Study on Optimal Wavelet Decomposition Level in Infrared and Visual Light Image Fusion

Wavelet technology in image fusion has a good convergence effect compared with other fusion method. The main impact factors of image fusion effects were wavelet function and wavelet decomposition layers. According to the wavelet transform theory, infrared and visual light images were decomposed 1-5 layers respectively by using different wavelet function; and then under the principle of inverse wavelet transform, fused images were obtained. Finally, the image quality evaluation methods such as information entropy, standard deviation, mutual information, and image fusion quality assessment were used to evaluate the fused images under different decomposition layers. Experimental results show that one layer of wavelet decomposition owns the best results in image fusion.