56148 20200221144250.0 doi 10.1111/cgf.12819 sideral 95356 ART-2016-95356 eng (orcid)0000-0002-7796-3177 Serrano, A. Universidad de Zaragoza Convolutional sparse coding for high dynamic range imaging 2016 Access copy available to the general public Unrestricted Current HDR acquisition techniques are based on either (i) fusing multibracketed, low dynamic range (LDR) images, (ii) modifying existing hardware and capturing different exposures simultaneously with multiple sensors, or (iii) reconstructing a single image with spatially-varying pixel exposures. In this paper, we propose a novel algorithm to recover high-quality HDRI images from a single, coded exposure. The proposed reconstruction method builds on recently-introduced ideas of convolutional sparse coding (CSC); this paper demonstrates how to make CSC practical for HDR imaging. We demonstrate that the proposed algorithm achieves higher-quality reconstructions than alternative methods, we evaluate optical coding schemes, analyze algorithmic parameters, and build a prototype coded HDR camera that demonstrates the utility of convolutional sparse HDRI coding with a custom hardware platform. info:eu-repo/grantAgreement/ES/MINECO/Lightslice info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 1.611 2016 COMPUTER SCIENCE, SOFTWARE ENGINEERING 44 / 106 = 0.415 2016 Q2 T2 0.732 2016 Computer Networks and Communications 2016 Q1 Computer Graphics and Computer-Aided Design 2016 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Heide, F. (orcid)0000-0002-7503-7022 Gutierrez, D. Universidad de Zaragoza Wetzstein, G. (orcid)0000-0003-0060-7278 Masia, B. Universidad de Zaragoza 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 35, 2 (2016), 153-163 Comput. graph. forum COMPUTER GRAPHICS FORUM 0167-7055 584860 http://zaguan.unizar.es/record/56148/files/texto_completo.pdf Versión publicada 69050 http://zaguan.unizar.es/record/56148/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:56148 articulos driver 2020-02-21-13:27:23 ARTICLE