Abstract
A robust variational PDE model for image noise removal is proposed in this paper. One considers an energy functional to be minimized, based on a novel smoothing constraint. Then, the corresponding Euler-Lagrange equation is determined. The obtained PDE model is solved, by using a numerical discretization scheme. Some results of our image denoising experiments and method comparisons are also described in this article.
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Barbu, T. (2013). A Novel Variational PDE Technique for Image Denoising. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42051-1_62
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DOI: https://doi.org/10.1007/978-3-642-42051-1_62
Publisher Name: Springer, Berlin, Heidelberg
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