| Techreport |
| Type of Publication |
| Wavelet Filter Evaluation for Image Coding |
| Title |
|
Christoph Esser
|
| Authors |
| Technical Report TR-01-006, Department for Mathematics and Computer Science,
University of Mannheim, March 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: 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. |
| Abstract |
|
Wavelet Analysis
Decomposition Depth
Visual Quality
Evaluation
|
| Keywords |
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