DocumentCode :
1680293
Title :
Fast algorithm for binary field wavelet transform for image processing
Author :
Law, N.F. ; Liew, A. W C ; Siu, Wan-chi
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hung Hom, China
Volume :
2
fYear :
2001
Firstpage :
281
Abstract :
The lifting scheme for the real field wavelet transform has provided a new insight into its practical implementation. This paper shows that a similar scheme can be developed for the binary field wavelet transform. In particular, by using the Euclidean algorithm, the binary filters can be decomposed into a finite sequence of simple lifting steps over the binary field. This provides an alternative method for the implementations of the binary field wavelet transform for image processing applications. It is found that the new implementation can reduce the number of arithmetic operations involved in the transform and allow an efficient in-place implementation structure
Keywords :
Galois fields; channel bank filters; filtering theory; image processing; wavelet transforms; Euclidean algorithm; Galois field; arithmetic operations; binary field wavelet transform; binary filters; filter bank implementation; finite sequence; image processing; lifting steps; Arithmetic; Filter bank; Galois fields; Image processing; Image reconstruction; Signal design; Signal processing algorithms; Signal resolution; Spatial resolution; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
Type :
conf
DOI :
10.1109/ICIP.2001.958481
Filename :
958481
Link To Document :
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