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Image Forgery Detection: Survey and Future Directions

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Data, Engineering and Applications

Abstract

In this age of digitization, digital images are used as a prominent carrier of visual information. Images are becoming increasingly ubiquitous in everyday life. Unprecedented involvement of digital images can be seen in various paramount fields like medical science, journalism, sports, criminal investigation, image forensic, etc., where authenticity of image is of vital importance. Various tools are available free of cost or with a negligible amount of cost for manipulating images. Some tools can manipulate images to such an extent that it becomes impossible to discriminate by human visual system that image is forged or genuine. Hence, image forgery detection is a challenging area of research. It is evident that good quality work has been carried out in the past decade in the field of image forgery detection. However, there is still a need to pay much attention in this field, as image manipulation tools are becoming more and more sophisticated. The main purpose of this paper is to review the various existing methods developed for detecting the image forgery. A categorization of various forgery detection techniques has been presented in the paper.

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  1. Jaypee University of Engineering and Technology, Raghogarh, Guna, MP, India

    Kunj Bihari Meena & Vipin Tyagi

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  1. Kunj Bihari Meena
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  2. Vipin Tyagi
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  1. Department of Computer Science and Engineering, Sagar Institute of Research & Technology (SIRT), Bhopal, Madhya Pradesh, India

    Rajesh Kumar Shukla

  2. School of Information Technology, Rajiv Gandhi Technical University, Bhopal, Madhya Pradesh, India

    Jitendra Agrawal

  3. School of Information Technology, Rajiv Gandhi Technological University, Bhopal, Madhya Pradesh, India

    Sanjeev Sharma

  4. THDC Institute of Hydropower Engineering and Technology, Tehri, Uttarakhand, India

    Geetam Singh Tomer

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Meena, K.B., Tyagi, V. (2019). Image Forgery Detection: Survey and Future Directions. In: Shukla, R.K., Agrawal, J., Sharma, S., Singh Tomer, G. (eds) Data, Engineering and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-13-6351-1_14

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