Experimental validation of 2-D generalized geometric super resolved approach

Amikam Borkowski, Zeev Zalevsky, Nadav Cohen, Zadok Hadas, Emanuel Marom, Bahram Javidi

Research output: Contribution to journalArticlepeer-review


In this paper, we generalize the method of using a 2-D moving binary random mask to overcome the geometrical resolution limitation of an imaging sensor. The spatial blurring is caused by the size of the imaging sensor pixels which yield insufficient spatial sampling. The mask is placed in an intermediate image plane and can be shifted in any direction while keeping the sensor as well as all other optical components fixed. Out of the set of images that are captured and registered, a high resolution image can be composed. In addition, this proposed approach reduces the amount of required computations and it has an improved robustness to spatial noise.

Original languageEnglish
Pages (from-to)179-186
Number of pages8
JournalOptics Communications
StatePublished - 2014


  • Fourier optics
  • Image reconstruction
  • Random mask
  • Super resolution


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