Cluster-based probability model and its application to image and texture processing

K. Popat, R.W. Picard
1997 IEEE Transactions on Image Processing  
We develop, analyze, and apply a speci c form of mixture modeling for density estimation, within the context of image and texture processing. The technique captures much of the higher-order, nonlinear statistical relationships present among vector elements by combining aspects of kernel estimation and cluster analysis. Experimental results are presented in the following applications: image restoration, image and texture compression, and texture classi cation.
doi:10.1109/83.551697 pmid:18282922 fatcat:cgdrvnosoncgxhn6ggpvdezhje