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Digital image forensics plays a crucial role in image authentication and manipulation localization.
Navier-stokes, fluid dynamics, and image and video inpainting
Marcelo Bertalmio, Andrea L Bertozzi, and Guillermo Sapiro · 2001
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Simplicity: Semantics-sensitive integrated matching for picture libraries
James Ze Wang, Jia Li, and Gio Wiederhold · 2001
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Identification of bitmap compression history: Jpeg detection and quantizer estimation
Zhigang Fan and Ricardo L De Queiroz · 2003
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Statistical tools for digital forensics
Alin C Popescu and Hany Farid · 2004
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An image inpainting technique based on the fast marching method
Alexandru Telea · 2004
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Exposing digital forgeries in color filter array interpolated images
Alin C Popescu and Hany Farid · 2005
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Columbia uncompressed image splicing detection evaluation dataset
J Hsu and SF Chang · 2006
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Exposing digital forgeries through chromatic aberration
Micah K Johnson and Hany Farid · 2006
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A generalized benford’s law for jpeg coefficients and its applications in image forensics
Dongdong Fu, Yun Q Shi, and Wei Su · 2007
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Image authentication by detecting traces of demosaicing
Andrew C Gallagher and Tsuhan Chen · 2008
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Accurate detection of demosaicing regularity for digital image forensics
Hong Cao and Alex C Kot · 2009
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Accurate detection of demosaicing regularity from output images
Hong Cao and Alex C Kot · 2009
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Exposing digital forgeries from jpeg ghosts
Hany Farid · 2009
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Using noise inconsistencies for blind image forensics
Babak Mahdian and Stanislav Saic · 2009
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Identification of cut & paste tampering by means of double-jpeg detection and image segmentation
Mauro Barni, Andrea Costanzo, and Lara Sabatini · 2010
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Efficient estimation and large-scale evaluation of lateral chromatic aberration for digital image forensics
Thomas Gloe, Karsten Borowka, and Antje Winkler · 2010
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Inter-channel demosaicking traces for digital image forensics
John S Ho, Oscar C Au, Jiantao Zhou, and Yuanfang Guo · 2010
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Detecting forgery from static-scene video based on inconsistency in noise level functions
Michihiro Kobayashi, Takahiro Okabe, and Yoichi Sato · 2010
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Detecting recompression of jpeg images via periodicity analysis of compression artifacts for tampering detection
Yi-Lei Chen and Chiou-Ting Hsu · 2011
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The neural autoregressive distribution estimator
Hugo Larochelle and Iain Murray · 2011
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Digital image forgery detection based on lens and sensor aberration
Ido Yerushalmy and Hagit Hel-Or · 2011
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Image forgery localization via block-grained analysis of jpeg artifacts
Tiziano Bianchi and Alessandro Piva · 2012
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Image forgery localization via fine-grained analysis of cfa artifacts
Pasquale Ferrara, Tiziano Bianchi, Alessia De Rosa, and Alessandro Piva · 2012
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Forgery authentication in extreme wide-angle lens using distortion cue and fake saliency map
Huazhu Fu and Xiaochun Cao · 2012
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Extended local binary patterns for texture classification
Li Liu, Lingjun Zhao, Yunli Long, Gangyao Kuang, and Paul Fieguth · 2012
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https://signalprocessingsociety.org/newsletter/2013/06/ifs-tc-image-forensics-challenge , 2013
Ieee ifs-tc image forensics challenge dataset · 2013
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CASIA image tampering detection evaluation database
Jing Dong, Wei Wang, and Tieniu Tan · 2013
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Casia image tampering detection evaluation database
Jing Dong, Wei Wang, and Tieniu Tan · 2013
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Estimating exif parameters based on noise features for image manipulation detection
Jiayuan Fan, Hong Cao, and Alex C Kot · 2013
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High-quality real-time video inpaintingwith pixmix
Jan Herling and Wolfgang Broll · 2014
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Image completion using planar structure guidance
Jia-Bin Huang, Sing Bing Kang, Narendra Ahuja, and Johannes Kopf · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Exposing region splicing forgeries with blind local noise estimation
Siwei Lyu, Xunyu Pan, and Xing Zhang · 2014
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Illuminant-based transformed spaces for image forensics
Tiago Carvalho, Fabio A Faria, Helio Pedrini, Ricardo da S Torres, and Anderson Rocha · 2015
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Splicebuster: A new blind image splicing detector
Davide Cozzolino, Giovanni Poggi, and Luisa Verdoliva · 2015
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Made: Masked autoencoder for distribution estimation
Mathieu Germain, Karol Gregor, Iain Murray, and Hugo Larochelle · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Detecting image splicing in the wild (web)
Markos Zampoglou, Symeon Papadopoulos, and Yiannis Kompatsiaris · 2015
Cited alongside, same era.
Behavior knowledge space-based fusion for copy–move forgery detection
Anselmo Ferreira, Siovani C Felipussi, Carlos Alfaro, Pablo Fonseca, John E Vargas-Munoz, Jefersson A Dos Santos, and Anderson Rocha · 2016
Cited alongside, same era.
Evaluation of random field models in multi-modal unsupervised tampering localization
Paweł Korus and Jiwu Huang · 2016
An adaptive neural network for unsupervised mosaic consistency analysis in image forensics
Quentin Bammey, Rafael Grompone von Gioi, and Jean-Michel Morel · 2020
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Span: Spatial pyramid attention network for image manipulation localization
Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, and Ram Nevatia · 2020
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Locally masked convolution for autoregressive models
Ajay Jain, Pieter Abbeel, and Deepak Pathak · 2020
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Imd2020: a large-scale annotated dataset tailored for detecting manipulated images
Adam Novozamsky, Babak Mahdian, and Stanislav Saic · 2020
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Autoregressive unsupervised image segmentation
Yassine Ouali, Céline Hudelot, and Myriam Tami · 2020
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Media forensics and deepfakes: an overview
Luisa Verdoliva · 2020
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Cited alongside, same era.
Color space identification from single images
Haoliang Li, Alex C Kot, and Leida Li · 2016
Cited alongside, same era.
Conditional image generation with pixelcnn decoders
Aaron Van den Oord, Nal Kalchbrenner, Lasse Espeholt, Oriol Vinyals, Alex Graves, et al · 2016
Cited alongside, same era.
Pixel recurrent neural networks
Aäron Van Den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu · 2016
Cited alongside, same era.
Coverage—a novel database for copy-move forgery detection
Bihan Wen, Ye Zhu, Ramanathan Subramanian, Tian-Tsong Ng, Xuanjing Shen, and Stefan Winkler · 2016
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2017
Cited alongside, same era.
Patch-based image inpainting via two-stage low rank approximation
Qiang Guo, Shanshan Gao, Xiaofeng Zhang, Yilong Yin, and Caiming Zhang · 2017
Cited alongside, same era.
Later among the works it cites.
Region normalization for image inpainting
Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, and Sen Liu · 2020
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Searching central difference convolutional networks for face anti-spoofing
Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, and Guoying Zhao · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2021
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Pixel difference networks for efficient edge detection
Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, and Li Liu · 2021
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Mlp-mixer: An all-mlp architecture for vision
Ilya O Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, et al · 2021
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Iid-net: Image inpainting detection network via neural architecture search and attention
Haiwei Wu and Jiantao Zhou · 2021
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Deep generative model for image inpainting with local binary pattern learning and spatial attention
Haiwei Wu, Jiantao Zhou, and Yuanman Li · 2021
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Image tampering localization using a dense fully convolutional network
Peiyu Zhuang, Haodong Li, Shunquan Tan, Bin Li, and Jiwu Huang · 2021
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Mvss-net: Multi-view multi-scale supervised networks for image manipulation detection
Chengbo Dong, Xinru Chen, Ruohan Hu, Juan Cao, and Xirong Li · 2022
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Generic image manipulation localization through the lens of multi-scale spatial inconsistence
Zan Gao, Shenghao Chen, Yangyang Guo, Weili Guan, Jie Nie, and Anan Liu · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Detect and locate: Exposing face manipulation by semantic-and noise-level telltales
Chenqi Kong, Baoliang Chen, Haoliang Li, Shiqi Wang, Anderson Rocha, and Sam Kwong · 2022
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Learning jpeg compression artifacts for image manipulation detection and localization
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, and Changick Kim · 2022
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Pscc-net: Progressive spatio-channel correlation network for image manipulation detection and localization
Xiaohong Liu, Yaojie Liu, Jun Chen, and Xiaoming Liu · 2022
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A principled design of image representation: Towards forensic tasks
Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, and Xiaochun Cao · 2022
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Towards jpeg-resistant image forgery detection and localization via self-supervised domain adaptation
Yuan Rao, Jiangqun Ni, Weizhe Zhang, and Jiwu Huang · 2022
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Objectformer for image manipulation detection and localization
Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, and Yu-Gang Jiang · 2022
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Jpeg compression-aware image forgery localization
Menglu Wang, Xueyang Fu, Jiawei Liu, and Zheng-Jun Zha · 2022
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Self-adversarial training incorporating forgery attention for image forgery localization
Long Zhuo, Shunquan Tan, Bin Li, and Jiwu Huang · 2022
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https://skylum.com/blog/what-is-an-ai-camera , 2023
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[EB/OL], 2023
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Fabrizio Guillaro, Davide Cozzolino, Avneesh Sud, Nicholas Dufour, and Luisa Verdoliva · 2023
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Autosplice: A text-prompt manipulated image dataset for media forensics
Shan Jia, Mingzhen Huang, Zhou Zhou, Yan Ju, Jialing Cai, and Siwei Lyu · 2023
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Image manipulation detection by multiple tampering traces and edge artifact enhancement
Xun Lin, Shuai Wang, Jiahao Deng, Ying Fu, Xiao Bai, Xinlei Chen, Xiaolei Qu, and Wenzhong Tang · 2023
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Explicit visual prompting for low-level structure segmentations
Weihuang Liu, Xi Shen, Chi-Man Pun, and Xiaodong Cun · 2023
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Learning to immunize images for tamper localization and self-recovery
Qichao Ying, Hang Zhou, Zhenxing Qian, Sheng Li, and Xinpeng Zhang · 2023
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Mlp can be a good transformer learner
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