DocumentCode
2111186
Title
Psychovisual correlations with multifractal measures for wavelet and wavelet packet progressive image transmission
Author
Dansereau, R. ; Kinsner, W.
Author_Institution
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume
1
fYear
2000
fDate
2000
Firstpage
435
Abstract
In an effort to develop a quantitative measure for image quality, this paper looks for psychovisual correlations of image quality to multifractal measures. Image metrics such as peak signal-to-noise ratio are not well suited as perceptual indicators and other techniques are primarily limited to just noticeable differences which limit their use in general. It is desirable to have image quality metrics for progressive image transmission that are more general and can evaluate images produced during a progressive image transmission, from the worst image reconstruction step all the way to the final perfect image. We focus on how the Renyi (1955) dimension spectrum changes as more wavelet and wavelet packet coefficients are included in a progressive image transmission. Mean opinion score (MOS) results serve as an additional basis for analyzing how the progressive image transmission affect the Renyi dimension spectrum. While this paper does not give a final answer to what the best metric would be for image quality in a progressive image transmission, it does attempt to link perceptual quality with multifractal measures
Keywords
correlation methods; fractals; image reconstruction; spectral analysis; visual communication; wavelet transforms; PSNR; Renyi dimension spectrum; image quality metrics; image reconstruction; mean opinion score results; multifractal measures; peak signal-to-noise ratio; perceptual quality; psychovisual correlations; quantitative measure; wavelet coefficients; wavelet packet coefficients; wavelet packet progressive image transmission; wavelet progressive image transmission; Electric variables measurement; Fractals; Humans; Image communication; Image quality; PSNR; Psychology; Wavelet analysis; Wavelet domain; Wavelet packets;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2000 Canadian Conference on
Conference_Location
Halifax, NS
ISSN
0840-7789
Print_ISBN
0-7803-5957-7
Type
conf
DOI
10.1109/CCECE.2000.849746
Filename
849746
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