Fusion of Visible and Infrared Image Using Adaptive Tetrolet Transform

A new region-based image fusion technique using the adaptive tetrolet transform is proposed to produce a fused image better for human and machine interpretation. Firstly, the visible image and infrared image can be decomposed into low-frequency and high-frequency coefficients using tetrolet transform. For the low-frequency coefficients, the average fusion method is used. For the each directional high frequency sub-band coefficients, the larger region edge information measurement factor is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused tetrolet coefficients. Experimental results show that the proposed algorithm gives more satisfactory results than the traditional image fusion algorithms in preserving the edges and texture information.