Analysis of Interscale and Intrascale Dependencies between Image Wavelet Coefficients

We develop an information?theoretic analysis of dependencies between image wavelet coefficients. The dependencies are measured using mutual information, which has a direct link with data compression and estimation performance. Mutual information can be computed analytically for the special case where the image is a stationary autoregressive (AR)?1 Gaussian process. We have also developed methods to compute mutual information experimentally from wavelet domain image data. Our mutual?information analysis provides a mechanism for model evaluation and comparison.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: Juan Liu, Pierre Moulin
• Keywords: ICIP 2000, Image Processing, Image Wavelet Coefficients, Mutual Information, Wavelet Domain Image