Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Model-based image enhancement for the visually impaired

Open Access Open Access

Abstract

Image enhancement potentially provides low-vision patients better use and enjoyment of printed photographs and TV. A variety of equipment and techniques exist for enhancements, but there is no systematic method of designing appropriate enhancement for low-vision patients. Most image enhancement techniques may be classified as either contrast modification or spatial-filtering techniques. Although global contrast modification may be beneficial for the visually impaired, there is no way to optimize the selection of the modification paradigm or the parameters to be used. We propose a linear model of impaired vision in which the degradation transfer function resulting from the impairment is described by the ratio of the spatial contrast sensitivity function (CSF) of the low-vision eye to the CSF of a normal eye. The inverse of the degradation transfer function may be used as a spatial filter to preemphasize the image before it is displayed to the low-vision patient. Based on the CSF, the appropriate filter may be tailored for each patient or group of patients. Both threshold and suprathreshold CSF data may be required for the filter design. Results with optically simulated cataracts indicate that this approach may be feasible for patients with high spatial frequency loss.

© 1985 Optical Society of America

PDF Article
More Like This
Contrast Sensitivity Functions for Analysis and Simulation of Visual Perception

Eli Peli, Robert B. Goldstein, George M. Young, and Lawrence E. Arend
WB1 Noninvasive Assessment of the Visual System (NAVS) 1990

A Generalized Image Processing Application for the Enhancement of Images for the Visually Impaired

Andrew J. Kennedy, Susan J. Leat, and M. Ed Jernigan
SaE.4 Vision Science and its Applications (VSIA) 1998

Image enhancement filters for the visually impaired: a comparison of generic and customised niters.

Gloria Omoruyi, Susan J. Leat, Andrew Kennedy, and M. Ed Jernigan
FD2 Vision Science and its Applications (VSIA) 2001

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.