Browse > Article

딥러닝 기반 영상 조작 및 검출 기술 동향  

O, Byeong-Tae (한국항공대학교)
Publication Information
Broadcasting and Media Magazine / v.27, no.2, 2022 , pp. 62-69 More about this Journal
Keywords
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Yang, Pengpeng, et al. "A survey of deep learning-based source image forensics." Journal of Imaging 6.3 (2020): 9.   DOI
2 Ferrara, Pasquale, et al. "Image forgery localization via fine-grained analysis of CFA artifacts." IEEE Transactions on Information Forensics and Security 7.5 (2012): 1566-1577.   DOI
3 Jiang, Xinghao, et al. "Detection of double compression in MPEG-4 videos based on Markov statistics." IEEE Signal processing letters 20.5 (2013): 447-450.   DOI
4 Bakas, Jamimamul, Anil Kumar Bashaboina, and Ruchira Naskar. "MPEG double compression based intra-frame video forgery detection using CNN." 2018 International Conference on Information Technology (ICIT). IEEE, 2018.
5 Uddin, Kutub, Yoonmo Yang, and Byung Tae Oh. "Double compression detection in HEVC-coded video with the same coding parameters using picture partitioning information." Signal Processing: Image Communication (2022): 116638.
6 Frank, Joel, et al. "Leveraging frequency analysis for deep fake image recognition." International Conference on Machine Learning. PMLR, 2020.
7 Korus, Pawe l, and Jiwu Huang. "Multi-scale analysis strategies in PRNU-based tampering localization." IEEE Transactions on Information Forensics and Security 12.4 (2016): 809-824.   DOI
8 Kang, Xiangui, et al. "Robust median filtering forensics using an autoregressive model." IEEE Transactions on Information Forensics and Security 8.9 (2013): 1456-1468.   DOI
9 Kim, Dongkyu, et al. "Median filtered image restoration and anti-forensics using adversarial networks." IEEE Signal Processing Letters 25.2 (2017): 278-282.   DOI
10 Huang, Fangjun, Jiwu Huang, and Yun Qing Shi. "Detecting double JPEG compression with the same quantization matrix." IEEE Transactions on Information Forensics and Security 5.4 (2010): 848-856.   DOI
11 Zhang, Xu, Svebor Karaman, and Shih-Fu Chang. "Detecting and simulating artifacts in GAN fake images." 2019 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE, 2019.
12 Jiang, Xinghao, et al. "Detection of HEVC double compression with the same coding parameters based on analysis of intra coding quality degradation process." IEEE Transactions on Information Forensics and Security 15 (2019): 250-263.   DOI
13 Piva, Alessandro. "An overview on image forensics." International Scholarly Research Notices (2013).
14 Milani, Simone, et al. "An overview on video forensics." APSIPA Transactions on Signal and Information Processing (2012).
15 Filler, Tomas, Jessica Fridrich, and Miroslav Goljan. "Using sensor pattern noise for camera model identification." 2008 15th IEEE International Conference on Image Processing. IEEE, 2008.
16 Li, Bin, Yun Q. Shi, and Jiwu Huang. "Detecting doubly compressed JPEG images by using mode based first digit features." 2008 IEEE 10th Workshop on Multimedia Signal Processing. IEEE, 2008.
17 Li, Jixian, et al. "Double JPEG compression detection based on block statistics." Multimedia Tools and Applications 77.24 (2018): 31895-31910.   DOI
18 Huang, Xiaosa, Shilin Wang, and Gongshen Liu. "Detecting double JPEG compression with same quantization matrix based on dense CNN feature." 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018.
19 Hong, Jin Hyung, Yoonmo Yang, and Byung Tae Oh. "Detection of frame deletion in HEVC-Coded video in the compressed domain." Digital Investigation 30 (2019): 23-31.   DOI
20 Castillo Camacho, Ivan, and Kai Wang. "A Comprehensive review of deep-Learning-based methods for image forensics." Journal of Imaging 7.4 (2021): 69.   DOI
21 Rossler, Andreas, et al. "Faceforensics++: Learning to detect manipulated facial images." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2019.
22 Qian, Yuyang, et al. "Thinking in frequency: Face forgery detection by mining frequency-aware clues." European Conference on Computer Vision. Springer, Cham, 2020.
23 Wang, Sheng-Yu, et al. "CNN-generated images are surprisingly easy to spot... for now." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2020.
24 Zampoglou, Markos, Symeon Papadopoulos, and Yiannis Kompatsiaris. "Detecting image splicing in the wild (web)." 2015 IEEE International Conference on Multimedia & Expo Workshops. IEEE, 2015.
25 Kirchner, Matthias, and Rainer Bohme. "Hiding traces of resampling in digital images." IEEE Transactions on Information Forensics and Security 3.4 (2008): 582-592.   DOI
26 Guan, Haiying, et al. "MFC datasets: Large-scale benchmark datasets for media forensic challenge evaluation." 2019 IEEE Winter Applications of Computer Vision Workshops. IEEE, 2019.
27 Qureshi, Muhammad Ali, and El-Sayed M. El-Alfy. "Bibliography of digital image anti-forensics and anti-anti-forensics techniques." IET Image Processing 13.11 (2019): 1811-1823.   DOI
28 Luo, Yingmin, et al. "Anti-forensics of JPEG compression using generative adversarial networks." 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018.
29 Zhao, Xinwei, Chen Chen, and Matthew C. Stamm. "A Transferable anti-forensic attack on forensic CNNs using a generative adversarial network." arXiv preprint arXiv:2101.09568 (2021).