TY - JOUR
T1 - Geometrical superresolved imaging using nonperiodic spatial masking
AU - Borkowski, Arnikam
AU - Zalevsky, Zeev
AU - Javidi, Bahram
PY - 2009/3/1
Y1 - 2009/3/1
N2 - The resolution of every imaging system is limited either by the F-number of its optics or by the geometry of its detection array. The geometrical limitation is caused by lack of spatial sampling points as well as by the shape of every sampling pixel that generates spectral low-pass filtering. We present a novel approach to overcome the low-pass filtering that is due to the shape of the sampling pixels. The approach combines special algorithms together with spatial masking placed in the intermediate image plane and eventually allows geometrical superresolved imaging without relation to the actual shape of the pixels.
AB - The resolution of every imaging system is limited either by the F-number of its optics or by the geometry of its detection array. The geometrical limitation is caused by lack of spatial sampling points as well as by the shape of every sampling pixel that generates spectral low-pass filtering. We present a novel approach to overcome the low-pass filtering that is due to the shape of the sampling pixels. The approach combines special algorithms together with spatial masking placed in the intermediate image plane and eventually allows geometrical superresolved imaging without relation to the actual shape of the pixels.
UR - http://www.scopus.com/inward/record.url?scp=63349085322&partnerID=8YFLogxK
U2 - 10.1364/josaa.26.000589
DO - 10.1364/josaa.26.000589
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AN - SCOPUS:63349085322
SN - 1084-7529
VL - 26
SP - 589
EP - 601
JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision
JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision
IS - 3
ER -