TY - JOUR
T1 - Scanning image stabilizing algorithm
T2 - Predicting scanning motion and jumping in advance
AU - Wang, Peng
AU - Zhao, Yue Jin
AU - Kong, Ling Qin
AU - Li, Bing
AU - Dong, Li Quan
PY - 2012/10
Y1 - 2012/10
N2 - A novel scanning image stabilizing algorithm, predicting scanning motion and jumping in advance, is proposed based on sensor electronic image stabilization to process active scanning and passive scanning problems in a camera system. Firstly, it uses a gyro to detect the motion situation of the camera system and estimate the offset of image sequences. Then, it judges whether the scanning motion is in the camera system based on the estimated offsets. If the scanning motion exists, the reference frame will be converted into the predicting frame which is a image after scanning. Finally, the electronic image stabilization is used to process the motion vectors of image sequences. The algorithm is different from traditional image stabilizing algorithm. It transforms the image stabilization from scanning model to un-scanning model, so it greatly simplifies the image stabilizing process and reduces the complexity of algorithm. Furthermore, the proper step size and cache reference frame improve the accuracy and reliability of the algorithm. The experimental result shows that the algorithm can output stable images, meanwhile can display the scanning motions of image sequences correctly.
AB - A novel scanning image stabilizing algorithm, predicting scanning motion and jumping in advance, is proposed based on sensor electronic image stabilization to process active scanning and passive scanning problems in a camera system. Firstly, it uses a gyro to detect the motion situation of the camera system and estimate the offset of image sequences. Then, it judges whether the scanning motion is in the camera system based on the estimated offsets. If the scanning motion exists, the reference frame will be converted into the predicting frame which is a image after scanning. Finally, the electronic image stabilization is used to process the motion vectors of image sequences. The algorithm is different from traditional image stabilizing algorithm. It transforms the image stabilization from scanning model to un-scanning model, so it greatly simplifies the image stabilizing process and reduces the complexity of algorithm. Furthermore, the proper step size and cache reference frame improve the accuracy and reliability of the algorithm. The experimental result shows that the algorithm can output stable images, meanwhile can display the scanning motions of image sequences correctly.
KW - Active scanning
KW - Gyro
KW - Passive scanning
KW - Sensor electronic image stabilization
UR - http://www.scopus.com/inward/record.url?scp=84869177010&partnerID=8YFLogxK
U2 - 10.3788/OPE.20122010.2268
DO - 10.3788/OPE.20122010.2268
M3 - Article
AN - SCOPUS:84869177010
SN - 1004-924X
VL - 20
SP - 2268
EP - 2274
JO - Guangxue Jingmi Gongcheng/Optics and Precision Engineering
JF - Guangxue Jingmi Gongcheng/Optics and Precision Engineering
IS - 10
ER -