none 10.15446/ing.investig.v35n3.49868 Universidad Nacional de Colombia Universidad Nacional de Colombia 6146 81815296 255870 1460490080 10.15446 2024-03-12T13:26:41Z 2016-04-12T15:49:17Z 9 Ingeniería e Investigación ing.inv. 2248-8723 0120-5609 12 14 2015 35 3 Nelson Eduardo Diaz Hoover Fabian Rueda Chacon Henry Arguello Fuentes <p class="p1">The coded aperture snapshot spectral imaging system (CASSI) is an imaging architecture which senses the three dimensional informa-tion of a scene with two dimensional (2D) focal plane array (FPA) coded projection measurements. A reconstruction algorithm takes advantage of the compressive measurements sparsity to recover the underlying 3D data cube. Traditionally, CASSI uses block-un-block coded apertures (BCA) to spatially modulate the light. In CASSI the quality of the reconstructed images depends on the design of these coded apertures and the FPA dynamic range. This work presents a new CASSI architecture based on grayscaled coded apertu-res (GCA) which reduce the FPA saturation and increase the dynamic range of the reconstructed images. The set of GCA is calculated in a real-time adaptive manner exploiting the information from the FPA compressive measurements. Extensive simulations show the attained improvement in the quality of the reconstructed images when GCA are employed.  In addition, a comparison between traditional coded apertures and GCA is realized with respect to noise tolerance.</p> 12 14 2015 53 60 http://creativecommons.org/licenses/by/4.0 10.15446/ing.investig.v35n3.49868 http://revistas.unal.edu.co/index.php/ingeinv/article/view/49868 10.1364/josaa.28.002400 10.1109/TIP.2014.2310125 10.1109/TIP.2012.2222899 10.1109/MSP.2007.4286571 10.4171/022-3/69 10.1109/TIT.2006.871582 10.1109/JSTSP.2007.910281 10.1364/AO.49.006824 10.1364/AO.47.000B44 10.1364/OL.36.002692