잡음 제거 기술 기반의 비디오 인페인팅 성능 연구

A Study on the Video Inpainting Performance using Denoising Technique

초록

In this paper, we study the effect of noise on video inpainting, a technique that fills missing regions of video. Since the video may contain noise, the quality of the video may be affected when applying the video inpainting technique. Therefore, in this paper, we compare the inpainting performance in video with and without denoising techniqueDAVIS dataset. For that, we conducted two experiments: 1) applying inpainting technique after denoising the noisy video and 2) applying the inpainting technique to the video and denoising the video. Through the experiment, we observe the effect of denoising technique on the quality of video inpainting and conclude that video inpainting after denoising would improve the quality of the video subjectively and objectively.

키워드

Deep learning; Noise reduction; Video denoising; Video inpainting
제목
잡음 제거 기술 기반의 비디오 인페인팅 성능 연구
제목 (타언어)
A Study on the Video Inpainting Performance using Denoising Technique
저자
서정윤; 백한결; 박상효
DOI
10.14372/IEMEK.2022.17.6.329
발행일
2022-12
유형
Y
저널명
대한임베디드공학회논문지
권
17
호
6
페이지
329 ~ 335