JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
A Windowed-Total-Variation Regularization Constraint Model for Blind Image Restoration |
| 영문제목(English Title) |
A Windowed-Total-Variation Regularization Constraint Model for Blind Image Restoration |
| 저자(Author) |
Ganghua Liu
Wei Tian
Yushun Luo
Juncheng Zou
Shu Tang
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| 원문수록처(Citation) |
VOL 18 NO. 01 PP. 0048 ~ 0058 (2022. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Blind restoration for motion-blurred images is always the research hotspot, and the key for the blind restoration is the accurate blur kernel (BK) estimation. Therefore, to achieve high-quality blind image restoration, this thesis presents a novel windowed-total-variation method. The proposed method is based on the spatial scale of edges but not amplitude, and the proposed method thus can extract useful image edges for accurate BK estimation, and then recover high-quality clear images. A large number of experiments prove the superiority.
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| 키워드(Keyword) |
Edge Amplitude
Image restoration
Kernel
Spatial Scale
Windowed-Total-Variation
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| 파일첨부 |
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