Image denoising using trivariate shrinkage filter in the wavelet domain and joint bilateral filter in the spatial domain

IEEE Transactions on Image Processing

Volumn 18, Issue 10, 2009, Pages 2364-2369

  Yu, Hancheng ^a,b   Zhao, Li ^a   Wang, Haixian ^c  

^a SOUTHEAST UNIVERSITY   (China)

^b NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^c Southeast University   (China)

Author keywords

Image denoising; Joint bilateral filter; Spatial domain; Trivariate shrinkage filter; Wavelet domain

Indexed keywords

IMAGE DENOISING; JOINT BILATERAL FILTER; SPATIAL DOMAIN; TRIVARIATE SHRINKAGE FILTER; WAVELET DOMAIN;

ALGORITHMS; COMPUTATIONAL EFFICIENCY; GAUSSIAN NOISE (ELECTRONIC); IMAGE PROCESSING; SHRINKAGE; WAVELET TRANSFORMS;

EDGE DETECTION;

ALGORITHM; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; LETTER; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 70349472588     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2026685     Document Type: Article

References (25)

1. D. L. Donoho and I. M. Johnstone, "Adapting to unknown smoothness via wavelet shrinkage," J. Amer. Statist. Assoc., vol. 90, ho. 432, pp. 1200-1224, Dec. 1995.
2. M. K. Miliçak, I. Kozinsev, K. Ramchandran, and, P. Moulin, "Low- complexity image denoising based on statistical modeling of wavelet coefficients," IEEE Signal Process. Lett, vol. 7, no. 6,pp. 300-303, Jun. 1999.
3. P. L. Shui, "Image. denoising algorito via doubly local Wiener filtering with directional windows in wavelet domain," IEEE Signal Process. Lett, vol. 12, no. 10, pp, 681-684, Oct. 2005.
4. L. Sendur and I. W. Selesnick, "Bivariate shrinkage functions for wavelet-based denoising epxploiting interscale dependency," IEEE Trans. Signal Process., vol. 50, no. 11, pp 2744-386+, Nov. 2002.
5. L. Sendur and I. W. Selesnick, "Bivariate shrinkage with local variance estimation," IEEE Signal Process. Lett, vol. 9, no. 12, pp. 438-441, Dec, 2002.
6. J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli, "Image denoising using scale mixtures of gaussians in the wavelet domain," IEEE Trans. Image Process, vol. 12, no. 11, pp: 1338-1351, Nov. 2003.
7. C. Stein, "Estimation of the mean of a multivariate normal distribution," Ann. Statist., vol. 9, pp. 1135-1151, 1981.
8. F. Luisier, T. Blu, and M. Unser, "A new SURE approach to image denoising: Interscale ortonormal wavelet thresholding," IEEE Trans. Image Process., vol. 16, no. 3, pp. 593-606, Mar. 2007.
9. I. W. Selesnick, "The double density DWT," in Wavelets in Signal and Image Analysis: From Theory to Practice, A. Petrosian and F. G. Meyer, Eds. Boston, MA: Kluwer, 2001.
10. W. T. Freeman and E. H. Adelson, "The design and use of steerable filters," IEEE Pattern Anal. Mach. Intell., vol. 13, no. 10, pp. 891-906, Sep. 1991.
11. N. G. Kingsbury, "Image processing with complex wavelets," Phil. Trans. Roy. Soc. Lond. A, pp. 2543-2560, Sep. 1999.
12. N. G. Kingsbury, "Complex wavelets for shift invariant analysis and filtering of signals," Appl. Compt. Harmon. Anal., pp. 234-253, May 2001.
13. K. Hirakawa and T. W. Parks, "Image denoising using total least-squares," IEEE Trans. Image Process., vol. 15, no. 9, pp. 2730-2742, Sep. 2006.
14. H. Takeda, S. Farsiu, and P. Milanfar, "Kernel regression for image processing and reconstruction," IEEE Trans. Image Process., vol. 16, no. 2, pp. 349-366, Feb. 2007.
15. S. P. Awate and R. T. Whitaker, "Unsupervised, information-theoretic, adaptive image filtering for image restoration," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 3, pp. 364-376, Mar. 2006.
16. C. Kervrann and J. Boulanger, "Optimal spatial adaptation for patch-based image denoising," IEEE Trans. Image Process., vol. 15, no. 10, pp, 2866-2878, Oct. 2006.
17. M. Elao and M. Aharon. "Image denoising via learned dictionaries and sparse representation," IEEE Comput. Vis. Pattern Recognit., Jun. 2006.
18. M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," IEEE Trans. Image Process., vol. 15, no. 12, pp. 3736-3745, Dec. 2006.
19. K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3D transform-domain collaborative filtering," IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, Aug. 2007.
20. C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images," in Proc. Int. Conf. Computer Vision, 1998, pp. 839-846.
21. G. Petschnigg et al., "Digital photography with flash and no-flash image pairs," in Proc. SIGGRAPH, pp. 664-672.
22. M. Elad, "On the bilateral filter and ways to improve it," IEEE Trans. Image Process., vol, 11, no. 10, pp. 1141-1151, Oct. 2002.
23. J. Mairal, M. Elad, and G. Sapiro, "Sparse representation for color image restoration," IEEE Trans. Image Process., vol. 17, no. 1, pp. 53-69, Jan. 2008.
24. F. Luisier and T. Blu, "SURE-LET multichannel image denoising: Interscale orthonormal wavelet thresholding," IEEE Trans. Image Process., vol. 17, no. 4, pp. 482-492, Apr. 2008.
25. A. Pižurica and W. Philips, "Estimating the probability of the presence of a signal of interest in multiteresolution single- and multiband image denoising,: IEEE Trans. Image Process., vol. 5, no. 3, pp. 645-665, Mar. 2006.