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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.08794 |
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| _version_ | 1866911102443454464 |
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| author | Pang, Yingxue Zhao, Shijie Guo, Mengxi Li, Junlin Zhang, Li |
| author_facet | Pang, Yingxue Zhao, Shijie Guo, Mengxi Li, Junlin Zhang, Li |
| contents | Sharpening is a widely adopted video enhancement technique. However, uniform sharpening intensity ignores texture variations, degrading video quality. Sharpening also increases bitrate, and there's a lack of techniques to optimally allocate these additional bits across diverse regions. Thus, this paper proposes RPO-AdaSharp, an end-to-end region-adaptive video sharpening model for both perceptual enhancement and bitrate savings. We use the coding tree unit (CTU) partition mask as prior information to guide and constrain the allocation of increased bits. Experiments on benchmarks demonstrate the effectiveness of the proposed model qualitatively and quantitatively. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_08794 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Region-Adaptive Video Sharpening via Rate-Perception Optimization Pang, Yingxue Zhao, Shijie Guo, Mengxi Li, Junlin Zhang, Li Computer Vision and Pattern Recognition Sharpening is a widely adopted video enhancement technique. However, uniform sharpening intensity ignores texture variations, degrading video quality. Sharpening also increases bitrate, and there's a lack of techniques to optimally allocate these additional bits across diverse regions. Thus, this paper proposes RPO-AdaSharp, an end-to-end region-adaptive video sharpening model for both perceptual enhancement and bitrate savings. We use the coding tree unit (CTU) partition mask as prior information to guide and constrain the allocation of increased bits. Experiments on benchmarks demonstrate the effectiveness of the proposed model qualitatively and quantitatively. |
| title | Region-Adaptive Video Sharpening via Rate-Perception Optimization |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2508.08794 |