Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained Restoration and the Recovery of Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Variational Model for Image Classification and Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance characterisation in computer vision: statistics in testing and design
Imaging and vision systems
An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
A Regularized Solution to Edge Detection
A Regularized Solution to Edge Detection
Efficient graph-based energy minimization methods in computer vision
Efficient graph-based energy minimization methods in computer vision
Super-Resolution Image Restoration from Blurred Low-Resolution Images
Journal of Mathematical Imaging and Vision
Image Restoration Model of PDE Variation
ICIC '09 Proceedings of the 2009 Second International Conference on Information and Computing Science - Volume 02
Variational image segmentation using boundary functions
IEEE Transactions on Image Processing
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In the paper we study energy methods for image restoration, when a restored image is obtained after minimization of an integral functional. Although such a functional is global, only few pixels in a small neighborhood of any pixel on the initial image can influence on the corresponding pixel on the restored image. We call this neighborhood an "influence area" and propose a technique for calculation of such areas and their visualization on computer screen. We apply the whole testing technique based upon this approach to a couple of known image restoration methods. The parameters of these methods, ensuring their better performance, are found.