Bionic vision improves the performances of super resolution imaging

Yuqing Xiao; Jie Cao; Zihan Wang; Qun Hao; Haoyong Yu; Qiang Luo

doi:10.1117/12.2511338

7 March 2019 Bionic vision improves the performances of super resolution imaging

Yuqing Xiao, Jie Cao, Zihan Wang, Qun Hao, Haoyong Yu, Qiang Luo

Proceedings Volume 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation; 110531J (2019) https://doi.org/10.1117/12.2511338
Event: 10th International Symposium on Precision Engineering Measurements and Instrumentation (ISPEMI 2018), 2018, Kunming, China

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.

Citation Download Citation

Yuqing Xiao, Jie Cao, Zihan Wang, Qun Hao, Haoyong Yu, and Qiang Luo "Bionic vision improves the performances of super resolution imaging", Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 110531J (7 March 2019); https://doi.org/10.1117/12.2511338

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