Improved Adaptive Brovey as a New Method for Image Fusion

TL;DR

This paper introduces an improved adaptive Brovey method that combines contourlet-based fusion to enhance image fusion quality, preserving spectral information while reducing color distortion.

Contribution

It presents a novel fusion approach integrating Brovey and contourlet techniques, improving spectral preservation and spatial resolution over existing methods.

Findings

Enhanced fusion quality in terms of correlation coefficient

Reduced spectral distortion as shown by ERGAS and UIQI

Outperformed IHS, PCA, and adaptive methods in experiments

Abstract

An ideal fusion method preserves the Spectral information in fused image and adds spatial information to it with no spectral distortion. Among the existing fusion algorithms, the contourlet-based fusion method is the most frequently discussed one in recent publications, because the contourlet has the ability to capture and link the point of discontinuities to form a linear structure. The Brovey is a popular pan-sharpening method owing to its efficiency and high spatial resolution. This method can be explained by mathematical model of optical remote sensing sensors. This study presents a new fusion approach that integrates the advantages of both the Brovey and the cotourlet techniques to reduce the color distortion of fusion results. Visual and statistical analyzes show that the proposed algorithm clearly improves the merging quality in terms of: correlation coefficient, ERGAS, UIQI, and Q4; compared to fusion methods including IHS, PCA, Adaptive IHS, and Improved Adaptive PCA.