基于Anscombe变换Wiener滤波的DR图像重建  

Reconstruction of DR Image Based on Anscombe Transform Wiener Filter

作　　者：邵翔 

机构地区：[1]广州特种承压设备检测研究院,广州510663

出　　处：《中国特种设备安全》2017年第11期16-18,64,共4页China Special Equipment Safety

摘　　要：一般来说DR图像中均存在噪声信号,从而导致图像失真,针对此类问题,本文提出了一种基于Anscombe变换的图像重建方法。首先将图像中的Possion噪声信号通过Anscombe变换转换为Gaussian信号,然后通过Wiener滤波对DR图像进行重建,以提高图像清晰度。并将重建图像和原始噪声图像以及多桢叠加图像进行比较,发现本文中提出的图像重建方法能有效的降低噪声信号的影响。Aiming at the problem of image distortion caused by noise in DR images, an image reconstruction method based on Anscombe transform is proposed. First, the Poisson noise signal is converted to a Gaussian signal by Anscombe transform; then, reconstruction of the DR image to improve clarity by Wiener filtering. And the reconstructed image is compared with the original noise image and the multi-frame superimposed image. It is found that the image reconstruction method proposed in this paper can effectively reduce the influence of noise signal.

关 键 词：WIENER滤波 DR 重建 降噪 

分 类 号：X924[环境科学与工程—安全科学]