scispace - formally typeset
E

Eli Peli

Researcher at Massachusetts Eye and Ear Infirmary

Publications -  371
Citations -  10285

Eli Peli is an academic researcher from Massachusetts Eye and Ear Infirmary. The author has contributed to research in topics: Visual field & Image processing. The author has an hindex of 48, co-authored 364 publications receiving 9619 citations. Previous affiliations of Eli Peli include Tufts University & Tufts Medical Center.

Papers
More filters
Journal ArticleDOI

Perceived contrast in complex images

TL;DR: It is found that the overall contrast of an image is disproportionately determined by how much contrast is around the peak of the contrast sensitivity function (CSF), and that an increase in gain control strength toward low spatial frequencies is necessary.
Journal ArticleDOI

Image analysis of changes in drusen area.

TL;DR: Computerized image processing was used to analyze color fundus photographs of 11 patients with macular drusen who were followed for more than 2 years, and all eye pairs studied showed a concomitant increase or decrease in thedrusen area.
Patent

Halftone imaging method and apparatus utilizing pyramidol error convergence

TL;DR: In this paper, the continuous grey tone image is first binarized and then compared with the grey tone images over a larger window of pixels within each window, selected binarised image pixels are tested for possible change in binary assignment.
Journal ArticleDOI

A Relationship between Tolerance of Blur and Personality

TL;DR: Results provide the first evidence of a relationship between personality and tolerance of blur, which may be related to perception of image quality and influence refractive error correction and development and other choices that are made when presented with degraded images.
Journal ArticleDOI

Enhancement of text for the visually impaired.

TL;DR: In this article, the benefits of image enhancement by spatial filtering for face perception and motion video appreciation among elderly low-vision observers were evaluated and the authors concluded that the enhancement of text by spatial filter does not substantially increase reading rates for most low vision patients.