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STATISTICAL IMAGE PROCESSING SYSTEM AND METHOD FOR IMAGE/NOISE DISCRIMINATION

机译:用于图像/噪声识别的统计图像处理系统和方法

摘要

PROBLEM TO BE SOLVED: To provide a statistical image processing system and a method for image/noise discrimination.;SOLUTION: The statistical image processing system and method for image/noise discrimination for detecting an original image component and/or a noise component in an input image using a statistical hypothesis test, thereby estimating the image or noise when an original image is contaminated with the noise are provided. The method enables existence/non-existence of an image/noise component in an input image to be accurately detected without information on the magnitude of a sample variance of noise in the input image. In addition, according to the method, the relative amount of noise and/or image component can be numerically expressed and can be used in the various fields of image processing application.;COPYRIGHT: (C)2007,JPO&INPIT
机译:解决的问题:提供一种统计图像处理系统和图像/噪声识别方法。解决方案:统计图像处理系统和图像/噪声识别方法,用于检测图像中的原始图像成分和/或噪声成分。使用统计假设检验输入图像,从而在原始图像被噪声污染时估计图像或噪声。该方法使得能够在没有关于输入图像中的噪声的样本方差的大小的信息的情况下准确地检测输入图像中的图像/噪声成分的存在/不存在。另外,根据该方法,噪声和/或图像成分的相对量可以用数字表示,并且可以在图像处理应用的各个领域中使用。;版权所有:(C)2007,JPO&INPIT

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