Edge-preserving color image denoising through tensor voting

Computer Vision and Image Understanding

Volumn 115, Issue 11, 2011, Pages 1536-1551

  Moreno, Rodrigo ^a   Garcia, Miguel Angel ^c   Puig, Domenec ^b   Juli, Carme ^b  

^a LINKÖPING UNIVERSITY   (Sweden)

^b UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^c UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

CIEDE2000; CIELAB; Edge preservation; Image denoising; Perceptual grouping; Tensor voting

Indexed keywords

CIEDE2000; CIELAB; EDGE PRESERVATIONS; IMAGE DE-NOISING; PERCEPTUAL GROUPING; TENSOR VOTING;

CCD CAMERAS; COLOR; IMAGE PROCESSING; NOISE POLLUTION CONTROL; TENSORS;

EDGE DETECTION;

EID: 80052533840     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2011.07.005     Document Type: Article

References (53)

1. C. Liu, R. Szeliski, S.B. Kang, C. Zitnick, and W. Freeman Automatic estimation and removal of noise from a single image IEEE Trans. Pattern Anal. Mach. Intell. 30 2 2008 299 314
2. G. Guy, and G. Medioni Inference of surfaces, 3D curves and junctions from sparse, noisy 3D data IEEE Trans. Pattern Anal. Mach. Intell. 19 11 1997 1265 1277 (Pubitemid 127762317)
3. S. Mahamud, L.R. Williams, K.K. Thornber, and K. Xu Segmentation of multiple salient closed contours from real images IEEE Trans. Pattern Anal. Mach. Intell. 25 4 2003 433 444
4. J.S. Stahl, and S. Wang Globally optimal grouping for symmetric closed boundaries by combining boundary and region information IEEE Trans. Pattern Anal. Mach. Intell. 30 3 2008 395 411 (Pubitemid 351280048)
5. D.G. Lowe Perceptual Organization and Visual Recognition 1985 Kluwer Academic Publishers
6. L. Loss, G. Bebis, M. Nicolescu, and A. Skurikhin An iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds Comput. Vis. Image Underst. 113 1 2009 126 149
7. G. Medioni, M.S. Lee, and C.K. Tang A Computational Framework for Feature Extraction and Segmentation 2000 Elsevier Science
8. C.K. Tang, G. Medioni, and M.S. Lee N-dimensional tensor voting and application to epipolar geometry estimation IEEE Trans. Pattern Anal. Mach. Intell. 23 8 2001 829 844 (Pubitemid 32780011)
9. X.-F. Shao, L.-W. Ye, M.-J. Cai, Y. Wang, Simultaneous image denoising and curve extraction by tensor voting, in: Proc. Int. Symp. Comput. Sci. and Comput. Tech., 2008, pp. I: 536-538.
10. M. Nicolescu, and G. Medioni A voting-based computational framework for visual motion analysis and interpretation IEEE Trans. Pattern Anal. Mach. Intell. 27 5 2005 739 752 (Pubitemid 40608406)
11. C. Min, and G. Medioni Inferring segmented dense motion layers using 5D tensor voting IEEE Trans. Pattern Anal. Mach. Intell. 30 9 2008 1589 1602
12. R. Moreno, M. Garcia, D. Puig, L. Pizarro, B. Burgeth, J. Weickert, On improving the efficiency of tensor voting, IEEE Trans. Pattern Anal. Mach. Intell., doi:10.1109/TPAMI.2011.23.
13. R.C. Gonzalez, and R.E. Woods Digital Image Processing third ed. 2007 Prentice Hall, Inc.
14. C. Tomasi, R. Manduchi, Bilateral filtering for gray and color images, in: Proc. IEEE Int. Conf. Comput. Vis., 1998, pp. 839-846.
15. A. Buades, B. Coll, J.M. Morel, A non-local algorithm for image denoising, in: Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2005, pp. II: 60-65.
16. P. Perona, and J. Malik Scale-space and edge detection using anisotropic diffusion IEEE Trans. Pattern Anal. Mach. Intell. 12 7 1990 629 639 (Pubitemid 20726016)
17. S. Roth, M.J. Black, Fields of experts: a framework for learning image priors, in: Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2005, pp. II: 860-867.
18. D. TschumperlT Fast anisotropic smoothing of multi-valued images using curvature-preserving PDE's Int. J. Comput. Vis. 68 1 2006 65 82
19. O. Lezoray, A. Elmoataz, and S. Bougleux Graph regularization for color image processing Comput. Vis. Image Underst. 107 1-2 2007 38 55 (Pubitemid 46829945)
20. S.C. Zhu, and D. Mumford Prior learning and Gibbs reaction-diffusion IEEE Trans. Pattern Anal. Mach. Intell. 19 11 1997 1236 1250 (Pubitemid 127762315)
21. R. Lukac, K.N. Plataniotis, and A.N. Venetsanopoulos Color image denoising using evolutionary computation Int. J. Imag. Syst. Technol. 15 5 2006 236 251
22. D.L. Donoho, and I.M. Johnstone Ideal spatial adaptation by wavelet shrinkage Biometrika 81 3 1994 425 455
23. J. Portilla, V. Strela, M. Wainwright, and E. Simoncelli Image denoising using scale mixtures of Gaussians in the wavelet domain IEEE Trans. Image Process. 12 11 2003 1338 1351
24. M.M. Ichir, and A. Mohammad-Djafari Hidden markov models for wavelet-based blind source separation IEEE Trans. Image Process. 15 7 2006 1887 1899 (Pubitemid 43985069)
25. N.-X. Lian, V. Zagorodnov, and Y.-P. Tan Edge-preserving image denoising via optimal color space projection IEEE Trans. Image Process. 15 9 2006 2575 2587 (Pubitemid 44270199)
26. A. Tonazzini, L. Bedini, and E. Salerno A markov model for blind image separation by a mean-field EM algorithm IEEE Trans. Image Process. 15 2 2006 473 482 (Pubitemid 43126172)
27. H. Yu, L. Zhao, and H. Wang Image denoising using trivariate shrinkage filter in the wavelet domain and joint bilateral filter in the spatial domain IEEE Trans. Image Process. 18 10 2009 2364 2369
28. O. Ben-Shahar, and S.W. Zucker Hue geometry and horizontal connections Neural Netw. 17 5-6 2004 753 771 (Pubitemid 39118319)
29. V. Bruce, P.R. Green, and M.A. Georgeson Visual Perception: Physiology, Psychology and Ecology fourth ed. 2003 Psychology Press
30. E. Kang, G. Medioni, Color image segmentation based on tensor voting, in: Third Workshop Percept. Organ. Comput. Vis, 2001.
31. A. Massad, B.M., B. Mertsching, Application of the tensor voting technique for perceptual grouping to grey-level images, in: Proc. DAGM Symp. Pattern Recognit., Lect. Notes Comput. Sci. 2449, 2002, pp. 306-313.
32. J. Jia, and C.K. Tang Inference of segmented color and texture description by tensor voting IEEE Trans. Pattern Anal. Mach. Intell. 26 6 2004 771 786
33. Y.-W. Tai, W.-S. Tong, C.-K. Tang, Perceptually-inspired and edge-directed color image super-resolution, in: Proc. Conf. Comput. Vis. Pattern Recognit., 2006, pp. II: 1948-1955. (Pubitemid 44931554)
34. J. Lim, J. Park, and G. Medioni Text segmentation in color images using tensor voting Image Vis. Comput. 25 5 2007 671 685 (Pubitemid 46275170)
35. Y.-W. Tai, W.-S. Tong, C.-K. Tang, Simultaneous image denoising and compression by multiscale 2D tensor voting, in: Proc. Int. Conf. Pattern Recognit., 2006, pp. III: 818-821. (Pubitemid 46553246)
36. L. Rittner, F.C. Flores, and R.A. Lotufo A tensorial framework for color images Pattern Recognit. Lett. 31 4 2010 277 296
37. J. Wen, X. Gao, Y. Yuan, D. Tao, and J. Li Incremental tensor biased discriminant analysis: a new color-based visual tracking method Neurocomputing 73 4-6 2010 827 839
38. S. Bourennane, C. Fossati, and A. Cailly Improvement of classification for hyperspectral images based on tensor modeling IEEE Geosci. Remote Sens. Lett. 7 4 2010 801 805
39. D. Muti, and S. Bourennane Survey on tensor signal algebraic filtering Signal Process. 87 2 2007 237 249 (Pubitemid 44602251)
40. D. Tao, S. Maybank, W. Hu, X. Li, Stable third-order tensor representation for colour image classification, in: Proc. IEEE/WIC/ACM Int. Conf. Web Intell., 2005, pp. 641-644. (Pubitemid 44419133)
41. X. He, D. Cai, H. Liu, J. Han, Image clustering with tensor representation, in: Proc. ACM Int. Conf. Multimed., 2005, pp. 132-140.
42. M.D. Fairchild Color Appearance Models second ed. 2005 Wiley-IS&T
43. R.W.G. Hunt The Reproduction of Colour sixth ed. 2004 Wiley-IS&T
44. R.D. Gow, D. Renshaw, K. Findlater, L. Grant, S.J. McLeod, J. Hart, and R.L. Nicol A comprehensive tool for modeling CMOS image-sensor-noise performance IEEE Trans. Electron Dev. 54 6 2007 1321 1329 (Pubitemid 46876260)
45. G. Wyszecki, and W. Stiles Color Science: Concepts and Methods, Quantitative Data and Formulae second ed. 2000 John Wiley and Sons
46. M.R. Luo, G. Cui, and B. Rigg The development of the CIE 2000 colour-difference formula: CIEDE2000 Color Res. Appl. 26 5 2001 340 350 (Pubitemid 32820348)
47. R. Berns The science of digitizing paintings for color-accurate image archives: a review J. Imag. Sci. Technol. 45 4 2001 305 325 (Pubitemid 32774892)
48. R. Kuehni CIEDE2000, milestone or final answer? Color Res. Appl. 27 2 2002 126 128
49. R. Huertas, M. Melgosa, and E. Hita Influence of random-dot textures on perception of suprathreshold color differences J. Opt. Soc. Am. A 23 9 2006 2067 2076 (Pubitemid 44680110)
50. C.-H. Chou, K.-C. Liu, A fidelity metric for assessing visual quality of color images, in: Proc. Int. Conf. Comput. Commun. Netw., 2007, pp. 1154-1159. (Pubitemid 351403603)
51. C. Kervrann, and J. Boulanger Local adaptivity to variable smoothness for exemplar-based image regularization and representation Int. J. Comput. Vis. 79 1 2008 45 69
52. D. Martin, C. Fowlkes, D. Tal, J. Malik, A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics, in: Proc. IEEE Int. Conf. Comput. Vis., 2001, pp. II: 416-423. (Pubitemid 32795086)
53. Y. Tsin, V. Ramesh, T. Kanade, Statistical calibration of CCD imaging process, in: Proc. IEEE Int. Conf. Comput. Vis., 2001, pp. I: 480-487. (Pubitemid 32794992)