摘要
首先讨论了图象退化过程和引起图象退化的因素及恢复方法 ,并利用能量和图象局部统计特征 ,对局部最大熵图象恢复方法进行了改进 .实验表明 ,改进后的恢复方法不但具有与局部区域大小无关的特点 ,而且在改善图象灰度均匀性和对比度的同时 ,可人为控制图象的细节保持程度 .该算法运算量小、灵活 .
Firstly, this paper has briefly introduced the images degenera ted model, elements and image restoration method. Secondly, it has improved the local maximum entropy algorithm by applying the statistic property and the chara cteristics of different type image region. Experiment has proved that the algori thm has independence with degeneration model and the size of local image region. It can keep the image details as well as improve the balance of gray and the co ntrast of image. The algorithm has a small computing cost and flexibility.
出处
《中国图象图形学报（A辑）》
CSCD
2000年第7期589-592,共4页
Journal of Image and Graphics
关键词
图象退化
点扩散函数
局部最大熵
图象恢复
Degenerated image, Point spread function, Local maximum en tropy, Local variance, Local mean
