Design and simulation a video steganography system by using FFT­turbo code methods for copyrights application

Hussein, Abbas Ali; Al-Thahab, Osama Qasim Jumah

doi:10.15587/1729-4061.2020.201010

Cited by 7 publications

(7 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper [12], the technique of steganography is used FFT to hide a two secret image into the Fourier magnitude of the cover image that is by replacing the high-frequency with the data of the hidden images. In paper [6], apply FFT on video frames to convert the cover to frequency domain, then hide the encrypt logo image in cover frames by using least two significant bit technique. The result shows, this method does not have any effected on the quality of original video after inserting logo image in it.…”

Section: Related Workmentioning

confidence: 99%

“…The FFT is considered to be as one of the straightest and most efficient methods for converting to and from the frequency domain [6].…”

Section: Discrete Fourier Transform (Dft)mentioning

confidence: 99%

“…The C1 and C2 are two constant which is used to avoid zero value in the denominator. The calculations of these contestants are performed by equation (6) and 7, respectively. ( ) (6) ( )…”

Section: Verification Measurements (A) Evaluation Metrics Of the Covementioning

confidence: 99%

“…So it can be used in many different operations such as data compression, spread spectrum and watermarking. In the field of digital signal processing, transforms are widely used in analyzing and processing discrete data and commonly used computational mathematics [6]. The Image is two-dimensional quantities, the Fourier transform of an image is represented as two-dimensional.…”

Section: Introductionmentioning

confidence: 99%

“…magnitude and phase are a representation of a polar coordinate transformation in which each sine/sine pair of corresponding magnitude and phase is specified [7]. FFT is considered to be as one of the straightest and most efficient methods for converting to and from the frequency domain [6].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Hiding Multi Short Audio Signals in Color Image by using Fast Fourier Transform

Jamel

2021

ANJS

View full text Add to dashboard Cite

Many purposes require communicating audio files between the users using different applications of social media. The security level of these applications is limited; at the same time many audio files are secured and must be accessed by authorized persons only, while, most present works attempt to hide single audio file in certain cover media. In this paper, a new approach of hiding three audio signals with unequal sizes in single color digital image has been proposed using the frequencies transform of this image. In the proposed approach, the Fast Fourier Transform was adopted where each audio signal is embedded in specific region with high frequencies in the frequency spectrum of the cover image to save much more details of the cover image and avoid any doubts that there is any secret information are hidden inside it. The quality of the stego-image and the extracted audio files are evaluated with the standard evaluation metric. The simulation results shown significant results of these metrics and achieve good imperceptibility and high security of the stego-image. The SNR and SPCC values are considered acceptance that means significant in terms quality and similarity of the reconstructed signal.

show abstract

Section: Related Workmentioning

confidence: 99%

“…The FFT is considered to be as one of the straightest and most efficient methods for converting to and from the frequency domain [6].…”

Section: Discrete Fourier Transform (Dft)mentioning

confidence: 99%

“…The C1 and C2 are two constant which is used to avoid zero value in the denominator. The calculations of these contestants are performed by equation (6) and 7, respectively. ( ) (6) ( )…”

Section: Verification Measurements (A) Evaluation Metrics Of the Covementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations