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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 12
3814-3819

Image super-resolution based on spatial feature transformation and back projection progressive reconstruction network

Qin Yua
Xie Chaoyua
Wang Xiaominga,b
Chen Ziliua
a. School of Computer & Software Engineer, b. Robotics Research Center, Xihua University, Chengdu 610039, China
DOI: 10.19734/j.issn.1001-3695.2021.03.0127

Abstract

The single-frame image super-resolution(SISR) method based on deep networks is currently a hotspot in SR research. However, most of these methods mainly focus on exploring the network depth structure during feature extraction, ignoring the similarity between the feature layers in the intermediate space, and neglect the feature differences between the feature layers during reconstruction. This paper proposed a progressive network based on spatial feature transformation and back-projection reconstruction to solve this problem. The main feature of this method was to perform feature affine transformation on the feature space when extracting image features to increase the different similarities between feature layers, so as to obtain progressive features and spatial transformation features. In the image reconstruction stage, the reconstruction module adopted the strategy of multi-scale back projection to integrate the multi-source features of the image, which made the module pay more attention to the difference between features. Finally, the experimental results show that compared with most super-resolution methods, the proposed method has greatly improved the evaluation indexes such as PSNR/SSIM during image super-resolution reconstruction, and the texture information of the reconstructed image is more abundant.

Foundation Support

西华大学研究生创新基金资助项目(ycjj2019095)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0127
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Technology of Graphic & Image
Pages: 3814-3819
Serial Number: 1001-3695(2021)12-053-3814-06

Publish History

[2021-12-05] Printed Article

Cite This Article

秦玉, 谢超宇, 王晓明, 等. 基于空间特征变换与反投影的渐进式图像超分辨 [J]. 计算机应用研究, 2021, 38 (12): 3814-3819. (Qin Yu, Xie Chaoyu, Wang Xiaoming, et al. Image super-resolution based on spatial feature transformation and back projection progressive reconstruction network [J]. Application Research of Computers, 2021, 38 (12): 3814-3819. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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