Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Analysis of measurement matrices for a singlepixelcamera based on both theoretical and practical performance
 Buller, G.S. ; Society of PhotoOptical Instrumentation Engineers SPIE, Bellingham/Wash.: Emerging Imaging and Sensing Technologies for Security and Defence IV : 11 September 2019, Strasbourg, France Bellingham, WA: SPIE, 2019 (Proceedings of SPIE 11163) ISBN: 9781510630291 ISBN: 9781510630307 Paper 111630G, 11 S. 
 Conference "Emerging Imaging and Sensing Technologies for Security and Defence" <4, 2019, Strasbourg> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer IOSB () 
Abstract
Compressed Sensing provides an innovative imaging technique with fundamental differences to conventional imaging. A collection of lowresolution measurements is taken to reconstruct a picture with higher resolution computationally. The significant advantage is the small number of measurements and reduced number of measured pixels compared to the number of pixels in the reconstructed picture. This can be achieved because of sparsity. A realization of this concept is the singlepixelcamera, which uses a singlepixeldetector to measure only the brightness of the target scene after modulation with a digital micromirror device. Obviously, the patterns used for the modulation must satisfy certain properties. For example, the coherence of the measurement matrix containing those patterns is related to the performance of the camera. It seems efficient to construct matrices with optimal coherence or other performance parameters. Other approaches use specialized matrices depending on specific applications. This paper discusses the relation between the mathematical properties such as coherence and other parameters and the practical results from exemplary tests. Therefore matrices from different approaches are implemented and combined with a primaldualalgorithm.