Accurate direction detection method of differentscale motion blurred images

In order to remove the highdynamic infection on image collection, a method based on the characteristic of Fourier spectrum was proposed to solve differentscale motions direction detection. This proposed method used the curvature radio to distinguish the difference between the smallscale or largescale motion. After that, the blurred direction with cepstrum domain or twice Fourier transform can be estimated by differentscale motion. Considering the ratio of the image and cross bright line, a method based on midvalue as a threshold to optimize the image was proposed to acquire the direction of the blurred motion. Experimental results show that proposed method can distinguish the differentscale motion effectively and can improve the precision of motion direction or scale estimation. The robustness of estimation algorithm is improved in comparison with other algorithms, the relative error rate is less than 0.02.