• DocumentCode
    2190935
  • Title

    Radio astronomical image formation using sparse reconstruction techniques

  • Author

    Levanda, Runny ; Leshem, Amir

  • Author_Institution
    Sch. of Eng., Bar-Ilan Univ., Ramat-Gan, Israel
  • fYear
    2008
  • fDate
    3-5 Dec. 2008
  • Firstpage
    716
  • Lastpage
    720
  • Abstract
    In this paper we present a sparse reconstruction algorithm for the deconvolution of radio astronomical synthesis images. We present the deconvolution problem as an ¿1 optimization. Using the sparsity of the astronomical image we obtain that the ¿1 reconstruction recovers the sparse image consistent with the observed data. We end up with a simulated example of the reconstruction, using a simulated radio telescope array.
  • Keywords
    astronomical image processing; deconvolution; image reconstruction; radioastronomical techniques; radiotelescopes; astronomical image reconstruction techniques; image deconvolution problem; radio astronomical image formation; radio telescope array; reconstruction; Computational complexity; Deconvolution; Entropy; Extraterrestrial measurements; Image coding; Image reconstruction; Instruments; Linear programming; Radio astronomy; Signal processing algorithms; Radio astronomy; deconvolution algorithm; images reconstruction; l1;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 2008. IEEEI 2008. IEEE 25th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4244-2481-8
  • Electronic_ISBN
    978-1-4244-2482-5
  • Type

    conf

  • DOI
    10.1109/EEEI.2008.4736627
  • Filename
    4736627
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2190935