基于微粒群和模拟退火的图像恢复研究

Research of Image Restoration Algorithm Based on Particle Swarm Optimization and Simulated Annealing

提出了一种基于微粒群和模拟退火的图像恢复算法.算法结合了微粒群优化快速的搜索能力和模拟退火算法良好的全局收敛性能的优点,能应用于不同类型退化图像的恢复.仿真结果表明,该算法可使图像恢复效果得到改进和提高,是一种有效的图像恢复方法.

This paper proposes a image restoration method based on particle swarm optimization and simulated annealing algorithm. The method combines the advantage of particle swarm optimization and simulated annealing algorithm, and can apply to different types of degraded images. The simulation results indicate that this method can improve the performance of image restoration, and is a effective method of image restoration.