A robust technique for copy-move forgery detection and localization in digital images via stationary wavelet and discrete cosine transform

Localization of Copy-Move Forgery in Digital Images through Differential Excitation Texture Features

“…Proposed DETF method is capable of detecting multiple forged regions and also is able to detect large circular, rectangular and irregular forged regions. The simulation results demonstrate that proposed method is superior to other CMF detection methods [3,4,7,12,16,[19][20][21][22] in terms of detection rate and outperforms other methods [3,4,7,12,16,19] with regard to computational complexity.…”

“…• Phase #2: In this phase of experiments, our attention is on to assess the robustness of proposed method against various post-processing attacks. • Phase #3: In this phase of experiments, we concentrated on comparative analysis of proposed method with existing methods reported in the literature [3,4,7,12,16,[19][20][21][22].…”

“…Here, the comparative analysis of proposed DETF method with other state of art methods is presented. The various techniques that are considered are: PCA based [7], FMT based [12], SIFT based [3], LBP based [16], SURF based [4], DCT based [19], DCT KPCA based [20], DWT-DCT based [21], SWT-DCT based [22]. The average performance comparison with brightness change, color reduction and blurring operations are illustrated in Fig.…”

“…Proposed method performs well in the presence of this attack (7x7) and achieves TDR of 0.94 and FDR of 0.12. Also, computational complexity of proposed method is compared with other existing methods [3,4,7,12,16,[19][20][21][22]. The computational effort is influenced by the number of overlapping blocks and feature dimension.…”

“…They developed a mask based tampering method to evaluate their algorithm. Toqeer Mahmood et al [22] established a method using Stationary Wavelet Transform (SWT) and DCT. DCT is applied on the SWT approximation subband to obtain reduced feature vector to detect the CMF.…”