Title :
Quantifying visual distortion in low-rate wavelet-coded images
Author :
Hemami, Sheila S. ; Ramos, Marcia G.
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
An experiment quantifying human sensitivity to supra-threshold compression artifacts in wavelet-compressed images allows a computation and comparison of mean-squared errors producing equivalent visual distortion, and demonstrates that common assumptions used in wavelet image compression do not necessarily hold for low-rate images. The resulting MSE in the image is constant for a spatial frequency and is independent of orientation. Because the quantizers are not operating in the granular region, however, equal MSE does not imply equal quantizer step sizes. Computed threshold elevations for the second and third visible degradations are predicted well by the constant MSE model. Supra-threshold distortions in complex stimuli do not therefore behave according to sub-threshold assumptions, which suggest that the quantizer step size should be constant for a spatial frequency
Keywords :
data compression; image coding; mean square error methods; quantisation (signal); transform coding; wavelet transforms; constant MSE model; human sensitivity; low-rate wavelet-coded images; mean squared errors; quantizer step sizes; spatial frequency; supra-threshold distortions; suprathreshold compression artifacts; threshold elevations; visual distortion; wavelet image compression; wavelet-compressed images; Communication channels; Computer errors; Degradation; Frequency; Humans; Image coding; Pervasive computing; Predictive models; Psychology; Quantization;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958240