A wavelet domain LSB insertion algorithm for high capacity audio steganography

Cvejic, Nedeljko; Seppänen, Tapio

doi:10.1109/dspws.2002.1231075

Cited by 61 publications

(35 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Results of the proposed method are compared to the Least Significant Bit (LSB) [3], Frequency Masking (FM) [6], Efficient Wavelet Masking (EWM) [2] and shown in table 1 and table 2. The obtained numbers are given as percent of difference between the host signal and the stego signal for above parameters.…”

Section: Resultsmentioning

confidence: 99%

“…Some steganography methods use the wavelet domain for hiding message bits due to its advantages such as of high hiding rate of sending up to 200 kbps [2]. Cvejic et al increase the steganography capacity in the frequency 44.1 kHz [3]. Delforouzi and Pooyan development of sound steganography transparency in the wavelet domain using a suitable hearing threshold [4], while Shahreza et al proposed to avoid embedding in silence areas [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Speech Steganography In Wavelet Domain Using Continuous Genetic Algorithm

Moghaddasi¹,

Fakhredanesh²

2014

J. Math. Computer Sci.

View full text Add to dashboard Cite

In this paper, we present a new adaptive steganography method using Lifting Wavelet Transform (LWT). In this method, we first calculate the LWT of the sample of host and secret speech signal. Then wavelet coefficients of secret speech signal will be fitted effectively and efficiently in host signal wavelet coefficients using continuous genetic algorithm. We used indirect replacement technique in 5 bits host using a proposed formula. Due to the quantization error, there are some differences between the secret signal before steganography and the extracted signal after steganography. However, these differences have an appropriate Gaussian noise model. We compress these differences using Huffman lossless compression method. The compression rate of such differences approach to the entropy, which is derived from Shannon's first theorem. Huffman lossless compression method, cause to small noise. We these compressed differences sent along the stego signal. The experimental results show that the proposed model has a statistical transparency higher than Least Significant Bit (LSB), Frequency Masking (FM) and Efficient Wavelet Masking (EWM) algorithms in time domain and frequency domain.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Speech Steganography In Wavelet Domain Using Continuous Genetic Algorithm

Moghaddasi¹,

Fakhredanesh²

2014

J. Math. Computer Sci.

View full text Add to dashboard Cite

show abstract

“…In recent years various techniques for steganography in digital audio with varying purposes have been developed [1][2][3][4][5][6][7][8][9]. These methods use characteristics (weakness) of the human auditory system (HAS).…”

Section: Introductionmentioning

confidence: 99%

Adaptive Digital Audio Steganography Based on Integer Wavelet Transform

Delforouzi

Pooyan

2008

Circuits Syst Signal Process

View full text Add to dashboard Cite

In this paper a novel method for digital audio steganography is presented where encrypted covert data is embedded into the coefficients of the host audio (cover signal) in the integer wavelet domain. The hearing threshold is calculated in the integer domain and this threshold is employed as the embedding threshold. The inverse integer wavelet transform is applied to the modified coefficients to form a new audio sequence (stego signal). The characteristics of this method are large payload, high audio quality and full recovery.

show abstract

“…Wavelet domain [10] is suitable for frequency analysis because of its multi-resolution properties that provides access to both most significant parts and details of spectrum. Wavelet domain techniques works with wavelet coefficients.…”

Section: Wavelet Domainmentioning

confidence: 99%