Web: http://arxiv.org/abs/2112.09254

May 9, 2022, 1:10 a.m. | Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, Denis Kouamé

cs.CV updates on arXiv.org arxiv.org

Sparse representation of real-life images is a very effective approach in
imaging applications, such as denoising. In recent years, with the growth of
computing power, data-driven strategies exploiting the redundancy within
patches extracted from one or several images to increase sparsity have become
more prominent. This paper presents a novel image denoising algorithm
exploiting such an image-dependent basis inspired by the quantum many-body
theory. Based on patch analysis, the similarity measures in a local image
neighborhood are formalized through a …

algorithm arxiv denoising image quantum theory

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