Forward Error Correction applied to JPEG-XS codestreams
This addresses image quality degradation in low-latency applications like video streaming over unreliable networks, but it is incremental as it adapts existing FEC methods to JPEG-XS.
The paper tackled the problem of deploying JPEG-XS image compression on lossy packet networks by proposing an unequal error protection scheme using Forward Error Correction, which at 5% loss rates reduces Mean Squared Error by up to 92% compared to no protection and 65% compared to equal protection.
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. Despite 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 coefficients significance information, or to low/high frequency data, respectively. 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.