Xi'an Institute of Optics and Precision Mechanics,CAS
| Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition | |
| Chen, Genggeng1; Dai, Kexin2; Yang, Kangzhen2; Hu, Tao1,2; Chen, Xiangyu3; Yang, Yongqing4; Dong, Wei1; Wu, Peng2; Zhang, Yanning2; Yan, Qingsen2 | |
| 作者部门 | 空天技术处 |
| 2024-04-21 | |
| 出处 | arXiv |
| ISSN | 23318422 |
| 产权排序 | 4 |
| 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. Copyright © 2024, The Authors. All rights reserved. |
| 收录类别 | EI |
| 语种 | 英语 |
| 出版者 | arXiv |
| EI入藏号 | 20240181606 |
| 文献类型 | 预印本 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/97473 |
| 专题 | 空天技术处 |
| 作者单位 | 1.Xi'an University of Architecture and Technology, China; 2.Northwestern Polytechnical University, China; 3.University of Macau, China; 4.Xi'an Institute of Optics and Precision Mechanics of CAS, China |
| 推荐引用方式 GB/T 7714 | Chen, Genggeng,Dai, Kexin,Yang, Kangzhen,et al. Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition. 2024. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Bracketing Image Res（5081KB） | 预印本 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 | ||
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