Digital Signal Transformation and Computer Image Processing and Analysis Based on Multi-sensor Image Fusion

DOI

10.2991/mmebc-16.2016.84How to use a DOI?

Keywords

Nanometer materials; sensor; image fusion; NSCT; PCNN.

Abstract

Image Fusion Technology is widely applied in various fields with the continuous development of image sensor technology. This study puts forward an image fusion algorithm based on Pulse Coupled Neural Network (PCNN) and Non Subsampled Contourlet Transform (NSCT). The algorithm does not make simultaneous use of PCNN on high frequency sub-band and low frequency sub-band. The fusion algorithm applied in fusion of low frequency sub-band coefficients is specifically designed for the high requirement on image definition of low frequency sub-band which can realize the fusion of local definition and marginal area energy. While the algorithm applied in fusion of high frequency sub-band coefficients takes bigger absolute values of coefficients, which is obtained from the highest level sub-band that can completely preserve marginal information showing images. For other hierarchies, PCNN fusion method which takes the spatial frequency as coefficient of connection is selected, so as to improve the visual features of fusion results.

Copyright

© 2016, 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  - Fang Li
PY  - 2016/06
DA  - 2016/06
TI  - Digital Signal Transformation and Computer Image Processing and Analysis Based on Multi-sensor Image Fusion
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 399
EP  - 404
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.84
DO  - 10.2991/mmebc-16.2016.84
ID  - Li2016/06
ER  -