Automatic Correction of Saturated Regions in Photographs using Cross-Channel Correlation

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dc.contributor.authorMasood, Syed Z.en_US
dc.contributor.authorZhu, Jiejieen_US
dc.contributor.authorTappen, Marshall F.en_US
dc.date.accessioned2015-02-23T16:08:29Z
dc.date.available2015-02-23T16:08:29Z
dc.date.issued2009en_US
dc.description.abstractIncorrectly setting the camera s exposure can have a significant negative effect on a photograph. Over-exposing photographs causes pixels to exhibit unpleasant artifacts due to saturation of the sensor. Saturation removal typically involves user intervention to adjust the color values, which is tedious and time-consuming. This paper discusses how saturation can be automatically removed without compromising the essential details of the image. Our method is based on a smoothness prior: neighboring pixels have similar channel ratios and color values. We demonstrate that high quality saturation-free photos can be obtained from a simple but effective approach.en_US
dc.description.number7en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01564.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1861-1869en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01564.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleAutomatic Correction of Saturated Regions in Photographs using Cross-Channel Correlationen_US
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