Cooling schedules for optimal annealing
Mathematics of Operations Research
Digital Picture Processing
Scaling Theorems for Zero-Crossings
Scaling Theorems for Zero-Crossings
Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Cost Minimization Approach to Edge Detection Using Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained Restoration and the Recovery of Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Prior Learning and Gibbs Reaction-Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear Motion Estimation Using the Supercoupling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Color Textures
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
The application of Markov random field models to wavelet-based image denoising
Imaging and vision systems
On shape detection in noisy images with particular reference to ultrasonography
Statistics and Computing
Structural Matching in Computer Vision Using Probabilistic Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multiresolution Causal Colour Texture Model
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Convergence of a Hill Climbing Genetic Algorithm for Graph Matching
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Guest Editorial: Computational Vision at Brown
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Complex Daubechies wavelets: properties and statistical image modelling
Signal Processing
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
IEEE Transactions on Image Processing
Subsampling of Markov random fields
Journal of Visual Communication and Image Representation
Shape-based Invariant Texture Indexing
International Journal of Computer Vision
Uncertainty driven multi-scale optimization
Proceedings of the 32nd DAGM conference on Pattern recognition
Computer Vision and Image Understanding
Frozen-State hierarchical annealing
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Image scale-space from the heat kernel
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
On the effects of normalization in adaptive MRF hierarchies
CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images
| Hi-index | 0.16 |
A method for studying problems in digital image processing, based on a combination of renormalization group ideas, the Markov random-field modeling of images, and metropolis-type Monte Carlo algorithms, is presented. The method is efficiently implementable on parallel architectures, and provides a unifying procedure for performing a hierarchical, multiscale, coarse-to-fine analysis of image-processing tasks such as restoration, texture analysis, coding, motion analysis, etc. The method is formulated and applied to the restoration of degraded images. The restoration algorithm is a global-optimization algorithm applicable to other optimization problems. It generates iteratively a multilevel cascode of restored images corresponding to different levels of resolution, or scale. In the lower levels of the cascade appear the large-scale features of the image, and in the higher levels, the microscopic features of the image.