摘要
通过分析均匀分布与Cauchy分布的分布机制,提出了一种改进的模拟退火图像盲复原算法,该算法选择Cauchy分布为随机扰动量来产生状态扰动函数。通过计算机仿真,验证了该算法对初值的鲁棒性和复原的效果优于基于均匀分布随机扰动量模拟退火盲解卷积算法,提高了收敛到最优解的速度。
After analyzing the distribution mechanisms of uniform distribution and Cauchy distribution, an algorithm of blind image restoration by simulated annealing based on Cauchy distribution random perturbation is proposed. Simulation results show that the improved method has better quality, robustness and speed of convergence comparing with simulated annealing algorithm based on uniform distribution random perturbation.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2006年第5期767-769,787,共4页
Journal of University of Electronic Science and Technology of China
关键词
图像复原
盲复原
盲解卷积
模拟退火
Cauchy分布
image restoration
blind restoration
blind deconvolution
simulated annealing
Cauchy distribution
