【作者】 陈文颉； 窦丽华；

【Author】 CHEN Wenjie 1,2,DOU Lihua 1,2 1.School of Automation,Beijing Institute of Technology,Beijing,100081,P.R.China2.Key Laboratory of Complex System Intelligent Control and Decision(Beijing Institute of Technology),Ministry of Education,Beijing,100081,P.R.China

【机构】 北京理工大学自动化学院； 北京市自动控制系统重点实验室(北京理工大学)；

【摘要】 本文针对图像恢复中由于图像退化的原因未知或难以表达,传统的逆滤波等方法不能取得很好的效果,提出了一种改进的遗传算法(improvedGA,IGA),应用用于图像的恢复。同时针对图像的恢复,从整体入手,对遗传操作、群体策略、保持群体多样性等方面都进行了改进。其中加入混沌优化、混合选择、精英保留策略等新改进操作,使得本文提出的图像复原方法在兼顾全局搜索性能和遗传算法的收敛速度的情况下取得了较好的复原效果。更多还原

【Abstract】 In this paper,aimed at the problem of conventional image restore method faced to unknown reason of image degrading,a new IGA(improved GA)is brought out and applied to image restoration.And aimed at image restoration problem,the operation of heredity,the group strategy,and maintenance the group variety are all improved as a whole.In this algorithm,the Chaos optimization,the mixed selection and elite reservation method are added,so the algorithm of this paper can give attention to both global search ability and convergence speed and it can give out satisfy restoration result..更多还原