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Fast adaptive wavelet packet image compression
KTH, Superseded Departments, Mathematics.
2000 (English)In: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 9, no 5, 792-800 p.Article in journal (Refereed) Published
Abstract [en]

Wavelets are ill-suited to represent oscillatory patterns: rapid variations of intensity can only be described by the small scale wavelet coefficients, which are often quantized to zero, even at high bit rates. Our goal in this paper is to provide a fast numerical implementation of the best wavelet packet algorithm [1] in order to demonstrate that an advantage can be gained by constructing a basis adapted to a target image. Emphasis in this paper has been placed on developing algorithms that are computationally efficient. We developed a new fast two-dimensional (2-D) convolution-decimation algorithm with factorized nonseparable 2-D filters. The algorithm is four times faster than a standard convolution-decimation, An extensive evaluation of the algorithm was performed on a large class of textured images. Because of its ability to reproduce textures so well, the wavelet packet coder significantly out performs one of the best wavelet coder [2] on images such as Barbara and fingerprints, both visually and in term of PSNR.

Place, publisher, year, edition, pages
2000. Vol. 9, no 5, 792-800 p.
Keyword [en]
adaptive transform, best basis, image compression, ladder structure, wavelet packet, quantization, algorithms, transforms
URN: urn:nbn:se:kth:diva-19768ISI: 000087096700005OAI: diva2:338460
QC 20100525Available from: 2010-08-10 Created: 2010-08-10Bibliographically approved

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