The paper proposes a deblurring algorithm for moving objects.The blurred image was divided into a motion blur layer and a non-motion blur layer to reduce the influence of non-moving object areas on deblurring.The local linear motion was used to model the motion blur layer and estimate the blur kernel of each image block,and the non-blind deconvolution was used to solve the clear image.The experimental results show that compared with other traditional algorithms,the average peak signal-to-noise ratio is improved by 12.11 dB on synthetic images,and better results are also obtained on natural images.
万方数据
维普
