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Retinal image quality for virtual eyes generated by a statistical model of ocular wavefront aberrations
Author(s) -
Thibos Larry N.
Publication year - 2009
Publication title -
ophthalmic and physiological optics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.147
H-Index - 66
eISSN - 1475-1313
pISSN - 0275-5408
DOI - 10.1111/j.1475-1313.2009.00662.x
Subject(s) - zernike polynomials , wavefront , monochromatic color , image quality , human eye , adaptive optics , computer science , optics , retinal , optical aberration , gaussian , wavefront sensor , image (mathematics) , artificial intelligence , optometry , ophthalmology , computer vision , physics , medicine , quantum mechanics
A statistical model of the aberration structure of normal, well‐corrected eyes was developed previously ( Opthal. Physiol. Opt 22 , 427–433, 2002.) from wavefront aberrations measured for 100 normal eyes ( J. Opt. Soc. Am. A. 19 , 2329–2348, 2002.). The model is capable of generating an unlimited number of wavefront aberration functions for virtual eyes drawn randomly from a multivariate Gaussian distribution of Zernike aberration coefficients. This report provides evidence that monochromatic retinal image quality in virtual eyes, as quantified by 31 different image quality metrics ( J. Vis. 4 , 329–351, 2004.), is representative of human eyes but slightly exaggerates the degradation of the retinal image caused by ocular aberrations. A demonstration program for producing virtual eyes is included as an Appendix to this paper.