Pérez Rodríguez, Jorge, Espinosa, Julián, Vázquez Ferri, Carmen, Mas, David
Retinal image quality assessment through a visual similarity index
PÉREZ, Jorge, et al. “Retinal image quality assessment through a visual similarity index”. Journal of Modern Optics. First published on: 7 May 2013. ISSN 0950-0340
URI: http://hdl.handle.net/10045/28256
DOI: 10.1080/09500340.2013.794394
ISSN: 0950-0340 (Print)
Abstract: 
Retinal image quality is commonly analyzed through parameters inherited from instrumental optics. These parameters are defined for ‘good optics’ so they are hard to translate into visual quality metrics. Instead of using point or artificial functions, we propose a quality index that takes into account properties of natural images. These images usually show strong local correlations that help to interpret the image. Our aim is to derive an objective index that quantifies the quality of vision by taking into account the local structure of the scene, instead of focusing on a particular aberration. As we show, this index highly correlates with visual acuity and allows inter-comparison of natural images around the retina. The usefulness of the index is proven through the analysis of real eyes before and after undergoing corneal surgery, which usually are hard to analyze with standard metrics.
Keywords:Vision model, Retinal image quality, Structural similarity index
Taylor & Francis
info:eu-repo/semantics/article