Comparison of Motion-blurred Image Restoration Using Wiener Filter and Spatial Difference Technique

Motion blur of image is caused by relative motion between camera and photographed object during protographing. Motion-blurred image restoration is an important part of the image restoration. Image restoration is the process of recovering original image from its degraded version. This paper focuses on image restoration blurred by uniform linear motion. Principle of image restoration technique is introduced. Degradation model and blurred model of horizontal motion are analyzed. Two methods to solve image restoration caused by uniform linear motion are described in detail: Wiener filter in frequency domain and difference method in spatial domain. Comparisons are made between spatial method and the method in frequency domain. Experimental results on test image show that the spatial difference technique has better performance than the method based on Wiener filter