On Image Compression Using Evolutionary Computation And Swarm Intelligence
Advances in compression technique will have to keep pace with the exponential increase in the need for storage and transport of bulky multimedia images. In this paper, a method of based on Quantum-behaved Particle Swarm Optimization(QPSO)7, 8 is proposed in order to realize the image compression problem and show a pack of graph with small bits, in view of dada is too vast and affect users to receive and use availably. Our experiment results indicate that the QPSO algorithm is a kind of efficient and reliable optimization arithmetic than Genetic Algorithms in resolving the image compression problem. The performance gain is especially significant for the image disposal.
QPSO algorithms Genetic algorithms image compression
Yuping Chen
College of Information Technology, Southern Yangtze University Wuxi, Jiangsu 214122, China
国际会议
杭州
英文
312-316
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）