000056148 001__ 56148 000056148 005__ 20200221144250.0 000056148 0247_ $$2doi$$a10.1111/cgf.12819 000056148 0248_ $$2sideral$$a95356 000056148 037__ $$aART-2016-95356 000056148 041__ $$aeng 000056148 100__ $$0(orcid)0000-0002-7796-3177$$aSerrano, A.$$uUniversidad de Zaragoza 000056148 245__ $$aConvolutional sparse coding for high dynamic range imaging 000056148 260__ $$c2016 000056148 5060_ $$aAccess copy available to the general public$$fUnrestricted 000056148 5203_ $$aCurrent 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. 000056148 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/Lightslice 000056148 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000056148 590__ $$a1.611$$b2016 000056148 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b44 / 106 = 0.415$$c2016$$dQ2$$eT2 000056148 592__ $$a0.732$$b2016 000056148 593__ $$aComputer Networks and Communications$$c2016$$dQ1 000056148 593__ $$aComputer Graphics and Computer-Aided Design$$c2016$$dQ1 000056148 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000056148 700__ $$aHeide, F. 000056148 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, D.$$uUniversidad de Zaragoza 000056148 700__ $$aWetzstein, G. 000056148 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, B.$$uUniversidad de Zaragoza 000056148 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000056148 773__ $$g35, 2 (2016), 153-163$$pComput. graph. forum$$tCOMPUTER GRAPHICS FORUM$$x0167-7055 000056148 8564_ $$s584860$$uhttps://zaguan.unizar.es/record/56148/files/texto_completo.pdf$$yVersión publicada 000056148 8564_ $$s69050$$uhttps://zaguan.unizar.es/record/56148/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000056148 909CO $$ooai:zaguan.unizar.es:56148$$particulos$$pdriver 000056148 951__ $$a2020-02-21-13:27:23 000056148 980__ $$aARTICLE