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Processing of images based on blind evaluation of noise type andcharacteristics

机译:基于盲目评估的图像处理噪声类型和特征

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Most modern methods of image processing exploit a priori knowledge or estimates of noise type and its characteristics obtained in blind or interactive manner. However, the results of noise type blind determination can be false with some hopefully rather small probability. Similarly, the obtained estimates of noise parameters are characterized by certain accuracy. Clearly, false decisions and errors of estimates influence performance of image processing techniques that exploit the information on noise properties obtained in a blind manner. In this paper, we consider some aspects of such influence for several typical applications.
机译:大多数现代的图像处理方法利用先验知识或噪声类型的估计及其以盲或交互方式获得的特性。然而,噪声型盲确定的结果可能是假的,其中一些希望相当小的概率。类似地,所获得的噪声参数估计的特征在于某种精度。显然,虚假决策和估计的误差会影响利用盲方式获得的噪声性能信息的图像处理技术的性能。在本文中,我们考虑了几个典型应用这些影响的方面。

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