DocumentCode :
1137399
Title :
Image enhancement in the JPEG domain for people with vision impairment
Author :
Tang, Jinshan ; Kim, Jeonghoon ; Peli, Eli
Volume :
51
Issue :
11
fYear :
2004
Firstpage :
2013
Lastpage :
2023
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.
Keywords :
discrete cosine transforms; image enhancement; medical image processing; vision defects; JPEG; block artifacts; compressed images; discrete cosine transform; image enhancement; improved perceived image quality; low-vision patients; vision impairment; Computational efficiency; Decoding; Discrete cosine transforms; Frequency; Image coding; Image enhancement; Image quality; Quantization; Standards development; Transform coding; Algorithms; Communication Aids for Disabled; Computer Terminals; Humans; Hypermedia; Image Enhancement; Image Interpretation, Computer-Assisted; Television; Video Recording; Vision, Low; Visually Impaired Persons;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2004.834264
Filename :
1344204
Link To Document :
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