Pixel-level image fusion based on multi-to-multi turbo iterative

A pixel-level image fusion method based on multi-to-multi turbo iterative is proposed. An innovative multi-to-multi image fusion idea is introduced in this paper. Undoubtedly, it´s impossible to cover all the information contained in several images by one image. So multi-to-multi image fusion system is much more reasonable than multi-to-one image fusion system. Based on this idea, getting several orthogonal images can provide a promising application in future. The local linear generative model method is expanded to get orthogonal images from the source images in this paper. In addition, turbo iterative essence is also adopted; two orthogonal fusion algorithms are used iteratively. The information from two algorithms is exchanged during the iterative process. This paper uses the wavelet based method and the expanded model based method which is mentioned above iteratively. Although the wavelet based fusion method can retain much detailed information, it is sensitive to noise. In contrast, the model based fusion method can control the noise well. With the multi-to-multi idea and turbo iterative being both adopted, the proposed image fusion method can get a better fusion result with more details and less noise. The experiments show a satisfying result.