Joint restoration convolutional neural network for low-quality image super resolution

Gadipudi Amaranageswarao; S. Deivalakshmi; Seok‐Bum Ko

doi:10.1007/s00371-020-01998-z

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Joint restoration convolutional neural network for low-quality image super resolution

Gadipudi Amaranageswarao S. Deivalakshmi Seok‐Bum Ko

Year: 2020 Journal: The Visual Computer Vol: 38 (1)Pages: 31-50 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-020-01998-z

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Keywords:

Computer science Compression artifact Convolutional neural network Artificial intelligence Ringing artifacts Residual Benchmark (surveying) Concatenation (mathematics) Image (mathematics) Block (permutation group theory) Image restoration Image quality Feature (linguistics) Image compression Pattern recognition (psychology) Interpolation (computer graphics) Computer vision Image processing Algorithm Mathematics

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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

Joint restoration convolutional neural network for low-quality image super resolution

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