Adaptive steganographic scheme using a variable matrix embedding Online publication date: Fri, 22-Apr-2022
by Youssef Taouil; El Bachir Ameur; Amine Benhfid; Rachid Harba; Hassan Douzi
International Journal of Information and Computer Security (IJICS), Vol. 17, No. 3/4, 2022
Abstract: Steganography is the art of concealing secret information within digital media. In this paper, an adaptive steganographic scheme based on Faber-Schauder discrete wavelet transform (DWT) is proposed. Data is hidden in the details coefficients, which are divided into smooth and complex areas. In the smooth area, we hide one bit in every coefficient via a variable matrix embedding that hides 2n bits of data into 2n+1 coefficients while modifying at most n coefficients. In the complex area, data is hidden by substituting the least significant bits (LSBs) of the coefficients, and the optimal pixel adjustment procedure (OPAP) is utilised to minimise the modification. The performance is tested through experiments and comparison to literature. We obtain a good imperceptibility and embedding rate that respect the complexity of the cover image. We also reach a high level of security by using a correcting procedure that preserves the histogram in the smooth area.
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