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