Dong Yiqiu, Chan Raymond H, Xu Shufang
School of Mathematical Sciences, Peking University, Beijing 100871, China.
IEEE Trans Image Process. 2007 Apr;16(4):1112-20. doi: 10.1109/tip.2006.891348.
This paper proposes an image statistic for detecting random-valued impulse noise. By this statistic, we can identify most of the noisy pixels in the corrupted images. Combining it with an edge-preserving regularization, we obtain a powerful two-stage method for denoising random-valued impulse noise, even for noise levels as high as 60%. Simulation results show that our method is significantly better than a number of existing techniques in terms of image restoration and noise detection.
本文提出了一种用于检测随机值脉冲噪声的图像统计量。通过该统计量，我们可以识别受损图像中的大多数噪声像素。将其与保边正则化相结合，我们获得了一种强大的两阶段方法来去除随机值脉冲噪声，即使对于高达60%的噪声水平也有效。仿真结果表明，我们的方法在图像恢复和噪声检测方面明显优于许多现有技术。
