Wavelet Filter Evaluation for Image Coding
Claudia Schremmer, Christoph Kuhmünch, Christoph Esser · MADOC (University of Mannheim) · 2001
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.