Image quality based comparative evaluation of wavelet filters in ultrasound speckle reduction

Author:

Thakur Ashish,Anand R.S.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference13 articles.

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2. Speckle in ultrasound B-mode scans;Burkhadi;IEEE Trans. Sonics Ultrasonic,1978

3. A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing;Hao;IEEE Trans. Med. Imag.,1999

4. N. Hiransakolwong, K.A. Hua, K. Vu, P.S. Windyga, Segmentation of ultrasound liver images: An automatic approach, in: IEEE Multimedia and Expo, 2003 ICME Proceedings, 2003 International Conference, vol. 1, 6–9 July, 2003, pp. 573–576

5. G. Stippel, W. Philips, I. Lemahieu, A new denoising technique for ultrasound images using morphological properties of speckle combined with tissue classifying parameters, in: SPIE Medical Imaging 2002 Conference Proceedings, vol. 4687, February 2002, pp. 324–333

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