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A Hybrid Structural Sparse Error Model For Image Deblocking

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IEEE ICASSP 2020 Virtual Conference May 2020

Inspired by the image nonlocal self-similarity (NSS) prior, structural sparse representation (SSR) models exploit each group as the basic unit for sparse representation, which have achieved promising results in various image restoration applications. Howe

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A Hybrid Structural Sparse Error Model For Image Deblocking

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Inspired by the image nonlocal self-similarity (NSS) prior, structural sparse representation (SSR) models exploit each group as the basic unit for sparse representation, which have achieved promising results in various image restoration applications. Howe