Next Article in Journal
Transmission Capacity Characterization in VANETs with Enhanced Distributed Channel Access
Previous Article in Journal
Mobile-Oriented Future Internet: Implementation and Experimentations over EU–Korea Testbed
Open AccessArticle

An Efficient Super-Resolution Network Based on Aggregated Residual Transformations

1
Key Laboratory of Electronic Equipment Structure Design, Ministry of Education, Xidian University, Xi’an 710071, China
2
School of Aerospace Science and Technology, Xidian University, Xi’an 710071, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(3), 339; https://doi.org/10.3390/electronics8030339
Received: 30 January 2019 / Revised: 13 March 2019 / Accepted: 16 March 2019 / Published: 20 March 2019
(This article belongs to the Section Artificial Intelligence)
In this paper, we propose an efficient multibranch residual network for single image super-resolution. Based on the idea of aggregated transformations, the split-transform-merge strategy is exploited to implement the multibranch architecture in an easy, extensible way. By this means, both the number of parameters and the time complexity are significantly reduced. In addition, to ensure the high-performance of super-resolution reconstruction, the residual block is modified and simplified with reference to the enhanced deep super-resolution network (EDSR) model. Moreover, our developed method possesses advantages of flexibility and extendibility, which are helpful to establish a specific network according to practical demands. Experimental results on both the Diverse 2K (DIV2K) and other standard datasets show that the proposed method can achieve a good performance in comparison with EDSR under the same number of convolution layers. View Full-Text
Keywords: super-resolution; residual network; aggregated transformations super-resolution; residual network; aggregated transformations
Show Figures

Figure 1

MDPI and ACS Style

Liu, Y.; Zhang, G.; Wang, H.; Zhao, W.; Zhang, M.; Qin, H. An Efficient Super-Resolution Network Based on Aggregated Residual Transformations. Electronics 2019, 8, 339.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop