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Proceedings Paper

Bionic vision improves the performances of super resolution imaging
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Paper Abstract

A novel super resolution reconstruction method is proposed to improve super resolution image performances. The proposed method uses bionic vision sampling model to obtain low resolution images and performs super resolution reconstruction in logarithmic polar coordinates. We carry out comparative experiments between the proposed method and the traditional method in terms of Peak Signal to Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM) and Mean Squared Error (MSE). The results show that the performances of proposed method are better than that of the traditional method. Especially the SSIM of global image (butterfly), the proposed method is 34.45% higher than the traditional method.

Paper Details

Date Published: 7 March 2019
PDF: 6 pages
Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 110531J (7 March 2019); doi: 10.1117/12.2511338
Show Author Affiliations
Yuqing Xiao, Beijing Institute of Technology (China)
Jie Cao, Beijing Institute of Technology (China)
National Univ. of Singapore (Singapore)
Zihan Wang, Beijing Institute of Technology (China)
Qun Hao, Beijing Institute of Technology (China)
Haoyong Yu, Suzhou Industrial Park Laser Industry Innovation Association (China)
Qiang Luo, Xi'an Modern Control Technology Research Institute (China)


Published in SPIE Proceedings Vol. 11053:
Tenth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Jie Lin, Editor(s)

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