Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's
International Journal of Computer Vision
Geometric Partial Differential Equations and Image Analysis
Geometric Partial Differential Equations and Image Analysis
Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations (Applied Mathematical Sciences)
Disocclusion: a variational approach using level lines
IEEE Transactions on Image Processing
Image Compression with Anisotropic Diffusion
Journal of Mathematical Imaging and Vision
From a Single Point to a Surface Patch by Growing Minimal Paths
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
A Variational Framework for Non-local Image Inpainting
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Reconstructing Optical Flow Fields by Motion Inpainting
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Locally Parallel Textures Modeling with Adapted Hilbert Spaces
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
A comprehensive framework for image inpainting
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
A Variational Framework for Exemplar-Based Image Inpainting
International Journal of Computer Vision
Curvature regularity for multi-label problems - standard and customized linear programming
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
International Journal of Computer Vision
Geometrically Guided Exemplar-Based Inpainting
SIAM Journal on Imaging Sciences
Image Inpainting Based on Coherence Transport with Adapted Distance Functions
SIAM Journal on Imaging Sciences
Automatic detection of optic disc from retinal fundus images using dynamic programming
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
International Journal of Imaging Systems and Technology
Evaluation of digital inpainting quality in the context of artwork restoration
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Disocclusion-based 2D-3D registration for aortic interventions
Computers in Biology and Medicine
An efficient framework for image/video inpainting
Image Communication
Pattern Recognition Letters
| Hi-index | 0.00 |
High-quality image inpainting methods based on nonlinear higher-order partial differential equations have been developed in the last few years. These methods are iterative by nature, with a time variable serving as iteration parameter. For reasons of stability a large number of iterations can be needed which results in a computational complexity that is often too large for interactive image manipulation. Based on a detailed analysis of stationary first order transport equations the current paper develops a fast noniterative method for image inpainting. It traverses the inpainting domain by the fast marching method just once while transporting, along the way, image values in a coherence direction robustly estimated by means of the structure tensor. Depending on a measure of coherence strength the method switches continuously between diffusion and directional transport. It satisfies a comparison principle. Experiments with the inpainting of gray tone and color images show that the novel algorithm meets the high level of quality of the methods of Bertalmio et al. (SIG-GRAPH '00: Proc. 27th Conf. on Computer Graphics and Interactive Techniques, New Orleans, ACM Press/Addison-Wesley, New York, pp. 417---424, 2000), Masnou (IEEE Trans. Image Process. 11(2):68---76, 2002), and Tschumperlé (Int. J. Comput. Vis. 68(1):65---82, 2006), while being faster by at least an order of magnitude.