JOURNAL ARTICLE

Improvement of Image Steganography Using Discrete Wavelet Transform

Manal Kadhim OudahAqeela N. AbedRula S. KhudhairSaad M. Kaleefah

Year: 2020 Journal:   Engineering and Technology Journal Vol: 38 (1)Pages: 83-87   Publisher: University of Technology, Iraq

Abstract

Recently the Discrete-Wavelet-Transform (DWT) has been represented as signal processing powerful tool to separate the signal into its band frequency components. In this paper, improvement of the steganography techniques by hiding the required message into the suitable frequency band is presented. The results show that the increase of the message length will reduce the Peak Signal to Noise Ratio (PSNR), while the PSNR increases with the increasing the DWT levels. It should be noted that the PSNR reduction was from -13.8278 to -17.77208 when increasing the message length from 161 to 505 characters. In this context, the PSNR is increased from -13.8278 to 7.0554 and from -17.7208 to 1.7901 when the DWT increased from level (1) to level (2).

Keywords:
Discrete wavelet transform Peak signal-to-noise ratio Computer science Steganography Second-generation wavelet transform SIGNAL (programming language) Wavelet Artificial intelligence Wavelet transform Wavelet packet decomposition Context (archaeology) Stationary wavelet transform Algorithm Computer vision Image (mathematics) Mathematics Pattern recognition (psychology) Geography

Metrics

11
Cited By
0.94
FWCI (Field Weighted Citation Impact)
6
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology

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