Computational ghost imaging: advanced compressive sensing (CS) technique

Vladimir Katkovnik; Jaakko Astola

doi:10.1117/12.965879

11 September 2012 Computational ghost imaging: advanced compressive sensing (CS) technique

Vladimir Katkovnik, Jaakko Astola

Proceedings Volume 8413, Speckle 2012: V International Conference on Speckle Metrology; 84130N (2012) https://doi.org/10.1117/12.965879
Event: SPECKLE 2012: V International Conference on Speckle Metrology, 2012, Vigo, Spain

Abstract

A novel efficient variational technique for speckle imaging is discussed. It is developed with the main motivation to filter noise, to wipe out the typical diffraction artifacts and to achieve crisp imaging. A sparse modeling is used for the wave field at the object plane in order to overcome the loss of information due to the ill-posedness of forward propagation image formation operators. This flexible and data adaptive modeling relies on the recent progress in sparse imaging and compressive sensing (CS). Being in line with the general formalism of CS, we develop an original approach to wave field reconstruction.⁷ In this paper we demonstrate this technique in its application for computational amplitude ghost imaging (GI), where a spatial light modulator (SLM) is used in order to generate a speckle wave field sensing a transmitted mask object.

Citation Download Citation

Vladimir Katkovnik and Jaakko Astola "Computational ghost imaging: advanced compressive sensing (CS) technique", Proc. SPIE 8413, Speckle 2012: V International Conference on Speckle Metrology, 84130N (11 September 2012); https://doi.org/10.1117/12.965879

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