DocumentCode :
2466291
Title :
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
Link To Document :
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