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Image enhancement in the JPEG domain for people with vision impairment
Jinshan Tang1, Jeonghoon Kim, Eli Peli
1Schepens Eye Research Institute, Harvard Medical School, Boston, MA 02114-2500, USA. jt6w@virginia.edu
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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