research-article

Finer-grained image splicing localization method based on noise level estimation

Authors:

Qian ZhangAuthors Info & Claims

ICMIP '20: Proceedings of the 5th International Conference on Multimedia and Image Processing

Pages 86 - 91

https://doi.org/10.1145/3381271.3381274

Published: 28 February 2020 Publication History

Abstract

Digital image forensics is one of the important technologies to protect image content security, which aims to reveal malicious tampering in digital images. In this work, we propose a finer-grained image splicing localization method based on noise level estimation. In the proposed method, we extract statistical feature from the DCT coefficients of image, use such feature to estimate the noise of kurtosis statistic and feature of principal component. On the other hand, we estimate local noise using Laplace operator. The forensics features are formed by combining the kurtosis statistics noise, local Laplace noise, and the principal component feature. Then we use fuzzy C-means clustering to recognize suspect image blocks, and use a method of region marking to realize the finer-grained partition for regions. The spliced regions are detected according to the area ratio of image regions. Experimental results show that the proposed method has higher detection accuracy and stronger robustness.

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Cited By

Al Ghifari SStudiawan H(2023)Image Splicing Localization Using Superpixel and Wavelet Mean Squared Error2023 International Conference on Information Technology (ICIT)10.1109/ICIT58056.2023.10226015(593-598)Online publication date: 9-Aug-2023
https://doi.org/10.1109/ICIT58056.2023.10226015

Index Terms

Finer-grained image splicing localization method based on noise level estimation
1. Security and privacy
  1. Security services
    1. Authentication
      1. Multi-factor authentication

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Published In

cover image ACM Other conferences

ICMIP '20: Proceedings of the 5th International Conference on Multimedia and Image Processing

January 2020

191 pages

ISBN:9781450376648

DOI:10.1145/3381271

Conference Chair:
Wanyang Dai
Nanjing University, China
,
Program Chairs:
Xiangyang Hao
Information Engineering University, China
,
Ramayah T
Universiti Sains Malaysia, Malaysia
,
Fehmi Jaafar
Computer Research Institute of Montreal and Concordia University of Edmonton, Canada

Copyright © 2020 ACM.

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NJU: Nanjing University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 February 2020

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Funding Sources

Key Laboratory Project of the Education Department of Shaanxi Province
National Natural Science Foundation of China
Shaanxi province technology innovation guiding project

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ICMIP 2020

Sponsor:

NJU

ICMIP 2020: 2020 5th International Conference on Multimedia and Image Processing

January 10 - 12, 2020

Nanjing, China

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Cited By

Al Ghifari SStudiawan H(2023)Image Splicing Localization Using Superpixel and Wavelet Mean Squared Error2023 International Conference on Information Technology (ICIT)10.1109/ICIT58056.2023.10226015(593-598)Online publication date: 9-Aug-2023
https://doi.org/10.1109/ICIT58056.2023.10226015

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