Improving the performance of spatial watermarking of images using channel coding

Hernández, Juan Ramón Hernández; Rodriguez, J.M.; Pérez-González, Fernando

doi:10.1016/s0165-1684(00)00034-7

Cited by 25 publications

(10 citation statements)

References 7 publications

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“…We also show approximations to the BER for the three cases. In the uncoded case, we have used expression (10). For the BCH code, the approximation given by Equation (11) has been employed.…”

Section: Resultsmentioning

confidence: 99%

<title>Improving data hiding by using convolutional codes and soft-decision decoding</title>

Hernández¹,

Delaigle

Macq

2000

SPIE Proceedings

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This paper presents an other way of considering watermarking methods, which are analyzed from the point of view of the Information Theory. Watermarking is thus a communication problem in which some information bits have to be transmitted through an additive noise channel subjected to distortions and attacks. Designing watermarking methods in such a way that this channel is Gaussian can be profitable. This paper shows to what extent error protection techniques extensively studied for digital communication through Gaussian channels can be used advantageously for watermarking. Convolutional codes combined with soft-decision decoding are the best example. Especially, when soft-decision Viterbi decoding is employed, this kind of coding schemes can achieve much better performance than BCH codes, at comparable levels of complexity and redundancy, both for still and moving images.

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Section: Resultsmentioning

confidence: 99%

<title>Improving data hiding by using convolutional codes and soft-decision decoding</title>

Hernández¹,

Delaigle

Macq

2000

SPIE Proceedings

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“…However, several non-additive communications channel models are also important. One of the frequently used models is the fading channel model [6] which causes the variation of the transmitted signal's power during the transmission. Generally, this variation can be modeled as a scaling of the signal y = v(t)x where 0 < v(t) < 1 is an unknown parameter that vary slowly during the transmission or with each use of the channel.…”

Section: Models Of Communications Channelsmentioning

confidence: 99%

Survey on Different Level of Audio Watermarking Techniques

Sharma¹,

Rajpurohit²,

Dhankar³

2012

IJCA

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Audio Watermarking is useful technique for audio systems. This technique can work on different domains like frequency and time. By using the different scheme of watermarking at different levels of audio, it can be secure from many types of attacks. This paper shows some techniques which can be used to secure the audio system from attacks and survey on various transformation techniques for embedding or extracting watermark.

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“…Among the frequency image pixel's frequency representation are Discrete Cosine Transform (DCT) [11], Discrete Fourier Transform (DFT) [12] and Discrete Wavelet Transform (DWT) [13]. On the other hand, in the spatial domain techniques, the secret data bits are inserted directly into the images' pixels value decomposition.…”

Section: Introductionmentioning

confidence: 99%

Novel Steganography System using Lucas Sequence

Alharbi¹

2013

IJACSA

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Abstract-Steganography is the process of embedding data into a media form such as image, voice, and video. The major methods used for data hiding are the frequency domain and the spatial domain. In the frequency domain, the secret data bits are inserted into the coefficients of the image pixel's frequency representation such as Discrete Cosine Transform (DCT) , Discrete Fourier Transform (DFT) and Discrete Wavelet Transform (DWT) . On the other hand, in the spatial domain method, the secret data bits are inserted directly into the images' pixels value decomposition. The Lest Significant Bit (LSB) is consider as the most widely spatial domain method used for data hiding. LSB embeds the secret message's bits into the least significant bit plane ( Binary decomposition) of the image in a sequentially manner . The LSB is simple, but it poses some critical issues. The secret message is easily detected and attacked duo to the sequential embedding process. Moreover, embedding using a higher bit plane would degrade the image quality. In this paper, we are proposing a novel data hiding method based on Lucas number system. We use Lucas number system to decompose the images' pixels values to allow using higher bit plane for embedding without degrading the image's quality. The experimental results show that the proposed method achieves better Peak Signal to Noise Ratio (PSNR) than the LSB method for both gray scale and color images. Moreover, the security of the hidden data is enhanced by using Pseudo Random Number Generators (PRNG) for selecting the secret data bits to be embedded and the image's pixels used for embedding.

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Improving the performance of spatial watermarking of images using channel coding

Cited by 25 publications

References 7 publications

<title>Improving data hiding by using convolutional codes and soft-decision decoding</title>

<title>Improving data hiding by using convolutional codes and soft-decision decoding</title>

Survey on Different Level of Audio Watermarking Techniques

Novel Steganography System using Lucas Sequence

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