Haoyue Liu, Wenwei Ma, Xiao Fu, Chengxiu Shen, Yaling Wang. Image Manipulation Detection Algorithm Based on Improved RGB-N[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2211003

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- Laser & Optoelectronics Progress
- Vol. 58, Issue 22, 2211003 (2021)

Fig. 1. Structure of improved RGB-N model

Fig. 2. SRM filter. (a) KB kernel; (b) KV kernel; (c) second order linear kernel

Fig. 3. Structure of feature extraction network

Fig. 4. Self-attention module

Fig. 5. Authenticity judgement module

Fig. 6. Schematic diagram of positive and negative sample selection method. (a) Spliced image; (b) source image of mosaic target; (c) manipulation target label

Fig. 7. Training samples and labeled samples. (a) Target splicing; (b) target erasure and repair

Fig. 8. Visual effects of training different filter parameters. (a) None; (b) KB kernel; (c) second order linear kernel; (d) KB kernel and second order linear kernel

Fig. 9. Visual outputs of model. (a) Target splicing; (b) target erasure and repair; (c) normal images
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Table 1. Results of each algorithm
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Table 2. F1 score of each algorithm when using different quality factors for compression
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Table 3. Results of training different filter parameters
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Table 4. Results of ablation experiment
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Table 5. Results of noise network pooling method
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Table 6. Results of different loss functions

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