{"ID":2881865,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.11331","arxiv_id":"2508.11331","title":"Guiding WaveMamba with Frequency Maps for Image Debanding","abstract":"Compression at low bitrates in modern codecs often introduces banding artifacts, especially in smooth regions such as skies. These artifacts degrade visual quality and are common in user-generated content due to repeated transcoding. We propose a banding restoration method that employs the Wavelet State Space Model and a frequency masking map to preserve high-frequency details. Furthermore, we provide a benchmark of open-source banding restoration methods and evaluate their performance on two public banding image datasets. Experimentation on the available datasets suggests that the proposed post-processing approach effectively suppresses banding compared to the state-of-the-art method (a DBI value of 0.082 on BAND-2k) while preserving image textures. Visual inspections of the results confirm this. Code and supplementary material are available at: https://github.com/xinyiW915/Debanding-PCS2025.","short_abstract":"Compression at low bitrates in modern codecs often introduces banding artifacts, especially in smooth regions such as skies. These artifacts degrade visual quality and are common in user-generated content due to repeated transcoding. We propose a banding restoration method that employs the Wavelet State Space Model and...","url_abs":"https://arxiv.org/abs/2508.11331","url_pdf":"https://arxiv.org/pdf/2508.11331v2","authors":"[\"Xinyi Wang\",\"Smaranda Tasmoc\",\"Nantheera Anantrasirichai\",\"Angeliki Katsenou\"]","published":"2025-08-15T09:03:40Z","proceeding":"eess.IV","tasks":"[\"eess.IV\",\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":610841,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2881865,"paper_url":"https://arxiv.org/abs/2508.11331","paper_title":"Guiding WaveMamba with Frequency Maps for Image Debanding","repo_url":"https://github.com/xinyiW915/Debanding-PCS2025","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}