title: Predicting perceived image quality: a critique of Lin and Kuo (2011).
abstract: A recent study by Lin and Kuo reported on the image quality of a small mobile display under different ambient illumination levels. In this commentary, the present author discusses the limitations of their approach with respect to the rigorous quantification of image quality and the caveats associated with preference studies of new display technologies. Quantitatively predicting image quality using preference-based methods can be useful for initial decisions in early phases of product development, but provides limited value for the rigorous quantification of image quality of display devices.
authors.affiliation: Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, FDA, Silver Spring, Maryland 20993, USA. aldo.badano@fda.hhs.gov
authors.forename: Aldo
authors.initials: A
authors.lastname: Badano
mesh_terms: D040421:Cell Phone; D003118:Color Perception; D005260:Female; D006801:Humans; D008029:Lighting; D008297:Male; D010364:Pattern Recognition, Visual; D014584:User-Computer Interface