ZHANG Yuan, ZHONG Xing, JIN Guang, WANG Tian-cong. Super Resolution Reconstruction of Image Difference Based on CCD Staggered Arrays[J]. , 2011,26(6): 841-846
ZHANG Yuan, ZHONG Xing, JIN Guang, WANG Tian-cong. Super Resolution Reconstruction of Image Difference Based on CCD Staggered Arrays[J]. , 2011,26(6): 841-846DOI:
Super Resolution Reconstruction of Image Difference Based on CCD Staggered Arrays
The image resolution can be improved without increasing the requirement of optical imaging systems's parameters or decreasing the size of CCD pixel by staggered arrays technology
which arranges several CCDs in a specific mode.In this paper
an image super resolution method of improving the image resolution for 1.5 times both in two directions by 4 linear arrays staggered based on this technology was presented
which avoids the large computation in a single time by using circulation method. This method is proved effectively by the digital simulation
and a simulated experiment platform was constructed to test its feasibility. The image resolution is improved about 1.42 times of the unreconstructed image according to the imaging experiment of resolution chart
which is closed to 1.5 times in ideal case. Also
the reconstructed and unreconstructed images was evaluated by the image information entropy
which proves that the reconstructed image contains more information.
关键词
Keywords
references
龚卫国.《人脸识别技术》专题文章导读[J]. 光学 精密工程, 2008,16(8):1452-1453.[2] 梁路宏,艾海舟,徐光佑,等.基于模板匹配与人工神经网确认的人脸检测[J]. 电子学报, 2001,29(6):744-747.[3] 李华胜,杨桦,袁保宗.人脸识别系统中的特征提取[J]. 北方交通大学学报, 2001,25 (2):18-21.[4] 王聃,贾云伟,林福严.人脸识别系统中的特征提取[J]. 微计算机信息, 2005,21(11):53-55.[5] 黎新伍.基于BP神经网络的CRT显示器色彩管理新模型[J]. 液晶与显示, 2008,23 (2):235-240.[6] Rowley, H A, Baluja S, Kanade T. Neural network based face detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1998,20(1):23-38.[7] 黎奎,宋宇,邓建奇,等. 基于特征脸和BP神经网络的人脸识别[J]. 计算机应用研究, 2005,22 (6):236-237.[8] 孙艳丰,于永庆. 一种人眼瞳孔定位方法[J]. 北京工业大学学报, 2011,37(2):272-276.