CTu1C.2.pdf Imaging and Applied Optics © OSA 2013 Single Pixel Compressive Imaging of Laboratory and Natural Light Scenes Stephen J. Olivas, 1 Yaron Rachlin, 2,3 Lydia Gu, 2,4 Brian Gardiner, 2 Robin Dawson, 2 Juha-Pekka Laine 2 and Joseph E. Ford 1 1 Photonic Systems Integration Laboratory, Electrical Engineering Department University of California at San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA. 2 The Charles Stark Draper Laboratory, Inc., 555 Technology Square, Cambridge, Massachusetts 02139, USA. 3 Currently with MIT Lincoln Laboratory, 244 Wood Street, Lexington, MA 02420-9108 USA. 4 Currently with Cogito Health, 7 Water Street, Suite 400, Boston, MA 02109 USA. Contact: Stephen J. Olivas tel: 858.822.4406 fax: 858.534.1225 email:sjolivas@ucsd.edu Abstract: We evaluate the performance of a compressive imager using multiple basis sets on monochromatic, color and infrared natural light scenes, and compare the results to a camera with the same number of (conventional pixel) measurements. © 2013 Optical Society of America OCIS codes: 110.0110 Imaging systems, 100.0100 Image processing and 110.1758 Computational imaging. Traditional cameras capture one measurement per pixel then discard much of the data during compression, whereas compressive imaging (CI) systems acquire comparably fewer spatially filtered scene measurements from which to reconstruct an image [1]. This eliminates processing unused data, making CI more efficient. Several system designs have been considered [2] as well as custom sensor implementations [3].CI is based the idea that by sampling an image with random basis set, the sparsest solution can be found. We explore this mode of operation as well as one in which lower spatial frequencies are selectively sampled, making it tailored to the statistical distribution of natural images [4], given by S( f )= f -γ , where 1.8 < γ < 2.3. To do so, we assembled and characterized a single-pixel CI system [5,6] (Fig. 1) and compared it to a conventional imager using both laboratory and outdoor natural light scenes. Fig. 1. (Left) System schematic: a scene is imaged onto a spatial light modulator (SLM) which redirects the weighted scene energy to a photodiode for measurement acquisition. (Center) Photo of the CI system. (Right) Photo of CI system taking outdoor natural light images. 1. System Design and Configuration A computer running Digital Light Innovation’s Accessory Light-modulator Package (ALP) software was used to up- load previously generated PNG transform basis image files to the Discovery D4100 controller board via a USB 2.0 link, which in turn controls the Texas Instruments digital micro-mirror device (DMD) chip. A Newport Optics Corpo- ration photo-detector 918D-SL was used to measure light intensity collected from the DMD and send it to a Newport