Additive white Gaussian noise level estimation based on block SVD

Wei Liu
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引用次数: 25

Abstract

Accurate estimation of noise level is of fundamental interest in a wide variety of vision and image processing applications as it is critical to the processing techniques that follow. In this paper, a new, effective noise level estimation method is proposed based on existing noise estimation methods in SVD domain. The analysis and experiments results demonstrate that the proposed algorithm can reliably infer noise levels, and in comparison with the existing method in SVD domain, the proposed algorithm can reduce the computation complexity greatly.
基于分块奇异值分解的加性高斯白噪声水平估计
噪声水平的准确估计是各种视觉和图像处理应用的基本兴趣,因为它对随后的处理技术至关重要。本文在SVD域现有噪声估计方法的基础上,提出了一种新的、有效的噪声级估计方法。分析和实验结果表明,该算法能够可靠地推断噪声级,并且与现有的SVD域方法相比,该算法大大降低了计算复杂度。
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