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PDE Based Unsharp Masking, Crispening and High Boost Filtering of Digital Images

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Contemporary Computing (IC3 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 40))

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Abstract

A partial differential equation (PDE) based technique is proposed and implemented to perform unsharp masking, crispening and high boost filtering of digital images. The traditional concept of unsharp masking and crispening of edges which uses Laplacian as intermediate step for smoothening the image has been extended and modified using the idea of Perona and Malik [1] which overcomes the disadvantages of Laplacian method. For descretization, finite differences scheme has been used. The scheme has been implemented using MATLAB 7.0 and performance is tested for various gray images of different resolutions and the obtained results justify the applicability of proposed scheme.

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References

  1. Perona, P., Malik, J.: Scale space and edge detection using anisotropic diffusion. IEEE transactions on Pattern Analysis and Machine Intelligence 12, 629–639 (1990)

    Article  Google Scholar 

  2. Gonzalez, R.C., Wintz, P.: Digital Image Processing, 2nd edn. Academic Press, New York (1987)

    Google Scholar 

  3. Jain, A.K.: Fundamentals of Digital Image Processing. PHI (2005)

    Google Scholar 

  4. Sonka, M., et al.: Image Processing, Analysis and Machine Vision, 2nd edn. PWS Publishing (2007)

    Google Scholar 

  5. Caselles, V., Morel, J., Sapiro, et al: Introduction to the special issue on partial differential equations and geometry driven diffusions in image processing. IEEE transactions on image processing 7(3) (March 1998)

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  6. Witkin, A.P.: Scale space filtering. In: Proc. Int. Joint Conf. on Artificial Intelligence, Germany, pp. 1019–1023 (1983)

    Google Scholar 

  7. McOwen, R.C.: Partial Differential Equations-Methods and Applications, 2nd edn. Pearson Education, London (2005)

    Google Scholar 

  8. Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press (1992) ISBN 0-521-43108-5

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© 2009 Springer-Verlag Berlin Heidelberg

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Srivastava, R., Gupta, J.R.P., Parthasarthy, H., Srivastava, S. (2009). PDE Based Unsharp Masking, Crispening and High Boost Filtering of Digital Images. In: Ranka, S., et al. Contemporary Computing. IC3 2009. Communications in Computer and Information Science, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03547-0_2

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  • DOI: https://doi.org/10.1007/978-3-642-03547-0_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03546-3

  • Online ISBN: 978-3-642-03547-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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