@inproceedings{716f8df9fab24d49aab6853afb075c69,
title = "Bionic vision improves the performances of super resolution imaging",
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.",
keywords = "PSNR, SSIM, bionic vision, super resolution",
author = "Yuqing Xiao and Jie Cao and Zihan Wang and Qun Hao and Haoyong Yu and Qiang Luo",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; 10th International Symposium on Precision Engineering Measurements and Instrumentation, ISPEMI 2018 ; Conference date: 08-08-2018 Through 10-08-2018",
year = "2019",
doi = "10.1117/12.2511338",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jie Lin and Jiubin Tan",
booktitle = "Tenth International Symposium on Precision Engineering Measurements and Instrumentation",
address = "United States",
}