Wavelet-based fusion of noisy multispectral images using Spatial Oriented Trees

The new wavelet-based fusion method of noisy multispectral images based on logical processing of Spatial Oriented Trees (SOTs) is suggested. The fused image is formed as the result of SOTs nonlinear approximations of the input images by analysis of the normalized SOT curves of corresponding wavelet coefficients. The results of modeling have shown the advantage of the proposed fusion method comparing with well-known fusion procedures under PSNR and SSIM criteria.