Multi-frame image super resolution based on sparse coding

Toshiyuki Kato; Hideitsu Hino; Noboru Murata

doi:10.1016/j.neunet.2015.02.009

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Multi-frame image super resolution based on sparse coding

Toshiyuki Kato Hideitsu Hino Noboru Murata

Year: 2015 Journal: Neural Networks Vol: 66 Pages: 64-78 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2015.02.009

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Keywords:

Artificial intelligence Sub-pixel resolution Block (permutation group theory) Computer science Resolution (logic) Neural coding Pattern recognition (psychology) Computer vision Matching (statistics) Image resolution Image (mathematics) Sparse approximation Coding (social sciences) Pixel Mathematics Image processing Digital image processing Statistics

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Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Multi-frame image super resolution based on sparse coding

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