Image quality eigenfunctions for the human eye
Resumen: This work presents a compact statistical model of the retinal image quality in a large population of human eyes following two objectives. The first was to develop a general modal representation of the optical transfer function (OTF) in terms of orthogonal functions and construct a basis composed of cross-correlations between pairs of complex Zernike polynomials. That basis was not orthogonal and highly redundant, requiring the application of singular value decomposition (SVD) to obtain an orthogonal basis with a significantly lower dimensionality. The first mode is the OTF of the perfect system, and hence the modal representation, is highly compact for well-corrected optical systems, and vice-versa. The second objective is to apply this modal representation to the OTFs of a large population of human eyes for a pupil diameter of 5 mm. This permits an initial strong data compression. Next, principal component analysis (PCA) is applied to obtain further data compression, leading to a compact statistical model of the initial population. In this model each OTF is approximated by the sum of the population mean plus a linear combination of orthogonal eigenfunctions (eigen-OTF) accounting for a selected percentage (90%) of the population variance. This type of models can be useful for Monte Carlo simulations among other applications
Idioma: Inglés
DOI: 10.1364/BOE.10.005818
Año: 2019
Publicado en: Biomedical Optics Express 10, 11 (2019), 5818-5831
ISSN: 2156-7085

Factor impacto JCR: 3.921 (2019)
Categ. JCR: BIOCHEMICAL RESEARCH METHODS rank: 15 / 77 = 0.195 (2019) - Q1 - T1
Categ. JCR: RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING rank: 24 / 133 = 0.18 (2019) - Q1 - T1
Categ. JCR: OPTICS rank: 17 / 97 = 0.175 (2019) - Q1 - T1

Factor impacto SCIMAGO: 1.591 - Biotechnology (Q1) - Atomic and Molecular Physics, and Optics (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-095795-B-I00
Tipo y forma: Article (Published version)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


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