Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (24): 28-34.DOI: 10.3778/j.issn.1002-8331.2006-0446

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Overview of Motion Deblurring Techniques for Images

HUANG Zhengyuan, XIE Weicheng, HUANG Huaru, CAO Qian   

  1. 1.School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
    2.School of Automation, Chongqing University, Chongqing 400044, China
  • Online:2020-12-15 Published:2020-12-15



  1. 1.西华大学 电气与电子信息学院,成都 610039
    2.重庆大学 自动化学院,重庆 400044


As the carrier of human information communication, image contains a large number of information elements. During the acquisition process, motion blur will occur due to camera shake, object displacement and other reasons, resulting in the image cannot convey information correctly. This kind of degraded image can be repaired and restored by image motion blur restoration technology, which is a hot spot in the field of computer vision and image processing. The image motion blur reduction method is divided into two types by whether the blurring kernel is known. This paper elaborates the concept of image motion blur reduction, summarizes the methods and research status of the image motion blur reduction technology in recent years, advantages and disadvantages of each method are summarized and the experimental results are compared to classical method, key problems of the fuzzy kernel estimation and fuzzy data set are analyzed and the direction of the development suggestions are given, the image motion blur reduction technology development trend is prospected.

Key words: motion blur, image restoration, blurring kernel, blind deblurring



关键词: 运动模糊, 图像还原, 模糊核, 盲去模糊