几何约束下噪声一致性的图像拼接篡改检测

doi:10.16180/j.cnki.issn1007-7820.2022.10.009

Abstract

Abstract:

When the noise level estimation method based on image block is applied to splicing image localization, it will cause the segmentation edge to be jagged and reduce the accuracy of edge positioning. In view of the problem, this study proposes an image splicing detection algorithm based on geometric constraints and noise consistency analysis. Statistical-based noise level estimation and K-means algorithm are used to achieve preliminary detection and positioning for each image block. The point set at the edge of the initial splicing area is extracted, and each point is used as the center to search for the square range on the edge map in turn to splice the edge of the area. Subsequently, the geometric constraint filtering algorithm is used to select the suspected tampering edge points to locate the tampering area. Compared with the existing algorithm, when the correct detection rate is the same on Columbia, the proposed method can reduce the error detection rate by 12.7% and reduce the complexity of the algorithm.

Key words: splicing detection, geometric constraints, noise estimation, image forensics, edge detection, regional location, K-means, principal component analysis

CLC Number:

TP391.4

LU Dongsheng,ZHANG Yujin,ZHU Hai,JIANG Yuewu. Image-Splicing Forgery Detection Based on Noise Consistency Under Geometric Constraints[J].Electronic Science and Technology, 2022, 35(10): 51-58.

Figures/Tables 10

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References 24

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方法	图像3		图像4		图像5
方法	TPR	FPR	TPR	FPR	TPR	FPR
初步检测结果	0.959 7	0.015 8	0.905 3	0.003 3	0.940 6	0.041 0
最终检测结果	0.996 3	0.009 4	0.939 0	0.003 0	0.995 6	0.040 0

方法	图像6		图像7		图像8
方法	TPR	FPR	TPR	FPR	TPR	FPR
文献[16]	0.864 0	0.022 8	0.725 0	0.024 0	0.612 3	0.061 0
文献[16]-GCF	0.955 5	0.000 0	0.894 0	0.006 2	0.827 0	0.013 3
文献[19]	0.845 7	0.001 5	0.676 2	0.006 6	0.640 2	0.078 1
文献[19]-GCF	0.943 0	0.000 7	0.885 1	0.004 8	0.897 6	0.000 3
本文	0.966 8	0.167 3	0.897 4	0.010 0	0.863 5	0.009 8

方法	无后处理		JPEG QF=95		0.8倍下采样
方法	TPR	FPR	TPR	FPR	TPR	FPR
本文	63.60	13.80	30.40	17.50	64.30	14.10
文献[16]	30.80	21.30	29.60	14.90	36.20	18.90
文献[16]-GCF	32.40	20.40	31.70	14.35	37.70	18.80
文献[17]	36.80	23.00	37.70	20.70	32.00	20.90
文献[19]	47.90	18.50	22.00	10.80	46.00	23.50
文献[19]-GCF	55.70	17.90	21.00	8.60	52.40	24.20
文献[20]	58.50	12.20	29.30	16.80	57.90	13.80
文献[21]	63.60	26.50	52.40	25.00	50.80	25.60

方法	检测时间/s
本文	4.99
文献[16]	0.42
文献[16]-GCF	2.37
文献[17]	4.20
文献[19]	9.42
文献[19]-GCF	11.37
文献[20]	3.04
文献[21]	171.85

Image-Splicing Forgery Detection Based on Noise Consistency Under Geometric Constraints

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