Acta Optica Sinica, Volume. 30, Issue 1, 86(2010)
An Improved High-Resolution Reconstruction Algorithm for Staring Infrared Image
[2] [2] John Lester Miller,John Wilste. Benefits of microscan for staring infrared imagers[C]. SPIE,2004,5407:127-138
[6] [6] Su Binghua,Jin Weiqi. Super-resolution image restoration algorithm based on Possion-Markov model[J]. Acta Electronica Sinica,2003,31(1):41-44
[8] [8] Xu Chao,Jin Weiqi,LI Yadong et al.. An improved sub-piexl processing algorithm based on focal plane detector[J]. Acta Electronica Sinica,2007,35(8):1608-1611
[10] [10] Stadtmiller T,Gillette J,Hardie R. Reduction of aliasing in staring infrared imagers utilizing sub-pixel techniques[J]. Proc. IEEE,1995,2:874-880
[11] [11] Zhou Jie,Zou Shidi,Li Ming et al.. A layered group key distribution scheme based on the Lagrange interpolation polynomial[J]. J. Xiamen University(Natural Science),2007,46(2):75-78
[12] [12] Chen Guiqiang,Wang Liqin,Li Yujian. Color image sharing method based on Lagrange′s interpolating polynomial[J]. Computer Measurement & Control,2008,16(7):1030-1032
[13] [13] Han Yubing,Wu Lenan. Super resolution reconstruction of video sequence based on adaptive filter[J]. Chinese J. Computers. 2006,29(40):642-647
[14] [14] Yang Yunfeng,Hu Jinyan. Image interpolation algorithm based on spline function[J]. J. Daqing Petroleum Institute,2005,29(5):88-89
Get Citation
Copy Citation Text
Bai Junqi, Chen Qian, Wang Xianya. An Improved High-Resolution Reconstruction Algorithm for Staring Infrared Image[J]. Acta Optica Sinica, 2010, 30(1): 86
Category: Image Processing
Received: Feb. 20, 2009
Accepted: --
Published Online: Feb. 1, 2010
The Author Email: Junqi Bai (baijunqi168@yahoo.cn)