Abstract: For strong noise of low-light video surveillance image, a new image noise reduction algorithm based on motion detection is proposed. The property of the noise of low-light video surveillance image is studied and the image is divided into 8×8 motion pixels blocks and still pixels blocks by a kind of threshold motion detection algorithm. An improved Wiener filter is designed and implemented for noise reduction of motion pixels blocks. The compact algorithm of mathematical morphology and median filtering for noise reduction of still pixels blocks is designed. Experimental results show that the time complexity of the algorithm is about O(n) and the value of PSNR and DV/BV of image after noise reduction is higher than other algorithms. This proves the time complexity of the image noise reduction algorithm is low, while the image noises are well reduced and there is little loss in the resolution of image.
image noise reduction,