Fusion of color and infrared images using gradient transfer and total variation minimization | IEEE Conference Publication | IEEE Xplore

Fusion of color and infrared images using gradient transfer and total variation minimization


Abstract:

The objective of this paper is to propose an algorithm for fusion of images of two different image modalities, i.e., color visual image and its corresponding infrared (IR...Show More

Abstract:

The objective of this paper is to propose an algorithm for fusion of images of two different image modalities, i.e., color visual image and its corresponding infrared (IR) image. Fusion method is based on l1 total variation minimization technique, and it combines appearance detail and thermal information for a scene using visual and IR images, respectively. Moreover, the proposed method maintains the natural color of the visual image in the fused image. Normally, IR image highlights the camouflage or hidden target in a scene due to its thermal variations from other objects. Therefore, the fused image is more detailed single image than its constituent images, and it reveals the concealed information which is not visible in input images. Experimental results show the effectiveness of the algorithm.
Date of Conference: 11-14 July 2017
Date Added to IEEE Xplore: 23 October 2017
ISBN Information:
Conference Location: Krakow, Poland

Contact IEEE to Subscribe

References

References is not available for this document.