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DOI 10.1167/iovs.63.1.3

Медицинская библиотека · Investigative ophthalmology & visual science · 2022

Blur Representation in the Amblyopic Visual System Using Natural and Synthetic Images.

Abbas Farishta Reza, Yang Charlene L, Farivar Reza

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

PURPOSE: Amblyopia is diagnosed as a reduced acuity in an otherwise healthy eye, which indicates that the deficit is not happening in the eye, but in the brain. One suspected mechanism explaining these deficits is an elevated amount of intrinsic blur in the amblyopic visual system compared to healthy observers. This "internally produced blur" can be estimated by the "equivalent intrinsic blur method", which measures blur discrimination thresholds while systematically increasing the external blur in the physical stimulus. Surprisingly, amblyopes do not exhibit elevated intrinsic blur when measured with an edge stimulus. Given the fundamental ways in which they differ, synthetic stimuli, such as edges, are likely to generate contrasting blur perception compared to natural stimuli, such as pictures. Because our visual system is presumably tuned to process natural stimuli, testing artificial stimuli only could result in performances that are not ecologically valid.

METHODS

We tested this hypothesis by measuring, for the first time, the perception of blur added to natural images in amblyopia and compared discrimination performance for natural images and synthetic edges in healthy and amblyopic groups.

RESULTS

Our results demonstrate that patients with amblyopia exhibit higher levels of intrinsic blur than control subjects when tested on natural images. This difference was not observed when using edges.

CONCLUSIONS

Our results suggest that intrinsic blur is elevated in the visual system representing vision from the amblyopic eye and that distinct statistics of images can generate different blur perception.

Для цитирования: Abbas Farishta Reza, Yang Charlene L, Farivar Reza. Blur Representation in the Amblyopic Visual System Using Natural and Synthetic Images.. Investigative ophthalmology & visual science. 2022. DOI: 10.1167/iovs.63.1.3.

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