Gulen, Seden HazalTrocan, MariaToreyin, Behcet UgurAlaydin, Julide Gulen2020-04-192025-09-182020-04-192025-09-18201497814799487412165-0608https://doi.org/10.1109/SIU.2014.6830726https://hdl.handle.net/20.500.12416/12721Toreyin, Behcet Ugur/0000-0003-4406-2783The purpose of the paper is to find the best quantizer allocation for compressed-sensed acquired images, by using a graph-cut quantizer allocation method. The compressed sensed acquisition is realized in a block-based manner, using a random projection matrix, and on the obtained block measurements a graph-cut-based quantizer allocation method is applied, in order to further reduce the bitrate associated to the measurements. Finally, the quantized measurements are reconstructed using a Smooth Projected Landweber recovery method. The proposed compression method for compressed sensed acquisition shows better results when compared to JPEG2000.eninfo:eu-repo/semantics/closedAccessConference Object10.1109/SIU.2014.68307262-s2.0-84903788902