We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
基于光流的视频缺陷检测及修复方法.
- Authors
黄福杰; 罗斌
- 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 accor-ding 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.
- Subjects
OPTICAL flow; POINT defects; PIXELS; COMPUTER vision; VIDEOS; CURVES
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2023, Vol 40, Issue 1, p299
- ISSN
1001-3695
- Publication type
Article
- DOI
10.19734/j.issn.1001-3695.2022.04.0211