| Paper: | WA-P2.5 |
| Session: | Image and Video Filtering II |
| Time: | Wednesday, September 19, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
P-LAPLACIAN DRIVEN IMAGE PROCESSING |
| Authors: |
Arjan Kuijper; RICAM, Austrian Academy of Sciences | | |
| Abstract: |
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 normof 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. |
