期刊
COMPUTERS & MATHEMATICS WITH APPLICATIONS
卷 76, 期 5, 页码 1056-1074出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2018.05.040
关键词
Fourth-order PDE; Image denoising; Entropy solution; Fixed point theorem; FED scheme
Image denoising is a challenging task in the fields of image processing and computer vision. Inspired by the good performance of nonlinear fourth-order models in recovering smooth region, we proposed a fourth-order image denoising model. Using the fixed point theorem, we established the existence and uniqueness of the entropy solution. Based on the fast explicit diffusion scheme (FED), numerical experiments illustrate the effectiveness of the suggested method in image denoising. The results have been compared with three famous fourth-order models, You and Kaveh (YK) model, Lysaker, Lundervold and Tai (LLT) model and the more recent mean curvature (MC) model. The proposed model has the superiority in terms of removing noise while preserving image features. (C) 2018 Elsevier Ltd. All rights reserved.
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