Adaptive Digital Audio Steganography Based on Integer Wavelet Transform

Delforouzi, Ahmad; Pooyan, Mohammad

doi:10.1007/s00034-008-9019-x

Cited by 49 publications

(19 citation statements)

References 9 publications

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“…Random model: This model encrypts the characters in a random sequence manner.There occurs another model embedded in this method called statistical model [11] that analysis statistical properties that includes mean, variance that measures the quantity of replicated messages that should be hidden in the text.…”

Section: Figure : 3 Text Steganographymentioning

confidence: 99%

Steganographical Techniques in Hiding Text Images – System

Vinoth¹,

Kanniga²

2019

IJRTE

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In this era, internet has become a widespread entity all over the world. Sharing and communicating images, video contributes an essential role in this scientific era. In the meanwhile, secure transition of data has indeed become a major issue. Steganography is one of technology that contributes a vital role in protecting the secret data against an unauthorized access. In this type, secret data can be concealed into a cover file that includes audio, video, text and also image. In this paper, we propose different types of steganography methods for secure transfer of data in a confidential manner. The paper also explores stenographical techniques in terms of text, image and audio. The proposed work compares and discusses the stenographical methods in spatial domain, frequency domain derived under the image technique

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Section: Figure : 3 Text Steganographymentioning

confidence: 99%

Steganographical Techniques in Hiding Text Images – System

Vinoth¹,

Kanniga²

2019

IJRTE

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“…A domain with a good energy compaction or high gain of transform coding (GTC), like the wavelet domain, would result in a high perceptual transparency (little or no noticeable NB signal degradation) and signal to noise ratio (SNR) [32]. Since the wavelet domain is well recognised by its high perceptual transparency [24,[32][33][34][35], it is employed in this work for transmitting the spreaded spectral envelope parameters of UB signal through the IWCs of NB speech signal.…”

Section: Wavelet Transformmentioning

confidence: 99%

Bandwidth extension of narrowband speech using integer wavelet transform

Nizampatnam

Tappeta

2017

IET signal process.

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Public telephone systems transmit speech across a limited frequency range, about 300-3400 Hz, called narrowband (NB) which results in a significant reduction of quality and intelligibility of speech. This study proposes a fully backward compatible novel method for bandwidth extension (BWE) of NB speech. The method uses integer wavelet transform technique to provide a perceptually better wideband (WB) speech signal. The spectral envelope parameters are extracted from the down sampled frequency shifted version of the high-frequency components of speech signal existing above NB, which are spread by using pseudo-noise codes, and are embedded in the integer wavelet coefficients of NB speech signal. The hearing threshold is calculated in the integer wavelet domain and this threshold is employed as the embedding threshold. The embedded information is extracted at the receiving end to reconstruct the WB speech signal. Theoretical and simulation analyses show that the proposed method is robust to quantisation and channel noises. The comparison category rating listening and log spectral distortion tests clearly show that the reconstructed WB signal gives a much better performance in terms of speech quality when compared with some of the existing speech BWE methods employing data hiding.

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“…Information with signal was embedded in the LSBs of wavelet coefficients of audio signals. In order to improve the security of embedded data, [17,18] applied a hearing threshold during information steganography in integer wavelet coefficients, while in the [19] to avoid the hiding in the silent parts of the audio signal is expressed. Furthermore, an algorithm was carried out to increase the capacity and security of a method based on discrete wavelet packet transform with adaptive embedding in the least significant bits.…”

Section: The Domain Of Discrete Wavelet Transformmentioning

confidence: 99%

Audio Steganography to Protect the Confidential Information: A Survey

Zinaly¹,

Naghipour²

2017

IJCA

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Steganography is a science to hide information, it hides a message to another object, and it increases the security of data transmission and archiving it. In the process of steganography, the hidden object in which data is hidden the carrier object and the new object, is called the steganography object. The multiple carriers, such as text, audio, video, image and so can be mentioned for steganography; however, audio has been significantly considered due to the multiplicity of uses in various fields such as the internet. For steganography process, several methods have been developed; including work in the temporary and transformation, each of has its own advantages and disadvantages, and special function. In this paper we mainly review and evaluate different types of audio steganography techniques, advantages and disadvantages.

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Adaptive Digital Audio Steganography Based on Integer Wavelet Transform

Cited by 49 publications

References 9 publications

Steganographical Techniques in Hiding Text Images – System

Steganographical Techniques in Hiding Text Images – System

Bandwidth extension of narrowband speech using integer wavelet transform

Audio Steganography to Protect the Confidential Information: A Survey

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