Abstract
In this paper a novel approach for image denoising using stochastic differential equations (SDEs) is presented. In proposed method a controlled parameter to Euler’s approximations of solutions to SDEs with reflecting boundary is added. It is shown that modified diffusion gives very good results for Gaussian noise source models and compares favourably with other image denoising filters.
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Borkowski, D. (2007). Modified diffusion to Image Denoising. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_12
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DOI: https://doi.org/10.1007/978-3-540-75175-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
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