Segmentation-based image restoration for multiple moving objects with different motions
Sang Kyu Kang, Yoo Chan Choung, Joonki Paik · 2003
When a digital image acquisition system captures a scene, image degradation due to motion blur is unavoidable. Motion blur is caused by an imperfect imaging geometry, and it makes the obtained image lose important information. In this work we propose a new degradation model for boundary region between multiple moving objects. Based on the proposed model, we also propose a segmentation-based spatially adaptive image restoration algorithm. Accordingly, we present a proper segmentation algorithm and a motion estimation method for moving object.