In this paper, a objective evaluation method for synthetic aperture radar jamming effect assessment is proposed, by which it can achieve an index consistent with perceptual property of Human Visual System (HVS). This method acts according to the Contrast Sensitivity Function (CSF) of HVS, as well as the characteristic of wavelet transformation which matches with the humanity vision system's multichannel model. Firstly wavelet decompositions of jammed image and the primitive image are accomplished, then in each subband, the wavelet transformation coefficients of these two images are used to accomplish correlation coefficient calculation, and the correlation coefficients in each subband are weighted by CSF functions mean value. Eventually the final index Wavelets Weighted correlation Coefficient (WWC) is obtained by nonlinear combing all weighted correlation coefficients acquired in former step. Simulation results show that the WWC index can not only reflect the degrade of SAR image with the increase of jamming energy but also reflect peoples subjective feelings in a better way compared with existed indices.