Abstract
Monochromatic aberrations can limit visual performance of the human eyes. Visual limitations caused by higher-order aberrations can not be corrected by traditional optical correction methods such as spectacles and contact lens. In this paper, we address the problem of correcting visual limitations based on an image deconvolution technique. First, we introduce Zernike polynomials to describe the wavefront aberration. Then, the point spread function (PSF) of the human eyes can be calculated by using the wavefront aberration function. Finally, we propose an image pre-compensation algorithm based on the knowledge of the PSF to improve a blurred image formed by the aberrated eyes. Experimental results are presented to demonstrate the potential visual improvement that can be achived by our pre-compensation algorithm.
