Title :
Adaptive wavelet based spatially de-noising
Author :
Quan, Pan ; Lei, Zhang ; Hongcai, Zhang ; Guanzhong, Dai
Author_Institution :
Dept. of Autom. Control, Northwestern Polytech. Univ., Xian, China
Abstract :
A complete adaptive wavelet-based denoising method is presented. By giving the noise power threshold, proposing the distinctive coefficient COF and threshold coefficient th(m) and modifying the edge extraction order, we make the spatially selective noise filtering efficient. An estimation of noise level is also given. The simulations show that the method can keep edges well while substantially removing noise
Keywords :
adaptive estimation; adaptive filters; adaptive signal processing; filtering theory; parameter estimation; wavelet transforms; adaptive wavelet; distinctive coefficient; edge extraction order; noise level estimation; noise power threshold; simulations; spatially selective noise filtering; threshold coefficient; Adaptive control; Automatic control; Discrete wavelet transforms; Filtration; Frequency; Gaussian noise; Noise level; Noise reduction; Programmable control; Wavelet transforms;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770256
