Visible and infrared image fusion based on multi-level method and image contrast improvement

An effective infrared and visible image fusion algorithm was propased. Based on Petrovi? multi-level image fusion system, firstly, it was enriched with the edge components from high-frequency information to get higher image quality. Secondly, a method to enhance the contrast of the fused image which make a further improvement in the image quality by analyzing characteristics and the physical characteristics of the targets in infrared and visible images was given. The subjective observation and comparison of objective indexes prove together that the proposed algorithm does a better job than other comparing methods and the contrast enhancement method can be widely used and improve the visible and infrared fused images' quality obviously.