Article ID Journal Published Year Pages File Type
392129 Information Sciences 2015 13 Pages PDF
Abstract

This paper aims to develop a fractional-order model and a primal–dual algorithm for image denoising, where a regularization parameter can be adjusted adaptively according to Morozov discrepancy principle at each iteration to ensure that the denoised image retains in a specific set. In the light of saddle-point theory, the convergence of our proposed algorithm is guaranteed. Simulations with comparisons are carried out to demonstrate the effectiveness of our proposed algorithm for image denoising.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
, , ,