“…Five fusion methods were also selected for comparison with the methods in this chapter, such as multiscale weighted gradient fusion (MWG), discrete cosine transform (DCT) based fusion, continuous ridge wave transform (Curvelet) based fusion, and NSCT-mPCNN fusion method and NSST-mPCNN fusion method. In this chapter, the number of decomposition directions of NSST is set to [4,4,3,3] and the non-downsampling pyramid is 'max flat'. m-PCNN parameters are set to, respectively α T = 0.012, σ = 1, V T = 4000, β = 0.1, ρ = 0.01, λ = 0.2, with a maximum number of iterations of 200, For the evaluation of fusion image quality, four objective evaluation parameters are chosen, namely information entropy (IE), standard deviation (STD), average grads (AG), and mutual information (MI), as shown in equations ( 17)- (20).…”