| Motion blurred image restoration is an important branch in the digital image processing, which has been widely used in various fields as production and living, spaceflight, and intelligent transportation. The restoration of uniform linear motion blurred image, the degradation mode of which has a universal significance, is discussed in details in this paper.The key point to restore a degraded image is to establish the degradation model appropriately and identify the blur parameters accurately. Firstly, the degradation model is established according to the features of a uniform linear motion blurred image, which reveals that the point spread function of a degradation model is determined by the motion blur direction and blur length.Parallel-arranged dark strips, the generation of which has a particular relationship with the motion blur parameters; can be found in the spectrum of a uniform linear motion blurred image. The mechanism of the generation of parallel-arranged dark strips is analyzed in details in this paper, through which the point spread function (PSF) and the 2-d discrete expression of degraded images are deduced, and through which the correct relationship between linear motion blur parameters and the orientation and space of the dark stripes are found. The Radon transform and Projection transform are used respectively to detect the orientation of strips and the space between strips, and parameters blur angle and blur length of the degraded image are determined consequently.Through the analysis of degradation principle of local degraded image, an image preprocessing method for a local degraded image is presented in this paper, through which a practical degraded motion blurred image that usually has significant ringing effect after being restored by using wiener filtering can have a similar quality with stimulated image, and the effectiveness of which has been proved in improving the restoration quality of degraded image with simple background. |
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