NDLI: Wavelet Lifting for Speckle Noise Reduction in Ultrasound Images

Content Provider	IEEE Xplore Digital Library
Author	Yuan Chen Raheja, A.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., California State Polytech Univ., Pomona, CA (Yuan Chen; Raheja, A.)
Abstract	In this paper, a wavelet domain method for speckle noise filtering is presented. It uses non-decimated wavelet transform and generalized cross validation thresholding technique. The spatial correlation of ultrasound speckle noise is broken by multiresolution analysis. Level dependent thresholding removes noise in the wavelet domain based on automatic estimation of noise energy in each subband. The efficacy of this filter is demonstrated on both simulated and real medical ultrasound images. The result is shown to be promising and outperforms other de-noising approaches. A single adjustable parameter can be used by medical experts to balance the relevant image feature preservation and the speckle noise suppression. Lifting scheme as a way of constructing new biorthogonal wavelets based on existing wavelet as well as a way of performing wavelet transform is studied in this research to improve the performance of wavelet de-noising
Starting Page	3129
Ending Page	3132
File Size	563969
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1617138
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speckle Noise reduction Ultrasonic imaging Wavelet domain Wavelet transforms Noise level Biomedical imaging Filtering Multiresolution analysis Filters wavelet lifting Generalized Cross Validation anisotropic diffusion noise reduction
Content Type	Text
Resource Type	Article

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