Powerful Lossy Compression for Noisy Images

arXiv:2403.14135v1 Announce Type: cross
Abstract: Image compression and denoising represent fundamental challenges in image processing with many real-world applications. To address practical demands, current solutions can be categorized into two main strategies: 1) sequential method; and 2) joint method. However, sequential methods have the disadvantage of error accumulation as there is information loss between multiple individual models. Recently, the academic community began to make some attempts to tackle this problem through end-to-end joint methods. Most of them ignore that different …

abstract applications arxiv challenges compression cs.cv current denoising eess.iv error however image image processing images information loss practical processing solutions strategies type world