Optimal Design of Transform Coders for Image Classification

This paper addresses the issue of optimal design of transform and multirate coders, when the compressed data are to be used for classiication purposes. We propose to use Chernoo bounds on the probability of misclassiication as the criterion for designing the coder. The performance of optimized transform and multirate coders is compared. The theory is illustrated with a texture classiication example.