Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration

Constructing effective priors is critical to solving ill-posed inverse problems in image processing and computational imaging. Recent works focused on exploiting non-local similarity by grouping similar patches for image modeling, and demonstrated state-of-the-art results in many image restoration a...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 22., Seite 1311-1324
Auteur principal: Guo, Lanqing (Auteur)
Autres auteurs: Zha, Zhiyuan, Ravishankar, Saiprasad, Wen, Bihan
Format: Article en ligne
Langue:English
Publié: 2022
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article