Noise intensity estimation method based on SVD and residual images for neutron image denoising
Aiming at the problem of neutron image denoising,a method based on singular value decomposition and residual images is proposed to estimate the noise intensity of noisy image.Through the residual image containing weak texture,the singular value tail data caused by noise is obtained,and a double iteration process is introduced to calculate the noise intensity estimate of the noisy image.According to the estimated noise intensity,the Block-Matching and 3D filtering(BM3D)is used to remove the noise effectively.The experimental results show that compared with the existing methods,this method can estimate the noise intensity of the simulated image and the neutron image more accurately,and effectively remove the noise while preserving more texture details of the image,and obtain a clear image.
singular value decompositionresidual imagesnoise estimationneutron imagesBM3D
万方数据
维普
