A night vision color image fusion method based on statistical color transform technology in YUV color space

Abstract

Image fusion technology combines images from different sensors into one image to fully utilize sensors, thereby improving observation efficiency and streamlining the equipment. Unlike grayscale image fusion, color image fusion assigns images from the sensors into different color channels, emphasizing the image of each sensor and enhancing the ability to detect, recognize and remember the scene. In this paper, a method of night vision color image fusion based on statistical color transform technology in YUV color space is proposed. This method transfers the color statistical parameters of a real image to the fused image and selects the optimal fusion parameters to make it more realistic and enhance infrared target visibility. The evaluation, based on color statistical parameters and human eye observation, demonstrates the effectiveness of the proposed color image fusion method.