Computer Science ›› 2025, Vol. 52 ›› Issue (4): 327-335.doi: 10.11896/jsjkx.240100142
• Information Security • Previous Articles Next Articles
MENG Sijiang, WANG Hongxia, ZENG Qiang, ZHOU Yang
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| [1]WU Y,ABDALMAGEED W,NATARAJAN P.ManTra-Net:Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition.IEEE CompSoc,2019:9535-9544. [2]KWON M J,YU I J,NAM S H,et al.CAT-Net:Compression Artifact Tracing Network for Detection and Localization of Image Splicing[C]//IEEE Winter Conference on Applications of Computer Vision(WACV).IEEE Comp Soc,2021:375-384. [3]LI S,XU S,MA W,et al.Image Manipulation Localization Using Attentional Cross-Domain CNN Features[J].IEEE Transactions on Neural Networks and Learning Systems,2021,34(9):5614-5628. [4]CHEN X,DONG C,JI J,et al.Image Manipulation Detection byMulti-View Multi-Scale Supervision[C]//IEEE/CVF International Conference on Computer Vision(ICCV).IEEE Comp Soc,2021:14165-14173. [5]WU H,ZHOU J,TIAN J,et al.Robust Image Forgery Detection Against Transmission Over Online Social Networks[J].IEEETransactions on Information Forensics and Security,2022,17:443-456. [6]CHEN J,LIAO X,WANG W,et al.SNIS:A Signal Noise Separation-Based Network for Post-Processed Image Forgery Detection[J].IEEE Transactions on Circuits and Systems for Video Technology,2023,33(2):935-951. [7]CRUZ F,SIDÈRE N,COUSTATY M,et al.Local Binary Patterns for Document Forgery Detection[C]//2017 14th IAPR International Conference on Document Analysis and Recognition(ICDAR):Vol.01.IEEE Comp Soc,2017:1223-1228. [8]BERTRAND R,TERRADES O R,GOMEZ-KRÄMER P,et al.A Conditional Random Field model for font forgery detection[C]//2015 13th International Conference on Document Analysis and Recognition(ICDAR).IEEE Comp Soc,2015:576-580. [9]GORNALE S S,PATIL G,BENNE R.Document Image ForgeryDetection Using RGB Color Channel[J].Transactions on Engineering and Computing Sciences,2022,10(5):1-14. [10]XU W,LUO J,ZHU C,et al.Document images forgery localization using a two-stream network[J].International Journal of Intelligent Systems,2022,37(8):5272-5289. [11]YANG P,FANG W,ZHANG F,et al.Document Image Forgery Detection Based on Deep Learning Models[C]//2022 International Symposium on Electrical,Electronics and Information Engineering(ISEEIE).World Scientific,2022:36-41. [12]JAISWAL G,SHARMA A,YADAV S K.Deep feature extraction for document forgery detection with convolutional autoencoders[J].Computers and Electrical Engineering,2022,99:107770. [13]QU C,LIU C,LIU Y,et al.Towards Robust Tampered Text Detection in Document Image:New Dataset and New Solution[C]//2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).IEEE Comp Soc,2023:5937-5946. [14]LIAO X,CHEN S,CHEN J,et al.CTP-Net:Character Texture Perception Network for Document Image Forgery Localization[J].arXiv:2308.02158,2023. [15]FERRARA P,BIANCHI T,DE ROSA A,et al.Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts[J].IEEE Transactions on Information Forensics and Security,2012,7(5):1566-1577. [16]SUTCU Y,COSKUN B,SENCAR H T,et al.Tamper Detection Based on Regularity of Wavelet Transform Coefficients[C]//IEEE International Conference on Image Processing(ICIP 2007).IEEE Comp Soc,2007:397-400. [17]BAPPY J H,SIMONS C,NATARAJ L,et al.Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries[J].IEEE Transactions on Image Processing,2019,28(7):3286-3300. [18]ZHANG Z,ZHANG Y,ZHOU Z,et al.Boundary-Based Image Forgery Detection by Fast ShallowCNN[C]//International Conference on Pattern Recognition(ICPR).IEEE Comp Soc,2018:2658-2663. [19]AMERINI I,URICCHIO T,BALLAN L,et al.Localization of JPEG Double Compression Through Multi-domain Convolutional Neural Networks[C]//IEEE/CVF Conferenceon Computer Vision and Pattern Recognition Workshops(CVPRW).IEEE Comp Soc,2017:1865-1871. [20]LI W,LI X,NI R,et al.Quantization Step Estimation for JPEG Image Forensics[J].IEEE Transactions on Circuits and Systems for Video Technology,2022,32(7):4816-4827. [21]WANG H,WANG J,LUO X,et al.Detecting Aligned Double JPEG Compressed Color Image With Same Quantization Matrix Based on the Stability of Image[J].IEEE Transactions on Circuits and Systems for Video Technology,2022,32(6):4065-4080. [22]GOU H,SWAMINATHAN A,WU M.Noise Features forImage Tampering Detection and Steganalysis[C]//IEEE International Conference on Image Processing(ICIP 2007).IEEE Comp Soc,2007:97-100. [23]MAHDIAN B,SAIC S.Using Noise Inconsistencies for BlindImage Forensics[J].Image and Vision Computing,2009,27(10):1497-1503. [24]ZHOU P,HAN X,MORARIU V I,et al.Learning Rich Fea-tures for Image Manipulation Detection[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).IEEE Comp Soc,2018:1053-1061. [25]HU X,ZHANG Z,JIANG Z,et al.SPAN:Spatial Pyramid Attention Network for Image Manipulation Localization[C]//Computer Vision - ECCV 2020.Springer International Publishing,2020:312-328. [26]YANG C,LI H,LIN F,et al.Constrained R-Cnn:A General Image Manipulation Detection Model[C]//IEEE International Conference on Multimedia and Expo(ICME).IEEE Comp Soc,2020:1-6. [27]LUO Z,SHAFAIT F,MIAN A.Localized forgery detection in hyperspectral document images[C]//2015 13th International Conference on Document Analysis and Recognition(ICDAR).IEEE Comp Soc,2015:496-500. [28]BIBI M,HAMID A,MOETESUM M,et al.Document Forgery Detection using Printer Source Identification－A Text-Independent Approach[C]//2019 International Conference on Document Analysis and Recognition Workshops(ICDARW):Vol.8.IEEE Comp Soc,2019:7-12. [29]LIANG W,DONG L,WANG R,et al.Robust Document Image Forgery Localization Against Image Blending[C]//2022 IEEE International Conference on Trust,Security and Privacy in Computing and Communications(TrustCom).IEEE Comp Soc,2022:810-817. [30]TAN M,LE Q.EfficientNet:Rethinking Model Scaling for Convolutional Neural Networks[C]//Proceedings of the 36th International Conference on Machine Learning.PMLR,2019:6105-6114. [31]SHI B,BAI X,YAO C.An End-to-End Trainable Neural Net-work for Image-Based Sequence Recognition and Its Application to Scene Text Recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(11):2298-2304. [32]LYU P,LIAO M,YAO C,et al.Mask TextSpotter:An End-to-End Trainable Neural Network for Spotting Text with ArbitraryShapes[C]//Proceedings of the European Conference on Computer Vision(ECCV).Springer,2018:67-83. [33]QIAO Z,ZHOU Y,YANG D,et al.SEED:Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.IEEE Comp Soc,2020:13528-13537. [34]LI M,LV T,CHEN J,et al.TrOCR:Transformer-Based Optical Character Recognition with Pre-trained Models[J].Proceedings of the AAAI Conference on Artificial Intelligence,2023,37(11):13094-13102. [35]CASTRO-BLEDA M J,ESPAÑA-BOQUERA S,PASTOR-PELLICER J,et al.The NoisyOffice Database:A Corpus To Train Supervised Machine Learning Filters For Image Proces-sing[J].The Computer Journal,2020,63(11):1658-1667. [36]HUAWEI CLOUD.Huawei cloud visual information extraction competition[EB/OL].https://competition.huaweicloud.com/information/1000041696/introduction. [37]BAO H,DONG L,PIAO S,et al.BEiT:BERT Pre-Training of Image Transformers[C]//International Conference on Learning Representations.OpenReview,2021. [38]LIU Z,HU H,LIN Y,et al.Swin Transformer V2:Scaling Up Capacity and Resolution[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.IEEE Comp Soc,2022:12009-12019. |
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