Wavelet-based image processing

Author: Walker, James S.

Source: Applicable Analysis, Volume 85, Number 4, Number 4/April 2006 , pp. 439-458(20)

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Abstract:

The 1990s witnessed an explosion of wavelet-based methods in the field of image processing. This article will focus primarily on wavelet-based image compression. We shall describe the connection between wavelets and vision, and how wavelet techniques provide image compression algorithms that are clearly superior to the present JPEG standard. In particular, the wavelet-based algorithms known as SPIHT, ASWDR, and the new standard JPEG2000, will be described and compared. Our comparison will show that, in many respects, ASWDR is the best algorithm. Applications to denoising will also be briefly referenced and pointers supplied to other references on wavelet-based image processing.

Keywords: Wavelets; Image Processing; Image Compression

Document Type: Research article

DOI: http://dx.doi.org/10.1080/00036810500358874

Affiliations: 1: Department of Mathematics, University of Wisconsin–Eau Claire, USA

Publication date: 2006-04-01

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