A high capacity image adaptive watermarking scheme with radial harmonic Fourier moments

Singh, Chandan; Ranade, Sukhjeet K.

doi:10.1016/j.dsp.2013.05.006

Cited by 24 publications

(7 citation statements)

References 20 publications

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“…In our case, even when we use base images with larger dimensions, we acquire for more rotations. The same happens when facing JPEG compression attacks, because in Singh and Ranade ( 2013 ), only when the compression factors go up to 30, the BER = 0; from there downwards, the BER starts to raise. In our approach, the watermark is successfully extracted with lower compression factors.…”

Section: Test and Resultsmentioning

confidence: 86%

“…In our case, every image, with the exception of the image named Cambridge2 , when a 64 bits watermark was applied, the PSNR values were over 40 dB, and as mentioned, exhibited a good performance in regards to robustness. Furthermore, the algorithm described in Singh and Ranade ( 2013 ) presents a high capability watermarking technique through the Fast Radial Harmonic Fourier moments ( RHFMs ). While trying to preserve the visual quality of the embedded image, they make use of an adaptive insertion method.…”

Section: Test and Resultsmentioning

confidence: 99%

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Robust watermark technique using masking and Hermite transform

2016

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The following paper evaluates a watermark algorithm designed for digital images by using a perceptive mask and a normalization process, thus preventing human eye detection, as well as ensuring its robustness against common processing and geometric attacks. The Hermite transform is employed because it allows a perfect reconstruction of the image, while incorporating human visual system properties; moreover, it is based on the Gaussian functions derivates. The applied watermark represents information of the digital image proprietor. The extraction process is blind, because it does not require the original image. The following techniques were utilized in the evaluation of the algorithm: peak signal-to-noise ratio, the structural similarity index average, the normalized crossed correlation, and bit error rate. Several watermark extraction tests were performed, with against geometric and common processing attacks. It allowed us to identify how many bits in the watermark can be modified for its adequate extraction.

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Section: Test and Resultsmentioning

confidence: 86%

Section: Test and Resultsmentioning

confidence: 99%

Robust watermark technique using masking and Hermite transform

2016

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“…Among the several moment-based methodologies [158] incorporating moments as information carriers, new moment families [78,166,139,140,154,155], moments with improved local behavior [185,26,118,119], RST (Rotation, Scale, Translation)…”

Section: Multimedia Watermarkingmentioning

confidence: 99%

Over 50 Years of Image Moments and Moment Invariants

Papakostas¹

2014

Moments and Moment Invariants - Theory and Applications

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This chapter aims to analyze the research eld of moments and moment invariants in a holistic way. Initially, a literature analysis of the last 50 years is presented and discussed in order to highlight the potential of this topic and the increasing interest in many disciplines. A more in depth study of the issues addressed through the years by the researchers is next presented both in theory and applications of moments. The most representative works in each research direction are discussed in a chronological order to point out the progress in each specic eld of action. This analysis concludes with the challenges and perspectives that should motivate researchers towards the promotion of the moments and their invariants to new scientic horizons. For the rst time, this chapter gives a global overview of what happened in the last 50 years in moments and moment invariants research eld, but most of all it brings to light the open issues that should be addressed and highlights the rising topics that will occupy the scientists in the coming years. This chapter serves as a guide to those who nd the eld of moments and moment invariants a brilliant eld of action since it encloses all the milestones of this eld.

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“…Subsequently, several techniques were raised and used for the watermark image, such as the Zernike moments (ZMs), the pseudo-Zernike moments (PZMs), the Tchebichef moments (TMs), wavelet moments, Krawtchouk moments (KMs), Legendre moments (LMs), and Fourier Mellin moments (FMMs), which were investigated and evaluated in Ref. 30, 31, 32, etc. In 2013, Singh and Radane 33,34 introduced an adaptive watermarking scheme for geometrically invariant and improved the high capacity of watermarking based on the ZMs, the PHTs, and the radial harmonic Fourier moments. Generally speaking, the moments and transforms can be divided into two types: the orthogonal and the nonorthogonal.…”

Section: Introductionmentioning

confidence: 99%

Image watermarking via fractional polar harmonic transforms

Sun

2015

J. Electron. Imaging

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Invariant harmonic transforms based on the fractional Fourier transform are proposed in this paper. The so-called fractional polar harmonic transforms (FrPHTs) with the order parameter α are first defined, which are generalizations of the PHTs. Second, a watermarking scheme is presented and discussed in detail associated with the newly defined FrPHTs. Finally, the simulations are clearly performed to verify the well capabilities of the transforms on image watermarking, which show that the proposed transforms with suitable parameters outperform the traditional PHTs. In addition, the experimental results also demonstrate that the order parameter α has an effect on the performance of FrPHTs in the image watermarking robustness and can improve the watermarking safety.

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A high capacity image adaptive watermarking scheme with radial harmonic Fourier moments

Cited by 24 publications

References 20 publications

Robust watermark technique using masking and Hermite transform

Robust watermark technique using masking and Hermite transform

Over 50 Years of Image Moments and Moment Invariants

Image watermarking via fractional polar harmonic transforms

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