A dynamic mesh algorithm for curvature dependent evolving interfaces
Journal of Computational Physics
A perceptually based physical error metric for realistic image synthesis
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Image replacement through texture synthesis
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Filling-in by joint interpolation of vector fields and gray levels
IEEE Transactions on Image Processing
Disocclusion: a variational approach using level lines
IEEE Transactions on Image Processing
Analysis of Iterative Methods for Solving a Ginzburg-Landau Equation
International Journal of Computer Vision
Detecting Codimension--Two Objects in an Image with Ginzburg-Landau Models
International Journal of Computer Vision
Field of Particle Filters for Image Inpainting
Journal of Mathematical Imaging and Vision
Image Compression with Anisotropic Diffusion
Journal of Mathematical Imaging and Vision
A fast implementation algorithm of TV inpainting model based on operator splitting method
Computers and Electrical Engineering
Towards PDE-Based image compression
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Geometrically Guided Exemplar-Based Inpainting
SIAM Journal on Imaging Sciences
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Recently, several different approaches for digital inpainting have been proposed in the literature. We give a review and introduce a novel approach based on the complex Ginzburg-Landau equation. The use of this equation is motivated by some of its remarkable analytical properties. While common inpainting technology is especially designed for restorations of two dimensional image data, the Ginzburg-Landau equation can straight forwardly be applied to restore higher dimensional data, which has applications in frame interpolation, improving sparsely sampled volumetric data and to fill in fragmentary surfaces. The latter application is of importance in architectural heritage preservation. We discuss a stable and efficient scheme for the numerical solution of the Ginzburg-Landau equation and present some numerical experiments. We compare the performance of our algorithm with other well established methods for inpainting.