Disparity Image Fusion Techniques

Abstract

There are lots of image fusion techniques that can be implemented to make high-resolution multispectral images from a high-resolution panchromatic image and low-resolution multispectral images. Starting from the physical principle of image formation, this paper presents a complete framework, the general image fusion (GIF) system, which makes it possible to catalogue, compare, and assess the existing image fusion methods. Using the GIF method, it views the pixel values of the high-resolution multispectral images are specified by the respective pixel values of the low-resolution panchromatic image, the rough estimate of the huge-resolution panchromatic image at the low-resolution phases. Many of the active image fusion system, together with, but not imperfect to, intensity-hue-saturation, Bovey transform, principal component analysis, high-pass filter, high-pass modulation, the a/splgrave/ trous algorithm-based wavelet transform, and Multi Resolution Analysis-Based Intensity Modulation (MRAIM), are evaluate and found to be particular cases of the GIF method. The presentation of every image fusion technique is supposedly analyzed based on how the equivalent low-resolution panchromatic image is computed and how the modulation coefficients are set. An experiment based on IKONOS images shows that there is consistency between the theoretical analysis and the experimental results and that the MRAIM method synthesize the images closest to those the equivalent multi sensors would study at the high-resolution level.