Title :
Optimized biorthogonal shape adaptive wavelets
Author_Institution :
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Abstract :
This paper presents shape adaptive wavelet transforms for object-based image coding. Methods for recovering moment properties that are valid for the original filters and wavelets, but that get lost in the boundary regions of shape adaptive transforms, are presented. Furthermore, methods for equalizing the energies of the boundary wavelets are shown. This equalization allows one to avoid the white quantization noise (introduced in the subbands) that appears as highly colored noise in the reconstructed image
Keywords :
adaptive signal processing; channel bank filters; circuit optimisation; discrete wavelet transforms; filtering theory; image coding; image reconstruction; quantisation (signal); transform coding; white noise; boundary regions; boundary wavelets; colored noise; discrete wavelet transforms; filter optimization; moment properties recovery; object-based image coding; optimized biorthogonal shape adaptive wavelets; reconstructed image; two-channel filter bank; white quantization noise; Australia; Colored noise; Discrete wavelet transforms; Filter bank; Image analysis; Image coding; Image reconstruction; Polynomials; Shape; Wavelet transforms;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.999053
