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Correspondence Between Multiscale Frame Shrinkage and High-Order Nonlinear Diffusion

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Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 275))

Abstract

Wavelet frame and nonlinear diffusion filters are two popular tools for signal denoising. The correspondence between Ron-Shen’s framelet and high-order nonlinear diffusion has been proved at multilevel setting. However, for the general framelet, the correspondence is established only at one level. In this paper we extend the relationship between framelet shrinkage and high-order nonlinear diffusion in Jiang (Appl Numerical Math 51–66, 2012 [19]) from one level framelet shrinkage to the multilevel framelet shrinkage setting. Subsequently, we complete the correspondence between framelet shrinkage and high-order nonlinear diffusion. Furthermore, we propose a framelet-diffused denoising method for processing the dynamic pressure signals which are generated by a transonic axial compressor. Numerical results show that our algorithm has superior noise removal ability than traditional algorithms and presents the ability in analyzing the pressure signals from an axial transonic compressor.

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References

  1. Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D 60, 259–268 (1992)

    Article  MathSciNet  Google Scholar 

  2. Catte, F., Lions, P., Morel, J., Coll, T.: Image selective smoothing and edge detection by nonlinear diffusion. SIAM J. Numer. Anal. 29, 182–193 (1992)

    Article  MathSciNet  Google Scholar 

  3. Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12, 629–639 (1990)

    Article  Google Scholar 

  4. Wei, G.W.: Generalized perona-malik equation for image restoration. IEEE Signal Process. Lett. 6(7), 165–167 (2002)

    Article  Google Scholar 

  5. Bates, P.W., Chen, Z., Sun, Y., et al. Geometric and potential driving formation and evolution of biomolecular surfaces. J. Math. Biol. 59(2), 193–231 (2009)

    Article  MathSciNet  Google Scholar 

  6. Chambolle, A., DeVore, R.A., Lee, N., Lucier, B.L.: Nonlinear wavelet image processing: variationa problems, compression and noise removal through wavelet shrinkage. IEEE Trans. Image Process., 319–335 (1998)

    Article  MathSciNet  Google Scholar 

  7. Catte, F., L.Lions, P., Morel, J.M., Coll, T.: Image selective smoothing and edge detection by nonlinear diffusion. SIAM J. Numer. Anal., 845–866 (1992)

    Google Scholar 

  8. Donoho, D.: De-noising by soft thresholding. IEEE Trans. Inf. Theor., 613–627 (1995)

    Article  MathSciNet  Google Scholar 

  9. Mallat, S.: A Wavelet Tour of Signal Processing, 2nd edn. Academic Press, San Diego (1999)

    MATH  Google Scholar 

  10. Keeling, S.L., Stollberger, R.: Nonlinear anisotropic diffusion filtering for multi scale edge enhancement wide range edge. Inverse Probl., 175–190 (2002)

    Google Scholar 

  11. Coifman, R.R., Donoho, D.: Translation-invariant de-noising. In: Wavelets and Statistics. Springer Lecture Notes in Statistics, pp. 125–150 (1994)

    Chapter  Google Scholar 

  12. Weickert, J.: Anisotropic diffusion in image processing. B.g. teubner Stuttgart, p. 272 (1998)

    Google Scholar 

  13. Didas, S., Denoising: Enhancement of digital imagesvariational methods, Integro differential Equations, and Wavelets, Ph.D. Dissertation, Saarland University (2008)

    Google Scholar 

  14. Cai, J., Chan, R., Shen, Z.: Simultaneous cartoon and texture inpainting. Inverse Proble. Imaging 4, 379–395 (2010)

    Article  MathSciNet  Google Scholar 

  15. Didas, S., Weickert, J., Burgeth, B.: Properties of higher order nonlinear diffusion filtering. J. Math. Imaging Vis., 208–226 (2009)

    Article  MathSciNet  Google Scholar 

  16. Steidl, G., Weickert, J., Brox, T., Mrazek, P.: On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation reguarization, and sides. SIJM J. Numer. Anal., 683–713 (2004)

    Google Scholar 

  17. Plonka, G., Steidl, G.: A multiscale wavelet-inspired scheme for nonlinear diffusion. Int. J. Wavelets, Multiresolution Inf. Process., 1–21 (2006)

    Article  MathSciNet  Google Scholar 

  18. Wang, H., Kong, X.: A multiscale tight frame inspired scheme for nonlinear diffusion. Int. J. Wavelets, Multiresolution Inf. Process., 1250041-1-1250041-22 (2012)

    Google Scholar 

  19. Jiang, Q.: Correspondence between frame shrinkage and high-order nonlinear diffusion. Appl. Numerical Math., 51–66 (2012)

    Article  MathSciNet  Google Scholar 

  20. Mrazek, P., Weickert, J., Steidl, G.: Diffusion-inspired shrinkage function and stability results for wavelet denoising. Int. J. Comput. Vis., 171–186 (2005)

    Article  Google Scholar 

  21. Mrazek, P., Weickert, J., Steidl, G.: Correspondences between wavelet shrinkage and nonlinear diffusion. In: Proceedings of the Scale Space Methods in Computer Vision, International Conference, Scale-Space 2003, Isle of Skye, Uk, June 10–12, 2003, pp. 101–116 (2003)

    Chapter  Google Scholar 

  22. Cai, J., Dong, B., Osher, S., Shen, Z.: Image restorations: total variation, wavelet frames and beyond. J. Am. Math. Soc. 25, 1033–1089 (2012)

    Article  MathSciNet  Google Scholar 

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Acknowledgement

The author would like to thank Professor Charles K. Chui for helpful discussions on the correspondence between wavelet shrinkage and diffusion filtering. Thanks to Dr. Qun Mo for some detailed and careful comments.

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Correspondence to Haihui Wang .

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Wang, H., Huang, Q., Meng, B. (2019). Correspondence Between Multiscale Frame Shrinkage and High-Order Nonlinear Diffusion. In: Delgado, J., Ruzhansky, M. (eds) Analysis and Partial Differential Equations: Perspectives from Developing Countries. Springer Proceedings in Mathematics & Statistics, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-05657-5_10

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