Inverse Tone Mapping

dc.contributor.authorBanterle, Francescoen_US
dc.coverage.spatialUniversity of Warwicken_US
dc.date.accessioned2015-01-21T06:49:35Z
dc.date.available2015-01-21T06:49:35Z
dc.date.issued2009-06-04en_US
dc.description.abstractThe introduction of High Dynamic Range Imaging in computer graphics has produced a novelty in Imaging that can be compared to the introduction of colour photography or even more. Light can now be captured, stored, processed, and finally visualised without losing information. Moreover, new applications that can exploit physical values of the light have been introduced such as re-lighting of synthetic/real objects, or enhanced visualisation of scenes. However, these new processing and visualisation techniques cannot be applied to movies and pictures that have been produced by photography and cinematography in more than one hundred years. This thesis introduces a general framework for expanding legacy content into High Dynamic Range content. The expansion is achieved avoiding artefacts, producing images suitable for visualisation and re-lighting of synthetic/real objects. Moreover, it is presented a methodology based on psychophysical experiments and computational metrics to measure performances of expansion algorithms. Finally, a compression scheme, inspired by the framework, for High Dynamic Range Textures, is proposed and evaluated.en_US
dc.formatapplication/pdfen_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/8210
dc.languagelanguageen_US
dc.publisherBanterleen_US
dc.titleInverse Tone Mappingen_US
dc.typeText.PhDThesisen_US
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