Design of Pixel Compensation Algorithm for Video Image Based on Local Convolution

doi:10.13438/j.cnki.jdzk.2023.06.001

Abstract

Abstract: A video image pixel compensation method based on local convolution (local convolution compensation) is proposed to repair missing pixels in high-speed moving targets.The method introduces local convolution to segment the neural network model and reconstruct video image frames.It activates the source video image and its corresponding pixel space,applies linear mean compensation to fill the interpolated frame holes in the video image,and evaluates the matching degree of the video image to complete the pixel compensation.Comparative experimental results show that the average gradient of the local convolution compensation method is 11.239,significantly higher than the other three comparative methods,which indicates that the video image after compensation using the local convolution method has higher clarity.

Key words: local convolution, video image, compensation method, video frame, image block

ZHA Huaizhi. Design of Pixel Compensation Algorithm for Video Image Based on Local Convolution[J]. Journal of Jishou University(Natural Sciences Edition), 2023, 44(6): 1-8.

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