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
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.901041
