Adaptive blotch detection method for old films based on statistics

被引：0
作者：
He, Kai [1 ]
Lü, Liang [1 ]
Meng, Chunzhi [1 ]
机构：
[1] School of Electronic Information Engineering, Tianjin University
来源：
Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology | 2014年 / 47卷 / 05期
关键词：
Adaptive threshold; Blotch detection; Local standard deviation; Old film restoration;
D O I：
10.11784/tdxbz201207011
中图分类号：
学科分类号：
摘要：
Due to fixed threshold in detecting blotches in different frames or different regions in one frame, the traditional ROD-based algorithm is lack of adaptivity, thus the detection result is affected greatly. In order to solve the above problem, an adaptive threshold detection method based on statistics was proposed in this paper. Different from traditional methods, which only compute gray level differences between isolated points, the proposed method can compute gray level differences within the neighborhood blocks of the points. Besides, the optimal threshold is determined by iterative threshold and the statistical properties between frames, so the adaptivity of the algorithm is improved. The simulation results show that the proposed method has more accurate blotch detection effect and better adaptivity than traditional ones.
引用
收藏
页码：427 / 432
页数：5
相关论文
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