{"ID":2844815,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.05009","arxiv_id":"2511.05009","title":"UHDRes: Ultra-High-Definition Image Restoration via Dual-Domain Decoupled Spectral Modulation","abstract":"Ultra-high-definition (UHD) images often suffer from severe degradations such as blur, haze, rain, or low-light conditions, which pose significant challenges for image restoration due to their high resolution and computational demands. In this paper, we propose UHDRes, a novel lightweight dual-domain decoupled spectral modulation framework for UHD image restoration. It explicitly models the amplitude spectrum via lightweight spectrum-domain modulation, while restoring phase implicitly through spatial-domain refinement. We introduce the spatio-spectral fusion mechanism, which first employs a multi-scale context aggregator to extract local and global spatial features, and then performs spectral modulation in a decoupled manner. It explicitly enhances amplitude features in the frequency domain while implicitly restoring phase information through spatial refinement. Additionally, a shared gated feed-forward network is designed to efficiently promote feature interaction through shared-parameter convolutions and adaptive gating mechanisms. Extensive experimental comparisons on five public UHD benchmarks demonstrate that our UHDRes achieves the state-of-the-art restoration performance with only 400K parameters, while significantly reducing inference latency and memory usage. The codes and models are available at https://github.com/Zhao0100/UHDRes.","short_abstract":"Ultra-high-definition (UHD) images often suffer from severe degradations such as blur, haze, rain, or low-light conditions, which pose significant challenges for image restoration due to their high resolution and computational demands. In this paper, we propose UHDRes, a novel lightweight dual-domain decoupled spectral...","url_abs":"https://arxiv.org/abs/2511.05009","url_pdf":"https://arxiv.org/pdf/2511.05009v1","authors":"[\"S. Zhao\",\"W. Lu\",\"B. Wang\",\"T. Wang\",\"K. Zhang\",\"H. Zhao\"]","published":"2025-11-07T06:28:30Z","proceeding":"eess.IV","tasks":"[\"eess.IV\",\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":607325,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2844815,"paper_url":"https://arxiv.org/abs/2511.05009","paper_title":"UHDRes: Ultra-High-Definition Image Restoration via Dual-Domain Decoupled Spectral Modulation","repo_url":"https://github.com/Zhao0100/UHDRes","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}