An image fusion algorithm of infrared and visible imaging sensors for cyber-physical systems.

The rapid developments of computation, communication and control contribute to the generation of cyber physical systems (CPS). For full-time urban surveillance or military reconnaissance in complex environments, infrared and visible imaging sensors typically need to be integrated into the CPS. Furthermore, an effective and stable image fusion algorithm is important for CPS to provide images with rich information. Therefore, an image fusion algorithm for CPS is introduced in this paper. Compared with traditional multi-scale and multi-direction decomposition based algorithms, a more efficient MSMD based algorithm is proposed. Firstly, base layers reserved edges and detailed layers are obtained by multi-scale decomposition. Secondly, multi-direction decomposition is employed to base layers rather than detailed layers in traditional method. Then, serials of detailed layers and multi-directional base layers are obtained by choosing the max value based on patch. After the inverse transformation of multi-direction decomposition is conducted for multi-directional fused base layers, the reconstruction result is obtained via superposition of fused base and detail layers. Experiments prove that our algorithm outperforms the art-of-state. [ABSTRACT FROM AUTHOR]