A new method based on wavelet transform for multi-sensor image fusion is presented in this paper.The sensor noise is introduced into linear fusion model.At first
the fusion coefficients of multiple sensors are given based on the maximization of local variance of the desired fusion image.Then
the desired fusion image is estimated by using the multi-sensor images and the fusion coefficients.The experiment results demonstrate that this method can greatly reduce sensor noise and achieve better fusion performance.