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Image Denoising algorithm based on the relevance of wavelet coefficients

机译:基于小波系数相关性的图像去噪算法

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摘要

In this paper the wavelet transform and the wavelet transform theory have been elaborated. A wavelet coefficients' model in which individual shrinkage thresholds are selected for each coefficient has been established. The relationships between different wavelet coefficients are analyzed. According to this new model, a new algorithm of image denosing has been proposed. It is shown in the experiments that the new algorithm is more effective than traditional algorithms.
机译:本文阐述了小波变换和小波变换理论。已经建立了一个小波系数模型,其中为每个系数选择了单独的收缩阈值。分析了不同小波系数之间的关系。根据该新模型,提出了一种新的图像去噪算法。实验表明,新算法比传统算法更有效。

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