A regularization model with adaptive diffusivity for variational image denoising

Po Wen Hsieh, Pei Chiang Shao, Suh Yuh Yang

研究成果: 雜誌貢獻期刊論文同行評審

14 引文 斯高帕斯(Scopus)

摘要

In this paper, motivated by approximating the Euler-Lagrange equation of the pth-order regularization for 0 < p ≤ 1, we propose a new regularization model with adaptive diffusivity for variational image denoising. The model is equipped with a regularization controller which is introduced to adaptively adjust the diffusivity from pixel to pixel according to the magnitude of image gradient. The associated energy functional is convex and thus the minimization problem can be efficiently solved using a modified split Bregman iterative scheme. A convergence analysis of the iterative scheme is established. Numerical experiments are performed to demonstrate the good performance of the proposed model. Comparisons with some other image denoising models are also made.

原文???core.languages.en_GB???
頁(從 - 到)214-228
頁數15
期刊Signal Processing
149
DOIs
出版狀態已出版 - 8月 2018

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