Robust Image Watermarking Based on Multiscale Gradient Direction Quantization

Nezhadarya, Ehsan; Wang, Z. J.; Ward, Rabab K.

doi:10.1109/tifs.2011.2163627

Cited by 119 publications

(57 citation statements)

References 37 publications

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“…On the left-hand side, we get, by definition, . On the right-hand side, we get , where factor comes from the fact that the value of the angular coordinate is instead of , i.e., (48) Thus, given Lemma 1, we can write (49) thus proving (43).…”

Section: Fourier Transform Of the Steering Basesmentioning

confidence: 95%

“…Estimating the gradient of a given image is an important computational step in many image processing and pattern recognition tasks, such as contour detection and image segmentation [4], [33]- [35], active contours [36]- [38], denoising [39], image classification [40], image alignment [41], watermarking [42], [43], and biomedical imaging [44], [45], just to cite a few. The main difficulty when computing the gradient of an image is that, as well known, it is an ill-posed problem, as infinitesimal perturbations of the input image may produce large variations of its gradient.…”

Section: Applicationmentioning

confidence: 99%

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New Families of Fourier Eigenfunctions for Steerable Filtering

Papari

Campisi

Petkov

2012

IEEE Trans. on Image Process.

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Section: Fourier Transform Of the Steering Basesmentioning

confidence: 95%

Section: Applicationmentioning

confidence: 99%

New Families of Fourier Eigenfunctions for Steerable Filtering

Papari

Campisi

Petkov

2012

IEEE Trans. on Image Process.

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“…The outputs are down-sampled by 2 after performing the low-pass and high-pass filtering. 2D DWT is done by executing 1D DWT on each row, which is known as horizontal filtering and then on each column, which is known as vertical filtering [11].…”

Section: A Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

Digital Image Watermarking using DWT-SVD HF Technique

Kumari¹,

Vyas²

2017

IJCA

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In this research work adopted the frequency domain watermarking scheme which is embedded using discrete wavelet transform (DWT) singular value decomposition (SVD) and High Boost Filtering (HF). By singular values factoring it represent smaller set of values and it can preserve constructive feature of an original image. After that, apply high boost filtering in decomposed in high frequency sub-band on both images to improve the value PSNR. The MSE, PSNR and NC performance parameters are taken to measure the efficiency of the propose method. The simulated experimentation is done in MATLAB and the simulation results of propose method (DWT-SVD-HF) gives improved results than the existing method (DWT).

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“…In a robust watermarking, a watermark usually carries information regarding the owner in order to validate who the image belongs to (e.g., which person, which institute or organization, etc.). Thus, these watermarking schemes are being used for content authentication purposes in various digital image applications (e.g., copyright protection) [68,73,79,[82][83][84][85][86]. Semi-fragile and fragile watermarks are being used to carry much information about itself, its owner's metadata, its distribution, etc., and are thus used for annotation (e.g., hiding ETR or EPR, etc.)…”

Section: Choice Of Design and Evaluation Parametersmentioning

confidence: 99%

A Review of Medical Image Watermarking Requirements for Teleradiology

2012

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Teleradiology allows medical images to be transmitted over electronic networks for clinical interpretation and for improved healthcare access, delivery, and standards. Although such remote transmission of the images is raising various new and complex legal and ethical issues, including image retention and fraud, privacy, malpractice liability, etc., considerations of the security measures used in teleradiology remain unchanged. Addressing this problem naturally warrants investigations on the security measures for their relative functional limitations and for the scope of considering them further. In this paper, starting with various security and privacy standards, the security requirements of medical images as well as expected threats in teleradiology are reviewed. This will make it possible to determine the limitations of the conventional measures used against the expected threats. Furthermore, we thoroughly study the utilization of digital watermarking for teleradiology. Following the key attributes and roles of various watermarking parameters, justification for watermarking over conventional security measures is made in terms of their various objectives, properties, and requirements. We also outline the main objectives of medical image watermarking for teleradiology and provide recommendations on suitable watermarking techniques and their characterization. Finally, concluding remarks and directions for future research are presented.

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Robust Image Watermarking Based on Multiscale Gradient Direction Quantization

Cited by 119 publications

References 37 publications

New Families of Fourier Eigenfunctions for Steerable Filtering

New Families of Fourier Eigenfunctions for Steerable Filtering

Digital Image Watermarking using DWT-SVD HF Technique

A Review of Medical Image Watermarking Requirements for Teleradiology

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