图像恢复的智能处理  

Image recovery of intelligence disposal

作　　者：孙艳丽[1] 赵涛[1] 于丽兵[1] 

机构地区：[1]大连海事大学自动化与电气工程学院,辽宁大连116026

出　　处：《大连海事大学学报》2007年第S1期160-162,共3页Journal of Dalian Maritime University

摘　　要：为把一个退化的图像尽量恢复到它的原始面目,有关专家已经提出了许多有效的图像恢复方法,该文将遗传算法和模拟退火法相结合的算法应用到图像的恢复中,使用此算法恢复的图像与一般遗传算法恢复的图像进行对比分析,图像的清晰度明显优于后者,表明本算法比单纯使用遗传算法对图像恢复效果好.To recorer a degraded image to its original expression,many effective image recovery methods have been put forward to recover the paper discussed an image recovery method based on combination of the genetic algorithms with simulated annealing (SA) applying to the image recovery.In comparison with the result by general genetic algorithms producing,its clearness is better than later,Experiments show that this method is better than that only general genetic algorithms.It improves the image quantity of recovery.

关 键 词：图像恢复 遗传算法 模拟退火法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]