Alaydin, Julide GulenTöreyin, Behçet UğurGulen, Seden HazalTrocan, MariaToreyin, Behcet UgurElektrik-Elektronik Mühendisliği2020-04-192020-04-19201497814799487412165-0608https://doi.org/10.1109/SIU.2014.6830726Toreyin, 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 Object2310231310.1109/SIU.2014.68307262-s2.0-84903788902WOS:000356351400555N/AN/A