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Joint Color Quantization and Dithering Techniques

by Mohammed Ahmed Hassan
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 7
Year of Publication: 2015
Authors: Mohammed Ahmed Hassan
10.5120/cae2015651992

Mohammed Ahmed Hassan . Joint Color Quantization and Dithering Techniques. Communications on Applied Electronics. 3, 7 ( December 2015), 1-8. DOI=10.5120/cae2015651992

@article{ 10.5120/cae2015651992,
author = { Mohammed Ahmed Hassan },
title = { Joint Color Quantization and Dithering Techniques },
journal = { Communications on Applied Electronics },
issue_date = { December 2015 },
volume = { 3 },
number = { 7 },
month = { December },
year = { 2015 },
issn = { 2394-4714 },
pages = { 1-8 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume3/number7/476-2015651992/ },
doi = { 10.5120/cae2015651992 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:43:38.895527+05:30
%A Mohammed Ahmed Hassan
%T Joint Color Quantization and Dithering Techniques
%J Communications on Applied Electronics
%@ 2394-4714
%V 3
%N 7
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Color quantization process is considered in two stages: the selection of an optimal color palette and the mapping of each pixel of the image to a color from the color palette. Since the color palette is limited, some disturbing degradations such as false contours are visible on delivered color quantized images. A common way to overcome this problem is the use of dithering techniques. In this paper, two methods for color quantization are proposed for the use with color dithering techniques in a way that better results will be obtained after dithering. The results show that the proposed methods, when used with dithering techniques, significantly improve the visual quality of the resulting color quantized images compared to the traditional color quantization algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Color Images fractal dimensions error diffusion combined quantization and error diffusion

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