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The Statistical Convergence Theory of Non Local Means and Its Extension

2018-06-24 16:17    
主题:
The Statistical Convergence Theory of Non Local Means and Its Extension
时间:
2018-07-01 15:00-17:00
地点:
卫津路校区6号楼111教室
主讲人:
金其余

主讲人简介

内蒙古大学教授

演讲内容介绍

    We introduce an oracle filter for removing the Gaussian noise with weights depending on a similarity function. The usual Non-Local Means filter is obtained from this oracle filter by substituting the similarity function by an estimator based on similarity patches. When the sizes of the search window are chosen appropriately, it is shown that the oracle filter converges with the optimal rate. Based on our convergence theorems, we propose some simple formulas for the choice of the parameters. The implementation of the proposed algorithm is also straightforward and the simulations show that our algorithm improves significantly the classical NL-means and is competitive when compared to the more sophisticated NL-means filters both in terms of PSNR values and visual quality.

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