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Image Fusion for Enhanced Vision System using Laplacian Pyramid

Aviation safety is the primary concern in this era of air travel. As a major step towards improving safety of air transport, a system called Integrated Enhanced and Synthetic Vision System (IESVS) is being developed at NAL, Bangalore. One of the sub-blocks that drive this system is the Enhanced Vision System (EVS). EVS uses visual feedback from two cameras mounted on aircraft nose that deliver real-time video streaming. These video streams are combined or ‘Fused’ to render an enhanced multi-spectral video stream that will enable the pilot to get a better view of the surroundings during poor visibility conditions. This paper discusses a detailed real-time implementation of the Laplacian Pyramid based fusion algorithm implemented on a C++ platform. The input images are acquired from Charge Coupled Device (CCD) (colour) and Infrared (IR) camera and passed into the algorithm. The captured images are registered using a suitable affine transform. The registered images are used for construction of their respective Laplacian pyramids and the two pyramids are fused. Using the output pyramid structure, the fused image is reconstructed. The base of the fused pyramid is obtained as the output of the Fusion algorithm. This fused image is then rendered using Open graphic library (OpenGL). Keywords— Laplacian Pyramid, Enhanced vision system, Image fusion, Image processing