Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers

Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers

In this paper, we present an efficient method for single image super-resolution based on the dense network. First, considering that the dense architectures reuse all the previous features in each layer and cause a huge memory overhead, we simplify the dense architecture and only reuse the hierarchic...

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Bibliographic Details
Main Authors: Zhimin Tang, Shaohui Li, Linkai Luo, Min Fu, Hong Peng, Qifeng Zhou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep learning
image restoration
image super-resolution
Online Access:https://ieeexplore.ieee.org/document/8640820/

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