Color Image Fusion Based on Laplacian Pyramid Transform and CLAHE Technology

A color image fusion algorithm based on Laplacian pyramid transform and CLAHE technology is proposed for improving the quality of color infrared image and color visible light image fusion. Firstly, the gray scale transformation is applied to the color infrared image for grayscale image, and an enhanced infrared grayscale image is obtained by CLAHE technology. Secondly, the color visible light image is converted into Y, I and Q components through YIQ color transformation. The enhanced infrared grayscale image and Y component in front are fused using pyramid decomposition as the Y component of the fused image. Finally, the Y component is subjected to YIQ inverse transformation with the I and Q components of the color visible light image to obtain the final fused image. Simulation experiments show that algorithm proposed can effectively maintain the detailed texture information and color information of the source image, improve the objective indicators such as mean, information entropy, average gradient and spatial frequency. It is an effective color image fusion algorithm.