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Detection of Copy-Move Image Forgery Using DCT

  • Choudhary Shyam PrakashEmail author
  • Kumar Vijay Anand
  • Sushila Maheshkar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 509)

Abstract

With the advancements in computer technology digital image tampering like copy-move forgery has become frequent. In this paper, we present a novel DCT-based technique for detecting copy-move forgery. DCT is applied to each fixed-size overlapping block of image to represent its features. The dimension of the features is reduced using truncation. Then the feature vectors are lexicographically sorted and, duplicated image blocks will be neighboring in the sorted list. Thus duplicated image blocks will be compared in the matching step. To make the method more robust, a scheme to judge whether two feature vectors are similar is imported. Simulation results show that the proposed technique is capable of detecting the duplicated regions even when an image was distorted by JPEG compression, blurring or additive white Gaussian noise.

Keywords

Copy-move forgery DCT Tampered region detection Dimension reduction 

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Copyright information

© Springer Science+Business Media Singapore 2017

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Choudhary Shyam Prakash
    • 1
    Email author
  • Kumar Vijay Anand
    • 1
  • Sushila Maheshkar
    • 1
  1. 1.Department of Computer Science and EngineeringIndian School of MinesDhanbadIndia

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