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dc.contributor.authorPouli, Taniaen_US
dc.contributor.authorCunningham, Douglas W.en_US
dc.contributor.authorReinhard, Eriken_US
dc.contributor.editorEduard Groeller and Holly Rushmeieren_US
dc.date.accessioned2015-02-27T16:09:11Z
dc.date.available2015-02-27T16:09:11Z
dc.date.issued2011en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2011.01900.xen_US
dc.description.abstractThe statistics of natural images have attracted the attention of researchers in a variety of fields and have been used as a means to better understand the human visual system and its processes. A number of algorithms in computer graphics, vision and image processing take advantage of such statistical findings to create visually more plausible results. With this report we aim to review the state of the art in image statistics and discuss existing and potential applications within computer graphics and related areas.en_US
dc.description.urihttps://diglib.eg.org:443/handle/10.1111/v30i6pp1761-1788
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleA Survey of Image Statistics Relevant to Computer Graphicsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume30
dc.description.number6
dc.identifier.doi10.1111/j.1467-8659.2011.01900.x
dc.description.documenttypestar


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