Literature DB >> 1371332

Limitations of image enhancement for the visually impaired.

E Peli1.   

Abstract

Image enhancement as an aid for the visually impaired may improve visibility of TV programs and provide portable visual aid. This paper describes the current techniques for image enhancement and their underlying models. The limitations of the various techniques and of potential methods of implementation are high-lighted. Initial work in this area was based on a linear model. The finite dynamic range available in the video display and contamination of the enhanced image by high spatial frequency noise limited the model's usefulness. I propose a method to address some limitations of the original model that considers the nonlinear response of the visual system and requires enhancement of subthreshold spatial information only. This modification may increase the dynamic range available by decreasing the range previously used by the linear models to enhance visible details. However, for the modified technique to be most effective, the enhancement has to be continuously tuned, based on the patient's visual loss and the spatial frequency content of the displayed images. The implications of these limitations for the potential implementation in TV are discussed. Implementation of an image-enhancing visual aid in a head-mounted, binocular, full-field, virtual vision device may cause substantial difficulties. Patient adaptation may be difficult due to head movement and interaction of the vestibular system response with the head-mounted display. An alternate, bioptic design is proposed in which the display is positioned above or below the line of sight to be examined intermittently, possibly in a freeze-frame mode. Such implementation is also likely to be less expensive, enabling more users access to the device.

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Mesh:

Year:  1992        PMID: 1371332     DOI: 10.1097/00006324-199201000-00003

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN: 1040-5488            Impact factor:   1.973


  8 in total

1.  Recognition performance and perceived quality of video enhanced for the visually impaired.

Authors:  Eli Peli
Journal:  Ophthalmic Physiol Opt       Date:  2005-11       Impact factor: 3.117

2.  IMAGE ENHANCEMENT FOR IMPAIRED VISION: THE CHALLENGE OF EVALUATION.

Authors:  Eli Peli; Russell L Woods
Journal:  Int J Artif Intell Tools       Date:  2009-06       Impact factor: 1.208

3.  Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions.

Authors:  Vlad Atanasiu; Isabelle Marthot-Santaniello
Journal:  Int J Doc Anal Recognit       Date:  2021-12-27

4.  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

5.  An augmented-reality edge enhancement application for Google Glass.

Authors:  Alex D Hwang; Eli Peli
Journal:  Optom Vis Sci       Date:  2014-08       Impact factor: 1.973

6.  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

7.  A Quantitative Investigation on the Effect of Edge Enhancement for Improving Visual Acuity at Different Levels of Contrast.

Authors:  S Nabavi; A Mehri Dehnavi; A Vard; S Mohammad Pour
Journal:  J Biomed Phys Eng       Date:  2018-03-01

8.  Use of augmented reality technology for improving visual acuity of individuals with low vision.

Authors:  Sarika Gopalakrishnan; Sanjana Chouhan Suwalal; Gnanapoonkodi Bhaskaran; Rajiv Raman
Journal:  Indian J Ophthalmol       Date:  2020-06       Impact factor: 1.848

  8 in total

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