Empirical Evaluation of Boundary Policies for Wavelet-Based Image Coding

Schremmer, Claudia

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URL: https://ub-madoc.bib.uni-mannheim.de/754
URN: urn:nbn:de:bsz:180-madoc-7546
Document Type: Working paper
Year of publication: 2001
The title of a journal, publication series: Technical Reports
Volume: 01-007
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 , Image Coding , Boundary Policies , Empirical 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. In this paper, we discuss different image boundary policies and their implications for the decoded image. A pool of gray-scale images has been wavelet-transformed with different settings of the wavelet filter bank and quantization threshold and with three possible boundary policies. Our empirical evaluation is based on three benchmarks: a first judgement regards the perceived quality of the decoded image. The compression rate is a second crucial factor. Finally, the best parameter settings with regard to these two factors is weighted with the cost of implementation. Contrary to the new standard JPEG-2000, where mirror padding is implemented, our investigation proposes circular convolution as the boundary treatment.
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