This article mainly improves the efficient sub-pixel convolutional neural network (ESPCN) algorithm in the field of deep learning. By adding residual network knowledge and adjusting original ESPCN structure, a dual network model is proposed for single frame image super-resolution reconstruction method. Experimental results show that this algorithm can effectively improve the accuracy of single-image super-resolution reconstruction and enrich the detailed information after reconstruction.
NI Cui, WANG Peng, ZHANG Guangyuan, LI Kefeng
. A Single Image Super-Resolution Method Based on the Dual Network Model[J]. Journal of Applied Sciences, 2021
, 39(2)
: 321
-329
.
DOI: 10.3969/j.issn.0255-8297.2021.02.014
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