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.
© 2009 Optical Society of America
Original Manuscript: June 11, 2008
Revised Manuscript: November 2, 2008
Manuscript Accepted: November 11, 2008
Published: February 20, 2009
Amikam Borkowski, Zeev Zalevsky, and Bahram Javidi, "Geometrical superresolved imaging using nonperiodic spatial masking," J. Opt. Soc. Am. A 26, 589-601 (2009)