@inproceedings{10406a99b60d4559abc9b0127a17aa47,
title = "Comparison of the PDE-based regularization methods and a unifying framework",
abstract = "The frequent problems in computer vision consist of de-noising, artifact elimination as well as structure preserving or enhancing. PDE-based nonlinear diffusion filter may be one possibility to achieve those goals. In this paper, we perform comparison of three typical PDE-based regularization algorithms followed by the proposal of a general framework, which exploits fundamental significance for analyzing PDE-based regularization methods.",
keywords = "PDE, diffusion tensor, image processing, regularization",
author = "Bochao Su and Xiaohua Zhang and Wanyu Liu and Li Li",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014 ; Conference date: 18-09-2014 Through 20-09-2014",
year = "2014",
month = dec,
day = "22",
doi = "10.1109/IMCCC.2014.114",
language = "英语",
series = "Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "527--532",
editor = "Jun-Bao Li",
booktitle = "Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014",
address = "美国",
}