Region-Based Coding of Color Images Using Karhunen-Loeve Transform

adaptive compression methods for color images. One, we use ferential pulse code modulation (DPCM) [25], transform clustering or segmentation procedures to determine self-similar coding [25, 30], and vector quantization [12], developed image regions. Two, for each such region we use a Karhunen– initially for encoding monochrome images. This approach Loeve compression method to model the important spatiois often restrictive, insofar as it fails to completely decorrechromatic information. Three, we employ linear prediction to late the source tristimulus signals and the redundancy reencode the resultant eigenimages. Finally, comparisons are tained between the color planes usually affects the coding made with current methods and improvements are demonperformance. Additionally, most of the standard algostrated particularly for low bit-rate coding of color textured rithms are based entirely on information theory, and, thereimages such as those that occur in aerial photography.  1997 fore, are not adapted to particular characteristics of images; Academic Press