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Usage of wavelet transform for statistic prior presentation in image processing problems

机译:图像处理问题中的统计信息前进的小波变换的用法

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A representation form of prior information about visually accepted images is proposed in this paper on purpose to create of images processing algorithms based on maximum a posteriori principle. The image model was presented in the Student's distribution form of decomposition coefficients of the image ill Wavelet functions basis. The change boundaries of proposed model parameters were defined for visually accepted images. An adequacy of the model was verified for real-world images. The expediency and advantages of proposed model were shown at the creation of image denoising algorithm.
机译:本文提出了一种关于视觉上接受图像的先前信息的表示形式,目的是基于最大后序原理创建图像处理算法。图像模型以学生的分解系数的分解系数的基础呈现。为视觉上接受的图像定义了所提出的模型参数的变更边界。验证了该模型的充分性以获得真实世界的图像。建议模型的权宜之计和优点在创建图像去噪算法时显示。

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