TY - GEN
T1 - A novel light field super-resolution framework based on hybrid imaging system
AU - Wu, Judong
AU - Wang, Haoqian
AU - Wang, Xingzheng
AU - Zhang, Yongbing
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - We propose a novel light field super-resolution framework based on hybrid imaging system, which combines two different imaging mechanisms: conventional imaging and current art-of-the-state imaging - light field imaging. We take advantage of conventional imaging in spatial resolution to make up light field and reconstruct a higher quality light field. In our method, we classify the points of the 3D scene: First, for highlight and occlusion, dictionary learning based interpolation is utilized, Second, for other areas, an improved patch matching algorithm is applied. As shown in experimental results, compared with four methods, which include the art-of-the-state algorithms, our approach is effective.
AB - We propose a novel light field super-resolution framework based on hybrid imaging system, which combines two different imaging mechanisms: conventional imaging and current art-of-the-state imaging - light field imaging. We take advantage of conventional imaging in spatial resolution to make up light field and reconstruct a higher quality light field. In our method, we classify the points of the 3D scene: First, for highlight and occlusion, dictionary learning based interpolation is utilized, Second, for other areas, an improved patch matching algorithm is applied. As shown in experimental results, compared with four methods, which include the art-of-the-state algorithms, our approach is effective.
KW - Dictionary learning
KW - Light field
KW - hybrid imaging system
KW - patch matching
KW - super-resolution
UR - https://www.scopus.com/pages/publications/84979082176
U2 - 10.1109/VCIP.2015.7457904
DO - 10.1109/VCIP.2015.7457904
M3 - 会议稿件
AN - SCOPUS:84979082176
T3 - 2015 Visual Communications and Image Processing, VCIP 2015
BT - 2015 Visual Communications and Image Processing, VCIP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Visual Communications and Image Processing, VCIP 2015
Y2 - 13 December 2015 through 16 December 2015
ER -