摘要
为了最大化斑点检测中正确检测率与错误检测率之间的比值,改进了简单排序差分算法(SROD)的斑点判别准则,并提出新的斑点检测方法。针对同一帧图像中不同的斑点区域,使用自适应阈值迭代算法,使得每个斑点区域能够自动收敛到合适的阈值,同时采用纹理匹配方法克服了在斑点区域由于运动估计不准确而导致的偏差。通过对人工随机添加斑点的图像序列进行测试,实验结果表明,改进的方法比原有算法取得了更好的检测效果。
To maximize the ratio of correct detection and false alarm in this paper, a new blotch discriminant criterion and an improved blotch automatic detection method based on simple rank ordered differences （SROD） are proposed. The improved detector assigns the most appropriate thresholds to different blotches in a certain frame by using adaptive multi-threshold and utilizes texture matching to avoid the possible deviation caused by motion estimation in the regions with blotches. Performance evaluation is taken to image sequences with artificially corrupted blotches and the experimental results show that the improved method more better than before.
出处
《计算机工程与设计》
CSCD
北大核心
2010年第22期4851-4854,共4页
Computer Engineering and Design
基金
国家自然科学基金项目(60605012)
国家科技支撑计划基金项目(2006BAK13B10)
上海市重点学科建设基金项目(J50103)
上海市科委国际合作基金项目(09510700900)
关键词
影像修复
斑点检测
运动估计
纹理匹配
自适应多阈值
video inpainting
blotch detection
motion estimation
texture matching
adaptive multi-threshold
