Application of wavelets to image coding

Author

Lawton, Wayne

Author_Institution

Aware Inc., Cambridge, MA, USA

fYear

1989

fDate

6-8 Sep 1989

Firstpage

101

Abstract

Summary form only given, as follows. Multilevel image coding methods for compression and related image processing applications are described. These methods first transform an image, using the specific orthonormal bases of compactly supported wavelets invented by Daubechies (1988), to obtain a multiresolution representation of the image in terms of its transform coefficients. Subsequent multilevel processing is performed directly on these coefficients using techniques such as vector quantization, correlation, and prediction to achieve typical compression, stereoscopic matching, enhancement, or pattern recognition goals. Computational complexity issues and numerical results are discussed

Keywords

encoding; picture processing; transforms; wave equations; computational complexity; correlation; image coding; image compression; image enhancement; image processing; multilevel processing; multiresolution representation; orthonormal bases; pattern recognition; prediction; stereoscopic matching; transform coefficients; vector quantization; Image coding; Image processing; Mathematics; Pattern analysis; Pattern matching; Pattern recognition; Signal resolution; Vector quantization; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Multidimensional Signal Processing Workshop, 1989., Sixth

Conference_Location

Pacific Grove, CA

Type

conf

DOI

10.1109/MDSP.1989.97054

Filename

97054