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https://github.com/python-pillow/Pillow.git
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Merge pull request #1941 from uploadcare/cleanup-transforms
Cleanup transforms
This commit is contained in:
wiredfool
GitHub
commit
ebd3c35de5
89
PIL/Image.py
89
PIL/Image.py
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@ -30,6 +30,7 @@ from PIL import VERSION, PILLOW_VERSION, _plugins
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import logging
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import warnings
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import math
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logger = logging.getLogger(__name__)
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@ -995,8 +996,7 @@ class Image(object):
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im = self.im.convert("P", 1, palette.im)
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return self._makeself(im)
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im = self.im.quantize(colors, method, kmeans)
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return self._new(im)
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return self._new(self.im.quantize(colors, method, kmeans))
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def copy(self):
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"""
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@ -1007,8 +1007,7 @@ class Image(object):
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:returns: An :py:class:`~PIL.Image.Image` object.
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"""
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self.load()
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im = self.im.copy()
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return self._new(im)
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return self._new(self.im.copy())
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__copy__ = copy
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@ -1571,20 +1570,31 @@ class Image(object):
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:returns: An :py:class:`~PIL.Image.Image` object.
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"""
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angle = angle % 360.0
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# Fast paths regardless of filter
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if angle == 0:
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return self._new(self.im)
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if angle == 180:
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return self.transpose(ROTATE_180)
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if angle == 90 and expand:
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return self.transpose(ROTATE_90)
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if angle == 270 and expand:
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return self.transpose(ROTATE_270)
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angle = - math.radians(angle)
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matrix = [
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round(math.cos(angle), 15), round(math.sin(angle), 15), 0.0,
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round(-math.sin(angle), 15), round(math.cos(angle), 15), 0.0
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]
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def transform(x, y, matrix=matrix):
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(a, b, c, d, e, f) = matrix
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return a*x + b*y + c, d*x + e*y + f
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w, h = self.size
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if expand:
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import math
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angle = -angle * math.pi / 180
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matrix = [
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math.cos(angle), math.sin(angle), 0.0,
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-math.sin(angle), math.cos(angle), 0.0
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]
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def transform(x, y, matrix=matrix):
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(a, b, c, d, e, f) = matrix
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return a*x + b*y + c, d*x + e*y + f
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# calculate output size
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w, h = self.size
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xx = []
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yy = []
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for x, y in ((0, 0), (w, 0), (w, h), (0, h)):
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@ -1594,22 +1604,12 @@ class Image(object):
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w = int(math.ceil(max(xx)) - math.floor(min(xx)))
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h = int(math.ceil(max(yy)) - math.floor(min(yy)))
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# adjust center
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x, y = transform(w / 2.0, h / 2.0)
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matrix[2] = self.size[0] / 2.0 - x
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matrix[5] = self.size[1] / 2.0 - y
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# adjust center
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x, y = transform(w / 2.0, h / 2.0)
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matrix[2] = self.size[0] / 2.0 - x
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matrix[5] = self.size[1] / 2.0 - y
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return self.transform((w, h), AFFINE, matrix, resample)
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if resample not in (NEAREST, BILINEAR, BICUBIC):
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raise ValueError("unknown resampling filter")
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self.load()
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if self.mode in ("1", "P"):
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resample = NEAREST
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return self._new(self.im.rotate(angle, resample, expand))
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return self.transform((w, h), AFFINE, matrix, resample)
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def save(self, fp, format=None, **params):
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"""
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@ -1845,9 +1845,11 @@ class Image(object):
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if isinstance(method, ImageTransformHandler):
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return method.transform(size, self, resample=resample, fill=fill)
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if hasattr(method, "getdata"):
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# compatibility w. old-style transform objects
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method, data = method.getdata()
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if data is None:
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raise ValueError("missing method data")
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@ -1863,28 +1865,23 @@ class Image(object):
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def __transformer(self, box, image, method, data,
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resample=NEAREST, fill=1):
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# FIXME: this should be turned into a lazy operation (?)
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w = box[2]-box[0]
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h = box[3]-box[1]
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w = box[2] - box[0]
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h = box[3] - box[1]
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if method == AFFINE:
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# change argument order to match implementation
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data = (data[2], data[0], data[1],
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data[5], data[3], data[4])
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data = data[0:6]
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elif method == EXTENT:
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# convert extent to an affine transform
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x0, y0, x1, y1 = data
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xs = float(x1 - x0) / w
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ys = float(y1 - y0) / h
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method = AFFINE
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data = (x0 + xs/2, xs, 0, y0 + ys/2, 0, ys)
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data = (xs, 0, x0 + xs/2, 0, ys, y0 + ys/2)
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elif method == PERSPECTIVE:
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# change argument order to match implementation
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data = (data[2], data[0], data[1],
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data[5], data[3], data[4],
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data[6], data[7])
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data = data[0:8]
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elif method == QUAD:
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# quadrilateral warp. data specifies the four corners
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# given as NW, SW, SE, and NE.
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@ -1899,6 +1896,7 @@ class Image(object):
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(se[0]-sw[0]-ne[0]+x0)*As*At,
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y0, (ne[1]-y0)*As, (sw[1]-y0)*At,
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(se[1]-sw[1]-ne[1]+y0)*As*At)
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else:
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raise ValueError("unknown transformation method")
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@ -1935,8 +1933,7 @@ class Image(object):
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:param distance: Distance to spread pixels.
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"""
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self.load()
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im = self.im.effect_spread(distance)
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return self._new(im)
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return self._new(self.im.effect_spread(distance))
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def toqimage(self):
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"""Returns a QImage copy of this image"""
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88
_imaging.c
88
_imaging.c
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@ -1544,17 +1544,17 @@ _resize(ImagingObject* self, PyObject* args)
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if (imIn->xsize == xsize && imIn->ysize == ysize) {
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imOut = ImagingCopy(imIn);
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}
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else if ( ! filter) {
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else if (filter == IMAGING_TRANSFORM_NEAREST) {
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double a[6];
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memset(a, 0, sizeof a);
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a[1] = (double) imIn->xsize / xsize;
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a[5] = (double) imIn->ysize / ysize;
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a[0] = (double) imIn->xsize / xsize;
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a[4] = (double) imIn->ysize / ysize;
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imOut = ImagingNew(imIn->mode, xsize, ysize);
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imOut = ImagingTransformAffine(
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imOut, imIn,
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imOut = ImagingTransform(
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imOut, imIn, IMAGING_TRANSFORM_AFFINE,
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0, 0, xsize, ysize,
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a, filter, 1);
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}
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@ -1565,55 +1565,6 @@ _resize(ImagingObject* self, PyObject* args)
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return PyImagingNew(imOut);
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}
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static PyObject*
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_rotate(ImagingObject* self, PyObject* args)
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{
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Imaging imOut;
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Imaging imIn;
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double theta;
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int filter = IMAGING_TRANSFORM_NEAREST;
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int expand;
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if (!PyArg_ParseTuple(args, "d|i|i", &theta, &filter, &expand))
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return NULL;
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imIn = self->image;
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theta = fmod(theta, 360.0);
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if (theta < 0.0)
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theta += 360;
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if (filter && imIn->type != IMAGING_TYPE_SPECIAL) {
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/* Rotate with resampling filter */
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imOut = ImagingNew(imIn->mode, imIn->xsize, imIn->ysize);
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(void) ImagingRotate(imOut, imIn, theta, filter);
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} else if ((theta == 90.0 || theta == 270.0)
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&& (expand || imIn->xsize == imIn->ysize)) {
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/* Use fast version */
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imOut = ImagingNew(imIn->mode, imIn->ysize, imIn->xsize);
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if (imOut) {
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if (theta == 90.0)
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(void) ImagingRotate90(imOut, imIn);
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else
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(void) ImagingRotate270(imOut, imIn);
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}
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} else {
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imOut = ImagingNew(imIn->mode, imIn->xsize, imIn->ysize);
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if (imOut) {
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if (theta == 0.0)
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/* No rotation: simply copy the input image */
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(void) ImagingCopy2(imOut, imIn);
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else if (theta == 180.0)
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/* Use fast version */
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(void) ImagingRotate180(imOut, imIn);
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else
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/* Use ordinary version */
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(void) ImagingRotate(imOut, imIn, theta, 0);
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}
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}
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return PyImagingNew(imOut);
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}
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#define IS_RGB(mode)\
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(!strcmp(mode, "RGB") || !strcmp(mode, "RGBA") || !strcmp(mode, "RGBX"))
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@ -1662,7 +1613,6 @@ _transform2(ImagingObject* self, PyObject* args)
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{
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static const char* wrong_number = "wrong number of matrix entries";
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Imaging imIn;
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Imaging imOut;
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int n;
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double *a;
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@ -1698,30 +1648,9 @@ _transform2(ImagingObject* self, PyObject* args)
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if (!a)
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return NULL;
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imOut = self->image;
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imIn = imagep->image;
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/* FIXME: move transform dispatcher into libImaging */
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switch (method) {
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case IMAGING_TRANSFORM_AFFINE:
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imOut = ImagingTransformAffine(
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imOut, imIn, x0, y0, x1, y1, a, filter, 1
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);
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break;
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case IMAGING_TRANSFORM_PERSPECTIVE:
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imOut = ImagingTransformPerspective(
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imOut, imIn, x0, y0, x1, y1, a, filter, 1
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);
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break;
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case IMAGING_TRANSFORM_QUAD:
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imOut = ImagingTransformQuad(
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imOut, imIn, x0, y0, x1, y1, a, filter, 1
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);
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break;
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default:
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(void) ImagingError_ValueError("bad transform method");
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}
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imOut = ImagingTransform(
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self->image, imagep->image, method,
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x0, y0, x1, y1, a, filter, 1);
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free(a);
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@ -3048,7 +2977,6 @@ static struct PyMethodDef methods[] = {
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// There were two methods for image resize before.
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// Starting from Pillow 2.7.0 stretch is depreciated.
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{"stretch", (PyCFunction)_resize, 1},
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{"rotate", (PyCFunction)_rotate, 1},
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{"transpose", (PyCFunction)_transpose, 1},
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{"transform2", (PyCFunction)_transform2, 1},
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@ -1,35 +1,5 @@
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/*
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* The Python Imaging Library
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* $Id$
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*
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* the imaging geometry methods
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*
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* history:
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* 1995-06-15 fl Created
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* 1996-04-15 fl Changed origin
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* 1996-05-18 fl Fixed rotate90/270 for rectangular images
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* 1996-05-27 fl Added general purpose transform
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* 1996-11-22 fl Don't crash when resizing from outside source image
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* 1997-08-09 fl Fixed rounding error in resize
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* 1998-09-21 fl Incorporated transformation patches (from Zircon #2)
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* 1998-09-22 fl Added bounding box to transform engines
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* 1999-02-03 fl Fixed bicubic filtering for RGB images
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* 1999-02-16 fl Added fixed-point version of affine transform
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* 2001-03-28 fl Fixed transform(EXTENT) for xoffset < 0
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* 2003-03-10 fl Compiler tweaks
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* 2004-09-19 fl Fixed bilinear/bicubic filtering of LA images
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*
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* Copyright (c) 1997-2003 by Secret Labs AB
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* Copyright (c) 1995-1997 by Fredrik Lundh
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*
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* See the README file for information on usage and redistribution.
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*/
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#include "Imaging.h"
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/* Undef if you don't need resampling filters */
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#define WITH_FILTERS
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/* For large images rotation is an inefficient operation in terms of CPU cache.
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One row in the source image affects each column in destination.
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Rotating in chunks that fit in the cache can speed up rotation
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@ -72,6 +42,8 @@ ImagingFlipLeftRight(Imaging imOut, Imaging imIn)
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ImagingSectionLeave(&cookie);
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#undef FLIP_HORIZ
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return imOut;
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}
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@ -91,7 +63,7 @@ ImagingFlipTopBottom(Imaging imOut, Imaging imIn)
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ImagingSectionEnter(&cookie);
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yr = imIn->ysize-1;
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yr = imIn->ysize - 1;
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for (y = 0; y < imIn->ysize; y++, yr--)
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memcpy(imOut->image[yr], imIn->image[y], imIn->linesize);
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@ -137,6 +109,8 @@ ImagingRotate90(Imaging imOut, Imaging imIn)
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ImagingSectionLeave(&cookie);
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#undef ROTATE_90
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return imOut;
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}
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@ -152,6 +126,8 @@ ImagingTranspose(Imaging imOut, Imaging imIn)
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if (imIn->xsize != imOut->ysize || imIn->ysize != imOut->xsize)
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return (Imaging) ImagingError_Mismatch();
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ImagingCopyInfo(imOut, imIn);
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#define TRANSPOSE(image) \
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for (y = 0; y < imIn->ysize; y += ROTATE_CHUNK) { \
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for (x = 0; x < imIn->xsize; x += ROTATE_CHUNK) { \
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@ -165,34 +141,21 @@ ImagingTranspose(Imaging imOut, Imaging imIn)
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} \
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}
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ImagingCopyInfo(imOut, imIn);
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ImagingSectionEnter(&cookie);
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if (imIn->image8)
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TRANSPOSE(image8)
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else
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TRANSPOSE(image32)
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ImagingSectionLeave(&cookie);
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#undef TRANSPOSE
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return imOut;
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}
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Imaging
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ImagingTransposeToNew(Imaging imIn)
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{
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Imaging imTemp = ImagingNew(imIn->mode, imIn->ysize, imIn->xsize);
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if ( ! imTemp)
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return NULL;
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if ( ! ImagingTranspose(imTemp, imIn)) {
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ImagingDelete(imTemp);
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return NULL;
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}
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return imTemp;
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}
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Imaging
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ImagingRotate180(Imaging imOut, Imaging imIn)
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{
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@ -206,8 +169,6 @@ ImagingRotate180(Imaging imOut, Imaging imIn)
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ImagingCopyInfo(imOut, imIn);
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yr = imIn->ysize-1;
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#define ROTATE_180(image)\
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for (y = 0; y < imIn->ysize; y++, yr--) {\
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xr = imIn->xsize-1;\
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|
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@ -217,6 +178,7 @@ ImagingRotate180(Imaging imOut, Imaging imIn)
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ImagingSectionEnter(&cookie);
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yr = imIn->ysize-1;
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if (imIn->image8)
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ROTATE_180(image8)
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else
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@ -224,6 +186,8 @@ ImagingRotate180(Imaging imOut, Imaging imIn)
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ImagingSectionLeave(&cookie);
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#undef ROTATE_180
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return imOut;
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}
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@ -264,6 +228,8 @@ ImagingRotate270(Imaging imOut, Imaging imIn)
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ImagingSectionLeave(&cookie);
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#undef ROTATE_270
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return imOut;
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}
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@ -284,8 +250,8 @@ affine_transform(double* xin, double* yin, int x, int y, void* data)
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double a0 = a[0]; double a1 = a[1]; double a2 = a[2];
|
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double a3 = a[3]; double a4 = a[4]; double a5 = a[5];
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xin[0] = a0 + a1*x + a2*y;
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yin[0] = a3 + a4*x + a5*y;
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xin[0] = a0*x + a1*y + a2;
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yin[0] = a3*x + a4*y + a5;
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return 1;
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}
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@ -298,8 +264,8 @@ perspective_transform(double* xin, double* yin, int x, int y, void* data)
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double a3 = a[3]; double a4 = a[4]; double a5 = a[5];
|
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double a6 = a[6]; double a7 = a[7];
|
||||
|
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xin[0] = (a0 + a1*x + a2*y) / (a6*x + a7*y + 1);
|
||||
yin[0] = (a3 + a4*x + a5*y) / (a6*x + a7*y + 1);
|
||||
xin[0] = (a0*x + a1*y + a2) / (a6*x + a7*y + 1);
|
||||
yin[0] = (a3*x + a4*y + a5) / (a6*x + a7*y + 1);
|
||||
|
||||
return 1;
|
||||
}
|
||||
|
|
@ -321,10 +287,8 @@ quad_transform(double* xin, double* yin, int x, int y, void* data)
|
|||
|
||||
/* transform filters (ImagingTransformFilter) */
|
||||
|
||||
#ifdef WITH_FILTERS
|
||||
|
||||
static int
|
||||
nearest_filter8(void* out, Imaging im, double xin, double yin, void* data)
|
||||
nearest_filter8(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
int x = COORD(xin);
|
||||
int y = COORD(yin);
|
||||
|
|
@ -335,7 +299,7 @@ nearest_filter8(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
nearest_filter16(void* out, Imaging im, double xin, double yin, void* data)
|
||||
nearest_filter16(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
int x = COORD(xin);
|
||||
int y = COORD(yin);
|
||||
|
|
@ -346,7 +310,7 @@ nearest_filter16(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
nearest_filter32(void* out, Imaging im, double xin, double yin, void* data)
|
||||
nearest_filter32(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
int x = COORD(xin);
|
||||
int y = COORD(yin);
|
||||
|
|
@ -391,7 +355,7 @@ nearest_filter32(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
bilinear_filter8(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bilinear_filter8(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
BILINEAR_HEAD(UINT8);
|
||||
BILINEAR_BODY(UINT8, im->image8, 1, 0);
|
||||
|
|
@ -400,7 +364,7 @@ bilinear_filter8(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
bilinear_filter32I(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bilinear_filter32I(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
BILINEAR_HEAD(INT32);
|
||||
BILINEAR_BODY(INT32, im->image32, 1, 0);
|
||||
|
|
@ -409,7 +373,7 @@ bilinear_filter32I(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
bilinear_filter32F(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bilinear_filter32F(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
BILINEAR_HEAD(FLOAT32);
|
||||
BILINEAR_BODY(FLOAT32, im->image32, 1, 0);
|
||||
|
|
@ -418,7 +382,7 @@ bilinear_filter32F(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
bilinear_filter32LA(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bilinear_filter32LA(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
BILINEAR_HEAD(UINT8);
|
||||
BILINEAR_BODY(UINT8, im->image, 4, 0);
|
||||
|
|
@ -431,7 +395,7 @@ bilinear_filter32LA(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
bilinear_filter32RGB(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bilinear_filter32RGB(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
int b;
|
||||
BILINEAR_HEAD(UINT8);
|
||||
|
|
@ -442,6 +406,10 @@ bilinear_filter32RGB(void* out, Imaging im, double xin, double yin, void* data)
|
|||
return 1;
|
||||
}
|
||||
|
||||
#undef BILINEAR
|
||||
#undef BILINEAR_HEAD
|
||||
#undef BILINEAR_BODY
|
||||
|
||||
#define BICUBIC(v, v1, v2, v3, v4, d) {\
|
||||
double p1 = v2;\
|
||||
double p2 = -v1 + v3;\
|
||||
|
|
@ -494,7 +462,7 @@ bilinear_filter32RGB(void* out, Imaging im, double xin, double yin, void* data)
|
|||
|
||||
|
||||
static int
|
||||
bicubic_filter8(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bicubic_filter8(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
BICUBIC_HEAD(UINT8);
|
||||
BICUBIC_BODY(UINT8, im->image8, 1, 0);
|
||||
|
|
@ -508,7 +476,7 @@ bicubic_filter8(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
bicubic_filter32I(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bicubic_filter32I(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
BICUBIC_HEAD(INT32);
|
||||
BICUBIC_BODY(INT32, im->image32, 1, 0);
|
||||
|
|
@ -517,7 +485,7 @@ bicubic_filter32I(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
bicubic_filter32F(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bicubic_filter32F(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
BICUBIC_HEAD(FLOAT32);
|
||||
BICUBIC_BODY(FLOAT32, im->image32, 1, 0);
|
||||
|
|
@ -526,7 +494,7 @@ bicubic_filter32F(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
bicubic_filter32LA(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bicubic_filter32LA(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
BICUBIC_HEAD(UINT8);
|
||||
BICUBIC_BODY(UINT8, im->image, 4, 0);
|
||||
|
|
@ -554,7 +522,7 @@ bicubic_filter32LA(void* out, Imaging im, double xin, double yin, void* data)
|
|||
}
|
||||
|
||||
static int
|
||||
bicubic_filter32RGB(void* out, Imaging im, double xin, double yin, void* data)
|
||||
bicubic_filter32RGB(void* out, Imaging im, double xin, double yin)
|
||||
{
|
||||
int b;
|
||||
BICUBIC_HEAD(UINT8);
|
||||
|
|
@ -570,6 +538,10 @@ bicubic_filter32RGB(void* out, Imaging im, double xin, double yin, void* data)
|
|||
return 1;
|
||||
}
|
||||
|
||||
#undef BICUBIC
|
||||
#undef BICUBIC_HEAD
|
||||
#undef BICUBIC_BODY
|
||||
|
||||
static ImagingTransformFilter
|
||||
getfilter(Imaging im, int filterid)
|
||||
{
|
||||
|
|
@ -578,51 +550,51 @@ getfilter(Imaging im, int filterid)
|
|||
if (im->image8)
|
||||
switch (im->type) {
|
||||
case IMAGING_TYPE_UINT8:
|
||||
return (ImagingTransformFilter) nearest_filter8;
|
||||
return nearest_filter8;
|
||||
case IMAGING_TYPE_SPECIAL:
|
||||
switch (im->pixelsize) {
|
||||
case 1:
|
||||
return (ImagingTransformFilter) nearest_filter8;
|
||||
return nearest_filter8;
|
||||
case 2:
|
||||
return (ImagingTransformFilter) nearest_filter16;
|
||||
return nearest_filter16;
|
||||
case 4:
|
||||
return (ImagingTransformFilter) nearest_filter32;
|
||||
return nearest_filter32;
|
||||
}
|
||||
}
|
||||
else
|
||||
return (ImagingTransformFilter) nearest_filter32;
|
||||
return nearest_filter32;
|
||||
break;
|
||||
case IMAGING_TRANSFORM_BILINEAR:
|
||||
if (im->image8)
|
||||
return (ImagingTransformFilter) bilinear_filter8;
|
||||
return bilinear_filter8;
|
||||
else if (im->image32) {
|
||||
switch (im->type) {
|
||||
case IMAGING_TYPE_UINT8:
|
||||
if (im->bands == 2)
|
||||
return (ImagingTransformFilter) bilinear_filter32LA;
|
||||
return bilinear_filter32LA;
|
||||
else
|
||||
return (ImagingTransformFilter) bilinear_filter32RGB;
|
||||
return bilinear_filter32RGB;
|
||||
case IMAGING_TYPE_INT32:
|
||||
return (ImagingTransformFilter) bilinear_filter32I;
|
||||
return bilinear_filter32I;
|
||||
case IMAGING_TYPE_FLOAT32:
|
||||
return (ImagingTransformFilter) bilinear_filter32F;
|
||||
return bilinear_filter32F;
|
||||
}
|
||||
}
|
||||
break;
|
||||
case IMAGING_TRANSFORM_BICUBIC:
|
||||
if (im->image8)
|
||||
return (ImagingTransformFilter) bicubic_filter8;
|
||||
return bicubic_filter8;
|
||||
else if (im->image32) {
|
||||
switch (im->type) {
|
||||
case IMAGING_TYPE_UINT8:
|
||||
if (im->bands == 2)
|
||||
return (ImagingTransformFilter) bicubic_filter32LA;
|
||||
return bicubic_filter32LA;
|
||||
else
|
||||
return (ImagingTransformFilter) bicubic_filter32RGB;
|
||||
return bicubic_filter32RGB;
|
||||
case IMAGING_TYPE_INT32:
|
||||
return (ImagingTransformFilter) bicubic_filter32I;
|
||||
return bicubic_filter32I;
|
||||
case IMAGING_TYPE_FLOAT32:
|
||||
return (ImagingTransformFilter) bicubic_filter32F;
|
||||
return bicubic_filter32F;
|
||||
}
|
||||
}
|
||||
break;
|
||||
|
|
@ -631,18 +603,13 @@ getfilter(Imaging im, int filterid)
|
|||
return NULL;
|
||||
}
|
||||
|
||||
#else
|
||||
#define getfilter(im, id) NULL
|
||||
#endif
|
||||
|
||||
/* transformation engines */
|
||||
|
||||
Imaging
|
||||
ImagingTransform(
|
||||
ImagingGenericTransform(
|
||||
Imaging imOut, Imaging imIn, int x0, int y0, int x1, int y1,
|
||||
ImagingTransformMap transform, void* transform_data,
|
||||
ImagingTransformFilter filter, void* filter_data,
|
||||
int fill)
|
||||
int filterid, int fill)
|
||||
{
|
||||
/* slow generic transformation. use ImagingTransformAffine or
|
||||
ImagingScaleAffine where possible. */
|
||||
|
|
@ -652,6 +619,10 @@ ImagingTransform(
|
|||
char *out;
|
||||
double xx, yy;
|
||||
|
||||
ImagingTransformFilter filter = getfilter(imIn, filterid);
|
||||
if (!filter)
|
||||
return (Imaging) ImagingError_ValueError("bad filter number");
|
||||
|
||||
if (!imOut || !imIn || strcmp(imIn->mode, imOut->mode) != 0)
|
||||
return (Imaging) ImagingError_ModeError();
|
||||
|
||||
|
|
@ -671,8 +642,8 @@ ImagingTransform(
|
|||
for (y = y0; y < y1; y++) {
|
||||
out = imOut->image[y] + x0*imOut->pixelsize;
|
||||
for (x = x0; x < x1; x++) {
|
||||
if (!transform(&xx, &yy, x-x0, y-y0, transform_data) ||
|
||||
!filter(out, imIn, xx, yy, filter_data)) {
|
||||
if ( ! transform(&xx, &yy, x-x0, y-y0, transform_data) ||
|
||||
! filter(out, imIn, xx, yy)) {
|
||||
if (fill)
|
||||
memset(out, 0, imOut->pixelsize);
|
||||
}
|
||||
|
|
@ -719,8 +690,8 @@ ImagingScaleAffine(Imaging imOut, Imaging imIn,
|
|||
return (Imaging) ImagingError_MemoryError();
|
||||
}
|
||||
|
||||
xo = a[0];
|
||||
yo = a[3];
|
||||
xo = a[2];
|
||||
yo = a[5];
|
||||
|
||||
xmin = x1;
|
||||
xmax = x0;
|
||||
|
|
@ -734,7 +705,7 @@ ImagingScaleAffine(Imaging imOut, Imaging imIn,
|
|||
xmin = x;
|
||||
xintab[x] = xin;
|
||||
}
|
||||
xo += a[1];
|
||||
xo += a[0];
|
||||
}
|
||||
|
||||
#define AFFINE_SCALE(pixel, image)\
|
||||
|
|
@ -749,7 +720,7 @@ ImagingScaleAffine(Imaging imOut, Imaging imIn,
|
|||
for (x = xmin; x < xmax; x++)\
|
||||
out[x] = in[xintab[x]];\
|
||||
}\
|
||||
yo += a[5];\
|
||||
yo += a[4];\
|
||||
}
|
||||
|
||||
ImagingSectionEnter(&cookie);
|
||||
|
|
@ -762,6 +733,8 @@ ImagingScaleAffine(Imaging imOut, Imaging imIn,
|
|||
|
||||
ImagingSectionLeave(&cookie);
|
||||
|
||||
#undef AFFINE_SCALE
|
||||
|
||||
free(xintab);
|
||||
|
||||
return imOut;
|
||||
|
|
@ -770,8 +743,8 @@ ImagingScaleAffine(Imaging imOut, Imaging imIn,
|
|||
static inline int
|
||||
check_fixed(double a[6], int x, int y)
|
||||
{
|
||||
return (fabs(a[0] + x*a[1] + y*a[2]) < 32768.0 &&
|
||||
fabs(a[3] + x*a[4] + y*a[5]) < 32768.0);
|
||||
return (fabs(x*a[0] + y*a[1] + a[2]) < 32768.0 &&
|
||||
fabs(x*a[3] + y*a[4] + a[5]) < 32768.0);
|
||||
}
|
||||
|
||||
static inline Imaging
|
||||
|
|
@ -782,6 +755,7 @@ affine_fixed(Imaging imOut, Imaging imIn,
|
|||
/* affine transform, nearest neighbour resampling, fixed point
|
||||
arithmetics */
|
||||
|
||||
ImagingSectionCookie cookie;
|
||||
int x, y;
|
||||
int xin, yin;
|
||||
int xsize, ysize;
|
||||
|
|
@ -799,11 +773,13 @@ affine_fixed(Imaging imOut, Imaging imIn,
|
|||
a0 = FIX(a[0]); a1 = FIX(a[1]); a2 = FIX(a[2]);
|
||||
a3 = FIX(a[3]); a4 = FIX(a[4]); a5 = FIX(a[5]);
|
||||
|
||||
#undef FIX
|
||||
|
||||
#define AFFINE_TRANSFORM_FIXED(pixel, image)\
|
||||
for (y = y0; y < y1; y++) {\
|
||||
pixel *out;\
|
||||
xx = a0;\
|
||||
yy = a3;\
|
||||
xx = a2;\
|
||||
yy = a5;\
|
||||
out = imOut->image[y];\
|
||||
if (fill && x1 > x0)\
|
||||
memset(out+x0, 0, (x1-x0)*sizeof(pixel));\
|
||||
|
|
@ -814,18 +790,24 @@ affine_fixed(Imaging imOut, Imaging imIn,
|
|||
if (yin >= 0 && yin < ysize)\
|
||||
*out = imIn->image[yin][xin];\
|
||||
}\
|
||||
xx += a1;\
|
||||
yy += a4;\
|
||||
xx += a0;\
|
||||
yy += a3;\
|
||||
}\
|
||||
a0 += a2;\
|
||||
a3 += a5;\
|
||||
a2 += a1;\
|
||||
a5 += a4;\
|
||||
}
|
||||
|
||||
ImagingSectionEnter(&cookie);
|
||||
|
||||
if (imIn->image8)
|
||||
AFFINE_TRANSFORM_FIXED(UINT8, image8)
|
||||
else
|
||||
AFFINE_TRANSFORM_FIXED(INT32, image32)
|
||||
|
||||
ImagingSectionLeave(&cookie);
|
||||
|
||||
#undef AFFINE_TRANSFORM_FIXED
|
||||
|
||||
return imOut;
|
||||
}
|
||||
|
||||
|
|
@ -845,18 +827,14 @@ ImagingTransformAffine(Imaging imOut, Imaging imIn,
|
|||
double xo, yo;
|
||||
|
||||
if (filterid || imIn->type == IMAGING_TYPE_SPECIAL) {
|
||||
/* Filtered transform */
|
||||
ImagingTransformFilter filter = getfilter(imIn, filterid);
|
||||
if (!filter)
|
||||
return (Imaging) ImagingError_ValueError("unknown filter");
|
||||
return ImagingTransform(
|
||||
return ImagingGenericTransform(
|
||||
imOut, imIn,
|
||||
x0, y0, x1, y1,
|
||||
affine_transform, a,
|
||||
filter, NULL, fill);
|
||||
filterid, fill);
|
||||
}
|
||||
|
||||
if (a[2] == 0 && a[4] == 0)
|
||||
if (a[1] == 0 && a[3] == 0)
|
||||
/* Scaling */
|
||||
return ImagingScaleAffine(imOut, imIn, x0, y0, x1, y1, a, fill);
|
||||
|
||||
|
|
@ -872,8 +850,6 @@ ImagingTransformAffine(Imaging imOut, Imaging imIn,
|
|||
if (y1 > imOut->ysize)
|
||||
y1 = imOut->ysize;
|
||||
|
||||
ImagingCopyInfo(imOut, imIn);
|
||||
|
||||
/* translate all four corners to check if they are within the
|
||||
range that can be represented by the fixed point arithmetics */
|
||||
|
||||
|
|
@ -884,12 +860,14 @@ ImagingTransformAffine(Imaging imOut, Imaging imIn,
|
|||
/* FIXME: cannot really think of any reasonable case when the
|
||||
following code is used. maybe we should fall back on the slow
|
||||
generic transform engine in this case? */
|
||||
|
||||
ImagingCopyInfo(imOut, imIn);
|
||||
|
||||
xsize = (int) imIn->xsize;
|
||||
ysize = (int) imIn->ysize;
|
||||
|
||||
xo = a[0];
|
||||
yo = a[3];
|
||||
xo = a[2];
|
||||
yo = a[5];
|
||||
|
||||
#define AFFINE_TRANSFORM(pixel, image)\
|
||||
for (y = y0; y < y1; y++) {\
|
||||
|
|
@ -906,11 +884,11 @@ ImagingTransformAffine(Imaging imOut, Imaging imIn,
|
|||
if (yin >= 0 && yin < ysize)\
|
||||
*out = imIn->image[yin][xin];\
|
||||
}\
|
||||
xx += a[1];\
|
||||
yy += a[4];\
|
||||
xx += a[0];\
|
||||
yy += a[3];\
|
||||
}\
|
||||
xo += a[2];\
|
||||
yo += a[5];\
|
||||
xo += a[1];\
|
||||
yo += a[4];\
|
||||
}
|
||||
|
||||
ImagingSectionEnter(&cookie);
|
||||
|
|
@ -922,70 +900,35 @@ ImagingTransformAffine(Imaging imOut, Imaging imIn,
|
|||
|
||||
ImagingSectionLeave(&cookie);
|
||||
|
||||
#undef AFFINE_TRANSFORM
|
||||
|
||||
return imOut;
|
||||
}
|
||||
|
||||
Imaging
|
||||
ImagingTransformPerspective(Imaging imOut, Imaging imIn,
|
||||
int x0, int y0, int x1, int y1,
|
||||
double a[8], int filterid, int fill)
|
||||
ImagingTransform(Imaging imOut, Imaging imIn, int method,
|
||||
int x0, int y0, int x1, int y1,
|
||||
double a[8], int filterid, int fill)
|
||||
{
|
||||
ImagingTransformFilter filter = getfilter(imIn, filterid);
|
||||
if (!filter)
|
||||
return (Imaging) ImagingError_ValueError("bad filter number");
|
||||
ImagingTransformMap transform;
|
||||
|
||||
return ImagingTransform(
|
||||
switch(method) {
|
||||
case IMAGING_TRANSFORM_AFFINE:
|
||||
return ImagingTransformAffine(
|
||||
imOut, imIn, x0, y0, x1, y1, a, filterid, fill);
|
||||
break;
|
||||
case IMAGING_TRANSFORM_PERSPECTIVE:
|
||||
transform = perspective_transform;
|
||||
break;
|
||||
case IMAGING_TRANSFORM_QUAD:
|
||||
transform = quad_transform;
|
||||
break;
|
||||
default:
|
||||
return (Imaging) ImagingError_ValueError("bad transform method");
|
||||
}
|
||||
|
||||
return ImagingGenericTransform(
|
||||
imOut, imIn,
|
||||
x0, y0, x1, y1,
|
||||
perspective_transform, a,
|
||||
filter, NULL,
|
||||
fill);
|
||||
}
|
||||
|
||||
Imaging
|
||||
ImagingTransformQuad(Imaging imOut, Imaging imIn,
|
||||
int x0, int y0, int x1, int y1,
|
||||
double a[8], int filterid, int fill)
|
||||
{
|
||||
ImagingTransformFilter filter = getfilter(imIn, filterid);
|
||||
if (!filter)
|
||||
return (Imaging) ImagingError_ValueError("bad filter number");
|
||||
|
||||
return ImagingTransform(
|
||||
imOut, imIn,
|
||||
x0, y0, x1, y1,
|
||||
quad_transform, a,
|
||||
filter, NULL,
|
||||
fill);
|
||||
}
|
||||
|
||||
/* -------------------------------------------------------------------- */
|
||||
/* Convenience functions */
|
||||
|
||||
Imaging
|
||||
ImagingRotate(Imaging imOut, Imaging imIn, double theta, int filterid)
|
||||
{
|
||||
int xsize, ysize;
|
||||
double sintheta, costheta;
|
||||
double a[6];
|
||||
|
||||
/* Setup an affine transform to rotate around the image center */
|
||||
theta = -theta * M_PI / 180.0;
|
||||
sintheta = sin(theta);
|
||||
costheta = cos(theta);
|
||||
|
||||
xsize = imOut->xsize;
|
||||
ysize = imOut->ysize;
|
||||
|
||||
a[0] = -costheta * xsize/2 - sintheta * ysize/2 + xsize/2;
|
||||
a[1] = costheta;
|
||||
a[2] = sintheta;
|
||||
a[3] = sintheta * xsize/2 - costheta * ysize/2 + ysize/2;
|
||||
a[4] = -sintheta;
|
||||
a[5] = costheta;
|
||||
|
||||
return ImagingTransformAffine(
|
||||
imOut, imIn,
|
||||
0, 0, imOut->xsize, imOut->ysize,
|
||||
a, filterid, 1);
|
||||
transform, a, filterid, fill);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -236,8 +236,7 @@ extern void ImagingError_Clear(void);
|
|||
typedef int (*ImagingTransformMap)(double* X, double* Y,
|
||||
int x, int y, void* data);
|
||||
typedef int (*ImagingTransformFilter)(void* out, Imaging im,
|
||||
double x, double y,
|
||||
void* data);
|
||||
double x, double y);
|
||||
|
||||
/* Image Manipulation Methods */
|
||||
/* -------------------------- */
|
||||
|
|
@ -286,28 +285,14 @@ extern Imaging ImagingPointTransform(
|
|||
Imaging imIn, double scale, double offset);
|
||||
extern Imaging ImagingPutBand(Imaging im, Imaging imIn, int band);
|
||||
extern Imaging ImagingRankFilter(Imaging im, int size, int rank);
|
||||
extern Imaging ImagingRotate(
|
||||
Imaging imOut, Imaging imIn, double theta, int filter);
|
||||
extern Imaging ImagingRotate90(Imaging imOut, Imaging imIn);
|
||||
extern Imaging ImagingRotate180(Imaging imOut, Imaging imIn);
|
||||
extern Imaging ImagingRotate270(Imaging imOut, Imaging imIn);
|
||||
extern Imaging ImagingResample(Imaging imIn, int xsize, int ysize, int filter);
|
||||
extern Imaging ImagingTranspose(Imaging imOut, Imaging imIn);
|
||||
extern Imaging ImagingTransposeToNew(Imaging imIn);
|
||||
extern Imaging ImagingTransformPerspective(
|
||||
Imaging imOut, Imaging imIn, int x0, int y0, int x1, int y1,
|
||||
double a[8], int filter, int fill);
|
||||
extern Imaging ImagingTransformAffine(
|
||||
Imaging imOut, Imaging imIn, int x0, int y0, int x1, int y1,
|
||||
double a[6], int filter, int fill);
|
||||
extern Imaging ImagingTransformQuad(
|
||||
Imaging imOut, Imaging imIn, int x0, int y0, int x1, int y1,
|
||||
double a[8], int filter, int fill);
|
||||
extern Imaging ImagingTransform(
|
||||
Imaging imOut, Imaging imIn, int x0, int y0, int x1, int y1,
|
||||
ImagingTransformMap transform, void* transform_data,
|
||||
ImagingTransformFilter filter, void* filter_data,
|
||||
int fill);
|
||||
Imaging imOut, Imaging imIn, int method, int x0, int y0, int x1, int y1,
|
||||
double *a, int filter, int fill);
|
||||
extern Imaging ImagingUnsharpMask(
|
||||
Imaging imOut, Imaging im, float radius, int percent, int threshold);
|
||||
extern Imaging ImagingBoxBlur(Imaging imOut, Imaging imIn, float radius, int n);
|
||||
|
|
@ -338,12 +323,6 @@ extern Imaging ImagingChopXor(Imaging imIn1, Imaging imIn2);
|
|||
extern void ImagingCrack(Imaging im, int x0, int y0);
|
||||
|
||||
/* Graphics */
|
||||
struct ImagingAffineMatrixInstance {
|
||||
float a[9];
|
||||
};
|
||||
|
||||
typedef struct ImagingAffineMatrixInstance *ImagingAffineMatrix;
|
||||
|
||||
extern int ImagingDrawArc(Imaging im, int x0, int y0, int x1, int y1,
|
||||
float start, float end, const void* ink, int op);
|
||||
extern int ImagingDrawBitmap(Imaging im, int x0, int y0, Imaging bitmap,
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user