A New Image Fusion Method for Infrared and Visible Images Combining with Compressive Sensing Technology

摘要

Compressive sensing is a novel information theory proposed recently. It broke through the restrictions of the traditional Nyquist sampling theorem on the sampling frequency, which can only use fewer sampling signals to describe the original signals. This article introduces an image fusion algorithm based on compressive sensing, by measuring the original images with designed matrix, then fusing the images based on the value of image regional weighting. The experimental results show that compressive sensing theory can obtain fusion image effectively.