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Image Resampling Forensics: A Review on Techniques for Image Authentication

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Applications of Computational Intelligence in Management & Mathematics (ICCM 2022)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 417))

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Abstract

The raw image can be corrupted in part or as a whole; thus it is essential to identify the type of image manipulation technique employed and region of tampering on the infected image. Initially, individual handcrafted modified images were used to recognize the tampering contained in the image, but in the actual world, one image can be edited using a variety of image manipulation schemes. However, at present, numerous tampering schemes are probed on an image, followed by post-processing to remove the traces and signs left by the tampering operation. This process makes the detection of tampering difficult and hassle task even for efficient detector. Image resampling is a common manipulation of particular forensic importance since resampling is performed at any stage of processing such as resize, rotation, or affine transformation. The forensics of resampling plays a prominent role to detect tampering in images. So resampling detection is a significant tool that provides the forensic clues about the forged image. Generally, resampling is used to reconstruct the history of an image that will be helpful in detailed forensic analysis. In this chapter, a detailed review on various recent image manipulation detection techniques of image authentication using resampling forensics is studied.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Odisha, India

    Vijayakumar Kadha & Santos Kumar Das

  2. Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Venkatesh Vakamullu

  3. Electronics & Communication Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Itanagar, Nirjuli, Arunachal Pradesh, India

    Madhusudhan Mishra

  4. Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, India

    Joyatri Bora

Authors
  1. Vijayakumar Kadha
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  2. Venkatesh Vakamullu
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  3. Santos Kumar Das
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  4. Madhusudhan Mishra
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  5. Joyatri Bora
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Editor information

Editors and Affiliations

  1. Electronics & Communication Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Itanagar, Arunachal Pradesh, India

    Madhusudhan Mishra

  2. Department of Computer Science, Central University of Rajasthan, Ajmer, Rajasthan, India

    Nishtha Kesswani

  3. EMLYON Business School, Écully, France

    Imene Brigui

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Kadha, V., Vakamullu, V., Das, S.K., Mishra, M., Bora, J. (2023). Image Resampling Forensics: A Review on Techniques for Image Authentication. In: Mishra, M., Kesswani, N., Brigui, I. (eds) Applications of Computational Intelligence in Management & Mathematics. ICCM 2022. Springer Proceedings in Mathematics & Statistics, vol 417. Springer, Cham. https://doi.org/10.1007/978-3-031-25194-8_15

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