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Publication

Publikation

Techreport
Type of Publication
Empirical Evaluation of Boundary Policies for Wavelet-Based Image Coding
Title
Authors
Technical Report TR-01-007, Department for Mathematics and Computer Science, University of Mannheim, April 2001
Published in
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.
Abstract
Wavelet Analysis
Image Coding
Boundary Policies
Empirical Evaluation
Keywords
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