Title :
Decomposition strategies for wavelet-based image coding
Author :
Schremmer, Claudia
Author_Institution :
Praktische Informatik IV, Mannheim Univ., Germany
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 decomposition strategies of a two-dimensional signal and their implications for the decoded image: a pool of gray-scale images has been wave let-transformed with different settings of the wavelet filter bank, quantization threshold and decomposition method. Contrary to the new standard JPEG-2000, where nonstandard decomposition is implemented, our investigation proposes standard decomposition for low-bitrate coding
Keywords :
data compression; decoding; image coding; quantisation (signal); transform coding; wavelet transforms; decoded image; decomposition strategy; gray-scale images; image coding; low-bitrate coding; quantization threshold; standard decomposition; still image compression; two-dimensional signal; wavelet analysis; wavelet decomposition; wavelet filter bank; wavelet transform; Band pass filters; Decoding; Discrete wavelet transforms; Filter bank; Finite impulse response filter; Image analysis; Image coding; Low pass filters; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
DOI :
10.1109/ISSPA.2001.950197
