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Original Article

Improving performance of wavelet-based image de-noising algorithm using complex diffusion process

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Pages 208-218 | Accepted 23 May 2011, Published online: 12 Nov 2013

REFERENCES

  • Bouzari H. An improved regularization method for artifact rejection in image super-resolution. Signal Image and Video Process., 2011, to be published.
  • Nikpour M, Hassanpour H. Using diffusion equations for improving performance of wavelet-based image denoising techniques. IET Image Process., 2010, 4, 452–462.
  • Chao S.-M, Tsai D-M. Astronomical image restoration using an improved anisotropic diffusion. Patt. Recogn. Lett., 2006, 27, 335–344.
  • Chang SG, Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression. IEEE Trans. Image Process., 2000, 9, 1532–1545.
  • Donoho DL, Jonstone IM. Ideal spatial adaptation via wavelet shrinkage. Biometrika, 1994, 81, 425–455.
  • Azzabou N, Paragios N, Guichard F. In Scale Space And Variational Methods in Computer Vision, 2007, pp. 418–429 (Springer-Verlag, Berlin/Heidelberg).
  • Nadernejad E, Hassanpour H, Miar H. Image restoration using a PDE-based approach. IJE Trans. B: Applications, 2007, 20, 225–236.
  • Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion, Proc. IEEE Computer Society Workshop on Computer vision, Miami Beach, FL, USA, November–December 1987, IEEE Computer Society, pp. 16–27.
  • Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Patt. Anal. Mach. Intell., 1990, 12, 629–639.
  • Weeratunga SK, Kamath C. PDE-based nonlinear diffusion techniques for denoising scientific/industrial images: an empirical study. Proc. SPIE, 2002, 4667, 279–290.
  • Hassanpour H, Nadernejad E, Miar H. Image enhancement using diffusion equations, Proc. 9th Int. Symp. on Signal processing and its applications: ISSPA 2007, Sharjah, UAE, February 2007, IEEE.
  • Nadernejad E, Hassanpour H. A comparison and analysis of different PDE-based approaches for image enhancement, Proc. Int. Conf. on Signal processing and communication systems: ICSPCS 2007, Gold Coast, Australia, December 2007.
  • Luo HG, Zhu LM, Ding H. Coupled anisotropic diffusion for image selective smoothing. Elsevier Signal Process., 2006, 86, 1728–1736.
  • Gilboa G, Sochen N, Zeevi YY. Image enhancement and denoising by complex diffusion processes. IEEE Trans. Patt. Anal. Mach. Intell., 2004, 26, 1020–1036.
  • Kostin MD. Schrodinger–Fuerth quantum diffusion theory: generalized complex diffusion equation. J. Math. Phys., 1992, 33, 111.
  • Donoho L. Denoising by soft thresholding. IEEE Trans. Inf. Theory, 1995, 41, 933–936.
  • Chang SG, Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression. IEEE Trans. Image Process., 2000, 9, 1532–1546.
  • Donoho DL, Johnstone IM, Kerkyachrian G, Picard D. Wavelet shrinkage: asymptopia?. J. R. Stat. Soc., Ser. B, 1995, 57, 301–369.
  • Lang M, Gio H, Odegard JE. Noise reduction using undecimated discrete wavelet transform. IEEE Signal Process. Lett., 1995, 3, 10–12.
  • Jansen M. Noise Reduction by Wavelet Thresholding, 2001 (Springer, New York).
  • Gupta S, Kaur L. Wavelet based image compression using Daubechies filters, Proc. 8th Natl Conf. on Communications: NCC 2002, Bombay, India, January 2002, IIT.
  • Buades A, Coll B, Morel JM. A review of image denoising algorithms, with a new one. Multiscale Model. Simul., 2005, 4, 490–530.
  • Buades A, Coll B, Morel JM. A non-local algorithm for image denoising, Proc. IEEE Int. Conf. on Computer vision and pattern recognition: CVPR 2005, San Diego, CA, USA, June 2005, IEEE Computer Society, Vol. 2, pp. 60–65.
  • Smigiel E, Alby E, Grussenmeyer P. Terrestrial laser scanner data denoising by range image processing for small-sized objects, Proc. XXIth ISPRS Cong., Beijing, China, July 2008, ISPRS.
  • Catte F, Coll T, Lions P, Morel J. Image selective smoothing and edge detection by nonlinear diffusion. SIAM J. Appl. Math., 1992, 29, 182–193.
  • Pratt WK. Digital Image Processing, 2001 (Wiley, New York).
  • Yang Z, Fox MD. Speckle reduction and structure enhancement by multichannel median boosted anisotropic diffusion. EURASIP J. Appl. Signal Process., 2004, 16, 2492–2502.
  • Wang Z, Bovik AC. A universal image quality index. IEEE Signal Process. Lett., 2002, 9, 81–84.
  • Gonzalez RC, Woods RE. Image Databases [online]. Available at: <http://www.imageprocessingplace.com>
  • Zhai J.-H, Zhang S-F. Image denoising via wavelet threshold: single wavelet and multiple wavelets transform, Proc. 4th Int. Conf. on Machine learning and cybernetics: ICMLC 2005, Guangzhou, China, August 2005, IEEE.

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