Perceptually lossless fractal image compression

Huawu Lin; Anastasios N. Venetsanopoulos

doi:10.1117/12.233214

27 February 1996 Perceptually lossless fractal image compression

Huawu Lin, Anastasios N. Venetsanopoulos

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233214
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

Abstract

According to the collage theorem, the encoding distortion for fractal image compression is directly related to the metric used in the encoding process. In this paper, we introduce a perceptually meaningful distortion measure based on the human visual system's nonlinear response to luminance and the visual masking effects. Blackwell's psychophysical raw data on contrast threshold are first interpolated as a function of background luminance and visual angle, and are then used as an error upper bound for perceptually lossless image compression. For a variety of images, experimental results show that the algorithm produces a compression ratio of 8:1 to 10:1 without introducing visual artifacts.

Citation Download Citation

Huawu Lin and Anastasios N. Venetsanopoulos "Perceptually lossless fractal image compression", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233214

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