上海大学学报(自然科学版) ›› 2018, Vol. 24 ›› Issue (5): 755-762.doi: 10.12066/j.issn.1007-2861.1853

• 研究论文 • 上一篇    下一篇

一种图像坏点检测及修正算法

胡云生1,3, 胡越黎1,2,3(), 燕明1,2, 承文龙1,3, 王权1,2   

  1. 1. 上海市电站自动化技术重点实验室, 上海 200444
    2. 上海大学 机电工程与自动化学院, 上海 200444
    3. 上海大学 微电子研究与开发中心, 上海 200444
  • 收稿日期:2016-11-02 出版日期:2018-10-30 发布日期:2018-10-26
  • 通讯作者: 胡越黎 E-mail:huyueli@shu.edu.cn

Detection and correction of dead pixels in an image

HU Yunsheng1,3, HU Yueli1,2,3(), YAN Ming1,2, CHENG Wenlong1,3, WANG Quan1,2   

  1. 1. Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200444, China
    2. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
    3. Microelectronic Research and Development Center, Shanghai University, Shanghai 200444, China
  • Received:2016-11-02 Online:2018-10-30 Published:2018-10-26
  • Contact: HU Yueli E-mail:huyueli@shu.edu.cn

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.

关键词: 图像坏点, 坏点检测, 坏点修正

Abstract:

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.

Key words: image dead pixel, dead pixel detection, dead pixel correction

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