Detail-preserving image super-resolution via recursively dilated residual network

Feng Li; Huihui Bai; Yao Zhao

doi:10.1016/j.neucom.2019.05.042

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Detail-preserving image super-resolution via recursively dilated residual network

Feng Li Huihui Bai Yao Zhao

Year: 2019 Journal: Neurocomputing Vol: 358 Pages: 285-293 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2019.05.042

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Keywords:

Residual Computer science Convolutional neural network Benchmark (surveying) Artificial intelligence Memory footprint Image (mathematics) Pattern recognition (psychology) Image resolution Face (sociological concept) Exploit 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

Detail-preserving image super-resolution via recursively dilated residual network

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