Quantization of Images based on Color Levels in Histogram

Abstract

In this paper, developed an algorithm of image quantization based on histogram distribution. Aim of study presented an algorithm that working on separating regions of images depending on real brightness ranges of colors in the histogram representation and color intensity distribution. The new way of image quantization represented lead to avoiding overlap of regions and reducing calculation’s complexities for image segmentation that followed image quantization stage, where it’s acts main steps in Image analysis and preprocessing. The proposed algorithm providing high accuracy of image quantization comparing with the methods of quantization presented recently.