Highly Secured Method for Image Encryption Based Mathematical Model and Bit Plane
Inaam.R.Al-Saiq1, Hind Rustum Mohammed2, Rewayda Abo-Alsabeh3

Inaam.R.Al-Saiq, Department of Mathematical Sciences, University of Kufa, Iraq.
Hind Rustum Mohammed, Department of Computer Sciences, University of Kufa, Iraq.
Rewayda Abo-Alsabeh, Department of Mathematical Sciences, University of Kufa, Iraq.

Manuscript received on 15 August 2019. | Revised Manuscript received on 25 August 2019. | Manuscript published on 30 September 2019. | PP: 1472-1478 | Volume-8 Issue-3 September 2019 | Retrieval Number: B3798078219/19©BEIESP | DOI: 10.35940/ijrte.B3798.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The important area of network communication research is the protection of clandestine image data from prohibited access. Therefore, we develop a highly guaranteed model for image encoding as we use a new mathematical model. This helps anyone to encrypt and decrypt gray image more securely and skillfully. Image encryption technique plays a vital role in image processing. Lot of image encryption technique has been developed so far. The technique such as segment the image into four parts, exchange first part of matrix instead of fourth part ,as well as exchange second part instead of third part, after that we exchange the main diagonal of fist part with fourth part ,as well as, the main diagonal of second part exchange with third part. After that, we will use mathematical function to hide the image. The decrypted gray image has two distinct steps. First, using invertible mathematical model to obtain gray image with noise. Second, using Bit Plane in order elicit the actual image back.
Keywords: Elementary Functions; Segmentation; Image Encryption; Bit-Plane Decomposition.

Scope of the Article:
Signal and Image Processing