Real Time Tone Mapping

dc.contributor.authorArtusi, Alessandro:en_US
dc.coverage.spatialViennaen_US
dc.date.accessioned2015-01-21T06:42:06Z
dc.date.available2015-01-21T06:42:06Z
dc.date.issued2004en_US
dc.description.abstractThe dynamic range limitations of current image output devices such as monitors and printers; do not allow to visualize High Dynamic Range images correctly. Tone mapping helps to solve this problem; but real-time performances are not yet achieved. In this thesis we analyse the acceleration question about tone mapping in the context of monitors and printers. Two different solutions are presented. For monitors; we describe a framework that accelerates any complex pre-existing global tone mapping operator and its implementation on the hardware. For printers; an integration of tone mapping with a fast colorimetric characterization model is proposed. Furthermore the time-dependency characteristic of the Human Visual System is analysed; and a model improving the performances of an existing one is presented.; Abstract The dynamic range limitations of current image output devices such as monitors and printers; do not allow to visualize High Dynamic Range images correctly. Tone mapping helps to solve this problem; but real-time performances are not yet achieved. In this thesis we analyse the acceleration question about tone mapping in the context of monitors and printers. Two different solutions are presented. For monitors; we describe a framework that accelerates any complex pre-existing global tone mapping operator and its implementation on the hardware. For printers; an integration of tone mapping with a fast colorimetric characterization model is proposed. Furthermore the time-dependency characteristic of the Human Visual System is analysed; and a model improving the performances of an existing one is presented.en_US
dc.formatapplication/pdfen_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/8164
dc.languageEnglishen_US
dc.publisherArtusien_US
dc.titleReal Time Tone Mappingen_US
dc.typeText.PhDThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
artusi.pdf
Size:
3.31 MB
Format:
Adobe Portable Document Format
Collections