Improving the Payload of Watermarking Channels via LDPC Coding

Bastug, A.; Sankur, B.

doi:10.1109/lsp.2003.819350

Cited by 27 publications

(31 citation statements)

References 5 publications

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“…6 shows the bit error rate (BER) of the spread spectrum watermarking system using the EQ-BMW model. It is clear that the proposed system outperforms that based on a block DCT model [12]. It is worth noting that while the block DCT model performs watermark decoding using an ML detector, the BMW-based system uses a simple correlator for watermark detection.…”

Section: Simulation Resultsmentioning

confidence: 93%

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High capacity watermarking using balanced multiwavelet transforms

Ghouti

Bouridane²,

Boussakta³

2005

IEEE International Conference on Image Processing 2005

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Abstract-The emergence of digital multimedia and the proliferation of its use have raised major concerns about the protection of intellectual property. In response to these concerns, digital watermarks have emerged as a possible solution for protecting the intellectual property of digital content. In this paper, we derive estimates of data-hiding capacity of balanced multiwavelet transforms. This class of transforms, relatively new, has useful properties for image processing applications as shown in this paper. Furthermore, we will investigate the relevance of two closely related statistical models, developed for scalar wavelets, for modeling the statistics of balanced multiwavelet transform coefficients. Finally, we will present performance results of a spread spectrum watermarking system that is based on this new transform.

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Section: Simulation Resultsmentioning

confidence: 93%

“…We test the performance of the watermarking system using various test images (Lena, Barbara, Peppers, and Baboon). Also, we provide comparison with another system based on block DCT model [12]. Fig.…”

Section: Simulation Resultsmentioning

confidence: 99%

High capacity watermarking using balanced multiwavelet transforms

Ghouti

Bouridane²,

Boussakta³

2005

IEEE International Conference on Image Processing 2005

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“…For comparison with other watermarking algorithms the proposed system is also compared to spread transform complex wavelet algorithm proposed by Loo [9] and the spread spectrum DCT algorithm proposed by Bastug et al [1]. Results are given for embedding in a 256x256 Lena image with 128 and 256 bits being embedded respectively.…”

Section: Resultsmentioning

confidence: 99%

Watermarking for Multimedia Security Using Complex Wavelets

Thompson¹,

Bouridane²,

Kurugöllü³

et al. 2010

JMM

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Abstract-This paper investigates the application of complex wavelet transforms to the field of digital data hiding. Complex wavelets offer improved directional selectivity and shift invariance over their discretely sampled counterparts allowing for better adaptation of watermark distortions to the host media. Two methods of deriving visual models for the watermarking system are adapted to the complex wavelet transforms and their performances are compared. To produce improved capacity a spread transform embedding algorithm is devised, this combines the robustness of spread spectrum methods with the high capacity of quantization based methods. Using established information theoretic methods, limits of watermark capacity are derived that demonstrate the superiority of complex wavelets over discretely sampled wavelets. Finally results for the algorithm against commonly used attacks demonstrate its robustness and the improved performance offered by complex wavelet transforms.Index Terms-Complex wavelets, spread transform, capacity, human visual system, watermarking.

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“…Another approach is to quantize the host signal such that transform an area that it is decoded as the good watermark signal [7] by adding controlled noise at the encoder. For improving the payload of the watermarking channels, payload is coded by LDPC codes [9]. Independent from the watermarking community, [12] proposed a new quantization scheme based on iterative codes on graph, specifically LDPC codes.…”

Section: Previous Workmentioning

confidence: 99%

Dirty-Paper Writing Based on LDPC Codes for Data Hiding

Dikici

Idrissi

Başkurt

2006

Multimedia Content Representation, Classification and Security

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Abstract. We describe a new binning technic for informed data hiding problem. In information theoretical point of view, the blind watermarking problem can be seen as transmitting a secret message M through a noisy channel on top of an interfered host signal S that is available only at the encoder. We propose an embedding scheme based on Low Density Parity Check(LDPC) codes, in order to quantize the host signal in an intelligent manner so that the decoder can extract the hidden message with a high probability. A mixture of erasure and symmetric error channel is realized for the analysis of the proposed method.

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Improving the Payload of Watermarking Channels via LDPC Coding

Cited by 27 publications

References 5 publications

High capacity watermarking using balanced multiwavelet transforms

High capacity watermarking using balanced multiwavelet transforms

Watermarking for Multimedia Security Using Complex Wavelets

Dirty-Paper Writing Based on LDPC Codes for Data Hiding

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