Robust SS watermarking with improved capacity

Maity, Santi P.; Kundu, Malay K.; Das, Tirtha Sankar

doi:10.1016/j.patrec.2006.04.004

Cited by 43 publications

(21 citation statements)

References 9 publications

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“…The approaches include various signal processing methods, like preprocessing the host prior to embed the watermark (Langelaar, 2000), use of pre-whitening schemes prior to correlation detection for minimizing the variance of HSI (Kumar & Sreenivas, 2007), statistical whitening techniques based on stochastic modeling (Kim, 2000), exploiting the white spectral nature of linear prediction residual (Seok & Hong, 2010) or the Savitzky-Golay residual (Cvejic & Seppanen, 2002), the symmetric phase only match filtering (Haitsma et al, 2000) and cepstral filtering (Kirovski & Malvar, 2003) etc. To increase payload in SS watermarking, the concept of M-ary modulation and code division multiple access (CDMA) are used (Maity & Kundu, 2007a). It has been shown that performance improvement in former makes it impractical in real-time due to the exponential increase in computation cost with large M-values, while CDMA based algorithms are interference limited (Maity & Kundu, 2004;Maity & Kundu, 2011).…”

Section: Related Work and Limitationsmentioning

confidence: 99%

“…Spread spectrum (SS) modulation based watermarking methods are widely used and popular, satisfying two important characteristics, namely (i) it may help in achieving high document-towatermark ratio (DWR) leading to low distortion due to watermark insertion and (ii) it can also help to achieve robustness against forced removal of hidden data (Cox et al 1997;Maity et al, 2007a). In SS watermarking, the bits composing the desired message are modulated using spreading code patterns and are added to the host (original) signal.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spread Spectrum Watermarking: Principles and Applications in Fading Channel

Maity¹,

Maity²,

Sil³

et al. 2012

Watermarking - Volume 1

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Section: Related Work and Limitationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spread Spectrum Watermarking: Principles and Applications in Fading Channel

Maity¹,

Maity²,

Sil³

et al. 2012

Watermarking - Volume 1

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“…Thus a set of PN matrices denoted by (P i ) of number (M m .N m ) are generated. It is reported in [8] that cross-correlation values among the code patterns decrease if the later is modulated by Hadamard matrix.…”

Section: Watermark Embeddingmentioning

confidence: 99%

“…Spread spectrum is accomplished by spreading a narrow band watermark into wide spectrum of the cover so that watermark energy for each frequency bin becomes less and could hardly be detectable [8]. Several SS watermarking schemes for multimedia signals are developed using DCT [9], Fourier-Mellin [10] and Wavelet [11] transforms.…”

Section: Introductionmentioning

confidence: 99%

Dual purpose FWT domain spread spectrum image watermarking in real time

Maity

Kundu

Maity³

2009

Computers & Electrical Engineering

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Spread spectrum (SS) watermarking for multimedia signal becomes appealing due to its high robustness attribute and is used widely for various applications. Some of these applications essentially demand development of low cost algorithms so that they can be used for real time services such as broadcast monitoring, security in communication etc. In recent time one popular non-conventional application of digital watermarking becomes promising that assesses blindly the QoS (quality of services) of the multimedia services which is expected to be offered by the future generation mobile radio network. Majority of the existing SS watermarking schemes suffer from high computation cost and complexity leading to the difficulty for realtime implementation and limits their usage for the above mentioned applications. This paper proposes Fast Walsh Transform (FWT) based SS image watermarking scheme that serves the dual purposes of authentication in data transmission as well as QoS assessment for digital media through dynamic estimation of the wireless channel condition. Fast Walsh transform offers low computation cost for implementation, smaller change in image (multimedia signal) information due to data embedding and ease of hardware realization. VLSI implementation using Field Programmable Gate Array (FPGA) has been developed to make it suitable for real time implementation.

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“…Moreover, robustness performance of the work is also poor as host signal interference, which plays an important role in detector's performance, is not taken into consideration [8]. We have studied that M-band decomposition solves the latter problem in a better way compared to DWT system as the former analyzes high frequency signals with relatively narrow bandwidth.…”

Section: Review Of the Background Workmentioning

confidence: 99%

Performance improvement in spread spectrum watermarking via M-band wavelets and N-ary modulation

Maity¹,

Kundu²,

Mandal³

2006

IET International Conference on Visual Information Engineering (VIE 2006)

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Performance of a digital image watermarking algorithm, in general, is indicated by perceptual invisibility, data hiding capacity and robustness to some types of attacks. The work reported in this paper uses a novel channel coding, M-band wavelet decomposition and N-ary modulation principle for performance improvement in spread spectrum image watermarking. Watermark casting process may be divided in two steps: in first step a gray scale watermark image is represented by less number of binary digits using novel channel coding and spatial biphase modulation principle. In the second step, the intermediate binary watermark is embedded in selective M-band wavelets channels using N-ary modulation technique. Each watermark bit is embedded in the two different set of subbands having high and low variance values so that faithful decoding is possible against varieties of external attacks. The present investigation has shown that the decoding complexity of higher N-values can be overcome at moderate M-values while robustness performance is maintained at satisfactory level.

show abstract

Robust SS watermarking with improved capacity

Cited by 43 publications

References 9 publications

Spread Spectrum Watermarking: Principles and Applications in Fading Channel

Spread Spectrum Watermarking: Principles and Applications in Fading Channel

Dual purpose FWT domain spread spectrum image watermarking in real time

Performance improvement in spread spectrum watermarking via M-band wavelets and N-ary modulation

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