A novel image fusion approach combined singular value decomposition with averaging operation

Abstract

This paper presents a new image fusion algorithm, combined with business singular value decomposition (QSVD) with a simple average operation. Multi-focused image is the first averaging into a new image. The most error-contributing components in each error image are the most contribution to the portion of the image using QSVD Multi-focused to reduce mistakes. Each reduce error image, put forward a new kind of calculation singular vectors fusion image. Finally get to decide to fill each image fusion image through the calculation standard deviation. The experimental results, such as mutual information (MI), information entropy (IE), maintain edge information (Qabf) to the signal- noise-ratio (SNR) and root mean square error (RMSE) is used to assess algorithm. The experimental results show that the algorithm is a kind of high efficient development fusion algorithm. © 2013 Springer-Verlag.