数学形态学在数字伪造模糊检测中的应用

doi:10.11959/j.issn.2096-109x.2017.00152

Abstract

Abstract:

Aiming at the fuzzy operation commonly used in image tampering,a new fuzzy detection scheme using smooth filter preserving edges and mathematical morphological methods was studied.By using the sharpening function and denoising function of both methods,tampering and location of tampering position can be pointed out without embedding information such as watermarking technique.The method can not only determine whether an image has been virtualized,but also detect the extent of the image blur.Experimental results confirm the effectiveness of the scheme.

Key words: image forensics, mathematical morphology, blur, edge

CLC Number:

TP391

Hui-fen HUANG,Zhi-hong WANG,Yu-hong CHANG. Blur detection of digital forgery using mathematical morphology[J]. Chinese Journal of Network and Information Security, 2017, 3(4): 20-25.

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References 15

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检测的图像	图像数量/个	正确数量/个	失误数量/个	检出率
来源于Worth1000的原始图像	20	19	1	95%
来源于Worth1000的处理图像	55	46	9	83.6%
索尼相机拍摄原图	118	108	10	91.5%
柯达相机拍摄原图	125	112	13	89.6%

Blur detection of digital forgery using mathematical morphology

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