BRUSHLETS - A TOOL FOR DIRECTIONAL IMAGE-ANALYSIS AND IMAGE COMPRESSION

We construct a new adaptive basis of functions which is reasonably wel l localized with only one peak in frequency. We develop a compression algorithm that exploits this basis to obtain the most economical repre sentation of the image in terms of textured patterns with different or ientations, frequencies, sizes, and positions. The technique directly works in the Fourier domain and has potential applications for compres sion of highly textured images, texture analysis, etc. (C) 1997 Academ ic Press.