Title
Automatic Correction Of Saturated Regions In Photographs Using Cross-Channel Correlation
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. © 2009 The Eurographics Association and Blackwell Publishing Ltd.
Publication Date
1-1-2009
Publication Title
Computer Graphics Forum
Volume
28
Issue
7
Number of Pages
1861-1869
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1111/j.1467-8659.2009.01564.x
Copyright Status
Unknown
Socpus ID
71949130327 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/71949130327
STARS Citation
Masood, Syed Z.; Zhu, Jiejie; and Tappen, Marshall F., "Automatic Correction Of Saturated Regions In Photographs Using Cross-Channel Correlation" (2009). Scopus Export 2000s. 12363.
https://stars.library.ucf.edu/scopus2000/12363