By Topic

Design and implementation for parallel particle swarm optimization color quantization algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhe Li ; College of Computer Technology and software Tianjin Polytechnic University, Tianjin, China ; Yong Chen

This paper presents the parallel particle swarm optimization color quantization algorithm, the parallel particle swarm optimization combines the nature parallel characters of standard particle swarm optimization with parallel computation models, and the parallel particle swarm optimization is applied color quantization of color image; According to the evolution theory of particle swarm, Through iterative optimization, the most superior palette is determined, and quantization of color mapping of every pixel is completed. Experiment results show that Parallel Particle Swarm Optimization Color Quantization Algorithm is obviously superior to standard particle swarm optimization since it has higher Performance.

Published in:

Computer and Information Application (ICCIA), 2010 International Conference on

Date of Conference:

3-5 Dec. 2010