Digital Image Processing
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Conventional researches on image restoration have focused on restoring blurred images to sharp images using frequency filtering or video coding for transferring images. In this paper, we proposes a method for recovering original images using camera motion and video information such as caption regions and scene changes. The method decides the direction of recovery using the caption information and scene change information. According to direction of recovery, a rough estimate of the direction and position of the original image is obtained using calculated motion vector from camera motion. Because the camera motion dose not reflects local object motion, some distortion can happen in the recovered image. To solve this problem, block matching algorithm that is applied in units of caption character components on the obtained recovery positions. Experimental results show that the case of images having little motions is well recovered. We see that the case of images having motion in complex background is also recovered.