Motion-blurred image deblurring of fast moving target

In the process of a single motion-blurred image restoration, it is difficult to estimate point spread function(PSF) and the ill-posed deconvolution will affect restoration result. Considering that several different PSFs can get joint invertibility to make deblurring well-posed, it was proposed that the motion-blurred images of different PSFs could be obtained by multiple cameras with same parameters to shoot continuously at high speed moving target in one field of view. The images had the same brightness, different exposure time, and different motion blur. The PSFs were easy to be estimated by consecutive frames. According to the motion-blurred character of the target and background imaging pixels, complete convolution blurred images of the target could be extracted from the observation images respectively. Finally, the target image was recovered by iterative restoration in the spatial domain by multiple images joint solution. Experiments show that the method only needs common hardware, and the obtained images can help more exact image restoration by joint PSFs solution. And the restoration results maintain details well and have lower signal noise ratio (SNR).