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A Comparative Review of Various Techniques for Image Splicing Detection and Localization

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Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 121))

Abstract

Today, society is completely dependent on the utilization of Internet. With the increase in use of social media, millions of pictures are daily uploaded to Internet, providing opportunities for hackers to forge images. Various image editing softwares have opened the ways to image forgery, making forged images to look authentic. The manipulations of content have dissolved image trustworthiness and validation. Advancement in image forensics has introduced a number of image forgery detection techniques, to reestablish the realness in digital media. This paper endeavors to reveal various kinds of image forgery and its recognition techniques. The paper has also presented the performance of the existing splicing techniques by using quality metrics MCC and F-measure. Further, the paper evaluates different state of the art in splicing techniques, and it has been observed that the CFA artifact-based splicing localization achieves an accuracy of 99.75%. This paper features the significance of splicing localization and possible future research work in it.

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Authors and Affiliations

  1. Punjabi University, Patiala, Punjab, India

    Amandeep Kaur, Navdeep Kanwal & Lakhwinder Kaur

Authors
  1. Amandeep Kaur
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  2. Navdeep Kanwal
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  3. Lakhwinder Kaur
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Corresponding author

Correspondence to Amandeep Kaur .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, India

    Pradeep Kumar Singh

  2. Faculty of Mathematics, Physics, and Informatics, University of Gdańsk, Gdańsk, Poland

    Wiesław Pawłowski

  3. Department of Computer Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

  4. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Neeraj Kumar

  5. The National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil

    Joel J. P. C. Rodrigues

  6. King Abdullah II School of Information Technology, University of Jordan, Amman, Jordan

    Mohammad Salameh Obaidat

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Kaur, A., Kanwal, N., Kaur, L. (2020). A Comparative Review of Various Techniques for Image Splicing Detection and Localization. In: Singh, P., Pawłowski, W., Tanwar, S., Kumar, N., Rodrigues, J., Obaidat, M. (eds) Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019). Lecture Notes in Networks and Systems, vol 121. Springer, Singapore. https://doi.org/10.1007/978-981-15-3369-3_11

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