Directional image compression with brushlets

Author

Meyer, François G. ; Coifman, Ronald R.

Author_Institution

Dept. of Math., Yale Univ., New Haven, CT, USA

fYear

1996

fDate

18-21 Jun 1996

Firstpage

189

Lastpage

192

Abstract

We construct a new adaptive basis that provide precise frequency localization and good spatial localization. We develop a compression algorithm that exploits this basis to obtain the most economical representation of the 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 highly textured images

Keywords

Fourier transforms; adaptive signal processing; data compression; frequency-domain analysis; image coding; image representation; image texture; Fourier domain; adaptive basis; compression algorithm; directional image compression; frequency localization; image coding algorithm; image representation; spatial localization; textured images; textured pattern frequencies; textured pattern orientations; textured pattern positions; textured pattern sizes; Fourier transforms; Frequency; Image analysis; Image coding; Image edge detection; Image segmentation; Image texture analysis; Pattern analysis; Tensile stress; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on

Conference_Location

Paris

Print_ISBN

0-7803-3512-0

Type

conf

DOI

10.1109/TFSA.1996.547213

Filename

547213