Residual network with detail perception loss for single image super-resolution

Zhijie Wen; Jiawei Guan; Tieyong Zeng; Ying Li

doi:10.1016/j.cviu.2020.103007

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Residual network with detail perception loss for single image super-resolution

Zhijie Wen Jiawei Guan Tieyong Zeng Ying Li

Year: 2020 Journal: Computer Vision and Image Understanding Vol: 199 Pages: 103007-103007 Publisher: Elsevier BV

DOI: 10.1016/j.cviu.2020.103007

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Keywords:

Artificial intelligence Upsampling Computer science Ground truth Residual Convolutional neural network Image (mathematics) Pattern recognition (psychology) Benchmark (surveying) Wavelet Pixel Feature (linguistics) Computer vision Convolution (computer science) Image resolution Artificial neural network Algorithm

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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

Residual network with detail perception loss for single image super-resolution

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