On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866908947283181568 |
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| author | Vaisman, Amit Pomerants, Gal Lapid, Raz |
| author_facet | Vaisman, Amit Pomerants, Gal Lapid, Raz |
| contents | Modern image compression methods are typically optimized for the rate--distortion--perception trade-off, whereas their robustness to bit-level corruption is rarely examined. We show that diffusion-based compressors built on the Reverse Channel Coding (RCC) paradigm are substantially more robust to bit flips than classical and learned codecs. We further introduce a more robust variant of Turbo-DDCM that significantly improves robustness while only minimally affecting the rate--distortion--perception trade-off. Our findings suggest that RCC-based compression can yield more resilient compressed representations, potentially reducing reliance on error-correcting codes in highly noisy environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_05743 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors Vaisman, Amit Pomerants, Gal Lapid, Raz Computer Vision and Pattern Recognition Artificial Intelligence Modern image compression methods are typically optimized for the rate--distortion--perception trade-off, whereas their robustness to bit-level corruption is rarely examined. We show that diffusion-based compressors built on the Reverse Channel Coding (RCC) paradigm are substantially more robust to bit flips than classical and learned codecs. We further introduce a more robust variant of Turbo-DDCM that significantly improves robustness while only minimally affecting the rate--distortion--perception trade-off. Our findings suggest that RCC-based compression can yield more resilient compressed representations, potentially reducing reliance on error-correcting codes in highly noisy environments. |
| title | On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence |
| url | https://arxiv.org/abs/2604.05743 |