title: Image enhancement in the JPEG domain for people with vision impairment.
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.
authors.affiliation: Schepens Eye Research Institute, Harvard Medical School, Boston, MA 02114-2500, USA. jt6w@virginia.edu
authors.forename: Jinshan
authors.initials: J
authors.lastname: Tang
authors.forename: Jeonghoon
authors.initials: J
authors.lastname: Kim
authors.forename: Eli
authors.initials: E
authors.lastname: Peli
mesh_terms: D000465:Algorithms; D003143:Communication Devices for People with Disabilities; D016288:Computer Terminals; D006801:Humans; D019146:Hypermedia; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D013690:Television; D014741:Video Recording / Q000379:methods*; D015354:Vision, Low / Q000534:rehabilitation*; D019987:Persons with Visual Disabilities / Q000534:rehabilitation