A Tone Mapping Algorithm for High Contrast Images

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dc.contributor.authorAshikhmin, Michaelen_US
dc.contributor.editorP. Debevec and S. Gibsonen_US
dc.date.accessioned2014-01-27T14:06:11Z
dc.date.available2014-01-27T14:06:11Z
dc.date.issued2002en_US
dc.description.abstractA new method is presented that takes as an input a high dynamic range image and maps it into a limited range of luminance values reproducible by a display device. There is significant evidence that a similar operation is performed by early stages of human visual system (HVS). Our approach follows functionality of HVS without attempting to construct its sophisticated model. The operation is performed in three steps. First, we estimate local adaptation luminance at each point in the image. Then, a simple function is applied to these values to compress them into the required display range. Since important image details can be lost during this process, we then re-introduce details in the final pass over the image.en_US
dc.description.seriesinformationEurographics Workshop on Renderingen_US
dc.identifier.isbn1-58113-534-3en_US
dc.identifier.issn1727-3463en_US
dc.identifier.urihttps://doi.org/10.2312/EGWR/EGWR02/145-156en_US
dc.publisherThe Eurographics Associationen_US
dc.titleA Tone Mapping Algorithm for High Contrast Imagesen_US
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EGWR02: 13th Eurographics Workshop on Rendering