The Implementation on the Restoration of Motion-Blurred Images of Ochotona Curzoniae

Ochotona curzoniae is one of the main creature calamities in Qinghai-Tibet Plateau. With the development of advanced biological recognition technologies, a new scientific method is provided for the Ochotona curzoniae´s research using the automatic identification system of the Ochotona curzoniae. But due to the relative motion between the object and the video camera, the obtained image of Ochotona curzoniae is often blurred in the process of image acquisition. The technology of image restoration can eliminate the blur of image and improve the quality of image. In this paper, on the basis of the analysis of the degradation model of motion blurred image and the restoration process of motion blurred image, the methods of image restoration of motion blurred image of Ochotona curzoniae are studied and implemented. The motion blurred images of Ochotona curzoniae are restored by the methods of inverse filter, Wiener filter and constrained least squares to improve the quality of the image of Ochotona curzoniae to better carry out the follow-up feature extraction and target recognition.