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An Eagle-Eye View of Recent Digital Image Forgery Detection Methods

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Smart and Innovative Trends in Next Generation Computing Technologies (NGCT 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 828))

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Abstract

In today’s modern era, digital images have noteworthy significance because they have become a leading source of information dissemination. However, the images are being manipulated and tampered. The image manipulation is as old as images itself. The history of modifying images dates back to the 1860s’, though it has become very popular in recent times due to the availability of various open source software available freely over the internet. Such software is responsible for eroding our trust on the integrity of the visual imagery. In this paper, a comprehensive survey of various image forgeries, its types and the currently used techniques to detect such forgeries is presented. The review delivers the downsides of various controversial forgeries that have happened in the history. It provides the taxonomy of various forgeries in digital images and a redefined the classification of forgery detection methods. It also highlights the pros and cons of forgery detection methods currently in use and directs path towards challenges for further research.

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Authors and Affiliations

  1. University Institute of Engineering and Technology, Panjab University, Chandigarh, India

    Savita Walia & Krishan Kumar

Authors
  1. Savita Walia
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  2. Krishan Kumar
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Corresponding author

Correspondence to Savita Walia .

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Editors and Affiliations

  1. Indian Institute of Technology Patna, Patna, Bihar, India

    Pushpak Bhattacharyya

  2. University of Petroleum and Energy Studies, Dehradun, India

    Hanumat G. Sastry

  3. University of Petroleum and Energy Studies, Dehradun, India

    Venkatadri Marriboyina

  4. University of Petroleum and Energy Studies, Dehradun, India

    Rashmi Sharma

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Walia, S., Kumar, K. (2018). An Eagle-Eye View of Recent Digital Image Forgery Detection Methods. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-10-8660-1_36

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  • DOI: https://doi.org/10.1007/978-981-10-8660-1_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8659-5

  • Online ISBN: 978-981-10-8660-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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