PromptCIR: Blind Compressed Image Restoration with Prompt Learning

arXiv:2404.17433v1 Announce Type: new
Abstract: Blind Compressed Image Restoration (CIR) has garnered significant attention due to its practical applications. It aims to mitigate compression artifacts caused by unknown quality factors, particularly with JPEG codecs. Existing works on blind CIR often seek assistance from a quality factor prediction network to facilitate their network to restore compressed images. However, the predicted numerical quality factor lacks spatial information, preventing network adaptability toward image contents. Recent studies in prompt-learning-based image restoration have showcased the …

arxiv blind cs.cv image image restoration prompt prompt learning restoration type