TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved anti-noise attack ability of image encryption algorithm using de-noising technique
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved anti-noise attack ability of image encryption algorithm using de-noising technique
Improved anti-noise attack ability of image encryption algorithm using de-noising technique
Subject
DCT, DWT, Gaussian noise, Image encryption, Image processing, SVD
Description
Information security is considered as one of the important issues in the
information age used to preserve the secret information throughout transmissions in practical applications. With regard to image encryption, a lot of schemes related to information security were applied. Such approaches might be categorized into 2 domains; domain frequency and domain spatial. The presented work develops an encryption technique on the basis of conventional watermarking system with the use of singular value decomposition (SVD), discrete cosine transform (DCT), and discrete wavelet transform (DWT) together, the suggested DWT-DCT-SVD method has high robustness in comparison to the other conventional approaches and enhanced approach for having high robustness against Gaussian noise attacks with using denoising
approach according to DWT. Mean square error (MSE) in addition to the peak signal-to-noise ratio (PSNR) specified the performance measures which are the base of this study’s results, as they are showing that the algorithm utilized in this study has high robustness against Gaussian noise attacks.
information age used to preserve the secret information throughout transmissions in practical applications. With regard to image encryption, a lot of schemes related to information security were applied. Such approaches might be categorized into 2 domains; domain frequency and domain spatial. The presented work develops an encryption technique on the basis of conventional watermarking system with the use of singular value decomposition (SVD), discrete cosine transform (DCT), and discrete wavelet transform (DWT) together, the suggested DWT-DCT-SVD method has high robustness in comparison to the other conventional approaches and enhanced approach for having high robustness against Gaussian noise attacks with using denoising
approach according to DWT. Mean square error (MSE) in addition to the peak signal-to-noise ratio (PSNR) specified the performance measures which are the base of this study’s results, as they are showing that the algorithm utilized in this study has high robustness against Gaussian noise attacks.
Creator
Mohanad Najm Abdulwahed, Ali kamil Ahmed
Source
DOI: 10.12928/TELKOMNIKA.v18i6.16384
Publisher
Universitas Ahmad Dahlan
Date
October 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Mohanad Najm Abdulwahed, Ali kamil Ahmed, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved anti-noise attack ability of image encryption algorithm using de-noising technique,” Repository Horizon University Indonesia, accessed May 9, 2025, https://repository.horizon.ac.id/items/show/4208.
Improved anti-noise attack ability of image encryption algorithm using de-noising technique,” Repository Horizon University Indonesia, accessed May 9, 2025, https://repository.horizon.ac.id/items/show/4208.