Wavelet Filter Evaluation for Image Coding

Schremmer, Claudia ; Kuhmünch, Christoph ; Esser, Christoph

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URL: https://ub-madoc.bib.uni-mannheim.de/753
URN: urn:nbn:de:bsz:180-madoc-7538
Document Type: Working paper
Year of publication: 2001
The title of a journal, publication series: Technical Reports
Volume: 01-006
Place of publication: Mannheim
Publication language: English
Institution: School of Business Informatics and Mathematics > Sonstige - Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik
MADOC publication series: Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
Subject: 004 Computer science, internet
Subject headings (SWD): Wavelet , Datenkompression , Bildqualität
Keywords (English): Wavelet Analysis , Decomposition Depth , Visual Quality , Evaluation
Abstract: The wavelet transform has become the most interesting new algorithm for still image compression. Yet there are many parameters within a wavelet analysis and synthesis which govern the quality of a decoded image: decomposition strategy, image boundary policy, quantization threshold, etc. In this paper we discuss different image boundary policies and their implications for the decoded image. A focal point is the trade-off between the length of an orthogonal, compactly supported Daubechies-n wavelet filter bank and the decomposition depth of an image during analysis. An evaluation of the visual quality of images at different parameter settings leads to recommendations on the wavelet filter parameters to be used in image coding.
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