Image Fusion Method of 9/7 Wavelet Transform Based on Lifting Scheme

An image fusion method of 9/7 wavelet transform based on lifting scheme is proposed. After the registration of multi-source sensor images, the obtained images are decomposed into several coefficients of low frequency and high frequency by using 9/7 wavelet transform based on lifting scheme. Aiming at the characteristic of the coefficients of low frequency and high frequency after decomposition, fusion rules based on local region are chosen to fuse the coefficients, and the fusion image is obtained by inverse wavelet transform based on lifting scheme. By means of designing simulation experiments using visible image and infrared image, the image fusion method of 9/7 wavelet transform based on lifting scheme is compared qualitatively and quantitatively with other three kinds of image fusion methods including weighted average, selecting maximum pixel gray value and Laplacian pyramid transform. Lots of experiments and comparisons with other fusion methods show that the effectiveness and superiority of image fusion method of 9/7 wavelet transform based on lifting scheme.