顽健合成图像篡改检测及定位

doi:10.11959/j.issn.1000-0801.2017214

Abstract

Abstract:

Aiming at the problem of tamper detection of composite image of natural images and highly simulated computer-generated images,a method of extracting image block color and texture feature based on differential histogram and local binary texture descriptor in YCbCr color space was proposed.By training posterior probability support vector machine,the image block to be measured was identified.In the case of non-overlapping block,the approximate tampering area was general judged,then the block was discriminated by pixel in the region,ultimately the accurate location of tampering area was achieved.The experimental results show that the recognition rate of 128 dpi×128 dpi image blocks is 94.75%,which is higher than other methods.The tapering region of the synthesized image can be precisely positioned,and the rotation and scaling operation show good coercivity.

Key words: composite image, feature extraction, posterior probability support vector machine, tampering detection

CLC Number:

TP391

Xiao WANG,Rong ZHANG,Lijun GUO. Robust tampering detection and localization of composite image[J]. Telecommunications Science, 2017, 33(8): 120-129.

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References 18

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颜色空间	颜色通道	TPR	TNR	ACC
RGB	R	95%	91%	93%
	G	95.7%	91.2%	93.45%
	B	96.6%	90.6%	93.6%
HSV	H	96.3%	92.1%	94.2%
	S	95.2%	91.1%	93.15%
	V	97%	91%	94%
YCbCr	Y	96.5%	92.4%	94.45%
	Cb	97.2%	91.4%	94.3%
	Cr	96.3%	92.1%	94.2%

算法	块尺寸	特征维数	TPR	TNR	平均正确率
Wavelet^[5]	256 dpi × 256 dpi	216	84.2%	79.6%	81.9%
	128 dpi × 128 dpi		80.2%	78.8%	79.5%
Wavelet+SPN^[11]	256 dpi × 256 dpi	228	83.6%	88.6%	86.1%
	128 dpi × 128 dpi		80.8%	89.7%	85.25%
DH^[7]	256 dpi × 256 dpi	112	95.8%	92.9%	94.35%
	128 dpi × 128 dpi		95.6%	89.4%	92.5%
LBP^[8]	256 dpi × 256 dpi	236	93.6%	86.5%	90.05%
	128 dpi × 128 dpi		92.9%	84.1%	88.5%
DH+CSLBP	256 dpi × 256 dpi	144	98.9%	94.7%	96.8%
	128 dpi × 128 dpi		97.7%	91.8%	94.75%

检测率	0.6	0.8	1.0	1.2
TPR	78.5%	93.9%	94.5%	93.2%
FPR	22.3%	1.8%	3.3%	3.5%

检测率	45°	90°	135°	180°
TPR	78.6%	94.7%	94.2%	92.5%
FPR	12.6%	5.6%	8.9%	8.0%

Robust tampering detection and localization of composite image

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