A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representations based on zero-crossings in scale-space
Readings in computer vision: issues, problems, principles, and paradigms
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image selective smoothing and edge detection by nonlinear diffusion
SIAM Journal on Numerical Analysis
Nonlinear Image Filtering with Edge and Corner Enhancement
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multi-scale approach to nonuniform diffusion
CVGIP: Image Understanding
Learning an Integral Equation Approximation to Nonlinear Anisotropic Diffusion in Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometry-Driven Diffusion in Computer Vision
Geometry-Driven Diffusion in Computer Vision
Filtering, Segmentation, and Depth
Filtering, Segmentation, and Depth
Recursive Separable Schemes for Nonlinear Diffusion Filters
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
Parallel Implementations of AOS Schemes: A Fast Way of Nonlinear Diffusion Filtering
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Learned Adaptive Nonlinear Filtering for Anisotropic Diffusion Approximation in Image Processing
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear diffusion filtering on extended neighborhood
Applied Numerical Mathematics
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
International Journal of Computer Vision
Artificial Intelligence in Medicine
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Nonlinear anisotropic diffusion algorithms provide significant improvement in image enhancement as compared to linear filters. However, the excessive computational cost of solving nonlinear PDEs precludes their use in real-time vision applications. In the present paper, we show that two orders of magnitude speed improvement is provided by a new image filtering paradigm in which an adaptively determined vector field specifies nonlocal application points for an image filter.