A Novel Image Denoising Algorithm Based on Crank-Nicholson Semi-Implicit Difference Scheme
Cao Ke, Feng Wang, Shang Qing-wei · Procedia Engineering · 2011
The image is one of the most important ways, people know the objective world. Due to the limitation of the get image and external disturbance, inevitably, image noise image processing. Some important information from the edge and the details of the image noise are often buried, therefore, it is necessary to process denoising image preprocessing stage. It is an important protection function, such as the scale of fine grain image denoising process. In this paper, the semi-implicit C-N scheme is applied to discrete the ROF model and the G-S iterative method to solve the linear algebra equations by the matrix form. In the numerical experiments, the Gaussian noise images are used to have tests. The results show that the semi-implicit discrete scheme gets a larger SNR, maintaining the fine scale features better.