TY - GEN
T1 - Neighbor combination for atmospheric turbulence image reconstruction
AU - Gong, Dong
AU - Zhang, Yanning
AU - Dang, Shaobo
AU - Sun, Jinqiu
PY - 2013
Y1 - 2013
N2 - In this paper, we propose a novel neighbor combination framework for the reconstruction of the atmospheric turbulence degenerated image sequence. To utilize the spatial and temporal redundancy, a neighbor vector sampling strategy in spatial and temporal domain is conducted relying on the modeling of the registered sequence. Then, a combinator of neighbor vectors is developed based on a resampling maximum likelihood model and a relative approximation. Relying on the neighbor combination and spatial-invariant deconvolution, a clear image is reconstructed. Experiments on real data sets demonstrate the effectiveness of this framework.
AB - In this paper, we propose a novel neighbor combination framework for the reconstruction of the atmospheric turbulence degenerated image sequence. To utilize the spatial and temporal redundancy, a neighbor vector sampling strategy in spatial and temporal domain is conducted relying on the modeling of the registered sequence. Then, a combinator of neighbor vectors is developed based on a resampling maximum likelihood model and a relative approximation. Relying on the neighbor combination and spatial-invariant deconvolution, a clear image is reconstructed. Experiments on real data sets demonstrate the effectiveness of this framework.
KW - atmospheric turbulence
KW - image patch detection
KW - Image reconstruction
KW - image sequence analysis
KW - maximum likelihood estimation
UR - http://www.scopus.com/inward/record.url?scp=84897798385&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2013.6738280
DO - 10.1109/ICIP.2013.6738280
M3 - 会议稿件
AN - SCOPUS:84897798385
SN - 9781479923410
T3 - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
SP - 1361
EP - 1365
BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PB - IEEE Computer Society
T2 - 2013 20th IEEE International Conference on Image Processing, ICIP 2013
Y2 - 15 September 2013 through 18 September 2013
ER -