For the fusion of multi-focus images of the same scene, a novel algorithm is proposed based on the multiscale products in lifting stationary wavelet domain. The selection principles of the low frequency subband coefficients and bandpass subband coefficients are discussed respectively. When choosing the low frequency subband coefficients, we present a scheme based on a new sum modified-laplacian combined with the selection and weighted scheme. When choosing the high frequency subband coefficients, local modified Laplacian is proposed based on multiscale products according to enhancing edges structure of multiscale products while weakening noise. Then, we present a selection principle based on the local modified Laplacian. The experiments show that the algorithms proposed in the paper can not only extract all the useful information of the source images and transfer to the fused images, but also effectively restrain the noise influence. Compared with the traditional methods, a better performance is obtained in terms of both visual qualities.