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Fuzzy image smoothing

机译:模糊图像平滑

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摘要

A fuzzy model for a noisy image sequence is given, and thepossibility distribution function for an estimate of the original imageis deduced. An optimal estimate criterion, called the maximumpossibility criterion, is presented, and the fuzzy image smoothingalgorithm is derived. This algorithm can be realized by a simple digitalstructure with the desirable property of reduced memory requirements.For the average relative error, the algorithm performs better than theconventional average of multiple images algorithm with the distinctadvantage of suppressing noise in the case of a small number of images
机译:给出了噪声图像序列的模糊模型,推导了估计原始图像的可能性分布函数。提出了一种最优估计准则,称为最大可能性准则,并推导了模糊图像平滑算法。该算法可以通过简单的数字结构实现,并具有减少内存需求的理想性能。对于平均相对误差,该算法的性能优于传统的多图像平均算法,在图像数量较少的情况下,具有明显的噪声抑制优势。

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