Edge preservation based CT image denoising using Wiener filtering and thresholding in wavelet domain

Computed tomography (CT) is among one of the important tools which helps to depict the complications of human body. The CT images help to identify the medical relevant details for diagnosis purpose. Due to presence of noise, a medical image may not give the accurate analysis which may harmful for the patients. This article proposed a scheme based on Wiener filtering in wavelet domain. In proposed scheme, CT image is denoised using concept of Wiener filtering and method noise in wavelet domain. In proposed scheme, CT image is denoised using concept of Wiener filtering and method noise in wavelet domain. The resultant image of proposed methodology gives noise suppressed as well as edge preserved image. To measure the performance of proposed scheme, the performance metrics (PSNR, SSIM) are calculated and also compared with some existing schemes. Experimental evaluation indicates that the quality of CT images is enhanced in terms of noise reduction as well as structure preservation.