Blind Image Separation Based on an Optimized Fast Fixed Point Algorithm

DOI

10.2991/iccia.2012.20How to use a DOI?

Keywords

independent component analysis, fast fixed point algorithm, negentropy, Newton iteration, nongaussianity

Abstract

An optimized fast fixed point algorithm based on modified Newton iteration method has been proposed. With good performance of the blind image separation, the optimized algorithm can improve the convergence speed greatly. We proposed a new adaptive enhancement parameter to enhance the separated images effectively. The experimental results demonstrate that the new algorithm is superior.

Copyright

© 2013, 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  - Wei Yuan
AU  - Liyi Zhang
PY  - 2014/05
DA  - 2014/05
TI  - Blind Image Separation Based on an Optimized Fast Fixed Point Algorithm
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 85
EP  - 88
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.20
DO  - 10.2991/iccia.2012.20
ID  - Yuan2014/05
ER  -