Network Flow Optimization for Restoration of Images

Details Network Flow Optimization for Restoration of Images Network Flow Optimization for Restoration of Images

2001-06-21

arxiv.org/abs/math/0106180v1

Mathematics

Optimization and Control

Scientific paper

The network flow optimization approach is offered for restoration of grayscale and color images corrupted by noise. The Ising models are used as a statistical background of the proposed method. The new multiresolution network flow minimum cut algorithm, which is especially efficient in identification of the maximum a posteriori estimates of corrupted images, is presented. The algorithm is able to compute the MAP estimates of large size images and can be used in a concurrent mode. We also describe the efficient solutions of the problem of integer minimization of two energy functions for the Ising models of gray-scale and color images.

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