Pixel level image fusion based on linear structure tensor

Abstract

A pixel-level image fusion method based on linear structure tensor is proposed within wavelet framework. Structure tensor, which describes local structure information with its eigenvalues and eigenvectors, is adopted to design a feature selection algorithm to reconstruct high-frequency wavelet coefficients of fused image. Experimental results on grayscale and color images show that the linear structure tensor based fusion scheme can preserve more details.