A new block-based method for copy move forgery detection under image geometric transforms

Zhong, Junliu; Gan, Yanfen; Young, Janson; Huang, Lianghu; Lin, Pei-Yu

doi:10.1007/s11042-016-4201-9

Cited by 56 publications

(24 citation statements)

References 16 publications

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“…Figure 6 shows the performance comparison of these schemes with the overall averages of DAR and FPR for the 400 tampered images. We can see that the scheme proposed in [9] has the best detection results for the two kinds of attacks by adding white Gaussian noises and Gaussian blurring. However, its performance clearly drops down if the intensity of these attacks is gradually increased.…”

Section: Performances Comparisonmentioning

confidence: 93%

“…It indicates that the duplicated regions can be detected using the proposed scheme even though the duplicated regions are nonregular. Table 1 shows the comparison result of the proposed scheme and other existing schemes that are presented in [6,7,9]. It indicates that the and in the proposed scheme are better.…”

Section: Effectiveness and Accuracymentioning

confidence: 94%

“…In the last experiment, the performance of the proposed scheme is compared with other schemes presented in [6,7,9]. In this experiment, 400 tampered images are randomly selected from the three databases.…”

Section: Performances Comparisonmentioning

confidence: 99%

“…In this experiment, 400 tampered images are randomly selected from the three databases. They are tested by the proposed scheme and other schemes provided in [6,7,9], respectively. Figure 6 shows the performance comparison of these schemes with the overall averages of DAR and FPR for the 400 tampered images.…”

Section: Performances Comparisonmentioning

confidence: 99%

“…However, the robustness of feature vectors has been concentrated less. Zhong et al in [9] presented a scheme that divides the tampered image into overlapped circular blocks. The features of circular blocks are extracted by the discrete radial harmonic Fourier moments.…”

Section: Introductionmentioning

confidence: 99%

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Perceptual Hashing-Based Image Copy-Move Forgery Detection

Wang

2018

Security and Communication Networks

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This paper proposes a blind authentication scheme to identify duplicated regions for copy-move forgery based on perceptual hashing and package clustering algorithms. For all fixed-size image blocks in suspicious images, discrete cosine transform (DCT) is used to obtain their DCT coefficient matrixes. Their perceptual hash matrixes and perceptual hash feature vectors are orderly addressed. Moreover, a package clustering algorithm is proposed to replace traditional lexicographic order algorithms for improving the detection precision. Similar blocks can be identified by matching the perceptual hash feature vectors in each package and its adjacent package. The experimental results show that the proposed scheme can locate irregular tampered regions and multiple duplicated regions in suspicious images although they are distorted by some hybrid trace hiding operations, such as adding white Gaussian noise and Gaussian blurring, adjusting contrast ratio, luminance, and hue, and their hybrid operations.

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Section: Performances Comparisonmentioning

confidence: 93%

Section: Effectiveness and Accuracymentioning

confidence: 94%

Section: Performances Comparisonmentioning

confidence: 99%

Section: Performances Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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