Package org.glavo.monetfx.internal.quantize

package org.glavo.monetfx.internal.quantize

Class	Description
PointProvider	An interface to allow use of different color spaces by quantizers.
PointProviderLab	Provides conversions needed for K-Means quantization.
QuantizerCelebi	An image quantizer that improves on the quality of a standard K-Means algorithm by setting the K-Means initial state to the output of a Wu quantizer, instead of random centroids.
QuantizerMap	Creates a dictionary with keys of colors, and values of count of the color
QuantizerResult	Represents result of a quantizer run
QuantizerWsmeans	An image quantizer that improves on the speed of a standard K-Means algorithm by implementing several optimizations, including deduping identical pixels and a triangle inequality rule that reduces the number of comparisons needed to identify which cluster a point should be moved to.
QuantizerWu	An image quantizer that divides the image's pixels into clusters by recursively cutting an RGB cube, based on the weight of pixels in each area of the cube.