Regularization Rotational Motion Blur Image Restoration Based on Mixed Norm

DOI

10.2991/icismme-15.2015.199How to use a DOI?

Keywords

rotational blur; rotational model; alternative separable function algorithm.

Abstract

Motion blur is very common in the blurred images, and rotating motion blur is one kind of special and general fuzzy form. Based on the principles of linear motion blur restoration, to change the rotary motion into linear motion blur , this paper propose a regularization recovery mode which is equipped with a norm l1-l2, and with the help of alternative separable function algorithm to solve the model. As a result of the regularization method of norm l1-l2to the noise and ringing has a good inhibitory effect is that the recovery effect is very good.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yunchao Luo
AU  - Huaping Zhu
AU  - Yunyun Zhu
PY  - 2015/07
DA  - 2015/07
TI  - Regularization Rotational Motion Blur Image Restoration Based on Mixed Norm
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 944
EP  - 947
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.199
DO  - 10.2991/icismme-15.2015.199
ID  - Luo2015/07
ER  -