Content-guided deep residual network for single image super-resolution

Liangliang Chen; Qiqi Kou; Deqiang Cheng; Jie Yao

doi:10.1016/j.ijleo.2019.163678

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Content-guided deep residual network for single image super-resolution

Liangliang Chen Qiqi Kou Deqiang Cheng Jie Yao

Year: 2019 Journal: Optik Vol: 202 Pages: 163678-163678 Publisher: Elsevier BV

DOI: 10.1016/j.ijleo.2019.163678

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Keywords:

Residual Computer science Convolution (computer science) Block (permutation group theory) Artificial intelligence Convergence (economics) Image (mathematics) Curvature Function (biology) Pattern recognition (psychology) Algorithm Computer vision Artificial neural network 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 Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Content-guided deep residual network for single image super-resolution

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