本文提出了一种基于补丁的噪声电平估计算法，补丁产生的单噪声图像。一个可以很容易地估计噪声水平使用主成分分析（PCA）如果图像块的图像只包含弱特将补丁。基于补丁的噪声电平估计的挑战是如何选择弱纹理补丁从嘈杂的图像。去描述在本文中，我们提出了一个选择弱纹理补丁的补丁和基于统计的梯度单噪声图像的新算法。然后，我们估计噪声水平从选定的弱纹理补丁使用PCA。我们实验证明，所提出的噪声电平估计算法优于国家的最先进的算法。-A patch-based noise level estimation algorithm is proposed in this

paper, with patches generated　a single noisy image. One can

easily estimate the noise level　image patches using principal

component analysis (PCA) if the image comprises only weak tex-

tured patches. The challenge for patch-based noise level estimation

is how to　weak textured patches　a noisy image. As de-

scribed in this paper, we propose a novel algorithm to　weak

textured patches　a single noisy image based on the gradients

of the patches and their statistics. Then we estimate the noise level

the selected weak textured patches using PCA. We demonstrate

experimentally that the proposed noise level estimation algorithm

outperforms the state-of-the-art algorithm.