中子照相是无损检测中应用较为广泛的一种技术。然而中子成像系统诸多不可避免的物理因素会导致所得中子图像严重降质,如噪声污染和空间模糊等。针对此问题,本文提出了一种将BM3D frames和方差稳定化变换相结合的中子图像复原方法。此方法首先对图像中的泊松高斯噪声进行变换,变换后数据成为符合高斯分布的噪声,然后用BM3Dframes滤除变换后的高斯噪声,最后对去噪结果进行逆变换即得复原图像。该方法对强泊松高斯噪声有很强的抑制作用,且可很好地保留降质中子图像中的细节。实验结果表明,该方法在客观数据和视觉感受上均表现出稳健高质的复原性能。
The neutron radiography is one of the most widely used techniques for nondestructive testing.However,the resulting images are degraded inevitably due to some physical limitations,such as noise corruption and blur.To solve this problem,a new scheme for neutron image restoration was proposed,which utilizes BM3D frames and variance stabilizing transformation.In this scheme,the transformation was applied to produce the data which can be treated as an additive Gaussian noise.After denoising the resulting data by BM3D frames,an inverse transformation was applied to the denoised signal to obtain the restoration result.This scheme is capable of suppressing strong Poisson-Gaussian noise while restoring details of the degraded neutron images.Experi-mental results show that the scheme improves the restoration quality efficiently and possesses a robust performance both quantitatively and visually.