| Title | Forward Error Correction Applied to JPEG-XS Codestreams |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Legrand, Antoine, Macq, Benoît, De Vleeschouwer, Christophe |
| Conference Name | 2022 IEEE International Conference on Image Processing (ICIP) |
| Keywords | composability, forward error correction, Image coding, Image quality, JPEG-XS, Metrics, Propagation losses, pubcrawl, Rate-distortion, Redundancy, Reed-Solomon codes, resilience, Resiliency, Unequal Error Protection |
| Abstract | JPEG-XS offers low complexity image compression for applications with constrained but reasonable bit-rate, and low latency. Our paper explores the deployment of JPEG-XS on lossy packet networks. To preserve low latency, Forward Error Correction (FEC) is envisioned as the protection mechanism of interest. Although the JPEG-XS codestream is not scalable in essence, we observe that the loss of a codestream fraction impacts the decoded image quality differently, depending on whether this codestream fraction corresponds to codestream headers, to coefficient significance information, or to low/high frequency data. Hence, we propose a rate-distortion optimal unequal error protection scheme that adapts the redundancy level of Reed-Solomon codes according to the rate of channel losses and the type of information protected by the code. Our experiments demonstrate that, at 5% loss rates, it reduces the Mean Squared Error by up to 92% and 65%, compared to a transmission without and with optimal but equal protection, respectively. |
| DOI | 10.1109/ICIP46576.2022.9897287 |
| Citation Key | legrand_forward_2022 |
Forward Error Correction Applied to JPEG-XS Codestreams