Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition

Genggeng Chen, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yongqing Yang, Wei Dong, Peng Wu, Yanning Zhang, Qingsen Yan

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

In real-world scenarios, due to a series of image degradations, obtaining high-quality, clear content photos is challenging. While significant progress has been made in synthesizing high-quality images, previous methods for image restoration and enhancement often overlooked the characteristics of different degradations. They applied the same structure to address various types of degradation, resulting in less-than-ideal restoration outcomes. Inspired by the notion that high/low frequency information is applicable to different degradations, we introduce HLNet, a Bracketing Image Restoration and Enhancement method based on high-low frequency decomposition. Specifically, we employ two modules for feature extraction: shared weight modules and non-shared weight modules. In the shared weight modules, we use SCConv to extract common features from different degradations. In the non-shared weight modules, we introduce the High-Low Frequency Decomposition Block (HLFDB), which employs different methods to handle high-low frequency information, enabling the model to address different degradations more effectively. Compared to other networks, our method takes into account the characteristics of different degradations, thus achieving higher-quality image restoration.

源语言英语
主期刊名Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024
出版商IEEE Computer Society
6097-6107
页数11
ISBN(电子版)9798350365474
DOI
出版状态已出版 - 2024
活动2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 - Seattle, 美国
期限: 16 6月 202422 6月 2024

出版系列

姓名IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN(印刷版)2160-7508
ISSN(电子版)2160-7516

会议

会议2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024
国家/地区美国
Seattle
时期16/06/2422/06/24

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