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

    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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