Enhanced geometrical superresolved imaging with moving binary random mask

Amikam Borkowski, Zeev Zalevsky, Emanuel Marom, Bahram Javidi

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)566-575
Number of pages10
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume28
Issue number4
DOIs
StatePublished - Apr 2011

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