基于方差的图像融合

Image fusion method base on variance

图像融合是一种信息综合处理技术,其目的是通过对多幅图像间冗余数据和互补信息的处理提高图像的可靠性和清晰度.作者提出了一种基于方差的图像融合方法,将源图像分割成若干块,选用块方差作为特征量,通过比较,选取效果好的分割块进行融合,并通过仿真实验证明了该方法具有可行性及较好的性能.此外,通过在医学领域的应用,说明了对图像融合技术研究的必要性.

Image fusion is an integrated information processing technology, which mainly aims at improving the reliability of images through processing the redundant information and the definition of images through processing complementary information among several images. The paper puts forward a new fusion method based on variance, which divides the original images into several parts and fuses the best ones. Experiments show that it can sustain useful information, realize the complementation of information and therefore have such advantages as simple arithmetic, fast runtime and better effect. And its application in medicine is also explored, which further supports the methods advanced in the paper.