The Implememtation Of Hiding Information By Using Discrete Wavelet Transform (DWT)

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Published Dec 18, 2024
https://doi.org/10.58471/login.v18i02.112
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Vol. 18 No. 02 (2024): Jurnal Teknologi Komputer, Edition December 2024

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Devi Silvia Simbolon
Fakultas Ilmu Komputer Universitas Katolik Santo Thomas
Kevin Enrique Keliat
Fakultas Ilmu Komputer Universitas Katolik Santo Thomas
Kristian Sigalingging
Fakultas Ilmu Komputer Universitas Katolik Santo Thomas
Vicky Nainggolan
Fakultas Ilmu Komputer Universitas Katolik Santo Thomas
Rifelson Sipayung
Fakultas Ilmu Komputer Universitas Katolik Santo Thomas

Abstract

Steganography using Discrete Wavelet Transform (DWT) is a technique for embedding information into an image without significantly altering its visual quality. This study aims to analyze the effectiveness of DWT in securing hidden messages within digital images. DWT decomposes image signals into approximation and detail coefficients, allowing data embedding in the high-frequency components while preserving the most essential image features. The research methodology involves converting secret messages into numerical form, applying DWT to the image, embedding data into the detail coefficients, and reconstructing the image using inverse DWT. The results show that this approach enables secure and imperceptible data hiding while maintaining image quality. Additionally, DWT provides advantages in signal analysis, data compression, and noise resistance, making it a robust technique for steganography. The study concludes that DWT is an effective method for secure data embedding with minimal distortion, offering potential applications in digital watermarking and confidential communication.

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How to Cite
Simbolon, D. S., Kevin Enrique Keliat, Kristian Sigalingging, Vicky Nainggolan, & Rifelson Sipayung. (2024). The Implememtation Of Hiding Information By Using Discrete Wavelet Transform (DWT) . Login : Jurnal Teknologi Komputer, 18(02), 102-106. https://doi.org/10.58471/login.v18i02.112

References

Al-Haj, A. (2007). Combined DWT-DCT digital image watermarking. Journal of computer science, 3(9), 740-746.
Al-Haj, A., Mohammad, A. A., & Bata, L. (2011). DWT-based audio watermarking. Int. Arab J. Inf. Technol., 8(3), 326-333.
Kaur, H., & Kaur, J. (2014). Image Steganography Using Discrete Wavelet Transform and Fuzzy-BP Network. International Journal of Computer Applications, 92(9), 1–5.
Po-Yueh, P. Y., & Lin, H. J. (2006). A DWT based approach for image steganography. International Journal of Applied Science and Engineering, 4(3), 275-290.
Singh, R., & Singh, J. (2020). A comparative analysis of spatial and transform domain steganography techniques. Multimedia Tools and Applications, 79, 14461–14493.
Zhang, T., Wang, D., & Liu, Y. (2016). An Improved DWT-Based Image Steganography Method. Multimedia Systems and Signal Processing, 53(4), 341–356.
Shaik, A., & Thanikaiselvan, V. (2021). Comparative analysis of integer wavelet transforms in reversible data hiding using threshold based histogram modification. Journal of King Saud University-Computer and Information Sciences, 33(7), 878-889.
Veselska, O., Lavrynenko, O., Odarchenko, R., Zaliskyi, M., Bakhtiiarov, D., Karpinski, M., & Rajba, S. (2022). A wavelet-based steganographic method for text hiding in an audio signal. Sensors, 22(15), 5832.