Performance of Data Images Encryption Based Karhunen-Leoeve Transforms

Hind Rustum Mohammed Shaban ； Inaam R. Alsaiq ； Alaa Abdul Hussein Mezher

《Research Journal of Applied Sciences, Engineering and Technology》 14卷3期 (2017/03) Pp. 95-100

https://doi.org/10.19026/rjaset.14.4151

摘要

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.

關鍵字

Encryption algorithms ； encryption data images ； encryption decryption algorithm ； karhunen-leoeve transforms ； mathematics module