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Image Enhancement and Denoising by Forward-and-Backward Fourth Order Partial Differential Equations

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 217))

Abstract

In this paper, a forward and backward (FB) fourth order PDEs is presented to denosing and enhancement image simultaneously. The new FB fourth order PDEs preserves the advantage of YK model and avoids leaving isolated black and white speckles. Moreover, the new model preserves fine details, sharp corners, curved structures and thin lines. Experiment results show the effectiveness of the proposed model and demonstrate its superiority to the existing models.

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhou, G., Zhang, Q., Tan, X. (2011). Image Enhancement and Denoising by Forward-and-Backward Fourth Order Partial Differential Equations. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23339-5_94

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  • DOI: https://doi.org/10.1007/978-3-642-23339-5_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23338-8

  • Online ISBN: 978-3-642-23339-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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