Title

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

Authors

Authors

S. Z. Masood; J. J. Zhu;M. F. Tappen

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Comput. Graph. Forum

Keywords

Computer Science, Software Engineering

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.

Journal Title

Computer Graphics Forum

Volume

28

Issue/Number

7

Publication Date

1-1-2009

Document Type

Article

Language

English

First Page

1861

Last Page

1869

WOS Identifier

WOS:000270778100015

ISSN

0167-7055

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