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

图像运动模糊还原技术综述

黄正源,谢维成,黄化入,曹倩   

  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

Abstract:

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

摘要:

图像作为人类信息交流的载体,包含大量信息元素,图像在获取过程中,会因相机抖动、物体位移等原因产生运动模糊,导致图像无法正确传递信息。图像运动模糊还原技术可将此类退化图像修复还原,是当前计算机视觉及图像处理领域的热点。通过模糊核是否已知将图像运动模糊还原方法分为两类,详细阐述了图像运动模糊还原的概念,归纳梳理了近年来图像运动模糊还原技术的方法及研究现状,总结了各方法的优缺点并对经典方法实验结果进行了对比,对模糊核估计及模糊数据集等关键问题进行了分析并对其发展方向给出了建议,最后对图像运动模糊还原技术发展趋势进行了展望。

关键词: 运动模糊, 图像还原, 模糊核, 盲去模糊