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Proving Authenticity and Integrity of Digital Images using Image Forensics

Riya Ramchandra Naik
2020 International Journal for Research in Applied Science and Engineering Technology  
It is a common practice followed by forger to hide traces of resampling & splicing. However the tampered region usually has a different JPEG compression history than the authentic region.  ...  It identifies forgery by searching ghost which appears in resultant difference image after subtracting it from its various recompressed version at different quality levels.  ...  Since both acquire dissimilar compression data JPEG forgery detection techniques try to categorize difference in compression.  ... 
doi:10.22214/ijraset.2020.7078 fatcat:fxjjfaw5p5du3mdugusayo6v5i

Deep Localization of Mixed Image Tampering Techniques [article]

Robin Elizabeth Yancey
2022 arXiv   pre-print
With technological advances leading to an increase in mechanisms for image tampering, fraud detection methods must continue to be upgraded to match their sophistication.  ...  When a machine learning algorithm is used to learn different types of tampering from a large set of various image types, with a large enough database we can easily classify which images are tampered.  ...  Since image regions with lower Quality in the original image will degrade at a higher rate when compressed, subtracting the decompressed image from the original image gives the difference in Q levels in  ... 
arXiv:1904.08484v3 fatcat:kfvvr2udrjfw3dh4losnxzlzha

Object based Image Splicing Localization using Block Artificial Grids

P N R L Chandra Sekhar, T N
2020 International Journal of Advanced Computer Science and Applications  
This paper proposes an efficient statistical method based on Block Artificial Grids in double compressed images to identify regions attacked by image manipulation.  ...  A localized algorithm is proposed based on the cosine dissimilarity between objects and exploit the tampered object with maximum dissimilarity among objects.  ...  Different tampering techniques in the literature assume that images taken from different camera models or different processing operations introduce inherent patterns into tampered image [6] [7] [8]  ... 
doi:10.14569/ijacsa.2020.0111164 fatcat:g2j4tc3x5nbvjgmwl2pkjwmjfq

Analysis of Digital Image Splicing Detection

P.Sabeena Burvin, J.Monica Esther
2014 IOSR Journal of Computer Engineering  
In this paper, we analyze various automatic image forensic techniques for detecting digital image splicing.  ...  One of the most common forms of digital image or photographic manipulation operation is known as image splicing or image composition.  ...  Alin and Farid again proposed an automatic method for detecting traces of digital tampering in lossless & lossy compressed image by using color Filter Array [10] , Most digital cameras employ a single  ... 
doi:10.9790/0661-162111013 fatcat:agzv5zfczbcelmfx4lxewidkm4

Pixel-Based Image Forgery Detection: A Review

Mohd Dilshad Ansari, S. P. Ghrera, Vipin Tyagi
2014 IETE Journal of Education  
In this paper we have discussed various pixel-based techniques for image forgery detection, mainly copy-move and splicing techniques.  ...  There are many ways for tampering an image such as splicing or copy-move, resampling an image (resize, rotate, stretch), addition and removal of any object from the image.  ...  Detect digital image splicing with visual cues [6] DW-VAM In spliced image, forged region is detected Work only in the Splicing 2009 10.  ... 
doi:10.1080/09747338.2014.921415 fatcat:topnjgsewvh3fp5bepc73uqtpi

Image Forgery Detection and Localization using Modified JPEG Ghost

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
We come up with a technique that analyzes digital image forgery detection in JPEG images which goes through multiple compression.  ...  By using any image processing tools, when assailant changes any part of a JPEG image and save it, the alter part of the image has different compression artifacts.  ...  Farid [3] came up with a way to detect double JPEG compression by further compressing the image at different quality factors and found one of those with the same quality factor as the tampered image  ... 
doi:10.35940/ijitee.i8247.1081219 fatcat:yl76vkl3x5dp7a2oivkgsr6jdm

D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization [article]

Bo Liu, Ranglei Wu, Xiuli Bi, Bin Xiao, Weisheng Li, Guoyin Wang, Xinbo Gao
2022 arXiv   pre-print
In fact, image splicing forgery detection is a global binary classification task that distinguishes the tampered and non-tampered regions by image fingerprints.  ...  In an experimental comparison study of D-Unet and state-of-the-art methods, D-Unet outperformed the other methods in image-level and pixel-level detection, without requiring pre-training or training on  ...  , as explained below. • JPEG compression: the splicing forgery images are saved in JPEG format with different compression quality factors (QF). • Noise attack: White Gaussian noises with a mean of zero  ... 
arXiv:2012.01821v3 fatcat:lwsg7fs52fd33eay36ydg4ya7m

A Survey of Passive Image Tampering Detection [chapter]

Wei Wang, Jing Dong, Tieniu Tan
2009 Lecture Notes in Computer Science  
Digital images can be easily tampered with image editing tools. The detection of tampering operations is of great importance.  ...  Passive digital image tampering detection aims at verifying the authenticity of digital images without any a prior knowledge on the original images.  ...  The work presented in this paper was supported by Nature Science Foundation of China (Grant No.60603011).  ... 
doi:10.1007/978-3-642-03688-0_27 fatcat:fyfkoigvzvhalouea2so2e3idu

Color Noise-Based Feature for Splicing Detection and Localization

Christophe Destruel, Vincent Itier, Olivier Strauss, William Puech
2018 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)  
In this paper, we focus on a local detection system, which considers which tampered areas produce local statistical effects that do not impact neighboring areas or the image as a whole.  ...  To detect such forgeries the digital image processing community is proposing new automatic algorithms designed to help human operators reveal manipulated images.  ...  de FALSifications dans des images).  ... 
doi:10.1109/mmsp.2018.8547093 dblp:conf/mmsp/DestruelISP18 fatcat:tupkrde2ifcvpp5hyzwpo4k7hy

Digital image forgery detection using passive techniques: A survey

Gajanan K. Birajdar, Vijay H. Mankar
2013 Digital Investigation. The International Journal of Digital Forensics and Incident Response  
The present status of image forgery detection technique is discussed along with a recommendation for future research.  ...  An attempt is made to survey the recent developments in the field of digital image forgery detection and complete bibliography is presented on blind methods for forgery detection.  ...  Image splicing is one of the simple and commonly used image tampering schemes. Image splicing detection is of the fundamental task in image forgery detection.  ... 
doi:10.1016/j.diin.2013.04.007 fatcat:pqlzh2yciveqxgw2pbwfnay7nq

Exposing image forgery with blind noise estimation

Xunyu Pan, Xing Zhang, Siwei Lyu
2011 Proceedings of the thirteenth ACM multimedia workshop on Multimedia and security - MM&Sec '11  
It may also be introduced unnoticed during camera imaging process, which makes the noise levels inconsistent in splicing images.  ...  In this paper, we propose a method to expose such image forgeries by detecting the noise variance differences between original and tampered parts of an image.  ...  In the right panel, a splicing image is generated from two individual source images with different noise levels, where the image noise is introduced unintentionally.  ... 
doi:10.1145/2037252.2037256 fatcat:wtymw4xtljgmzcju543wn6467y

Learning Rich Features for Image Manipulation Detection

Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
methods with robustness to resizing and compression.  ...  Image manipulation detection is different from traditional semantic object detection because it pays more attention to tampering artifacts than to image content, which suggests that richer features need  ...  Related Work Research on image forensics consists of various approaches to detect the low-level tampering artifacts within a tampered image, including double JPEG compression [4] , CFA color array anaylsis  ... 
doi:10.1109/cvpr.2018.00116 dblp:conf/cvpr/ZhouHMD18 fatcat:sso3mm6thrcrbmceozerkslfve

Learning Rich Features for Image Manipulation Detection [article]

Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis
2018 arXiv   pre-print
methods with robustness to resizing and compression.  ...  Image manipulation detection is different from traditional semantic object detection because it pays more attention to tampering artifacts than to image content, which suggests that richer features need  ...  Related Work Research on image forensics consists of various approaches to detect the low-level tampering artifacts within a tampered image, including double JPEG compression [4] , CFA color array anaylsis  ... 
arXiv:1805.04953v1 fatcat:d7avqrjtwrcddlqqtqmdykfmhy

Image Forgery Detection Using Deeplearning by Recompressing Images

Syed Sadaf Ali, Iyyakutti Iyappan Ganapathi, Ngoc-Son Vu, Syed Danish Ali, Neetesh Saxena, Naoufel Werghi
2022 Electronics  
However, most image forgery techniques based on CNN that exist in the literature are limited to detecting a specific type of forgery (either image splicing or copy-move).  ...  In this paper, we introduce a robust deep learning-based system for identifying image forgeries in the context of double image compression.  ...  Proposed Technique Other Techniques It focuses on whether the given image is They focus more on where the forgery is 1 tampered with or genuine (image level present in the given image (pixel level forgery  ... 
doi:10.3390/electronics11030403 fatcat:5l5d4f2lqjatnb2pq3qeuvdqmy

Copy Move and Splicing Image Forgery Detection using CNN

Devjani Mallick, Mantasha Shaikh, Anuja Gulhane, Tabassum Maktum, M.D. Patil, V.A. Vyawahare
2022 ITM Web of Conferences  
This paper presents a novel approach to detect copy move and splicing image forgery using a Convolutional Neural Network (CNN) with three different models i.e.  ...  Throughout the years, various computer vision and deep learning solutions have emerged with a purpose to detect forgery in case of digital images.  ...  The accuracy of different models with respect to separate authentic and tampered images and hence overall accuracy have been presented with the help of bar chart in Figure 5 .  ... 
doi:10.1051/itmconf/20224403052 fatcat:w34t7psfsrcubasesa3dyqgwhq
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