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Fully document PIL.ImageFilter
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Stephen Johnson
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@ -17,31 +17,28 @@
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from functools import reduce
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class Filter(object):
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pass
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##
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# Convolution filter kernel.
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class Kernel(Filter):
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"""
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Create a convolution kernel. The current version only
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supports 3x3 and 5x5 integer and floating point kernels.
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##
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# Create a convolution kernel. The current version only
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# supports 3x3 and 5x5 integer and floating point kernels.
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# <p>
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# In the current version, kernels can only be applied to
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# "L" and "RGB" images.
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#
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# @def __init__(size, kernel, **options)
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# @param size Kernel size, given as (width, height). In
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# the current version, this must be (3,3) or (5,5).
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# @param kernel A sequence containing kernel weights.
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# @param **options Optional keyword arguments.
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# @keyparam scale Scale factor. If given, the result for each
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# pixel is divided by this value. The default is the sum
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# of the kernel weights.
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# @keyparam offset Offset. If given, this value is added to the
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# result, after it has been divided by the scale factor.
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In the current version, kernels can only be applied to
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"L" and "RGB" images.
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:param size: Kernel size, given as (width, height). In the current
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version, this must be (3,3) or (5,5).
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:param kernel: A sequence containing kernel weights.
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:param scale: Scale factor. If given, the result for each pixel is
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divided by this value. the default is the sum of the
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kernel weights.
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:param offset: Offset. If given, this value is added to the result,
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after it has been divided by the scale factor.
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"""
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def __init__(self, size, kernel, scale=None, offset=0):
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if scale is None:
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@ -56,24 +53,23 @@ class Kernel(Filter):
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raise ValueError("cannot filter palette images")
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return image.filter(*self.filterargs)
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class BuiltinFilter(Kernel):
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def __init__(self):
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pass
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##
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# Rank filter.
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class RankFilter(Filter):
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name = "Rank"
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"""
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Create a rank filter. The rank filter sorts all pixels in
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a window of the given size, and returns the **rank**'th value.
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##
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# Create a rank filter. The rank filter sorts all pixels in
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# a window of the given size, and returns the rank'th value.
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#
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# @param size The kernel size, in pixels.
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# @param rank What pixel value to pick. Use 0 for a min filter,
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# size*size/2 for a median filter, size*size-1 for a max filter,
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# etc.
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:param size: The kernel size, in pixels.
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:param rank: What pixel value to pick. Use 0 for a min filter,
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``size * size / 2`` for a median filter, ``size * size - 1``
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for a max filter, etc.
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"""
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name = "Rank"
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def __init__(self, size, rank):
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self.size = size
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@ -85,99 +81,99 @@ class RankFilter(Filter):
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image = image.expand(self.size//2, self.size//2)
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return image.rankfilter(self.size, self.rank)
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##
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# Median filter. Picks the median pixel value in a window with the
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# given size.
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class MedianFilter(RankFilter):
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name = "Median"
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"""
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Create a median filter. Picks the median pixel value in a window with the
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given size.
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##
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# Create a median filter.
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#
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# @param size The kernel size, in pixels.
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:param size: The kernel size, in pixels.
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"""
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name = "Median"
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def __init__(self, size=3):
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self.size = size
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self.rank = size*size//2
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##
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# Min filter. Picks the lowest pixel value in a window with the given
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# size.
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class MinFilter(RankFilter):
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name = "Min"
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"""
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Create a min filter. Picks the lowest pixel value in a window with the
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given size.
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##
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# Create a min filter.
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#
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# @param size The kernel size, in pixels.
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:param size: The kernel size, in pixels.
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"""
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name = "Min"
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def __init__(self, size=3):
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self.size = size
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self.rank = 0
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##
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# Max filter. Picks the largest pixel value in a window with the
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# given size.
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class MaxFilter(RankFilter):
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name = "Max"
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"""
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Create a max filter. Picks the largest pixel value in a window with the
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given size.
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##
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# Create a max filter.
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#
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# @param size The kernel size, in pixels.
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:param size: The kernel size, in pixels.
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"""
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name = "Max"
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def __init__(self, size=3):
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self.size = size
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self.rank = size*size-1
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##
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# Mode filter. Picks the most frequent pixel value in a box with the
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# given size. Pixel values that occur only once or twice are ignored;
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# if no pixel value occurs more than twice, the original pixel value
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# is preserved.
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class ModeFilter(Filter):
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name = "Mode"
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"""
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##
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# Create a mode filter.
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#
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# @param size The kernel size, in pixels.
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Create a mode filter. Picks the most frequent pixel value in a box with the
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given size. Pixel values that occur only once or twice are ignored; if no
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pixel value occurs more than twice, the original pixel value is preserved.
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:param size: The kernel size, in pixels.
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"""
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name = "Mode"
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def __init__(self, size=3):
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self.size = size
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def filter(self, image):
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return image.modefilter(self.size)
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##
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# Gaussian blur filter.
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class GaussianBlur(Filter):
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"""Gaussian blur filter.
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:param radius: Blur radius.
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"""
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name = "GaussianBlur"
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def __init__(self, radius=2):
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self.radius = radius
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def filter(self, image):
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return image.gaussian_blur(self.radius)
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##
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# Unsharp mask filter.
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class UnsharpMask(Filter):
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"""Unsharp mask filter.
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See Wikipedia's entry on `digital unsharp masking`_ for an explanation of
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the parameters.
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.. _digital unsharp masking: https://en.wikipedia.org/wiki/Unsharp_masking#Digital_unsharp_masking
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"""
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name = "UnsharpMask"
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def __init__(self, radius=2, percent=150, threshold=3):
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self.radius = radius
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self.percent = percent
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self.threshold = threshold
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def filter(self, image):
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return image.unsharp_mask(self.radius, self.percent, self.threshold)
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##
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# Simple blur filter.
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class BLUR(BuiltinFilter):
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name = "Blur"
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@ -189,8 +185,6 @@ class BLUR(BuiltinFilter):
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1, 1, 1, 1, 1
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)
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##
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# Simple contour filter.
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class CONTOUR(BuiltinFilter):
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name = "Contour"
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@ -200,8 +194,6 @@ class CONTOUR(BuiltinFilter):
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-1, -1, -1
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)
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##
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# Simple detail filter.
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class DETAIL(BuiltinFilter):
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name = "Detail"
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@ -211,8 +203,6 @@ class DETAIL(BuiltinFilter):
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0, -1, 0
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)
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##
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# Simple edge enhancement filter.
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class EDGE_ENHANCE(BuiltinFilter):
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name = "Edge-enhance"
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@ -222,8 +212,6 @@ class EDGE_ENHANCE(BuiltinFilter):
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-1, -1, -1
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)
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##
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# Simple stronger edge enhancement filter.
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class EDGE_ENHANCE_MORE(BuiltinFilter):
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name = "Edge-enhance More"
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@ -233,8 +221,6 @@ class EDGE_ENHANCE_MORE(BuiltinFilter):
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-1, -1, -1
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)
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##
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# Simple embossing filter.
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class EMBOSS(BuiltinFilter):
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name = "Emboss"
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@ -244,8 +230,6 @@ class EMBOSS(BuiltinFilter):
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0, 0, 0
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)
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##
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# Simple edge-finding filter.
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class FIND_EDGES(BuiltinFilter):
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name = "Find Edges"
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@ -255,8 +239,6 @@ class FIND_EDGES(BuiltinFilter):
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-1, -1, -1
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)
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##
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# Simple smoothing filter.
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class SMOOTH(BuiltinFilter):
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name = "Smooth"
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@ -266,8 +248,6 @@ class SMOOTH(BuiltinFilter):
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1, 1, 1
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)
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##
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# Simple stronger smoothing filter.
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class SMOOTH_MORE(BuiltinFilter):
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name = "Smooth More"
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@ -279,8 +259,6 @@ class SMOOTH_MORE(BuiltinFilter):
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1, 1, 1, 1, 1
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)
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##
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# Simple sharpening filter.
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class SHARPEN(BuiltinFilter):
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name = "Sharpen"
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47
docs/reference/ImageFilter.rst
Normal file
47
docs/reference/ImageFilter.rst
Normal file
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@ -0,0 +1,47 @@
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.. py:module:: PIL.ImageFilter
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.. py:currentmodule:: PIL.ImageFilter
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:mod:`ImageFilter` Module
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=========================
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The :py:mod:`ImageFilter` module contains definitions for a pre-defined set of
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filters, which can be be used with :py:meth:`Image.filter()
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<PIL.Image.Image.filter>`.
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Example Filter an image
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-----------------------
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.. code-block:: python
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import ImageFilter
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im1 = im.filter(ImageFilter.BLUR)
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im2 = im.filter(ImageFilter.MinFilter(3))
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im3 = im.filter(ImageFilter.MinFilter) # same as MinFilter(3)
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Filters
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-------
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The current version of the library provides the following set of predefined
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image enhancement filters:
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* **BLUR**
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* **CONTOUR**
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* **DETAIL**
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* **EDGE_ENHANCE**
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* **EDGE_ENHANCE_MORE**
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* **EMBOSS**
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* **FIND_EDGES**
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* **SMOOTH**
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* **SMOOTH_MORE**
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* **SHARPEN**
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.. autoclass:: PIL.ImageFilter.GaussianBlur
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.. autoclass:: PIL.ImageFilter.UnsharpMask
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.. autoclass:: PIL.ImageFilter.Kernel
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.. autoclass:: PIL.ImageFilter.RankFilter
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.. autoclass:: PIL.ImageFilter.MedianFilter
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.. autoclass:: PIL.ImageFilter.MinFilter
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.. autoclass:: PIL.ImageFilter.MaxFilter
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.. autoclass:: PIL.ImageFilter.ModeFilter
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@ -10,4 +10,5 @@ Reference
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ImageDraw
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ImageEnhance
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ImageFile
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ImageFilter
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../PIL
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