@inproceedings{a33d763535894673bd82408577c02c81,
title = "A Double Fittings Based Total Variation Model for Image Denoising",
abstract = "In this paper, weighted image gradients based fitting is introduced into the proposed model for image denoising, which is called double fittings based total variation (DFTV) model. The weighted gradients are designed to maintain image structures during the denoising process. The definition of the weight function makes it better to enhance edges of images and maintain structures. For solving the proposed model, alternating direction method of multipliers (ADMM) is explored. In order to show the effectiveness and efficiency of the proposed model, both of the visual results and quantity evaluation are provided for compared experiments.",
keywords = "ADMM, Image denoising, Total variation, Weighted gradients",
author = "Mengmeng Li and Bingzhao Li",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 6th International Conference on Signal and Image Processing, ICSIP 2021 ; Conference date: 22-10-2021 Through 24-10-2021",
year = "2021",
doi = "10.1109/ICSIP52628.2021.9689023",
language = "English",
series = "2021 6th International Conference on Signal and Image Processing, ICSIP 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "467--471",
booktitle = "2021 6th International Conference on Signal and Image Processing, ICSIP 2021",
address = "United States",
}