Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 6 SI
Page No. 9396 - 9404

Secure Image Steganography using Biorthogonal Wavelet Transform

Authors : Enas Muzaffer Jamel

Abstract: Hiding digital information is a spectacular scientific field. It is placed under security systems. This study, presents non-blind steganography system where biorthogonal wavelet transform is applied to decompose the gray level cover image into four sub-bands. The secret image is hidden in any one sub-band of high frequencies after applying the scrambling process. The scrambling process depends on changing positions of each row and column in the secret image. So that, will give intensive security for hiding system. Analyzing the results show that bior6.8 and rbio6.8 provide the best results and achieve good imperceptibility and robustness compared to other biorthogonal wavelet transforms. To evaluate the results, PSNR and correlation are adopted. Best results of PSNR are obtained from hiding in HH sub-bands. The correlation values are acceptable at all sub-bands. Another comparison is achieved between Haar wavelet transform and (bior6.8 and rbio6.8) which also shows the effectiveness of the biorthogonal wavelet transforms. The proposed method is robust against noise attacks.

How to cite this article:

Enas Muzaffer Jamel , 2019. Secure Image Steganography using Biorthogonal Wavelet Transform. Journal of Engineering and Applied Sciences, 14: 9396-9404.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved