Enhanced two-phase residual network for single image super-resolution

Juan Yang; Wenjing Li; Ronggui Wang; Lixia Xue; Min Hu

doi:10.1016/j.jvcir.2019.04.002

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Enhanced two-phase residual network for single image super-resolution

Juan Yang Wenjing Li Ronggui Wang Lixia Xue Min Hu

Year: 2019 Journal: Journal of Visual Communication and Image Representation Vol: 61 Pages: 188-197 Publisher: Elsevier BV

DOI: 10.1016/j.jvcir.2019.04.002

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Keywords:

Residual Computer science Artificial intelligence Convolution (computer science) Computation Phase (matter) Artificial neural network Deep learning Image (mathematics) Image quality Pattern recognition (psychology) Texture (cosmology) Algorithm Convolutional neural network Computer vision Physics

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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 Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Enhanced two-phase residual network for single image super-resolution

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