title: Progressive compressive imaging from Radon projections.
abstract: In this work we propose a unique sampling scheme of Radon Projections and a non-linear reconstruction algorithm based on compressive sensing (CS) theory to implement a progressive compressive sampling imaging system. The progressive sampling scheme offers online control of the tradeoff between the compression and the quality of reconstruction. It avoids the need of a priori knowledge of the object sparsity that is usually required for CS design. In addition, the progressive data acquisition enables straightforward application of ordered-subsets algorithms which overcome computational constraints associated with the reconstruction of very large images. We present, to the best of our knowledge for the first time, a compressive imaging implementation of megapixel size images with a compression ratio of 20:1.
authors.affiliation: Department of Electro-Optical Engineering, Ben-Gurion University of the Negev, Israel.
authors.forename: Sergei
authors.initials: S
authors.lastname: Evladov
authors.forename: Ofer
authors.initials: O
authors.lastname: Levi
authors.forename: Adrian
authors.initials: A
authors.lastname: Stern