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This work presents an innovative approach to simulating image formation in the human eye by developing a bionic eye model. Commercial software is employed to create an accurate model of the human eye for simulating eye images. Accordingly, A physical bionic human eye model is crafted to explore the imaging properties of eye images and validate the image quality of the eye model, with a liquid lens embedded as the crystalline lens for accommodating the eye at different object distances. To comprehensively assess the performance of the bionic eye model, digital holography is utilized to measure and analyze the wavefronts of the eye model to understand the aberrations of the bionic human eye and their impact on image quality. This study provides a thorough evaluation of the performance of the proposed eye model to enhance the accuracy of bionic eye imaging.
Ssu-Chia He,Ching-Yao Huang,Han-Yen Tu, andChau-Jern Cheng
"Image analysis of a bionic human eye with digital holography", Proc. SPIE PC13149, Unconventional Imaging, Sensing, and Adaptive Optics 2024, PC1314903 (4 October 2024); https://doi.org/10.1117/12.3027581
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Ssu-Chia He, Ching-Yao Huang, Han-Yen Tu, Chau-Jern Cheng, "Image analysis of a bionic human eye with digital holography," Proc. SPIE PC13149, Unconventional Imaging, Sensing, and Adaptive Optics 2024, PC1314903 (4 October 2024); https://doi.org/10.1117/12.3027581