Well-posed inhomogeneous nonlinear diffusion scheme for digital image denoising.
Prasath, V.B.Surya, Singh, Arindama (2010)
Journal of Applied Mathematics
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Displaying similar documents to “A well-posed multiscale regularization scheme for digital image denoising”
Well-posed inhomogeneous nonlinear diffusion scheme for digital image denoising.
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International Journal of Applied Mathematics and Computer Science
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In this paper the problem of accurate edge detection in images of heat-emitting specimens of metals is discussed. The images are provided by the computerized system for high temperature measurements of surface properties of metals and alloys. Subpixel edge detection is applied in the system considered in order to improve the accuracy of surface tension determination. A reconstructive method for subpixel edge detection is introduced. The method uses a Gaussian function in order to reconstruct...
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An efficient algorithm for adaptive total variation based image decomposition and restoration
Xinwu Liu, Lihong Huang (2014)
International Journal of Applied Mathematics and Computer Science
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With the aim to better preserve sharp edges and important structure features in the recovered image, this article researches an improved adaptive total variation regularization and H −1 norm fidelity based strategy for image decomposition and restoration. Computationally, for minimizing the proposed energy functional, we investigate an efficient numerical algorithm-the split Bregman method, and briefly prove its convergence. In addition, comparisons are also made with the classical OSV...
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Jacques Froment (1999)
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Quad-tree Based Finite Volume Method for Diffusion Equations with Application to SAR Imaged Filtering
Zuzana KRIVÁ, Juraj PAPČO, Jakub VANKO (2015)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
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In this paper we present a method to remove the noise by applying the Perona Malik algorithm working on an irregular computational grid. This grid is obtained with a quad-tree technique and is adapted to the image intensities—pixels with similar intensities can form large elements. We apply this algorithm to remove the speckle noise present in SAR images, i.e., images obtained by radars with a synthetic aperture enabling to increase their resolution in an electronic way. The presence...