合肥工业大学学报(自然科学版)
閤肥工業大學學報(自然科學版)
합비공업대학학보(자연과학판)
JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE)
2014年
11期
1317-1321
,共5页
数字稳像%块匹配法%未定义区域%卡尔曼滤波%模糊控制
數字穩像%塊匹配法%未定義區域%卡爾曼濾波%模糊控製
수자은상%괴필배법%미정의구역%잡이만려파%모호공제
digital image stabilization%block matching method%undefined region%Kalman filter%fuzzy control
经典卡尔曼滤波算法对存在复杂有意扫描运动的视频进行数字稳像时,稳像后的图像帧会出现较大未定义区域,为了解决该问题,文章提出了一种改进的数字稳像算法,并采用块匹配法估计相邻两帧图像的全局运动矢量,使用卡尔曼滤波器对全局运动矢量进行滤波,构造表征未定义区域大小的偏差量,并与滤波器残差相加作为新的残差,根据偏差的大小及其变化,采用模糊控制的方法控制偏差值对新残差的影响。实验结果表明,该方法能够有效滤除视频中的高频和低频抖动噪声,同时明显减小稳像后视频帧的未定义区域。
經典卡爾曼濾波算法對存在複雜有意掃描運動的視頻進行數字穩像時,穩像後的圖像幀會齣現較大未定義區域,為瞭解決該問題,文章提齣瞭一種改進的數字穩像算法,併採用塊匹配法估計相鄰兩幀圖像的全跼運動矢量,使用卡爾曼濾波器對全跼運動矢量進行濾波,構造錶徵未定義區域大小的偏差量,併與濾波器殘差相加作為新的殘差,根據偏差的大小及其變化,採用模糊控製的方法控製偏差值對新殘差的影響。實驗結果錶明,該方法能夠有效濾除視頻中的高頻和低頻抖動譟聲,同時明顯減小穩像後視頻幀的未定義區域。
경전잡이만려파산법대존재복잡유의소묘운동적시빈진행수자은상시,은상후적도상정회출현교대미정의구역,위료해결해문제,문장제출료일충개진적수자은상산법,병채용괴필배법고계상린량정도상적전국운동시량,사용잡이만려파기대전국운동시량진행려파,구조표정미정의구역대소적편차량,병여려파기잔차상가작위신적잔차,근거편차적대소급기변화,채용모호공제적방법공제편차치대신잔차적영향。실험결과표명,해방법능구유효려제시빈중적고빈화저빈두동조성,동시명현감소은상후시빈정적미정의구역。
When using the classical Kalman filter based digital image stabilization algorithm to remove the jitter in the video with complex intentional scanning motion ,the image of the processed video of‐ten presents large undefined region .To solve this problem ,an improved digital image stabilization al‐gorithm is proposed .The block matching method is used to estimate the global motion vector between two adjacent frames .The global motion vector is filtered with Kalman filter ,and a deviation which can characterize the size of the undefined area is constructed and added to the residual of the filter as the new residual .T he impact of the residual on the new residual is controlled by fuzzy control method based on the size and speed of the deviation .T he experimental results show that this method can ef‐fectively filter out the high and low frequency jitter noise in the video ,significantly reducing the unde‐fined region of the image in the processed video .