MuRNet: A deep recursive network for super resolution of bicubically interpolated images

Alireza Esmaeilzehi; M. Omair Ahmad; M.N.S. Swamy

doi:10.1016/j.image.2021.116228

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JOURNAL ARTICLE

MuRNet: A deep recursive network for super resolution of bicubically interpolated images

Alireza Esmaeilzehi M. Omair Ahmad M.N.S. Swamy

Year: 2021 Journal: Signal Processing Image Communication Vol: 94 Pages: 116228-116228 Publisher: Elsevier BV

DOI: 10.1016/j.image.2021.116228

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Keywords:

Bicubic interpolation Interpolation (computer graphics) Block (permutation group theory) Feature (linguistics) Computer science Image (mathematics) Artificial intelligence Set (abstract data type) Image resolution Superresolution Resolution (logic) Algorithm Computer vision Scheme (mathematics) Pattern recognition (psychology) Mathematics Linear interpolation

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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 and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

MuRNet: A deep recursive network for super resolution of bicubically interpolated images

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