Open AccessA Novel Secure Video Steganography Technique using Temporal Lifted Wavelet Transform and Human Vision Properties
Author(s) -
Ahmed Toman Thahab
Publication year - 2019
Publication title -
the international arab journal of information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.227
H-Index - 27
eISSN - 2309-4524
pISSN - 1683-3198
DOI - 10.34028/iajit/17/2/1
Subject(s) - computer science , steganography , artificial intelligence , peak signal to noise ratio , computer vision , embedding , wavelet transform , cover (algebra) , discrete wavelet transform , wavelet , ycbcr , pattern recognition (psychology) , color image , image (mathematics) , image processing , mechanical engineering , engineering
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.
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