Adaptive directional image compression with oriented wavelets

We construct a new adaptive basis that provides precise frequency localization and good spatial localization. We develop a compression algorithm that exploits this basis to obtain the most economical representation of an image in terms of textured patterns with different orientations, frequencies, sizes, and positions. The technique directly works in the Fourier domain and has potential applications for compression of richly textured images.