Adaptive deep residual network for single image super-resolution
Abstract In recent years, deep learning has achieved great success in the field of image processing. In the single image super-resolution (SISR) task, the convolutional neural network (CNN) extracts the features of the image through deeper layers, and has achieved impressive results. In this paper,...
Main Authors: | Shuai Liu, Ruipeng Gang, Chenghua Li, Ruixia Song |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-01-01
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Series: | Computational Visual Media |
Subjects: | |
Online Access: | https://doi.org/10.1007/s41095-019-0158-8 |
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