000183885 001__ 183885
000183885 005__ 20181114182313.0
000183885 037__ $$aCONF
000183885 245__ $$aA convex optimization approach for image recovery from nonlinear measurements in optical interferometry
000183885 269__ $$a2013
000183885 260__ $$c2013
000183885 336__ $$aConference Papers
000183885 520__ $$aImage recovery in optical interferometry is an ill-posed nonlinear inverse problem arising from incomplete power spectrum and bi-spectrum measurements. We formulate a linear version of the problem for the order-3 tensor formed by the tensor product of the signal with itself. This linear problem is regularized by standard convex \ell_1 relaxations of sparsity and low rank constraints and solved using the most advanced algorithms in convex optimization. We show preliminary results on small size synthetic images as a proof of concept.
000183885 6531_ $$aOptical Interferometry
000183885 6531_ $$aConvex optimization
000183885 6531_ $$aCIBM-SPC
000183885 6531_ $$aLTS2
000183885 6531_ $$aLTS5
000183885 700__ $$0246305$$g219025$$aAuría Rasclosa, Anna
000183885 700__ $$0245580$$g215293$$aCarrillo, Rafael
000183885 700__ $$aWiaux, Yves$$g163268$$0240427
000183885 7112_ $$dJanuary, 2013$$cVillars-sur-Ollon, Switzerland$$aInternational Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop
000183885 8564_ $$uhttp://baspfrontiers.epfl.ch/proceedings.php$$zURL
000183885 8564_ $$uhttps://infoscience.epfl.ch/record/183885/files/auriaBASP2013.pdf$$zn/a$$s271096$$yn/a
000183885 909C0 $$xU10954$$0252394$$pLTS5
000183885 909C0 $$pLTS2$$xU10380$$0252392
000183885 909CO $$pconf$$pSTI$$pGLOBAL_SET$$ooai:infoscience.tind.io:183885
000183885 917Z8 $$x215293
000183885 917Z8 $$x215293
000183885 917Z8 $$x215293
000183885 917Z8 $$x215293
000183885 917Z8 $$x215293
000183885 937__ $$aEPFL-CONF-183885
000183885 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000183885 980__ $$aCONF