On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors
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 environme...
| Authors | Amit Vaisman, Gal Pomerants, Raz Lapid |
|---|---|
| Primary category | cs.CV |
| Published | 7 April 2026 |
| Last updated at source | 8 April 2026 |
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