Steganography using the Fourier Transform and Zero-Padding Aliasing Properties

Jin

Measurement Science Review

et al. 2016

This work presents a novel signal processing method for high-speed 3D body measurements using millimeter waves with a general processing unit (GPU) and zero-padding fast Fourier transform (ZPFFT). The proposed measurement system consists of a radio-frequency (RF) antenna array for a penetrable measurement, a high-speed analog-to-digital converter (ADC) for significant data acquisition, and a general processing unit for fast signal processing. The RF waves of the transmitter and the receiver are converted to real and imaginary signals that are sampled by a high-speed ADC and synchronized with the kinematic positions of the scanner. Because the distance between the surface and the antenna is related to the peak frequency of the conjugate signals, a fast Fourier transform (FFT) is applied to the signal processing after the sampling. The sampling time is finite owing to a short scanning time, and the physical resolution needs to be increased; further, zero-padding is applied to interpolate the spectra of the sampled signals to consider a 1/m floating point frequency. The GPU and parallel algorithm are applied to accelerate the speed of the ZPFFT because of the large number of additional mathematical operations of the ZPFFT. 3D body images are finally obtained by spectrograms that are the arrangement of the ZPFFT in a 3D space.

Section: Zero-paddingmentioning

confidence: 99%

3D Body Scanning Measurement System Associated with RF Imaging, Zero-padding and Parallel Processing

Jin

Measurement Science Review

et al. 2016

2015 Long Island Systems, Applications and Technology

“…teganography has attracted many researchers and has been studied extensively in literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Steganography is the art and science of writing hidden messages in such a way that no one, apart from the sender and intended recipient, suspects the existence of the message, a form of security through obscurity.…”

Section: Introductionmentioning

confidence: 99%

Highly secure image steganography algorithm using curvelet transform and DCT encryption

El-Sayed

Elleithy

Thunga

et al. 2015

This paper presents a highly secure data hiding system (a.k.a. Steganography) in a cover image using the low frequency Curvelet domain. The contribution of the suggested technique is its high security, because it is using four secret keys (encryption key, two shuffling keys, data hiding key) and using only the low frequency component of Curvelet domain. The use of low frequency component of Curvelet transform in steganography provides a number of advantages compared to other techniques such as: 1) Computation time reduction and, 2) Curvelet transform are designed to handle curves discontinuities using only a small number of coefficients, so hiding in the low frequency components will not affect edges coefficients, which produces better stego object quality.

“…[35] Nyquist rate is used in image processing by padding an image with zeroes before the DFT is taken. The DFT is taken on each color plane separately, so the focus will be on one arbitrary plane.…”

Section: Ii)mentioning

confidence: 99%

An Inductive Approach to the Knack of Steganology

Remya¹,

Sreekumar²

2013

IJCA

Steganology, the knack of unseen communication has a significant pose in the modern digital era. Steganography, the practice of concealing a message in any digital medium to the extent that it is not even revealed that a hidden communication is happening through. Steganalysis, the practice to listen the communication medium that results in detection of the presence of any hidden communication. This paper presents a brief overview in the field of Steganology, especially steganography. General TermsSecurity, Communication systems.