Sparse representation based single image super-resolution with low-rank constraint and nonlocal self-similarity

Jinming Li

doi:10.1007/s11042-017-4399-1

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Sparse representation based single image super-resolution with low-rank constraint and nonlocal self-similarity

Jinming Li

Year: 2017 Journal: Multimedia Tools and Applications Vol: 77 (2)Pages: 1693-1714 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-017-4399-1

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Keywords:

Computer science Sparse approximation Similarity (geometry) Constraint (computer-aided design) Representation (politics) Image (mathematics) Neural coding Artificial intelligence Rank (graph theory) Pattern recognition (psychology) Self-similarity Coding (social sciences) Mathematics Statistics

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Sparse representation based single image super-resolution with low-rank constraint and nonlocal self-similarity

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