Algorithm to estimate the degree of camera shaking and noise corruption

While acquiring the image, the shaking of the acquiring device or of the object seriously damages the acquired image. This phenomenon, which decreases the distinction of the image is called motion blur. In this paper, a newly defined function is introduced for finding the degree and the length of the motion blur. The domain of this function is called the Peak-trace domain. In the Peak-trace domain, the noise dominant region -for calculating the noise variance- and the signal dominant region -for extracting the degree and the length of the motion blur- are defined. Using the information of the Peak-trace in the signal dominant region, we can fastly find the direction of the motion blur with noise immunity. A new weighted least mean square method helps extracting the Peak-trace more precisely. After getting the direction of the motion blur, we can find the degree of the motion blur very fast using a one dimensional Cepstrum method. In our experiment, we could efficiently restore the damaged image using the informations we got by the above mentioned method.