DocumentCode
1741586
Title
Perceptual quantization for wavelet-based image coding
Author
Ramos, Marcia G. ; Hemami, Sheila S.
Author_Institution
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
645
Abstract
A psychovisually-based quantization strategy for wavelet coded images is proposed. The quantization strategy is based on the results of a psychovisual evaluation to quantify sensitivities to supra-threshold distortion caused by wavelet coefficient quantization in natural images. Quantizer step sizes to produce a minimum noticeable distortion are parameterized in terms of subband standard deviation and a quantization strategy is subsequently proposed. The resulting strategy is applied to both intraband and embedded wavelet coders and reveals a significant perceptual improvement when images exhibit supra-threshold distortion
Keywords
image coding; quantisation (signal); transform coding; visual perception; wavelet transforms; embedded wavelet coders; intraband wavelet coders; minimum noticeable distortion; natural images; perceptual quantization; psychovisual evaluation; psychovisually-based quantization strategy; quantizer step sizes; subband standard deviation; supra-threshold distortion; wavelet coefficient quantization; wavelet image coding; Compression algorithms; Frequency; Humans; Image analysis; Image coding; Psychology; Quantization; Visual system; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.901041
Filename
901041
Link To Document