关键词: 超分辨率, 图像重建, 粒子群优化, 遗传算法, 混合算法

Abstract: This paper presents a hybrid algorithm integrated Particle Swarm Optimization（PSO） with crossover and select of Genetic algorithms.The proposed hybrid algorithm is tested by two functions with many peak values.Simulated results show that the method proposed in this paper has better ability of finding the global optimum than the standard PSO algorithm.At the same time，the presented approach is applied to restore high resolution image from multiple low-resolution degraded images.Experimental results indicate that the proposed method surpasses the hybrid algorithm method based on GA and descent gradient operator not only in eye fidelity but also in Peak Signal to Noise Ratio（PSNR）.

Key words: super-resolution, image reconstruction, Particle Swarm Optimization（PSO）, Genetic Algorithms（GA）, hybrid algorithms