On Image Fusion Using a Novel Swarm Intelligent Optimization Algorithm

摘要

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.