Infrared and Visible Image Fusion via Hybrid Variational Model

Infrared and visible image fusion can combine the thermal radiation information and the textures to provide a high-quality fused image. In this letter, we propose a hybrid variational fusion model to achieve this end. Specifically, an l0 term is adopted to preserve the highlighted targets with salient gradient variation in the infrared image, an l1 term is used to suppress the noise in the fused image and an l2 term is employed to keep the textures of the visible image. Experimental results demonstrate the superiority of the proposed variational model and our results have more sharpen textures with less noise.