Implementation of high-order variational models made easy for image processing-Reference-Cited by-同舟云学术

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Implementation of high-order variational models made easy for image processing

Published:2016-03-07 Issue:14 Volume:39 Page:4208-4233
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math. Meth. Appl. Sci.

Author:

Lu Wenqi¹,Duan Jinming²,Qiu Zhaowen³,Pan Zhenkuan¹,Liu Ryan Wen⁴,Bai Li²

Affiliation:

1. College of Information Engineering; Qingdao University; China

2. School of Computer Science; University of Nottingham; UK

3. Institute of Information Computer Engineering; NorthEast Forestry University; China

4. School of Navigation; Wuhan University of Technology; China

Funder

National Natural Science Foundation

Qingdao Science and Technology Development Project

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mma.3858/fullpdf

Reference47 articles.

1. Image Processing and Analysis

2. Mathematical Problems in Image Processing

3. Handbook of Mathematical Models in Computer Vision

4. Handbook of Mathematical Methods in Imaging

5. Nonlinear total variation based noise removal algorithms;Rudin;Physica D: Nonlinear Phenomena,1992

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