Adaptive speckle reduction algorithm of ultrasound image in Contourlet domain

Guangdianzi Jiguang/Journal of Optoelectronics Laser

Volumn 19, Issue 5, 2008, Pages 696-699

  Jin, Wei ^a   Yin, Cao Qian ^a  

^a NINGBO UNIVERSITY   (China)

Author keywords

Contourlet transform; Speckle reduction; Ultrasonic image; Variance homogeneity measurement (VHM)

Indexed keywords

CALCULATIONS; MATHEMATICAL TRANSFORMATIONS; SPECKLE; ULTRASONIC IMAGING;

CONTOURLET TRANSFORM; SPECKLE REDUCTION; ULTRASONIC IMAGE; ULTRASOUND IMAGES; VARIANCE HOMOGENEITY MEASUREMENT (VHM);

IMAGE PROCESSING;

EID: 44849117475     PISSN: 10050086     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Loupas T, Mcdicken W N, Allan P L. An adaptive weighted median filter for speckle suppression in medical ultrasonic images[J], IEEE Trans on circuits syst, 1989, 36(1): 129-135.
2. Stephen Mallat. A wavelet tour guide of signal processing[M]. San Diego: Academic Press, 1999. 80-150.
3. Alin Achim, Anastasios Bezerianos, Panagiotis Tsakalides. Novel bayesian multiscale method for speckle removal in medical ultrasound images[J]. IEEE Trans on Medical Imaging, 2001, 20(8): 42-49.
4. ZHANG Qiang. GUO Bao-long. Fusion of multisensor images based on the curvelet transform[J]. Journal of Optoelectronics·Laser, 2006, 17(9): 1123-1127.(in Chinese)
5. HUANG Mao-yu, Huang Yuen-Min, WANG Ming-shi. Speckle reduction of ultrasound image based on contourlet transform[A]. Int Computer Symposium[C]. 2004, 178-182.
6. Minh N D, Vetterli M. Contourlets: A directional multiresolution image representation[A]. IEEE Int Conf on Image Processing[C]. 2002, 357-360.
7. Minh N D. Directional multiresolution image representations[D]. Switzerland: Swiss Federal Institute of Technology, 2001.
8. WANG Wen-bo, YI Xu-ming, FEI Pu-sheng. An image denoising method based on the relativity of the curvelet coefficients[J]. Journal of Optoelectronics·Laser, 2006, 17(12): 1519-1523.(in Chinese)
9. Chen G Y, Bui T D, Krzyzak A. Image denoising using neighbouring wavelet coefficients[J]. Integrated Computer-Aided Engineering, 2005, 12(1): 99-107.