Adaptive algorithm for image denoising based on correlation properties of contourlet coefficients

Guangxue Xuebao/Acta Optica Sinica

Volumn 29, Issue 2, 2009, Pages 357-361

  Yang, Fan ^a   Zhao, Ruizhen ^a   Hu, Shaohai ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Adaptive threshold; Contourlet transform; Correlation denoising; Image processing

Indexed keywords

CORRELATION METHODS; EDGE DETECTION; IMAGE PROCESSING; IMAGING SYSTEMS;

ADAPTIVE THRESHOLD; ADAPTIVE THRESHOLDING; CONTOURLET; CONTOURLET COEFFICIENTS; CONTOURLET TRANSFORM; CORRELATION DENOISING; CORRELATION PROPERTIES; IMAGE DE-NOISING; REMOVE NOISE; SCALE CORRELATIONS; STRONG CORRELATIONS;

ADAPTIVE ALGORITHMS;

EID: 61649095660     PISSN: 02532239     EISSN: None     Source Type: Journal    
DOI: 10.3788/AOS20092902.0357     Document Type: Article

References (13)

1. Jiao Licheng, Tan Shan. Development and prospect of image multiscale geometric analysis [J]. Acta Electronica Sinica, 2003, 31(12A): 43-50
2. Do M N. Directional multiresolution image representations [D]. Swiss Federal Institute of Technology, Lausanne, Switzerland, December 2001
3. Do M N, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation [J]. IEEE Trans. Image Processing, 2005, 14(12): 2091-2106
4. Tan Yihua, Tian Jinwen, Liu Jian. Adaptively wavelet-based image denoising algorithm with edge preserving [J]. Chin. Opt. Lett., 2006, 4(2): 80-83
5. Eslami R, Radha H. Translation-invariant contourlet transform and its application to image denoising [J]. IEEE Trans. on Image Processing, 2006, 15(11): 3362-3374
6. Zhang Jingjing, Fang Yonghua. Novel denoising method for remote sensing image based on contourlet transform [J]. Acta Optica Sinica, 2008, 28(3): 462-466
7. Dai Wei, Yu Shenglin, Sun Shuan. Image de-noising algorithm using adaptive threshold based on contourlet transform [J]. Acta Electronica Sinica, 2007, 35(10): 1939-1943
8. Cai T T, Silverman B W. Incorporating information on neighbouring coefficients into wavelet estimation [J]. The Indian Journal of Statistics, 2001, 63(B): 127-148
9. Chen G Y, Bui T D, Krzyzak A. Image denoising using neighboring wavelet coefficients [C]. International Conference on Acoustics, Speech, and Signal Processing, 2004, II: 917-920
10. Zhao Ruizhen, Hu Zhanyi. Wavelet NeighShrink method for grid texture removal in image of solar radio bursts [J]. Spectroscopy and Spectral Analysis, 2007, 27(1): 198-201
11. Xu Y, Weaver J, Healy M. Wavelet transform domain filters: a spatially selective noise filtration technique [J]. IEEE Trans. Image Processing, 1999, 3(6): 747-758
12. Po D D.-Y., Do M N. Directional multiscale modeling of images using the contourlet transform [J]. IEEE Trans. Image Processing, 2006, 15(6): 1610-1620
13. Zeng Guoping, Zhao Ruizhen. Image denoising using least squares wavelet support vector machines [J]. Chin. Opt. Lett., 2007, 5(11): 632-635