SIMD. replace benchmarks with link to pillow-perf

SIMD. for resizing

SIMD. Update readme

SIMD. fix mark

SIMD. Update Uploadcare logo in readme

README.md

@@ -1,7 +1,7 @@
 # Pillow-SIMD
 
-Pillow-SIMD is "following" Pillow (which is a PIL's fork itself).
+Pillow-SIMD is "following" [Pillow][original-docs].
-"Following" here means than Pillow-SIMD versions are 100% compatible
+Pillow-SIMD versions are 100% compatible
 drop-in replacements for Pillow of the same version.
 For example, `Pillow-SIMD 3.2.0.post3` is a drop-in replacement for
 `Pillow 3.2.0`, and  `Pillow-SIMD 3.3.3.post0` — for `Pillow 3.3.3`.
@@ -40,7 +40,7 @@ The project is supported by Uploadcare, a SAAS for cloud-based image storing and
 
 [![Uploadcare][uploadcare.logo]][uploadcare.com]
 
-In fact, Uploadcare has been running Pillow-SIMD for about two years now.
+In fact, Uploadcare has been running Pillow-SIMD for about three years now.
 
 The following image operations are currently SIMD-accelerated:
 
@@ -48,76 +48,23 @@ The following image operations are currently SIMD-accelerated:
 - Gaussian and box blur: SSE4
 - Alpha composition: SSE4, AVX2
 - RGBA → RGBa (alpha premultiplication): SSE4, AVX2
-- RGBa → RGBA (division by alpha): AVX2
+- RGBa → RGBA (division by alpha): SSE4, AVX2
-
+- RGB → L (grayscale): SSE4
-See [CHANGES](CHANGES.SIMD.rst) for more information.
+- 3x3 and 5x5 kernel filters: SSE4, AVX2
-
+- Split and get_channel: SSE4
 
 
 ## Benchmarks
 
-In order for you to clearly assess the productivity of implementing SIMD computing into Pillow image processing, 
+Tons of tests can be found on the [Pillow Performance][pillow-perf-page] page.
-we ran a number of benchmarks. The respective results can be found in the table below (the more — the better). 
+There are benchmarks against different versions of Pillow and Pillow-SIMD
-The numbers represent processing rates in megapixels per second (Mpx/s). 
+as well as ImageMagick, Skia, OpenCV and IPP.
-For instance, the rate at which a 2560x1600 RGB image is processed in 0.5 seconds equals to 8.2 Mpx/s.
-Here is the list of libraries and their versions we've been up to during the benchmarks:
 
-- Skia 53
+The results show that for resizing Pillow is always faster than ImageMagick, 
-- ImageMagick 6.9.3-8 Q8 x86_64
+Pillow-SIMD, in turn, is even faster than the original Pillow by the factor of 4-6. 
-- Pillow 3.4.1
-- Pillow-SIMD 3.4.1.post1
-
-Operation               | Filter  | IM   | Pillow| SIMD SSE4| SIMD AVX2| Skia 53
-------------------------|---------|------|-------|----------|----------|--------
-**Resize to 16x16**     | Bilinear| 41.37| 317.28|   1282.85|   1601.85|  809.49
-                        | Bicubic | 20.58| 174.85|    712.95|    900.65|  453.10
-                        | Lanczos | 14.17| 117.58|    438.60|    544.89|  292.57
-**Resize to 320x180**   | Bilinear| 29.46| 195.21|    863.40|   1057.81|  592.76
-                        | Bicubic | 15.75| 118.79|    503.75|    504.76|  327.68
-                        | Lanczos | 10.80|  79.59|    312.05|    384.92|  196.92
-**Resize to 1920x1200** | Bilinear| 17.80|  68.39|    215.15|    268.29|  192.30
-                        | Bicubic |  9.99|  49.23|    170.41|    210.62|  112.84
-                        | Lanczos |  6.95|  37.71|    130.00|    162.57|  104.76
-**Resize to 7712x4352** | Bilinear|  2.54|   8.38|     22.81|     29.17|   20.58
-                        | Bicubic |  1.60|   6.57|     18.23|     23.94|   16.52
-                        | Lanczos |  1.09|   5.20|     14.90|     20.40|   12.05
-**Blur**                | 1px     |  6.60|  16.94|     35.16|          |        
-                        | 10px    |  2.28|  16.94|     35.47|          |        
-                        | 100px   |  0.34|  16.93|     35.53|          |        
-
-
-### A brief conclusion
-
-The results show that Pillow is always faster than ImageMagick, 
-Pillow-SIMD, in turn, is even faster than the original Pillow by the factor of 4-5. 
 In general, Pillow-SIMD with AVX2 is always **16 to 40 times faster** than 
 ImageMagick and outperforms Skia, the high-speed graphics library used in Chromium.
 
-### Methodology
-
-All rates were measured using the following setup: Ubuntu 14.04 64-bit, 
-single-thread AVX2-enabled Intel i5 4258U CPU.
-ImageMagick performance was measured with the `convert` command-line tool 
-followed by `-verbose` and `-bench` arguments.
-Such approach was used because there's usually a need in testing 
-the latest software versions and command-line is the easiest way to do that.
-All the routines involved with the testing procedure produced identic results.
-Resizing filters compliance:
-
-- PIL.Image.BILINEAR == Triangle
-- PIL.Image.BICUBIC == Catrom
-- PIL.Image.LANCZOS == Lanczos
-
-In ImageMagick, Gaussian blur operation invokes two parameters: 
-the first is called 'radius' and the second is called 'sigma'.
-In fact, in order for the blur operation to be Gaussian, there should be no additional parameters. 
-When the radius value is too small the blur procedure ceases to be Gaussian and 
-if the value is excessively big the operation gets slowed down with zero benefits in exchange. 
-For the benchmarking purposes, the radius was set to `sigma × 2.5`.
-
-Following script was used for the benchmarking procedure:
-https://gist.github.com/homm/f9b8d8a84a57a7e51f9c2a5828e40e63
-
 
 ## Why Pillow itself is so fast
 
@@ -125,6 +72,7 @@ No cheats involved. We've used identical high-quality resize and blur methods fo
 Outcomes produced by different libraries are in almost pixel-perfect agreement. 
 The difference in measured rates is only provided with the performance of every involved algorithm. 
 
+
 ## Why Pillow-SIMD is even faster
 
 Because of the SIMD computing, of course. But there's more to it: 
@@ -159,6 +107,7 @@ $ pip uninstall pillow
 $ CC="cc -mavx2" pip install -U --force-reinstall pillow-simd
 ```
 
+
 ## Contributing to Pillow-SIMD
 
 Please be aware that Pillow-SIMD and Pillow are two separate projects.
@@ -166,10 +115,13 @@ Please submit bugs and improvements not related to SIMD to the [original Pillow]
 All bugfixes to the original Pillow will then be transferred to the next Pillow-SIMD version automatically.
 
 
-  [original-docs]: http://pillow.readthedocs.io/
+  [original-homepage]: https://python-pillow.org/
+  [original-docs]: https://pillow.readthedocs.io/
   [original-issues]: https://github.com/python-pillow/Pillow/issues/new
   [original-changelog]: https://github.com/python-pillow/Pillow/blob/master/CHANGES.rst
   [original-contribute]: https://github.com/python-pillow/Pillow/blob/master/.github/CONTRIBUTING.md
-  [gaussian-blur-changes]: http://pillow.readthedocs.io/en/3.2.x/releasenotes/2.7.0.html#gaussian-blur-and-unsharp-mask
+  [gaussian-blur-changes]: https://pillow.readthedocs.io/en/3.2.x/releasenotes/2.7.0.html#gaussian-blur-and-unsharp-mask
+  [pillow-perf-page]: https://python-pillow.github.io/pillow-perf/
+  [pillow-perf-repo]: https://github.com/python-pillow/pillow-perf
   [uploadcare.com]: https://uploadcare.com/?utm_source=github&utm_medium=description&utm_campaign=pillow-simd
-  [uploadcare.logo]: https://ucarecdn.com/dc4b8363-e89f-402f-8ea8-ce606664069c/-/preview/
+  [uploadcare.logo]: https://ucarecdn.com/74c4d283-f7cf-45d7-924c-fc77345585af/uploadcare.svg