Digital Image Forgery Detection

Author:

Abstract

With the growing challenges in authenticity and integrity of images, image manipulation has crumbled assurance over digital image. The major motivation of the forgery in image is manipulating the image in such a way that it cannot be distinguished to the naked eye. Image manipulation has increased the demand to assess the trustworthiness of digital images when used in crime investigation, as witness of law and for surveillance purposes. In this paper, various types of image forgery and detection techniques have been explained. Initially different kinds of forgery attacks are categorized and summary of passive approach is discussed

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Management of Technology and Innovation,General Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Revealing Image Deepfakes: A Convolutional Neural Network Approach Leveraging VGG-16 Mode;2024 International Conference on Social and Sustainable Innovations in Technology and Engineering (SASI-ITE);2024-02-23

2. Two-Stage Model for Copy-Move Forgery Detection;Lecture Notes in Electrical Engineering;2023

3. Image Forgery Detection and Deep Learning Techniques: A Review;2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS);2020-05

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