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Technology of Graphic & Image
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278-281

Image motion deblur algorithm based on motion information

Dong Xingyu
Liu Chuanqi
Zhao Jiankang
School of Electronic Information & Electrical Engineering, Shanghai Jiao Tong University, Shanghai 201100, China

Abstract

The existing motion deblurring algorithm is difficult to effectively recover the composite motion blur with large rotational motion. This paper proposed a neural network framework based on U-net model for this problem. By combining motion information to the input of network, this framework gave different motion constraint to each pixel. Through the structure of encoder and decoder, each pixel obtained the prediction value, thereby the blurry image could be recovered in an end-to-end manner. The experiment was compared with the current state-of-art deblurring algorithm on the universal data set. This method improved the PSNR value of the best algorithm by 0.14 dB, and reduced the running time of the best real-time algorithm by 0.1 s. At the same time, it was verified on the test dataset with rotational motion. This proves that the algorithm obtains better restoration quality.

Foundation Support

国家重点研发计划项目(2016YFC0200400)
国家自然科学基金资助项目(61673265)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.10.0647
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 1
Section: Technology of Graphic & Image
Pages: 278-281
Serial Number: 1001-3695(2021)01-056-0278-04

Publish History

[2021-01-05] Printed Article

Cite This Article

董星煜, 刘传奇, 赵健康. 融合运动信息的图像运动模糊去除算法 [J]. 计算机应用研究, 2021, 38 (1): 278-281. (Dong Xingyu, Liu Chuanqi, Zhao Jiankang. Image motion deblur algorithm based on motion information [J]. Application Research of Computers, 2021, 38 (1): 278-281. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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