Literature DB >> 15536903

Image enhancement in the JPEG domain for people with vision impairment.

Jinshan Tang1, Jeonghoon Kim, Eli Peli.   

Abstract

An image enhancement algorithm for low-vision patients was developed for images compressed using the JPEG standard. The proposed algorithm enhances the images in the discrete cosine transform domain by weighting the quantization table in the decoder. Our specific implementation increases the contrast at all bands of frequencies by an equal factor. The enhancement algorithm has four advantages: 1) low computational cost; 2) suitability for real-time application; 3) ease of adjustment by end-users (for example, adjusting a single parameter); and 4) less severe block artifacts as compared with conventional (post compression) enhancements. Experiments with visually impaired patients show improved perceived image quality at moderate levels of enhancement but rejection of artifacts caused by higher levels of enhancement.

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Year:  2004        PMID: 15536903     DOI: 10.1109/TBME.2004.834264

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 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

2.  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

3.  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

4.  Television, computer and portable display device use by people with central vision impairment.

Authors:  Russell L Woods; Premnandhini Satgunam
Journal:  Ophthalmic Physiol Opt       Date:  2011-03-16       Impact factor: 3.117

5.  Visual search performance of patients with vision impairment: effect of JPEG image enhancement.

Authors:  Gang Luo; PremNandhini Satgunam; Eli Peli
Journal:  Ophthalmic Physiol Opt       Date:  2012-04-28       Impact factor: 3.117

6.  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

7.  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

8.  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

  8 in total

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