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Journals >
Acta Optica Sinica >
Volume 38 >
Issue 6 >
Page 0611001 > Article
Acta Optica Sinica
Vol. 38, Issue 6, 0611001 (2018)
A Method of Eliminating Artifacts in Focused Light Field Imaging
Runxing Liu, Mingjun Ren
*
, and Gaobo Xiao
Author Affiliations
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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DOI:
10.3788/AOS201838.0611001
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Runxing Liu, Mingjun Ren, Gaobo Xiao. A Method of Eliminating Artifacts in Focused Light Field Imaging[J]. Acta Optica Sinica, 2018, 38(6): 0611001
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Fig. 1.
Flow chart of sliding window fusion and adaptive median filtering based anti-aliasing algorithm
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Fig. 2.
Optical path of focused light field system
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Fig. 3.
Diagram of basic light field refocus algorithm
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Fig. 4.
Comparison of aliasing reducing in non-focusing area
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Fig. 5.
Flow chart of SWF algorithm
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Fig. 6.
Focal stacks and gradient stacks
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Fig. 7.
Aliasing reducing experiments. (a) w=5; (b) w=7; (c) w=11; (d) w=18
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Fig. 8.
Defocus response experiments. (a) Light field data; (b) defocus response of BR algorithm; (c) defocus response of MVF algorithm; (d) defocus response of proposed SWF+AMF algorithm
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Algorithm
w
=5
w
=7
w
=11
w
=18
BR
1
1
1
1
MVF
225
100
36
16
SWF+AMF
5041
4761
4225
3364
Table 1.
Light field maximum angle sampling number Nmax of each algorithm
Algorithm
Scene 1
Scene 2
Scene 3
Scene 4
Scene 5
Scene 6
Total
BR
0/3
0/3
0/3
0/3
0/3
0/3
0/18
MVF
0/3
1/3
0/3
0/3
0/3
0/3
1/18
SWF+AMF
3/3
3/3
3/3
3/3
3/3
3/3
18/18
Table 2.
Detection of defocus response (number of correct detection/number of total detection)
Abstract
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References (37)
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Runxing Liu, Mingjun Ren, Gaobo Xiao. A Method of Eliminating Artifacts in Focused Light Field Imaging[J]. Acta Optica Sinica, 2018, 38(6): 0611001
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Paper Information
Category: Imaging Systems
Received: Dec. 1, 2017
Accepted: --
Published Online: Jun. 7, 2018
The Author Email: Ren Mingjun (renmj@sjtu.edu.cn)
DOI:
10.3788/AOS201838.0611001
Recommended Topics
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