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All Journal Login : Jurnal Teknologi Komputer Journal Majelis Paspama
Vicky Nainggolan
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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The Implememtation Of Hiding Information By Using Discrete Wavelet Transform (DWT) Simbolon, Devi Silvia; Kevin Enrique Keliat; Kristian Sigalingging; Vicky Nainggolan; Rifelson Sipayung
Login : Jurnal Teknologi Komputer Vol. 18 No. 02 (2024): Jurnal Teknologi Komputer, Edition December 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/login.v18i02.112

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.
The Implememtation Of Hiding Information By Using Discrete Wavelet Transform (DWT) Simbolon, Devi Silvia; Kevin Enrique Keliat; Kristian Sigalingging; Vicky Nainggolan; Rifelson Sipayung
Login : Jurnal Teknologi Komputer Vol. 18 No. 02 (2024): Jurnal Teknologi Komputer, Edition December 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/login.v18i02.112

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.
The Implememtation of Hiding Information by Using Discrete Wavelet Transform (DWT) Devi Silvia Simbolon; Kevin Enrique Keliat; Kristian Sigalingging; Vicky Nainggolan; Rifelson Sipayung
Journal Majelis Paspama Vol. 1 No. 02 (2023): Journal Majelis Paspama, July 2023
Publisher : Journal Majelis Paspama

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Co-Authors Devi Silvia Simbolon Kevin Enrique Keliat Kristian Sigalingging Rifelson Sipayung Simbolon, Devi Silvia