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http://dx.doi.org/10.9708/jksci.2021.26.12.111

Research on the Detection of Image Tampering  

Kim, Hye-jin (Dept. of General Education, Kookmin University)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.12, 2021 , pp. 111-121 More about this Journal
Abstract
As the main carrier of information, digital image is becoming more and more important. However, with the popularity of image acquisition equipment and the rapid development of image editing software, in recent years, digital image counterfeiting incidents have emerged one after another, which not only reduces the credibility of images, but also brings great negative impacts to society and individuals. Image copy-paste tampering is one of the most common types of image tampering, which is easy to operate and effective, and is often used to change the semantic information of digital images. In this paper, a method to protect the authenticity and integrity of image content by studying the tamper detection method of image copy and paste was proposed. In view of the excellent learning and analysis ability of deep learning, two tamper detection methods based on deep learning were proposed, which use the traces left by image processing operations to distinguish the tampered area from the original area in the image. A series of experimental results verified the rationality of the theoretical basis, the accuracy of tampering detection, location and classification.
Keywords
Image; Tampering; Forensics; Deep learning; CNN;
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1 F. Ren, D. Zheng, W. J. Wang, "An Efficient Code Based Digital Signature Algorithm", International Journal of Network Security, Vol.19, No.6, pp.1072-1079, 2017. DOI: http://dx.doi.org/10.6633%2fIJNS.201711.19(6).24   DOI
2 S. Aggarwal, N. Kumar, "Chapter Four - Digital signatures", Advances in Computers, Vol.121, pp.95-107, 2021. DOI: https://doi.org/10.1016/bs.adcom.2020.08.004   DOI
3 G. Legnani, I. Fassi, A. Tasora, "A Practical Algorithm for Smooth Interpolation Between Different Angular Positions", Mechanism and Machine Theory, Vol.162, No.2, pp.104341, March 29, 2021. DOI: http://doi.org/10.1016/j.mechmachtheory.2021.104341   DOI
4 W. C. Hu, W. H. Chen, D. Y. Huang, "Effective Image Forgery Detection of Tampered Foreground or Background Image Based on Image Watermarking and Alpha Mattes", Multimedia Tools and Applications, Vol.75, No.6, pp.3495-3516, March 31, 2016. DOI: https://doi.org/10.1007/s11042-015-2449-0   DOI
5 K. Asghar, Z. Habib, M. Hussain, "Copy-move and Splicing Image Forgery Detection and Localization Techniques: A Review", Australian Journal of Forensic Sciences, Vol.49, No.3, pp.281-307, April 29, 2016. DOI: https://doi.org/10.1080/00450618.2016.1153711   DOI
6 Byung-Chul Lee, "Exploring the Image and Direction of Filial Piety Education in Modern Society", Asia-pacific Journal of Convergent Research Interchange, Vol.7, No.3, pp.63-73, March 31, 2021. DOI: http://dx.doi.org/10.47116/apjcri.2021.03.06   DOI
7 D. Cozzolino, Gi. Poggi, L. Verdoliva, "Recasting Residual-based Local Descriptors as Convolutional Neural Networks: An Application to Image Forgery Detection", Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security, Philadelphia Pennsylvania USA, pp.159-164, June 20-22, 2017. DOI: https://doi.org/10.1145/3082031.3083247
8 L. Verdoliva, D. Cozzolino, G. Poggi, "A Feature-Based Approach for Image Tampering Detection and Localization", Proceedings of IEEE Workshop on Information Forensics and Security, Atlanta, GA, USA, December 3~5, 2014. DOI: https://doi.org/10.1109/WIFS.2014.7084319
9 R. Wang, C. Lin, Q. Zhao, "Watermark Faker: Towards Forgery of Digital Image Watermarking", Proceedings of 2021 IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, July 5-9, 2021. DOI: https://doi.org/10.1109/ICME51207.2021.9428410
10 Junyang Tian, Youngsook Lee, "The Influence of Green Marketing Strategies of Chinese Fashion Companies on Brand Image and Purchase Intention of Consumers based on Green Attitudes", Asia-pacific Journal of Convergent Research Interchange, Vol.6, No.10, pp.97-107, October 31, 2020. DOI: http://dx.doi.org/10.47116/apjcri.2020.10.08   DOI
11 SeoYoung Kim, "Urban Image Formation through Evaluation of Public Design Guideline of Bus stop in Jeju", Asia-pacific Journal of Convergent Research Interchange, Vol.4, No.2, pp. 21-30, June 30, 2018. DOI: http://dx.doi.org/10.14257/apjcri.2018.06.03   DOI
12 SeoYoung Kim, "Sensibility Design Elements of Public Facilities for Improve Urban Image in Jeju: Focusing on Public Art Museums", Asia-pacific Journal of Convergent Research Interchange, Vol.4, No.1, p.71-81, March 31, 2018. DOI: http://dx.doi.org/10.14257/apjcri.2018.03.08   DOI
13 Nitin Arora, Mamta Martolia, Alaknanda Ashok, "A Comparative study of the Image Registration Process on the Multimodal Medical Images", Asia-pacific Journal of Convergent Research Interchange, Vol.3, No.1, pp.1-17, March 31, 2017. DOI: http://dx.doi.org/10.21742/APJCRI.2017.03.01   DOI
14 Vikas Trikha, Jinan Fiaidhi, Sabah Mohammed, "Identifying EEG Binary Limb Motor Imagery Movements using Thick Data Analytics", Asia-pacific Journal of Convergent Research Interchange, Vol.6, No.9, pp.169-189, September 310, 2020. DOI: http://dx.doi.org/10.47116/apjcri.2020.09.15   DOI
15 Gyung Park, "The Influencing Factors of Nurse image and Ego-Resilience on Nursing Professional Values of Nursing Students", Asia-pacific Journal of Convergent Research Interchange, Vol.6, No.10, pp.239-252, October 31, 2020. DOI: http://dx.doi.org/10.47116/apjcri.2020.10.19   DOI
16 K. Asish vardhan, "Some Studies on Digital Image Segmentation Techniques", Asia-pacific Journal of Convergent Research Interchange, Vol.5, No.1, pp.77-89, March 31, 2019. DOI: http://dx.doi.org/10.21742/apjcri.2019.03.08   DOI
17 Deepika Dubey, G. S. Tomar, "Echelon Based Pose Generalization of Facial Images Approaches", Asia-pacific Journal of Convergent Research Interchange, Vol.3, No.1, pp.63-75, March 31, 2017. DOI: http://dx.doi.org/10.21742/APJCRI.2017.03.06   DOI
18 T. Saidani, M. Atri, L. Khriji, "An Efficient Hardware Implementation of Parallel EBCOT Algorithm for JPEG 2000", Journal of Real-Time Image Processing, Vol.11, No.1, pp.63-74, January 31, 2016. DOI: https://doi.org/10.1007/s11554-013-0322-9   DOI
19 J. Tu, G. Yang, P. Qi, "Comparative Investigation of Parallel Spatial Interpolation Algorithms for Building Large-Scale Digital Elevation Models", Peer J Computer Science, pp.1-30, March 2, 2020. DOI: https://doi.org/10.7717/peerj-cs.263   DOI
20 Dong Jo Kim, P. Lakshmi Manjusha, "Building Detection in High Resolution Remotely Sensed Images based on Automatic Histogram-Based Fuzzy C-Means Algorithm", Asia-pacific Journal of Convergent Research Interchange, Vol.3, No.1, pp.57-62, March 31, 2017. DOI: http://dx.doi.org/10.21742/APJCRI.2017.03.05   DOI
21 T. Zhu, W. Qu, W. Cao, "An Optimized Image Watermarking Algorithm Based on SVD and IWT", The Journal of Supercomputing, Vol.2021, pp.1-16, May 25, 2021. DOI: https://doi.org/10.1007/s11227-021-03886-2   DOI
22 H. Shi, Y. Wang, Y. Li, "Region-based Reversible Medical Image Watermarking Algorithm for Privacy Protection and Integrity Authentication", Multimedia Tools and Applications, Vol.80, pp.24631-24667, July 31, 2021. DOI: https://doi.org/10.1007/s11042-021-10853-9   DOI
23 D. Caragata, S. E. Assad, M. Luduena. "An Improved Fragile Watermarking Algorithm for JPEG Images", AEU - International Journal of Electronics and Communications, Vol.69, No.12, pp.1783-1794. 2015. DOI: https://doi.org/10.1016/j.aeue.2015.09.005   DOI
24 Y. Zhang, W. Zhang, Z. Dong, "Calibration and Measurement Performance Analysis for A Spectral Band Charge-Coupled-Device-Based Pyrometer", Review of Scientific Instruments, Vol.91, No.6, pp.64904, June 5, 2020. DOI: https://doi.org/10.1063/1.5129758   DOI
25 C. Coburn, D. Fan, S. R. Forrest, "An Organic Charge-Coupled Device". ACS Photonics, Vol.6, No.8, pp.2090-2095, July 5, 2019. DOI: https://pubs.acs.org/doi/10.1021/acsphotonics.9b00596   DOI