On Image Fusion Using a Novel Swarm Intelligent Optimization Algorithm
This paper proposes an image fusion approach based on QPSO algorithm. We formulate the image fusion problem as an optimization problem and adopt Quantum-behaved Particle Swarm Optimization algorithm to solve the problem.Not only QPSO has less parameter to control, but also does its sampling space at each iteration cover the whole solution space. Thus QPSO can find the best solution quickly and guarantee to be global convergent. In this paper, another two methods, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are tested for performance comparison with QPSO, and the result show the good efficiency of QPSO algorithms to image fusion.
QPSO Algorithm Optimization Pixel Image Fusion
Chunying Teng Wenbo Xu
Institute of Information Technology, Southern Yangtze University Wu Xi, Jiang Su, 214122,China
国际会议
杭州
英文
338-340
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）