摘要
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.
源语言 | 英语 |
---|---|
主期刊名 | 2021 6th International Conference on Signal and Image Processing, ICSIP 2021 |
出版商 | Institute of Electrical and Electronics Engineers Inc. |
页 | 467-471 |
页数 | 5 |
ISBN(电子版) | 9780738133737 |
DOI | |
出版状态 | 已出版 - 2021 |
活动 | 6th International Conference on Signal and Image Processing, ICSIP 2021 - Nanjing, 中国 期限: 22 10月 2021 → 24 10月 2021 |
出版系列
姓名 | 2021 6th International Conference on Signal and Image Processing, ICSIP 2021 |
---|
会议
会议 | 6th International Conference on Signal and Image Processing, ICSIP 2021 |
---|---|
国家/地区 | 中国 |
市 | Nanjing |
时期 | 22/10/21 → 24/10/21 |
指纹
探究 'A Double Fittings Based Total Variation Model for Image Denoising' 的科研主题。它们共同构成独一无二的指纹。引用此
Li, M., & Li, B. (2021). A Double Fittings Based Total Variation Model for Image Denoising. 在 2021 6th International Conference on Signal and Image Processing, ICSIP 2021 (页码 467-471). (2021 6th International Conference on Signal and Image Processing, ICSIP 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIP52628.2021.9689023