Ximagic Quantizer is a Photoshop plug-in that provides support for image dithering and color quantization (color reduction).
Color quantization and dithering of images is an old field in image processing. There are a lot of algorithms and implementations, but there is not a method which is the best for everything.
Moreover, color reduction and dithering can be used for several purposes, not only to palletize an image and even to palletize an image the best method can be different for different images or palette size.
Ximagic Quantizer try to include the most known methods of Color quantization and Dithering, and allow the user to choose which one to use.
Here are some key features of "Ximagic Quantizer":
· 10 color quantization methods.
· Xiaolin Wu v2
· Dennis lee v3
· Binary Split
· Lloyd (K-Means)
· 2 error diffusion dither methods.
· 8 Array patterns (floyd-steinberg, ulichney, fan, jarvis, stucki, sierra).
· 1 Space filling curve (riemersma)
The available color quantization methods are:
· Popularity (Tom Boyle and Andy Lippman- 1978)
· Median cut (Paul S. Heckbert - 1980)
· The most used method, gives usually a good results and can be used sometimes without dithering.
· Octree (Gervautz and Purgathofer - 1988)
· Octree algorithm is really a family of algorithms. The one included reduces the tree lowest-population first and can be used in one pass, building and pruning the tree at the same time, or in 2 passes first building the tree and then pruning it. The result of the two pass method is better.
· Xiaolin Wu v2 (Xiaolin Wu 1992)
· Greedy orthogonal bipartition of RGB space for variance minimization aided by inclusion-exclusion tricks. (Author's description)
· Dennis Lee v3 ( (C) Dennis Lee 1997)
· A 2-pass color Quantizer that uses an exhaustive search technique to minimize error introduced at each step during palData reduction. (Author's description)
· Binary Split (Orchard and Bouman 1991)
· Lloyd algorithm (K-Means) (S. Lloyd 1957)
· NeuQuant ( (C) Anthony Dekker 1994)
· Method using Kohonen self organizing maps. Usually the best one according to RMSE.
· SColorQ (Spatial Color Quantization - Jan Puzicha et all 1998)
· Method for simultaneous quantization and dithering. Very good for small palettes, 16 colors or less, when other methods even with dithering don't work well.
The available error dithering methods are:
· Error Diffusion
· Space filling curves
· The plugin could also calculate RMSE (Root Mean Squared Error). Although this value is not equivalent to visual quality, it is generally accepted as a good measure of the quality. To get the RMSE mark the "calculate RMSE" check.
· RMSE measures of different methods applied to the standard Lena image could be found here
· The quantization & dithering can be processed in RGB or YCbCr colorspace. Quantization & dithering algorithms use the distance between colors to work. In RGB colorspace the Euclidean distance between colors doesn't represent the perceptual distance. In YCbCr or CIELab the Euclidean distance is a more approximate measure of difference. In the near future a CIELab option will be provided.
· 32/64 bit plugin host
· 30 days trial.
What's New in This Release: [ read full changelog ]
· Added show/save palette window
· Added "calculate from selected and apply to all" in the calculated palettes
· Updated all the external libraries