Abstract
Color image quantization is used in several tasks of color image processing as an image segmentation, image compression, image watermarking, etc. In this paper we consider four traditional (MSE, PSNR, DE76 and DM) and four new perceptual metrics (DSCSI, HPSI, MDSIs and MDSIm) as useful tools for evaluating quantized images. The values of these metrics confirm that Wu’s algorithm can be used as effective deterministic initialization of K-Means method. No empty clusters are produced by this method of quantization. The experiments were realized using 24 benchmark color images for different numbers of quantization levels. The same quantization with additional Floyd-Steinberg dithering generates the images with even better values of tested perceptual metrics.
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