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dc.contributor.authorHeide, Felix
dc.contributor.authorEgiazarian, Karen
dc.contributor.authorKautz, Jan
dc.contributor.authorPulli, Kari
dc.contributor.authorSteinberger, Markus
dc.contributor.authorTsai, Yun-Ta
dc.contributor.authorRouf, Mushfiqur
dc.contributor.authorPająk, Dawid
dc.contributor.authorReddy, Dikpal
dc.contributor.authorGallo, Orazio
dc.contributor.authorLiu, Jing
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2015-06-07T22:06:46Z
dc.date.available2015-06-07T22:06:46Z
dc.date.issued2014-11-19
dc.identifier.citationFlexISP: a flexible camera image processing framework, 2014, 33 (6):1 ACM Transactions on Graphics
dc.identifier.issn07300301
dc.identifier.doi10.1145/2661229.2661260
dc.identifier.urihttp://hdl.handle.net/10754/556541
dc.description.abstractConventional pipelines for capturing, displaying, and storing images are usually defined as a series of cascaded modules, each responsible for addressing a particular problem. While this divide-and-conquer approach offers many benefits, it also introduces a cumulative error, as each step in the pipeline only considers the output of the previous step, not the original sensor data. We propose an end-to-end system that is aware of the camera and image model, enforces natural-image priors, while jointly accounting for common image processing steps like demosaicking, denoising, deconvolution, and so forth, all directly in a given output representation (e.g., YUV, DCT). Our system is flexible and we demonstrate it on regular Bayer images as well as images from custom sensors. In all cases, we achieve large improvements in image quality and signal reconstruction compared to state-of-the-art techniques. Finally, we show that our approach is capable of very efficiently handling high-resolution images, making even mobile implementations feasible.
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urlhttp://dl.acm.org/citation.cfm?doid=2661229.2661260
dc.rights© ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Graphics, Volume 33 Issue 6, November 2014. http://doi.acm.org/10.1145/2661229.2661260
dc.titleFlexISP: a flexible camera image processing framework
dc.typeArticle
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalACM Transactions on Graphics
dc.eprint.versionPost-print
dc.contributor.institutionNVIDIA
dc.contributor.institutionTU Graz
dc.contributor.institutionUBC
dc.contributor.institutionUC Santa Cruz
dc.contributor.institutionTUT
kaust.personHeidrich, Wolfgang
refterms.dateFOA2018-06-13T16:43:33Z


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