Real-time restoration of images blurred by uniform linear motion based on TMS320C6416
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To absolve image blur phenomena caused by relative motion between camera and objects,a real-time blur image restoration method is put forward,which contains the technique of optimum Wiener filter based on the fixed point DSP C6416.A new one dimension Wiener filter based on real number is brought forward and compared with other Wiener filters about the results of the contraposed experiments.On the flat of DSP C6416 with the frequency of 600MHZ,an image of 512×512 8 bit was blured first to provide the fuzzy one which was resumed by the optimum Wiener filter and cost 58ms per frame at the second step.The general one dimension Wiener filter need 90ms per frame and the two dimensions one need 253ms per frame.But the qualities of the resumed images are the same about the three methods.The results demonstrate that a 512×512 8 bit blured image can be resumed at the speed of 17 frames per second by the optimum Wiener filter,so the method satisfy the real time application.Supposed that the newly DSP C6416 with frequency of 1GHZ was used,the speed of it can reach 35ms per frame so it can arrive at the real time guideline of 25 frames per second.