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Illuminant Color Inconsistency as a Powerful Clue for Detecting Digital Image Forgery: A Survey

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Book cover Intelligent Systems Technologies and Applications (ISTA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 683))

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Abstract

Digital images capture our attention and are retained in our memory for longer than other sensory perceptions. Despite numerous instances of image forgery, still, people tend to believe digital images. At the same time, digital investigations reveal an increasing trend of image forgery with illicit purposes. Image editing operations that lead to forgery always leave traces. Investigators rely upon these traces for detecting an image forgery. Researchers are trying to detect image forgery by devising techniques that exploit the traces present in forged images. Recently, illuminant color, the color of the scene illumination present in the image that hints the illumination prevailed at the time of image capture is studied as potential evidence for image forgery. In this survey, we explore the evolution of illuminant color based image forgery detection. This survey provides a brief description of different illuminant color estimation approaches employed in image forgery detection followed by a detailed review of existing illuminant color inconsistency based forgery detection techniques. The major contribution of this survey is the elaborate discussion of future research directions to provide insight to researchers.

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Acknowledgments

The authors would like to thank the Higher Education Department, Government of Kerala for funding this research and the Department of Computer Science and Engineering, College of Engineering, Trivandrum for providing the facilities.

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Authors and Affiliations

  1. College of Engineering-Trivandrum, Trivandrum, Kerala, India

    Divya S. Vidyadharan

  2. LBS Centre for Science and Technology, Trivandrum, Kerala, India

    Divya S. Vidyadharan

  3. University of Kerala, Trivandrum, Kerala, India

    Divya S. Vidyadharan

  4. Indian Institute of Information Technology and Management-Kerala, Trivandrum, India

    Sabu M. Thampi

Authors
  1. Divya S. Vidyadharan
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  2. Sabu M. Thampi
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Corresponding author

Correspondence to Divya S. Vidyadharan .

Editor information

Editors and Affiliations

  1. School of CS/IT, Indian Institute of Information Technology, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

    Sushmita Mitra

  3. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India

    Jayanta Mukhopadhyay

  4. Xiamen University, Xiamen, China

    Kuan-Ching Li

  5. Department of Electrical and Electronic, Nazarbayev University, Astana, Kazakhstan

    Alex Pappachen James

  6. Dipartimento di Ingegneria, Università degli Studi di Firenze, Firenze, Italy

    Stefano Berretti

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Vidyadharan, D.S., Thampi, S.M. (2018). Illuminant Color Inconsistency as a Powerful Clue for Detecting Digital Image Forgery: A Survey. In: Thampi, S., Mitra, S., Mukhopadhyay, J., Li, KC., James, A., Berretti, S. (eds) Intelligent Systems Technologies and Applications. ISTA 2017. Advances in Intelligent Systems and Computing, vol 683. Springer, Cham. https://doi.org/10.1007/978-3-319-68385-0_24

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  • DOI: https://doi.org/10.1007/978-3-319-68385-0_24

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-68385-0

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