一种高效稳健的差分视频噪声估计算法

提出了一种高效稳健的白噪声方差估计算法，算法首先对连续的两帧视频进行差分运算以获得更多的亮度平坦区域，进而在差分图像和原始图像中以一定的准则寻找亮度平坦块，最终从这些平坦块中估计出噪声的方差。大量的实验结果表明，本文算法不仅在低噪声水平和高噪声水平时保持了良好的估计准确性，而且对于图像含有大量纹理信息以及图像含有极少平坦块的情况，也给出了准确的估计结果，表现出了良好的稳健性。

Fast and Reliable Differential Video Noise Estimation Algorithm

Noise variance impacts significantly the effectiveness of video preprocessing algorithms. A fast and reliable white noise variance estimation algorithm is proposed. Firstly, this method subtracts two sequential frames, then finds intensity-homogeneous blocks, finally estimates the noise variance in these blocks. Large experimental data show that the proposed method performs well in both highly noisy and good-quality images. It also works well in images including large textured areas and few uniform blocks.