OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 22, Issue 2, 73(2024)
CG Image Detection Based on Generalized Center Difference Convolution and Spatial Layout Mechanism
[2] [2] Ke Y,Min W,Du X,et al. Detecting the composite of photographic image and computer generated image combining with color,texture and shape feature[J]. Journal of Theoretical and Applied Information Technology,2013,49(2):844-851.
[3] [3] Pan F,Chen J B,Huang J W. Discriminating between photorealistic computer graphics and natural images using fractal geometry[J]. Science in China Series F:Information Sciences,2009,52(2):329-337.
[4] [4] Ozparlak L,Avcibas I. Differentiating between images using wavelet-based transforms:a comparative study[J].IEEE Transactions on Information Forensics and Security,2011,6(4):1418-1431.
[5] [5] Rahmouni N,Nozick V,Yamagishi J,et al. Distinguishing computer graphics from natural images using convolution neural networks[C]//IEEE International Workshop on Information Forensics and Security,Rennes,France,2017:1-6.
[6] [6] Yao Y,Hu W T,Zhang W,Wu T. Distinguishing computer-generated graphics from natural images based on sensor pattern noise and deep learning[J]. Sensors,2019,18(4):1296.
[7] [7] Quan W,Wang K,Yan D M,et al. Distinguishing between natural and computer-generated images using convolutional neural networks[J]. IEEE Transactions on Information Forensics and Security,2018,13(11):2772-2787.
[8] [8] Zhang R S,Quan W Z,Fan LB,et al. Distinguishing computer generated images from natural images using channel and pixel correlation[J]. Computer Science and Technology,2020,35(3):592-602.
[9] [9] He P S,Jiang X H,Sun T,et al. Computer graphics identification combining convolutional and recurrent neural networks[J]. IEEE Signal processing Letters. 2018,25(9):1369-1373.
[10] [10] Meenai A,Khan V. Survey of methods applying deep learning to distinguish between computer generated and natural images[J]. Social Networking and Computational Intelligence. Lecture Notes in Networks and Systems,2020,100:217-225.
[13] [13] Yu Z,Zhao C,Wang Z,et al. Searching central difference convolutional networks for face anti-spoofing[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020:5295-5305.
[14] [14] Woo S,Park J,Lee J Y,et al. Cbam:Convolutional block attention module[C]//Proceedings of the European conference on computer vision(ECCV),2018:3-19.
[15] [15] Feng T,Zhai Y,Yang J,et al. Ic9600:A benchmark dataset for automatic image complexity assessment[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2022:1-17.
[16] [16] Tokuda E,Pedrini H,Rocha A. Computer generated images vs digital photographs:A synergetic feature and classifier combination approach[J]. Journal of Visual Communication and Image Representation,2013,24(8):1276-1292.
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ZHANG Ying, ZHU Nan. CG Image Detection Based on Generalized Center Difference Convolution and Spatial Layout Mechanism[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2024, 22(2): 73
Received: Sep. 23, 2023
Accepted: --
Published Online: Jun. 27, 2024
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