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ICIP
2007
IEEE

P-Laplacian Driven Image Processing

15 years 1 months ago
P-Laplacian Driven Image Processing
In this work, we take a novel line of approaches to evolve images. It is motivated by the total variation method, known for its denoising and edge-preserving effect. Our approach generalises the TV method by taking a general Lp norm of the gradients instead of the L1 in the TV method. We generalise this method in a series of first and second order derivatives in terms of gauge coordinates. This method also incorporates the well-known blurring by a Gaussian filter and the balanced forward - backward diffusion. The method and its properties are briefly discussed. The practical results are visualised on a real-life image, showing the expected behaviour. When a constraint is added that penalises the distance of the results to the input image, one can vary the desired amount of blurring and denoising.
Arjan Kuijper
Added 21 Oct 2009
Updated 21 Oct 2009
Type Conference
Year 2007
Where ICIP
Authors Arjan Kuijper
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