@inproceedings{79c92cc198434db69299ef7244894c58,
title = "Deep skip connection and multi-deconvolution network for single image super-resolution",
abstract = "In this paper, we propose an efficient single image super-resolution (SR) method for multi-scale image texture recovery, based on Deep Skip Connection and Multi-Deconvolution Network. Our proposed method focuses on enhancing the expression capability of the convolutional neural network, so as to significantly improve the accuracy of the reconstructed higher-resolution texture details in images. The use of deep skip connection (DSC) can make full use of low-level information with the rich deep features. The multi-deconvolution layers (MDL) introduced can decrease the feature dimension, so this can reduce the computation required, caused by deepening the number of layers. All these features can reconstruct high-quality SR images. Experiment results show that our proposed method achieves state-of-the-art performance.",
keywords = "Convolutional neural network, Deep skip connection, Multi-deconvolution layers, Peak signal-to-noise ratio, Super-resolution",
author = "Shiyu Hu and Muwei Jian and Guodong Wang and Yanjie Wang and Zhenkuan Pan and Lam, {Kin Man}",
year = "2020",
month = jan,
doi = "10.1117/12.2567030",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Lau, {Phooi Yee} and Mohammad Shobri",
booktitle = "International Workshop on Advanced Imaging Technology, IWAIT 2020",
address = "United States",
note = "International Workshop on Advanced Imaging Technology, IWAIT 2020 ; Conference date: 05-01-2020 Through 07-01-2020",
}