In order to improve the speed of super-resolution optical fluctuation imaging(SOFI) method, a modified SOFI algorithm is combined with light sheet fluorescence microscopy (LSFM). Two wavelet-based filters are utilized separately in the temporal and spatial domains to eliminate the low-frequency background noise and readout noise of the raw image, which successfully reduces the image amount that SOFI needs. And it is used to process 50 frames of raw images of quantum dot and zebrafish, respectively. The result shows that introducing improved SOFI algorithm can improve the lateral resolution of a LSFM two times without changing the optical structure, which can be expanded to the biological research of living samples and overcome the limitations of numerical aperture of objective lens for LSFM.