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Genic Disorder Identification and Protein Analysis Using Soft Computing Methods Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Performance Analysis of Wavelet Transform Based Copy Move Forgery Detection

Authors : C. V. Melvi, C. Sathish Kumar, A. J. Saji, Jobin Varghese

Published in: Soft Computing Systems

Publisher: Springer Singapore

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Abstract

In the modern world, digital images are the sources of information. These sources can be manipulated by image processing and editing software. Image authenticity becomes a socially relevant issue in image forensics. Copy move is a main digital image forgery attack where the region of image is copied and pasted in the same image at different locations for hiding the information. This paper presents an analysis of accuracy in detecting copy move forgery based on different types of wavelet transform. For each wavelet transform, analysis is done at different levels of decomposition. The result indicates that both stationary wavelet transform (SWT) and lifting wavelet transform (LWT) work more effectively as compared to discrete wavelet transform (DWT).

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Metadata
Title
Performance Analysis of Wavelet Transform Based Copy Move Forgery Detection
Authors
C. V. Melvi
C. Sathish Kumar
A. J. Saji
Jobin Varghese
Copyright Year
2018
Publisher
Springer Singapore
Book
Soft Computing Systems

Print ISBN: 978-981-13-1935-8

Electronic ISBN: 978-981-13-1936-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-13-1936-5_15

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