Literature DB >> 20161188

IMAGE ENHANCEMENT FOR IMPAIRED VISION: THE CHALLENGE OF EVALUATION.

Eli Peli1, Russell L Woods.   

Abstract

With the aging of the population, the prevalence of eye diseases and thus of vision impairment is increasing. The TV watching habits of people with vision impairments are comparable to normally sighted people1, however their vision loss prevents them from fully benefiting from this medium. For over 20 years we have been developing video image-enhancement techniques designed to assist people with visual impairments, particularly those due to central retinal vision loss. A major difficulty in this endeavor is the lack of evaluation techniques to assess and compare the effectiveness of various enhancement methods. This paper reviews our approaches to image enhancement and the results we have obtained, with special emphasis on the difficulties encountered in the evaluation of the benefits of enhancement and the solutions we have developed to date.

Entities:  

Year:  2009        PMID: 20161188      PMCID: PMC2727758          DOI: 10.1142/S0218213009000214

Source DB:  PubMed          Journal:  Int J Artif Intell Tools        ISSN: 0218-2130            Impact factor:   1.208


  16 in total

1.  Contrast sensitivity function and image discrimination.

Authors:  E Peli
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2001-02       Impact factor: 2.129

2.  Contrast in complex images.

Authors:  E Peli
Journal:  J Opt Soc Am A       Date:  1990-10       Impact factor: 2.129

3.  Test of a model of foveal vision by using simulations.

Authors:  E Peli
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1996-06       Impact factor: 2.129

4.  Automatic boundary detection of the left ventricle from cineangiograms.

Authors:  C K Chow; T Kaneko
Journal:  Comput Biomed Res       Date:  1972-08

5.  Post Transmission Digital Video Enhancement for People with Visual Impairments.

Authors:  Matthew Fullerton; Eli Peli
Journal:  J Soc Inf Disp       Date:  2006-01       Impact factor: 2.140

Review 6.  Enhancement of retinal images: pros and problems.

Authors:  E Peli
Journal:  Neurosci Biobehav Rev       Date:  1993       Impact factor: 8.989

7.  Wideband enhancement of television images for people with visual impairments.

Authors:  Eli Peli; Jeonghoon Kim; Yitzhak Yitzhaky; Robert B Goldstein; Russell L Woods
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2004-06       Impact factor: 2.129

Review 8.  Limitations of image enhancement for the visually impaired.

Authors:  E Peli
Journal:  Optom Vis Sci       Date:  1992-01       Impact factor: 1.973

9.  Digital Enhancement of Television Signals for People with Visual Impairments: Evaluation of a Consumer Product.

Authors:  Matthew Fullerton; Eli Peli
Journal:  J Soc Inf Disp       Date:  2008-03       Impact factor: 2.140

10.  Measuring perceived video quality of MPEG enhancement by people with impaired vision.

Authors:  Matthew Fullerton; Russell L Woods; Fuensanta A Vera-Diaz; Eli Peli
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2007-12       Impact factor: 2.129

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  14 in total

Review 1.  High Tech Aids Low Vision: A Review of Image Processing for the Visually Impaired.

Authors:  Howard Moshtael; Tariq Aslam; Ian Underwood; Baljean Dhillon
Journal:  Transl Vis Sci Technol       Date:  2015-08-14       Impact factor: 3.283

Review 2.  Applications of augmented reality in ophthalmology [Invited].

Authors:  Güneş Aydındoğan; Koray Kavaklı; Afsun Şahin; Pablo Artal; Hakan Ürey
Journal:  Biomed Opt Express       Date:  2020-12-21       Impact factor: 3.732

3.  AR4VI: AR as an Accessibility Tool for People with Visual Impairments.

Authors:  James M Coughlan; Joshua Miele
Journal:  Int Symp Mix Augment Real       Date:  2017-10-30

4.  Shape and individual variability of the blur adaptation curve.

Authors:  Fuensanta A Vera-Diaz; Russell L Woods; Eli Peli
Journal:  Vision Res       Date:  2010-04-24       Impact factor: 1.886

5.  Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind.

Authors:  Kyungjun Lee; Daisuke Sato; Saki Asakawa; Chieko Asakawa; Hernisa Kacorri
Journal:  ASSETS       Date:  2021

6.  Blur Adaptation to Central Retinal Disease.

Authors:  Fuensanta A Vera-Diaz; Russell L Woods; Eli Peli
Journal:  Invest Ophthalmol Vis Sci       Date:  2017-07-01       Impact factor: 4.799

7.  Contour enhancement benefits older adults with simulated central field loss.

Authors:  Miyoung Kwon; Chaithanya Ramachandra; Premnandhini Satgunam; Bartlett W Mel; Eli Peli; Bosco S Tjan
Journal:  Optom Vis Sci       Date:  2012-09       Impact factor: 1.973

8.  Effects of contour enhancement on low-vision preference and visual search.

Authors:  Premnandhini Satgunam; Russell L Woods; Gang Luo; P Matthew Bronstad; Zachary Reynolds; Chaithanya Ramachandra; Bartlett W Mel; Eli Peli
Journal:  Optom Vis Sci       Date:  2012-09       Impact factor: 1.973

9.  An implementation of Bubble Magnification did not improve the video comprehension of individuals with central vision loss.

Authors:  Francisco M Costela; Stephanie M Reeves; Russell L Woods
Journal:  Ophthalmic Physiol Opt       Date:  2021-03-28       Impact factor: 3.992

10.  Measuring information acquisition from sensory input using automated scoring of natural-language descriptions.

Authors:  Daniel R Saunders; Peter J Bex; Dylan J Rose; Russell L Woods
Journal:  PLoS One       Date:  2014-04-02       Impact factor: 3.240

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