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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 1
299-303

Video defect detection and repair method based on optical flow

Huang Fujie
Luo Bin
School of Information Science & Technology, Southwest Jiaotong University, Chengdu 611756, China
DOI: 10.19734/j.issn.1001-3695.2022.04.0211

Abstract

In order to repair scratches and spots in video, this paper proposed a video defect detection and repair method based on optical flow field. Firstly, it obtained the positional relationship between the corresponding pixels of adjacent frames according to the optical flow field, and used the intensity difference of the corresponding points to determine whether the pixel position was a defect point. Then, it corrected the optical flow of the defect area and filled the corresponding defect points with the repair pixels in the adjacent frames pointed by the corrected optical flow. Finally, for the repaired video frame, it recalculated the optical flow field and repeated the above repair steps until the frame satisfy the convergence condition of iterative repair. For different scenes in the DAVIS dataset, after simulating the defects that account for about 1% of the total number of pixels in a single frame, this paper conducted a detection and repair experiment, and gave the curve between the recall rate and the false recognition rate. When the false recognition rate is 0.1%, the recall rate can reach more than 80%. The SSIM is greater than 0.991 and the LPIPS is less than 0.037. Experiments on old videos show that scratches and spots can be effectively removed.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0211
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: Technology of Graphic & Image
Pages: 299-303
Serial Number: 1001-3695(2023)01-050-0299-05

Publish History

[2022-07-08] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

黄福杰, 罗斌. 基于光流的视频缺陷检测及修复方法 [J]. 计算机应用研究, 2023, 40 (1): 299-303. (Huang Fujie, Luo Bin. Video defect detection and repair method based on optical flow [J]. Application Research of Computers, 2023, 40 (1): 299-303. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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