title: Enhanced geometrical superresolved imaging with moving binary random mask.
abstract: In this paper, we address the geometrical resolution limitation of an imaging sensor caused by the size of its pixels yielding insufficient spatial sampling of the image. The spatial blurring that is caused due to inadequate sampling can be resolved by placing a two-dimensional binary random mask in an intermediate image plane and shifting it along one direction while keeping the sensor as well as all other optical components fixed. Out of the set of images that are captured, a high resolution image can be decoded. In addition, this approach allows improved robustness to spatial noise.
authors.affiliation: School of Engineering, Tel-Aviv University, 69978 Tel-Aviv, Israel.
authors.forename: Amikam
authors.initials: A
authors.lastname: Borkowski
authors.forename: Zeev
authors.initials: Z
authors.lastname: Zalevsky
authors.forename: Emanuel
authors.initials: E
authors.lastname: Marom
authors.forename: Bahram
authors.initials: B
authors.lastname: Javidi