TY - GEN
T1 - Adaptive denoising based on lifting scheme
AU - Wu, Yonghong
AU - Pan, Quan
AU - Zhang, Hongcai
AU - Zhang, Shaowu
PY - 2004
Y1 - 2004
N2 - Observing that the Haar wavelet is sensitive to step edges, and the CDF(2,2) wavelet which is a subset of the Cohen-Daubechies-Feauveau family performs well for smooth signals, we present a new adaptive wavelet transform via the lifting scheme for noise reduction. Unlike many popular wavelets that adapt scale-by-scale, the proposed wavelet can adapt point-by-point. Experiment results show that the proposed method has advantages of both the Haar and CDF(2,2) wavelets and performs well for the smooth and edge-dominated regions. Moreover, the interval of the switch thresholding parameter of the proposed wavelet is given by experiments.
AB - Observing that the Haar wavelet is sensitive to step edges, and the CDF(2,2) wavelet which is a subset of the Cohen-Daubechies-Feauveau family performs well for smooth signals, we present a new adaptive wavelet transform via the lifting scheme for noise reduction. Unlike many popular wavelets that adapt scale-by-scale, the proposed wavelet can adapt point-by-point. Experiment results show that the proposed method has advantages of both the Haar and CDF(2,2) wavelets and performs well for the smooth and edge-dominated regions. Moreover, the interval of the switch thresholding parameter of the proposed wavelet is given by experiments.
KW - Adaptive wavelet transform
KW - Lifting scheme
KW - Switch thresholding parameter
UR - http://www.scopus.com/inward/record.url?scp=10444220952&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:10444220952
SN - 0780384075
T3 - 2004 7th International Conference on Signal Processing Proceedings, ICSP
SP - 350
EP - 353
BT - 2004 7th International Conference on Signal Processing Proceedings, ICSP
T2 - 2004 7th International Conference on Signal Processing Proceedings, ICSP
Y2 - 31 August 2004 through 4 September 2004
ER -