Image super-resolution based on dense convolutional auto-encoder blocks

Yuan Zhou; Yeda Zhang; Xukai Xie; Sun‐Yuan Kung

doi:10.1016/j.neucom.2020.09.049

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Image super-resolution based on dense convolutional auto-encoder blocks

Yuan Zhou Yeda Zhang Xukai Xie Sun‐Yuan Kung

Year: 2020 Journal: Neurocomputing Vol: 423 Pages: 98-109 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2020.09.049

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Keywords:

Computer science Block (permutation group theory) Convolutional neural network Encoder Artificial intelligence Feature (linguistics) Pattern recognition (psychology) Encoding (memory) Reuse Decoding methods Autoencoder Scale (ratio) Image resolution Image (mathematics) Exploit Deep learning 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 Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Image super-resolution based on dense convolutional auto-encoder blocks

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