摘要
针对在图像传感器制造以及使用过程中,因各种原因造成的图像坏点,提出一种坏点检测及修正算法.该算法对多个连续坏点的情况具有较好的处理效果,并且能对坏点是否处于图像边缘处进行预判,有效实现对图像边缘处的坏点进行校正,并对提高图像的保边效果具有显著优势.实验结果表明,与已有的一些算法相比,该算法能有效消除坏点,具有保边效果良好、坏点误检数目相对较少、处理效果更好的优势.
Focusing on image dead pixels due to various factors in the manufacturing process of the imaging sensor and in applications,this paper proposes an algorithm to detect and correct dead pixels.The algorithm judges whether certain dead pixels locate at edges,and if so,calibrates them so that edges are preserved.Experimental results show effectiveness of the algorithm in removing dead pixels.Compared with other algorithms,the algorithm has stronger edge preserving ability,better processing performance and less detection errors.
作者
胡云生
胡越黎
燕明
承文龙
王权
HU Yunsheng;HU Yueli;YAN Ming;CHENG Wenlong;WANG Quan(Shanghai Key Laboratory of Power Station Automation Technology,Shanghai 200444,China;School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444,China;Microelectronic Research and Development Center,Shanghai University,Shanghai 200444,China)
出处
《上海大学学报(自然科学版)》
CAS
CSCD
北大核心
2018年第5期755-762,共8页
Journal of Shanghai University:Natural Science Edition
关键词
图像坏点
坏点检测
坏点修正
image dead pixel
dead pixel detection
dead pixel correction