Algorithm of Spatio-Temporal Combining Video Denoising Based on Structural Similarity

An algorithm of spatio-temporal combining video denoising based on structural similarity is proposed for the video surveillance system. By motion detection to multi-frame images with block structural similarity, this algorithm can adaptively distinguish the still regions and motion regions of video image. Temporal weighted average filter to the still regions and spatial ANL filter to the motion regions are used separately. Experimental results show that the proposed algorithm can improve the image quality and greatly reuduce the computation time.