A fractional-order adaptive regularization primal-dual algorithm for image denoising

作者：Tian Dan; Xue Dingyu; Wang Dianhui^*

来源：Information Sciences, 2015, 296: 147-159.

DOI：10.1016/j.ins.2014.10.050

• Image denoising
• Fractional-order ROF model
• Primal-dual algorithm
• Adaptive regularization parameter

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.

• 出版日期2015-3-1
• 单位沈阳大学; 东北大学