As an important factor influencing image quality,noise can blur characteristic details and reduce the signal to noise ratio,thus make the denoising critical in image processing.A wavelet frame based Poisson denoising model for color images is proposed in this paper,where the weighted l² is chosen as fidelity term and the l¹ item containing wavelet frame as a regularization item,while the reweighted split Bregman algorithm is employed to solve this model.Numerical experiments are carried out and PSNR indicators are used to assess the denoising effect of the proposed model.Results show that the algorithm is feasible and effective.