论文部分内容阅读
In this paper,an interesting fusion method,named as NNSP,is developed for infrared and visible image fusion,where non-negative sparse representation is used to extract the features of source images.The characteristics of non-negative sparse representation coefficients are described according to their activity levels and sparseness levels.Multiple methods are developed to detect the salient features of the source images,which include the target and contour features in the infrared images and the texture features in the visible images.