Non-local means theory based Perona-Malik model for image denosing

Neurocomputing

Volumn 120, Issue , 2013, Pages 262-267

  Yang, Min ^a   Liang, Jingkun ^b   Zhang, Jianhai ^c   Gao, Haidong ^a   Meng, Fanyong ^d   Xingdong, Li ^e   Song, Sung Jin ^c  

^a BEIHANG UNIVERSITY   (China)

^b Shijiazhuang Vocational Technology Institute   (China)

^c Sungkyunkwan University   (South Korea)

^d INSTITUTE OF PROCESS ENGINEERING   (China)

^e NATIONAL INSTITUTE OF METROLOGY   (China)

Author keywords

Image denoising; Non local means; Partial Differential Equation; Texture detection

Indexed keywords

ANISOTROPIC DIFFUSION; ANISOTROPIC DIFFUSION MODEL; EDGE ENHANCEMENTS; IMAGE DENOISING METHODS; NON-LOCAL MEANS; PERONA-MALIK MODELS; QUANTITATIVE ANALYZING; TEXTURE DETECTION;

ALGORITHMS; DIFFUSION; IMAGE DENOISING; OPTICAL ANISOTROPY; PARTIAL DIFFERENTIAL EQUATIONS; PIXELS; TEXTURES;

IMAGE TEXTURE;

ARTICLE; CONTROLLED STUDY; IMAGE ANALYSIS; IMAGE DENOISING; IMAGE DISPLAY; IMAGE PROCESSING; IMAGING AND DISPLAY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIGNAL NOISE RATIO;

EID: 84882848186     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.08.063     Document Type: Article

References (30)

1. Portilla J., Strela V., Wainwright M., Simoncelli E.P. Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE Trans. Image Proc. 2003, 12:1338-1351.
2. Bertalmio M., Caselles V., Pardo A. Movie denoising by average of warped lines. IEEE Transactions on Image Processing 2007, 16:2333-2347.
3. Stefan K., Stanley O., Peter W.J. Deblurring and denoising of images by nonlocal functionals. Multiscale Modeling Simulation 2005, 4:1091-1115.
4. Stefan S., Bruno H., Etienne K., Wilfried E.P. A New fuzzy-based wavelet shrinkage image denoising technique. Proc. ACIVS 2006, 4179:12-23.
5. Ehsan N. PDEs-Based Method for Image Enhancement. Appl. Math. Sci. 2008, 2:981-993.
6. Pang Y., Yuan Y., Wang K. Learning optimal spatial filters by discriminant analysis for brain-computer-interface. Neurocomputing 2012, 77:20-27.
7. Pang Y., Hao Q., Yuan Y., Hu T., Cai R., Zhang L. Summarizing tourist destinations by mining user-generated travelogues and photos. Comput. Vision Image Understanding 2011, 115:352-363.
8. Pang Y., Yuan Y., Li X., Pan J. Efficient HOG human detection. Signal Process. 2011, 91:773-781.
9. Arivazhagan S., Deivalakshmi S., Kannan K. Performance analysis of image denoising system for different levels of wavelet decomposition. Int. J. Imaging Sci. Eng. 2007, 1:104-107.
10. Buades A., Coll B., Morel J.M. A review of image denoising algorithms. Multiscale Model Simul. 2005, 4:490-530.
11. Chinna Rao B., Madhavi Latha M. Analysis of multi resolution image denoising scheme using fractal transform. Int. J. Multimedia Appl. 2010, 2:63-74.
12. H.K. Woong, T. Sikora, Image denoising method using diffusion equation and edge map estimated with k-means clustering algorithm, in: Proceedings of the Workshop on Image Analysis for Multimedia Interactive Services, 2007, pp. 21-21.
13. lvaro Pardo Á. Analysis of non local image denoising methods, progress in pattern recognition, image analysis computer vision, and applications. Lect. Notes Comput. Sci. 2009, 5856:103-110.
14. Pang Y., Li X., Yuan Y. Robust tensor analysis with L1-norm. IEEE Trans. Circuits Syst. Video Technol. 2010, 20:172-178.
15. Pang Y., Li X., Yuan Y., Tao D., Pan J. Fast Haar transform based feature extraction for face representation and recognition. IEEE Trans. Inf. Forensics Secur. 2009, 4:441-450.
16. Pang Y., Yuan Y., Li X. Gabor-based region covariance matrices for face recognition. IEEE Trans. Circuits Syst. Video Technol. 2008, 18:989-993.
17. Diewald U., Preusser T., Rumpf M. Anisotropic diffusion in vector field visualization on euclidian domains and surface. IEEE Trans.Visualization Comput. Graphics 2000, 6:139-149.
18. Jeny R., Kannan K., Kaimal M.R. An improved hybrid model for molecular image denoising. J. Math. Imaging Vision 2008, 31:73-79.
19. Catté Francine, Lions Pierre-Louis, Morel Jean-Michel, Coll Tomeu Image selective smoothing and edge detection by nonlinear diffusion. Soc. industrial and Appl. Math. J. Numer. Anal. 1992, 29:182-193.
20. Perona P., Malik J. Scale space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 1990, 12:629-639.
21. Whitaker R., Pizer S.M. A multiscale approach to nonuniform diffusion. CVGIP: Image Understanding 1993, 57:111-120.
22. Fischl B., Schwartz E. Adaptive nonlocal filtering: a fast alternative to anisotropic diffusion for image enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 1999, 21:42-49.
23. J.Y. Wu, Q.Q. Ruan, Combining adaptive PDE and wavelet shrinkage in image denoising with edge enhancing property, in: Proceedings of the 18th International Conference on Pattern Recognition, vol. 3, 2006, pp. 718-721.
24. Selim E. An Analysis of the Perona-Malik Scheme. Commun. Pure Appl. Math. 2001, 54:1442-1487.
25. Shih Y., Rei C., Wang.H. A novel PDE based image restoration: convection-diffusion equation for image denoising. J. Comput. Appl. Math. 2009, 231:771-779.
26. Antoni B., Bartomeu C., Jean-Michel M., Image Nonlocal, Denoising Movie Int. J. Comput. Vision 2008, 76:123-139.
27. Bart, Goossens Hiêp, Luong Aleksandra, PižuricaWilfried Philips An Improved non-local denoising algorithm, in: Proceedings of the International Workshop on Local and Non-Local Approximation in Image Processing, vol. C1, 2008, pp. 146-156.
28. A. Buades, B. Coll, J.M. Morel, A non-local algorithm for image denoising, in: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, Spain, 2005, pp. 60-65.
29. Yang M., Yang Y.M., Wei D.B. A new 3D information acquisition method of micro-drilling marks on ancient perforated stone bead through micro-CT. J. X-Ray Sci. Technol. 2011, 19:333-343.
30. Wang Z., Bovik A.C., Sheikh H.R., Simoncelli E.P. Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 2004, 13:600-612.