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A novel method for detecting light source for digital images forensic

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Manipulation in image has been in practice since centuries. These manipulated images are intended to alter facts - facts of ethics, morality, politics, sex, celebrity or chaos. Image forensic science is used to detect these manipulations in a digital image. There are several standard ways to analyze an image for manipulation. Each one has some limitation. Also very rarely any method tried to capitalize on the way image was taken by the camera. We propose a new method that is based on light and its shade as light and shade are the fundamental input resources that may carry all the information of the image. The proposed method measures the direction of light source and uses the light based technique for identification of any intentional partial manipulation in the said digital image. The method is tested for known manipulated images to correctly identify the light sources. The light source of an image is measured in terms of angle. The experimental results show the robustness of the methodology.
Twórcy
autor
  • Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, 382007 India
autor
  • Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, 382007 India
autor
  • Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, 382007 India
Bibliografia
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  • [19] M.K. Johnson: Lighting and optical tools for image forensics. PhD Dissertation, Dartmouth College, 2007.
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  • [21] H. Farid: Exposing digital forgeries in scientific images. Proc. 8th Workshop on Multimedia and Security, 29-36, 2006. http://grin.hq.nasa.gov/IMAGES/SMALL/GPN-2001-000012.jpg
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  • [23] J.P. O'shea, M.S. Banks, and M. Agrawala: The assumed light direction for perceiving shape from shading. Proc. 5th Symp. on Applied Perception in Graphics and Visualization, 2008.
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  • [26] Y. Wang and D. Samaras: Estimation of multiple directional light sources for synthesis of augmented reality images. Graph. Models 65, 185-205, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAD-0022-0014
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