2013
DOI: 10.1007/s11760-013-0555-x
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Robust watermarking method in DFT domain for effective management of medical imaging

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Cited by 68 publications
(21 citation statements)
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“…The experimental results showed the effectiveness of the algorithm in providing the authenticity, integrity and tamper localization requirements with PSNR greater than 32.9232 dB. In [34] DFT based watermarking method is proposed to avoid detachment of medical images from their corresponding EPR data. The watermark pattern is produced by combining DICOM metadata and encryption techniques.…”
Section: Fig 1: Watermarking System Frameworkmentioning
confidence: 99%
“…The experimental results showed the effectiveness of the algorithm in providing the authenticity, integrity and tamper localization requirements with PSNR greater than 32.9232 dB. In [34] DFT based watermarking method is proposed to avoid detachment of medical images from their corresponding EPR data. The watermark pattern is produced by combining DICOM metadata and encryption techniques.…”
Section: Fig 1: Watermarking System Frameworkmentioning
confidence: 99%
“…Their results demonstrated significant robustness against amplitude modulation, the print-scan process (PS), half-toning, the print-cam process (PC), cropping, and attacks from the StirMark benchmark software. Cedillo-Hernandez et al [89] studied a robust watermarking method in the DFT domain for managing medical images, which ensured high robustness and preserved the quality of the watermarked images. The proposed method inserts the watermark into the magnitude spectrum of the middle frequencies of the DFT of the original medical image.…”
Section: Of 38mentioning
confidence: 99%
“…In transform domain watermarking, prior to embedding the watermark, transformation such as discrete Fourier transform (DFT) [32][33][34][35][36], discrete-cosine transform (DCT) [37][38][39][40][41][42][43][44][45], discrete-wavelet transform (DWT) [9,22,[46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65], dual tree complex wavelet transform (DTCWT) [66][67][68], contourlet [69][70][71][72], or singular value decomposition (SVD) [44,47,49,52,[73][74][...…”
Section: Transform Domain Techniquesmentioning
confidence: 99%
“…This is because the phase conveys essential information on the image [35,85]. Embedding the watermark in the magnitude part of DFT [34] generates lower Other valuable properties of the magnitude component are shift and translation invariant. With these properties, the embedded watermark will not be affected by a translation or shift in the spatial domain.…”
Section: Discrete-fourier Transformmentioning
confidence: 99%