Optics and Precision Engineering, Volume. 22, Issue 8, 2026(2014)
Simulation of geometric superresolution imaging by using optical mask
[1] [1] ZALEVSKY Z, MICO V, GARCIA J. Nanophotonics for optical superresolution from an information theoretical perspective: a review [J]. Journal of Nanophotonics, 2009, 3(1): 1-18.
[2] [2] PELEG S, KEREN D, SCHWEITZER L. Improving image resolution using subpixel motion [J]. Pattern Recognition Letters, 1987, 5(3): 223-226.
[3] [3] SOLOMON J, ZALEVSKY Z, MENDLOVIC. Geometric superresolution by code division multiplexing [J]. Applied Optics, 2005, 44(1): 32-40.
[4] [4] SOHAIL M, MUDASSAR A A. Geometric superresolution by using an optical mask [J]. Applied Optics, 2010, 49(16):3000-3006.
[5] [5] SOHAIL M, MUDASSAR A A. Geometric superresolution using an optical rectangular mask [J]. Optical Engineering, 2012, 51(1): 1-6.
[6] [6] ZALEVSKY Z, SHAMIR N, MENDLOVIC D. Geometrical superresolution in infrared sensor: experimental verification [J]. Optical Engineering, 2004, 43(6):1401-1406.
[7] [7] BORKOWSKI A, ZALEVSKY Z, JAVIDI B. Geometrical superresolved imaging using nonperiodic spatial masking [J]. J. Opt. Soc. Am. A, 2009, 26(3):589-601.
Get Citation
Copy Citation Text
LIU Jing-dan, XU Ting-fa, XUN Xian-chao, LIU Zi-wei, WANG Hong-qing, RAO Zhi-tao. Simulation of geometric superresolution imaging by using optical mask[J]. Optics and Precision Engineering, 2014, 22(8): 2026
Category:
Received: Sep. 25, 2013
Accepted: --
Published Online: Sep. 15, 2014
The Author Email: Jing-dan LIU (superdan1988@126.com)