In order to achieve real-time imaging with superresolution optical fluctuation imaging (SOFI), a novel SOFI algorithm combined with image filtering is proposed. Muti-frame images should be filtering processing, and the super-resolution images with high signal-noise ratio are obtained utilizing SOFI algorithm depending on temporal self correlations of fluorescent particles in muti-frame images. The result show that the SOFI algorithm based on spatial Gaussian filter can get a high signal-noise ratio super-resolution image from the low signal-noise ratio image sequences, and the calculating speed can be accelerated to 2.3 times, comparing different filters, weighing denoising effect and image resolution.