Passive Image Manipulation Detection Using Wavelet Transform and Support Vector Machine Classifier

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 408)

Abstract

In this paper, blind global contrast enhancement detection method is proposed using wavelet transform-based features. Wavelet subband energy and statistical features are computed using multilevel 2D wavelet decomposition. Mutual information-based feature selection measure is employed to select the most relevant features while discarding the redundant features. Experimental results are presented using grayscale and G component image database and SVM classifier. Simulation results prove the effectiveness of the proposed algorithm compared to other existing contrast enhancement detection techniques.

Keywords

Image forgery detection Passive authentication Contrast enhancement detection Wavelet transform 

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Department of Electronics and CommunicationPriyadarshini Institute of Engineering and TechnologyNagpurIndia
  2. 2.Department of Electronics and TelecommunicationGovernment PolytechnicNagpurIndia

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