Title :
Multibandwidth wavelet-transform image coding using zerotrees
Author :
Demirciler, Ediz S. ; Freeman, George H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Abstract :
A wavelet transform with multibandwidth channels is investigated for image coding. It offers improved frequency resolution and good compression efficiency. For effective coding, the multibandwidth transform is accompanied by (1) the use of zerotrees (proposed by Shapiro (see IEEE Trans. Signal Proc., vol.41, p.3445-3462, 1993)) to predict insignificant information across scales; and (2) entropy coding (done by an adaptive arithmetic code). Optimised bit allocations for the orthonormal and biorthogonal multibandwidth decompositions are derived. The use of different wavelets to perform different stages of the decomposition is shown to be advantageous. Empirical compression results are presented for individual test images
Keywords :
adaptive codes; arithmetic codes; entropy codes; image coding; image resolution; transform coding; trees (mathematics); wavelet transforms; adaptive arithmetic code; biorthogonal multibandwidth decomposition; compression efficiency; empirical compression results; entropy coding; frequency resolution; multibandwidth channels; multibandwidth transform; multibandwidth wavelet transform image coding; optimised bit allocations; orthonormal multibandwidth decomposition; test images; zerotrees; Bandwidth; Bit rate; Discrete wavelet transforms; Entropy coding; Filters; Frequency; Image coding; Multiresolution analysis; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2766-7
DOI :
10.1109/CCECE.1995.528096
