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
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;
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
DOI :
10.1109/EEEI.2008.4736627
