Abstract
In this paper, a new partial differential equation (PDE)-based model is proposed for image denoising. The new method is inspired by previous works in which the nonlinear diffusion approach obtained by using a coupling gradient fidelity term. Based on the long-term memory and nonlocality of fractional differential, we introduce a new fidelity term based on the combination of fractional-order fidelity term and global fidelity term to measure the similarity in the variation of images, which can prevent the staircase effect, and simultaneously enhance the noisy image, thus, the image becomes clearer and brighter. Numerical results are presented in the end to demonstrate that with respect to image denoising capability, our fractional fidelity-based model outperforms the gradient fidelity-based model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
