Blind image data hiding based on self reference

Wang, Yulin; Pearmain, A.J.

doi:10.1016/j.patrec.2004.06.012

Cited by 97 publications

(45 citation statements)

References 18 publications

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“…Specific organ segmentation based approaches are considered in [11] for CT imaging, an LSB modification scheme that detects and recovers image tampering using a Region-of-Interest approach is considered in [12], [13] and [14] and a method for distortion-free, reversible and fragile medical image watermarking is given in [16]. Other watermarking schemes that focus on applications in medical imaging include those that combine lossless compression and encryption [17] including blind watermarking assuming a DICOM format [18], [19] and [20].…”

Section: Medical Image Information Hidingmentioning

confidence: 99%

Stegacryption of DICOM Metadata

Blackledge¹,

Al-Rawi²,

Tobin³

2014

25th IET Irish Signals &Amp; Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communi

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Section: Medical Image Information Hidingmentioning

confidence: 99%

Stegacryption of DICOM Metadata

Blackledge¹,

Al-Rawi²,

Tobin³

2014

25th IET Irish Signals &Amp; Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communi

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“…The algorithm presented (Yulin Wang, Alan Pearmain, 2004) is blind watermarking based on scene detection. The algorithm is adapted on hardware where Integer DCT is utilized.…”

Section: B Watermarking Embedding Hardware Implementationmentioning

confidence: 99%

Real Time Implementation of Digital Watermarking Algorithm for Image and Video Application

Joshi¹,

Mishra²,

Patrikar³

2012

Watermarking - Volume 2

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“…However, more data cannot be embedded in the transform domain. Several transform domain based (DCT, DHT, SVD, DWT, and CT) [1,2,3,4,5,6,7,8,9,17] watermarking algorithms are available in the current literature. However, these algorithms fail to achieve all requirements of digital image watermarking system, viz., imperceptibility of watermark image, robustness against attacks, information hiding capacity, security, successful retrieval of watermark, and reduced computational complexity.…”

Section: Introductionmentioning

confidence: 99%

On the use of Schur Decomposition for Copyright Protection of Digital Images

Mohan¹,

Swamy²

2010

IJCEE

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Abstract-This paper presents a robust image watermarking scheme for copyright protection of digital images. In this work, Schur decomposition of host image is explored for watermarking . Watermark image is embedded in the two decompositions of Schur decomposition. Schur decomposition is computationally faster and robust to image attacks than Singular Value Decomposition (SVD). Watermark image is embedded in the D component using scalar quantization. A copy of the watermark is embedded in the columns of U matrix using comparison of the coefficients with respect to the watermark image. Since same watermark is embedded in both U matrix and D matrix the robustness is improved. The proposed algorithm is more secure and robust to various attacks, viz., JPEG2000 compression, JPEG compression, rotation, scaling, cropping, row-column blanking, row-column copying, salt and pepper noise, filtering and gamma correction.

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Blind image data hiding based on self reference

Cited by 97 publications

References 18 publications

Stegacryption of DICOM Metadata

Stegacryption of DICOM Metadata

Real Time Implementation of Digital Watermarking Algorithm for Image and Video Application

On the use of Schur Decomposition for Copyright Protection of Digital Images

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