Research Article | OPEN ACCESS
Performance of Data Images Encryption Based Karhunen-Leoeve Transforms
1Hind Rustum Mohammed Shaban, 2Inaam R. Alsaiq and 1Alaa Abdul Hussein Mezher
1Computer Science Department
2Mathmatics Department, Faculty of Computer Science and Maths, Kufa University, Najaf, 54001, Iraq
Research Journal of Applied Sciences, Engineering and Technology 2017 3:95-100
Received: September 23, 2016 | Accepted: February 20, 2017 | Published: March 15, 2017
Abstract
The purpose of this study encryption method will apply on all parts image by the Karhunen-Loeve Transform (KLT). It will be discussed time complexity and storage complexity in method (database consists of 40 images). The Karhunen-Loeve Transform (KLT) is always used in image processing and it has a wide application area. It was called "the best transform" because the decorrelation, energy concentration and Mean Square Error (MSE) is very small. The first step is found The Characteristics of the (KLT) by convert image matrix to elements vector, the second step found the covariance matrix, then compute its Great ability of decorrelation. Finally, we will reconstruct the de-nosing matrix to the Image by KLT. The experimental results and security analysis confirm the effectiveness of the indicates the robustness and advantages of the algorithm.
Keywords:
Encryption algorithms, encryption data images, encryption decryption algorithm, karhunen-leoeve transforms, mathematics module,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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