Reconstruction of the Human Eye Point Spread Function by a Double-Pass Configuration and an Error-Reduction Iterative Algorithm

• Main Authors: Bo-jhih Shen, 沈柏志
• Other Authors: Szu-yu Chen
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/94839120303912775107

碩士 === 國立中央大學 === 光電科學與工程學系 === 101 === This study focused on the construction of a human-eye optical measurement system to measure the Point Spread Function (PSF) of human eyes. By using the data we can optimize the optical parameters of the human-eye model previously developed in the research group to match the performance of real human eyes. In order to retain the information integrity in the measured images, especially the effects of intraocular scattering and diffusion, Double-Pass (DP) and Asymmetric Double-Pass (ADP) configurations are adopted to measure the double-pass PSFs and calculate the Modulation Transfer Function (MTF) and Phase Transfer Function (PTF) of human eyes. Subsequently, the single-pass PSF of human eyes is reconstructed by an Error-Reduction (ER) iterative algorithm. There are two phases in this study: one is the experimental measurement and the other is the image reconstruction. The artificial-eye experiment served as the system calibration and protocol familiarization. The human-eye experiment provided us the MTF and PTF of human eyes. Then we reconstructed the PSF of real human eyes by introducing the MTF and PTF into the ER iterative algorithm. The image distribution and MTF of the human-eye PSF in our experimental results showed the same trend as the data in the literature, which verified the feasibility of this measurement system. By changing the wavelength and incident angle of the light source, the PSFs of human eyes under different conditions can be measured in the future to modify the human-eye model and enhance the model applicability.