000074812 001__ 74812 000074812 005__ 20190819101354.0 000074812 0247_ $$2doi$$a10.1109/JSTSP.2017.2747126 000074812 0248_ $$2sideral$$a101173 000074812 037__ $$aART-2017-101173 000074812 041__ $$aeng 000074812 100__ $$aWu, Gaochang 000074812 245__ $$aLight field image processing: an overview 000074812 260__ $$c2017 000074812 5060_ $$aAccess copy available to the general public$$fUnrestricted 000074812 5203_ $$aLight field imaging has emerged as a technology allowing to capture richer visual information from our world. As opposed to traditional photography, which captures a 2D projection of the light in the scene integrating the angular domain, light fields collect radiance from rays in all directions, demultiplexing the angular information lost in conventional photography. On the one hand, this higher dimensional representation of visual data offers powerful capabilities for scene understanding, and substantially improves the performance of traditional computer vision problems such as depth sensing, post-capture refocusing, segmentation, video stabilization, material classification, etc. On the other hand, the high-dimensionality of light fields also brings up new challenges in terms of data capture, data compression, content editing, and display. Taking these two elements together, research in light field image processing has become increasingly popular in the computer vision, computer graphics, and signal processing communities. In this paper, we present a comprehensive overview and discussion of research in this field over the past 20 years. We focus on all aspects of light field image processing, including basic light field representation and theory, acquisition, super-resolution, depth estimation, compression, editing, processing algorithms for light field display, and computer vision applications of light field data. 000074812 536__ $$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON 000074812 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000074812 590__ $$a4.361$$b2017 000074812 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b30 / 260 = 0.115$$c2017$$dQ1$$eT1 000074812 592__ $$a1.331$$b2017 000074812 593__ $$aSignal Processing$$c2017$$dQ1 000074812 593__ $$aElectrical and Electronic Engineering$$c2017$$dQ1 000074812 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000074812 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belen$$uUniversidad de Zaragoza 000074812 700__ $$0(orcid)0000-0001-9000-0466$$aJarabo, Adrian 000074812 700__ $$aZhang, Yuchen 000074812 700__ $$aWang, Liangyong 000074812 700__ $$aDai, Qionghai 000074812 700__ $$aChai, Tianyou 000074812 700__ $$aLiu, Yebin 000074812 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000074812 773__ $$g11, 7 (2017), 926-954$$pIEEE Journal of Selected Topics in Signal Processing$$tIEEE Journal of Selected Topics in Signal Processing$$x1932-4553 000074812 8564_ $$s6244239$$uhttps://zaguan.unizar.es/record/74812/files/texto_completo.pdf$$yPostprint 000074812 8564_ $$s139629$$uhttps://zaguan.unizar.es/record/74812/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000074812 909CO $$ooai:zaguan.unizar.es:74812$$particulos$$pdriver 000074812 951__ $$a2019-08-19-09:52:00 000074812 980__ $$aARTICLE