Incorporating human visual system (HVS) models into the fractal image compression

Author

Lin, H. ; Venetsanapoulos, A.N.

Author_Institution

Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada

Volume

4

fYear

1996

fDate

7-10 May 1996

Firstpage

1950

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 (1946) psychophysical raw data on contrast threshold are first interpolated as a function of background luminance and visual angle, and is 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

Keywords

brightness; data compression; fractals; image coding; interpolation; visual perception; algorithm; background luminance; collage theorem; compression ratio; contrast threshold; encoding distortion; error upper bound; experimental results; fractal image compression; human visual system models; interpolation; luminance; nonlinear response; perceptually lossless image compression; perceptually meaningful distortion measure; psychophysical raw data; visual angle; visual masking effects; Computer errors; Digital images; Distortion measurement; Fractals; Humans; Image coding; Image storage; Nonlinear distortion; Psychology; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.544834

Filename

544834