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Fuzzy Based Image Forgery Classification with SWT-DCT-LBP Based Hybrid Features

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Abstract

The reliability of photographs and digital images in general plays an essential role today in many areas of society. Technological advancements have greatly simplified the task of falsifying digital images, allowing in turn to decentralize production and accelerate its mass distribution. This makes the effects of these adulterated images instantaneous and global in scope, with a greater impact and damage for those who are harmed by its diffusion. This paper discusses the role that artificial intelligence can play in digital forensic analysis, proposing a review of the literature, in order to illustrate the areas of computer forensics in which artificial intelligence techniques have been used to date. This, to identify a new work niche in this area, hoping that the ideas in this document can represent promising directions for the development of more efficient and effective computer forensic tools.

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Authors and Affiliations

  1. Department of Electrical Engineering, Jorhat Engineering College, Jorhat, Assam, India

    Manish Shankar Kaushik & Aditya Bihar Kandali

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  1. Manish Shankar Kaushik
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  2. Aditya Bihar Kandali
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Contributions

Author 1: MSK He participated in the methodology, Conceptualization, Data collection and writing the study Author 2: Dr. ABK He Performed the Analysis the overall concept, writing and editing.

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Correspondence to Manish Shankar Kaushik.

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Kaushik, M.S., Kandali, A.B. Fuzzy Based Image Forgery Classification with SWT-DCT-LBP Based Hybrid Features. Wireless Pers Commun 130, 1527–1547 (2023). https://doi.org/10.1007/s11277-023-10343-1

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