公开(公告)号：US08761540B2

公开(公告)日：2014-06-24

申请号：US13160111

申请日：2011-06-14

申请人： Zhi Yang ,  Alexander Zamyatin ,  Satoru Ohishi ,  Anusha Muthu-Natarajan

发明人： Zhi Yang ,  Alexander Zamyatin ,  Satoru Ohishi ,  Anusha Muthu-Natarajan

IPC分类号： G06K9/40

CPC分类号： G06T11/008

摘要： Noise assessment is important to image quality evaluation as well as image processing. For example, the noise level estimation is used as criteria for terminating an iterative noise reduction process. To determine a meaningful noise level, the pixels in featureless regions are separated from the rest of the image. A new concept of pseudo-standard deviation (PSD) is introduced to automatically determine simple and reliable noise level estimates. Furthermore, a histogram of PSD is constructed with fine bins to calculate the moving average of the histogram. The first peak in filtered histogram gives the most representative noise measure as a desired approximation of true standard deviation.

摘要翻译： 噪声评估对图像质量评估和图像处理很重要。 例如，噪声水平估计被用作终止迭代降噪过程的标准。 为了确定有意义的噪声电平，无特征区域中的像素与图像的其余部分分离。 引入了伪标准偏差（PSD）的新概念，以自动确定简单可靠的噪声电平估计。 此外，PSD的直方图由精细仓组成，以计算直方图的移动平均值。 滤波直方图中的第一个峰值给出最具代表性的噪声测量值作为真正标准偏差的期望近似值。