CAJ | 학술논문

针对目前视频去模糊方法难以处理大幅度相对运动模糊, 并且很难得到在时间和空间都保持一致性的去模糊结果的问题, 提出基于运动分割的视频去模糊方法. 基于视频序列清晰程度不同的前提下, 用视频中的清晰块恢复模糊帧. 根据模糊帧与其相邻的清晰帧的光流信息, 将2帧之间存在的相对运动分割为独立的处理对象; 不同运动对象分别估计模糊函数, 并利用该模糊函数将清晰帧模糊处理; 对模糊帧中的每一块区域, 在被模糊处理后的帧中查找最相似的区域, 利用对应清晰区域替换模糊区域; 不同区域之间采用纹理融合, 重建出清晰帧, 实现对视频中大幅度相对运动去模糊. 该方法基于并行思想设计和实现, 利用 GPU 并行能力完成加速. 实验结果证明, 采用该方法不仅速度快, 而且有效地解决了视频中大幅度相对运动模糊, 并可以保持运动对象纹理结构的完整性.
침대목전시빈거모호방법난이처리대폭도상대운동모호, 병차흔난득도재시간화공간도보지일치성적거모호결과적문제, 제출기우운동분할적시빈거모호방법. 기우시빈서렬청석정도불동적전제하, 용시빈중적청석괴회복모호정. 근거모호정여기상린적청석정적광류신식, 장2정지간존재적상대운동분할위독립적처리대상; 불동운동대상분별고계모호함수, 병이용해모호함수장청석정모호처리; 대모호정중적매일괴구역, 재피모호처리후적정중사조최상사적구역, 이용대응청석구역체환모호구역; 불동구역지간채용문리융합, 중건출청석정, 실현대시빈중대폭도상대운동거모호. 해방법기우병행사상설계화실현, 이용 GPU 병행능력완성가속. 실험결과증명, 채용해방법불부속도쾌, 이차유효지해결료시빈중대폭도상대운동모호, 병가이보지운동대상문리결구적완정성.
It is difficult to carry out large related motion blurs and keep both spatial and temporal coherent in deblurring results using existing video deblurring methods. In this paper, we propose a segmentation-based video deblurring method to deal with such large related motion blurs. Since the sharpness is varying on vid-eo frames, blurry frames can be restored by sharp patches. Our method firstly divides a blurring frame into several motion-based regions using optical flow between the blurring frame and its adjacent sharp frame. Then, the blur function is estimated for each region to blur sharp neighbor frame. Finally, we search the nearest patches from blurred sharp frames and restore the final results using region-based synthesis. To im-prove the efficiency, the method is implemented based on GPU acceleration. Experimental results demon-strate that our segmentation-based video deblurring method can remove blurry artifact effectively on real video sequences.