Automatic Correction of Saturated Regions in Photographs using Cross-Channel Correlation
Syed Z. Masood, Jiejie Zhu, Marshall F. Tappen
In Computer Graphics Forum, 28(7), 2009.
Abstract: Incorrectly 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.
Keyword(s): I.4.8 [Image Processing and Computer Vision]: Scene Analysis—Photometry
Article URL: http://dx.doi.org/10.1111/j.1467-8659.2009.01564.x
BibTeX format:
@article{CGF:CGF1564,
  author = {Syed Z. Masood and Jiejie Zhu and Marshall F. Tappen},
  title = {Automatic Correction of Saturated Regions in Photographs using Cross-Channel Correlation},
  journal = {Computer Graphics Forum},
  volume = {28},
  number = {7},
  pages = {1861--1869},
  year = {2009},
}
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