摘要
针对电影霉斑噪声的修复问题,建立了一种自适应平滑修复模型。该模型专门针对噪声特性设计了双向匹配度算法。该算法能不加任何逻辑判断,即可自适应地根据噪声的污染情况找到需要的运动矢量。该模型利用韦伯比设立的噪声检测模型,不仅具有较高的灵敏度和准确度,同时利用膨胀算法解决了噪声的边缘修复问题。针对真实视频序列进行的实验结果表明,去噪效果较好,可见该算法是有效性的。
Self-adaptive Smooth Corrector model（SASC） is proposed for the restoration of the blotch. An algorithm, named bidirectional matching, is designed for motion estimation in the restoration specially. Without making judgment, this algorithm can detect the suitable motion direction on different situations of noise occupation. The Weber ratio is used to make the noise detector to be sensitive and accurate and the bulge algorithm is used to deal with the edge-problem of the noise. Experimental results using video sequence with real fihn have demonstrated the availability of the method.
出处
《中国图象图形学报》
CSCD
北大核心
2007年第10期1926-1930,共5页
Journal of Image and Graphics
关键词
霉斑噪声
自适应检测
韦伯比
三步搜索
blotch noise, self-adapting detect, Weber ratio, three step search
