Multi-frame image super-resolution reconstruction via low-rank fusion combined with sparse coding

Xuan Zhu; Peng Jin; XianXian Wang; Na Ai

doi:10.1007/s11042-018-6495-2

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Multi-frame image super-resolution reconstruction via low-rank fusion combined with sparse coding

Xuan Zhu Peng Jin XianXian Wang Na Ai

Year: 2018 Journal: Multimedia Tools and Applications Vol: 78 (6)Pages: 7143-7154 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-018-6495-2

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Keywords:

Computer science Artificial intelligence Neural coding Coding (social sciences) Computer vision Sparse approximation Robustness (evolution) Superresolution Low resolution Frame (networking) Image fusion Fusion Pattern recognition (psychology) Image (mathematics) High resolution Mathematics

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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

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-frame image super-resolution reconstruction via low-rank fusion combined with sparse coding

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