[KSCI] Korea Science Citation Index Service

Ventricle Image Restoration and Enhancement with Multi-thresholding and Multi-Filtering

Ryu, Kwang-Ryol (Department of Electronic Engineering, Mokwon University)
Jung, Eun-Suk (Department of Electronic Engineering, Mokwon University)

Publication Information

Journal of information and communication convergence engineering / v.7, no.2, 2009 , pp. 231-234 More about this Journal

Abstract

Speckle noise reduction for power Doppler ventricle coherent image for restoration and enhancement using Fast Wavelet Transform with multi-thresholding and multi-filtering on the each subbands is presented. Fast Wavelet Transform divides into low frequency component image to high frequency component image to be multi-resolved. Speckle noise is located on high frequency component in multi-resolution image mainly. A Doppler ventricle image is transformed and inversed with separated threshold function and filtering from low to high resolved images for restoration to utilize visualization for ventricle diagnosis. The experimental result shows that the proposed method has better performance in comparison with the conventional method.

Keywords

Speckle reduction; Multi-thresholding; Multi-filtering; Doppler ventricle image; Fast Wavelet Transform; Image restoration and enhancement;

Citations & Related Records

Reference

1	A. Renster and A. B. Downey, "3D-ultrasound imaging: A Review:, IEEE Engineering in Medicime and Biology Magazine, vol 15, pp.41-51, Nev-Dec. 1996 DOI ScienceOn
2	B. Burckhardt. "Speckle in ultrasound B-mode scans", IEEE Trans. on Sonics and Ultrasonics. vol. 1, pp.1-6, Jan. 1978
3	J.S. Lee. "A simple speckle smoothing algorithm for synthetic aperture radar images, IEEE Trans. on system, man, and, cybernetics, vol. 1, pp.85-89, Feb.1983
4	Vinayak Dutt, "Statistical Analysis of Ultrasound Envelope", PH.D. dissertation, Mayo Graduate School, 1995
5	T. Loupas, "An Adaptive Weighted Median Filter for Speckle Suppression in Median Ultrasonic Image", IEEE Trans. Circuits Syst. vol. 36, no. 1, Jan,1989 DOI ScienceOn
6	T. R. Nelson and T .T. Elvins, "Visualization of 3D ultrasound data", IEEE Computer Graphics and Applications, vol. 13, pp. 50-57,Nov.1993 DOI ScienceOn
7	A. Macovski, Medical Imaging systems Prentice Hall. 1983
8	Z. H. Cho, J, P. Jones, and M. Sin, Foundation of Medical Image, John Wiley & Sons, 1994
9	Ali-Li Wang, et aI, "Simultaneous Speckle Reduction and SAR Image compression using Multiwavelet Transform", J. Electronic Science and Tech. of China, vol.5 no.2, pp.163-166, Jun. 2007
10	Rafael C. Gonzalez and Richard E. Woods, Digital image Processing, Prentice-Hall, 2002