An Image Fusion Algorithm Based on Local Laplasse Filter

DOI

10.2991/ameii-16.2016.114How to use a DOI?

Keywords

Image fusion, multi scale, local Laplasse filter, detail layer, smooth layer, edge information

Abstract

To deal with the problem of smooth image progressing on the edge, presents a multi scale image fusion algorithm (SLP). The algorithm is based on the local Laplasse filter. First of all, using the local Laplasse filter, the images are decomposed into detail layers and smooth layers. Secondly, the detail layers of the two images are transformed into a fusion rule map by using the sigmoid function, fuse the detail layer according to the map can get the information of the images; Fusing the smooth layers by mean value method can get the picture of the images. Finally, merging the detail layer and smooth layer to generate a clear picture of all the scenes. The algorithm can not only preserve the edge information, but also can reduce the image noise and preserve the image edge details effectively. Experimental results show that the proposed algorithm is superior to Principal Component Analysis(PCA), Ratio pyramid(RP), Morphological pyramid(MP) in terms of performance.

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  - Shuai Jiang
AU  - Xiongfei Li
AU  - Xiaoli Zhang
PY  - 2016/04
DA  - 2016/04
TI  - An Image Fusion Algorithm Based on Local Laplasse Filter
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 571
EP  - 577
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.114
DO  - 10.2991/ameii-16.2016.114
ID  - Jiang2016/04
ER  -