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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 5
1549-1554,1559

Light field super-resolution using global and local multi-views

Deng Wu
Zhang Xudong
Xiong Wei
Wang Yizhi
School of Computer & Information, Hefei University of Technology, Hefei 230601, China
DOI: 10.19734/j.issn.1001-3695.2017.12.0835

Abstract

The spatial and angular resolution are comparatively low owing to the limitation of the resolution of its pixel sensor which is due to design reasons. To address the above problem, this paper presented a new super-resolution method based on global and local views to simultaneously enhance both the spatial and angular resolutions of a light field image. First of all, it adaptively chose local views according to the position of the novel view, and then used spatial super-resolution convolution neural network to get high resolution sub-images such as global-view and local-view images, subsequently it extracted and fused the depth and color features from the image obtained by backward warping the input views. Then it put the results into the angular super-resolution network which produced a novel view image as the final result. The experimental results demonstrate that the reconstruction effect of this method is superior to the state-of-the-art's. And in peak signal to noise ratio get 3 dB promotion and structural similarity image measure upgrade about 0.02. In addition, it is not only able to improve spatial and angular resolution of multi-view images, but also to maintain edge information of the novel view, thus effectively avoiding the loss of objects and yielding a better reconstruction effect.

Foundation Support

国家自然科学基金资助项目(61403116)
中国博士后基金资助项目(2014M560507)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0835
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Technology of Graphic & Image
Pages: 1549-1554,1559
Serial Number: 1001-3695(2019)05-056-1549-06

Publish History

[2019-05-05] Printed Article

Cite This Article

邓武, 张旭东, 熊伟, 等. 融合全局与局部视角的光场超分辨率重建 [J]. 计算机应用研究, 2019, 36 (5): 1549-1554,1559. (Deng Wu, Zhang Xudong, Xiong Wei, et al. Light field super-resolution using global and local multi-views [J]. Application Research of Computers, 2019, 36 (5): 1549-1554,1559. )

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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