A Novel Secure Video Steganography
Technique using Temporal Lifted
Wavelet Transform and Human Vision
Properties
Ahmed
Thahab
Department of Electrical and
Electronic Engineering, University of Babylon, Iraq
Abstract: Steganography is a term that refers to the process
of concealing secret data inside a cover media which can be audio, image and
video. A new video steganography scheme in the wavelet domain is presented in
this paper. Since the convolutional discrete wavelet transform produces float
numbers, a lifted wavelet transform is used to conceal data. The method embeds
secret data in the detail coefficients of each temporal array of the cover video
at spatial localization using a unique embedding via YCbCr
color space and complementing the secret data to minimize error in the stego
video before embedding. Three secret keys are used in the scheme. Method’s
performance matrices such as peak signal to noise ratio and Normalized Cross
Correlation (NCC) expresses good imperceptibility for
the stego-video. The value of Peak Signal to Noise Ratio (PSNR) is in
range of 34-40dB, and high embedding capacity.
Keywords: Data hiding, integer wavelets
transform, color space, peak signal to noise ratio, first complement.
Received January 8, 2017; accepted April 30, 2018
https://doi.org/10.34028/iajit/17/2/1