Abstract

High-end lenses are usually composed of many optical elements to compensate various optical aberrations, e.g. geometric distortion, monochromatic and chromatic aberrations. The resulting complexity and machining accuracy requirements make high-end lenses too expensive, heavy, and fragile for day-to-day photography. To address this problem, we devised an optical computing approach to touch-up the low quality photos produced by simpler lenses. We propose a setup consisting of an easily accessible display and the original camera in order to perform optical aberration correction with a deconvolution framework. The equivalence of the degeneration model and the lens's optical computing turns the traditional blind deconvolution algorithm into its non-blind counterpart and promises robust performance. A prototype system is implemented to verify the feasibility of the proposed method, and a series of experiments on both synthetic and captured images are applied to demonstrate effectiveness and performance.

Results

Bibtex

@article{yue2014optical_computing,    
title={Image quality enhancement using original lens via optical computing},    
author={Yue, Tao and Suo, Jinli and Xiao, Yudong and Zhang, Lei and Dai, Qionghai},    
journal={Optics express},
volume={22},
number={24},
pages={29515--29530},
year={2014},
publisher={Optical Society of America}
}

Publications

• Tao Yue, Jinli Suo, Yudong Xiao, Lei Zhang, and Qionghai Dai. Image quality enhancement using original lens via optical computing. Opt. Express, 22(24):29515-29530, Dec 2014.