Image magnification method using joint diffusion
Journal of Computer Science and Technology - Special issue on computer graphics and computer-aided design
Anisotropic Nonlinear Filtering of Cellular Structures in Cryoelectron Tomography
Computing in Science and Engineering
Structure-Texture Image Decomposition--Modeling, Algorithms, and Parameter Selection
International Journal of Computer Vision
Coupled anisotropic diffusion for image selective smoothing
Signal Processing
Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising
Journal of Mathematical Imaging and Vision
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
International Journal of Computer Vision
Graph spectral image smoothing using the heat kernel
Pattern Recognition
Sequential Blind PSF Estimation and Restoration of Aerial Multispectral Images
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Reaction–diffusion algorithm for stereo disparity detection
Machine Vision and Applications
Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
International Journal of Computer Vision
On the Rate of Structural Change in Scale Spaces
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Scale selection for compact scale-space representation of vector-valued images
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
On the critical point of gradient vector flow snake
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Scale selection for anisotropic diffusion filter by Markov random field model
Pattern Recognition
Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method
Pattern Recognition
Generalised Nonlocal Image Smoothing
International Journal of Computer Vision
Stopping Criteria for Anisotropic PDEs in Image Processing
Journal of Scientific Computing
Efficient numerical schemes for gradient vector flow
Pattern Recognition
Optimal stopping and constraints for diffusion models of signals with discontinuities
ECML'05 Proceedings of the 16th European conference on Machine Learning
Localization scale selection for scale-space segmentation
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Estimation of the optimal variational parameter via SNR analysis
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Structure-Texture decomposition by a TV-Gabor model
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
On the choice of the parameters for anisotropic diffusion in image processing
Pattern Recognition
Adaptive diffusion flow active contours for image segmentation
Computer Vision and Image Understanding
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We develop a novel time-selection strategy for iterative image restoration techniques: the stopping time is chosen so that the correlation of signal and noise in the filtered image is minimized. The new method is applicable to any images where the noise to be removed is uncorrelated with the signal, under the assumptions that the filter used is suitable for the given type of data, and that neither the additive noise nor the filtering procedure alter the average gray value; no other knowledge (e.g. the noise variance, training data etc.) is needed.We analyse the theoretical properties of the method, then test the performance of our time estimation procedure experimentally, and demonstrate that it yields near-optimal results for a wide range of noise levels and for various filtering methods.