Hiding Images as a Single Image Using Arithmetic Operations
B. Rahul1, S.S. Dhenakaran2
1B. Rahul, M. phil Research Scholar , Department of Computer Science, Alagappa University, Karaikudi, Tamil Nadu, India.
2S.S. Dhenakaran, Professor, is working in the Dept. of Computer Science, Alagappa University, and Tamil Nadu State, India
Manuscript received on 07 September 2019. | Revised Manuscript received on 12 September 2019. | Manuscript published on 30 September 2019. | PP: 208-211 | Volume-8 Issue-11, September 2019. | Retrieval Number: K12830981119/2019©BEIESP | DOI: 10.35940/ijitee.K1283.0981119
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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: This paper proposes a new mechanism for hiding images by blending two or more color images together. The resultant image formed from the blending process does not show the input images. The proposed mechanism makes it difficult to identify images taken for blending process. The work is attempted to mix two or more color images together for new hiding mechanism. The proposed mechanism first considered two color images and then following the processes such as resizing images, segmentation, rotation of pixel bits to make images more complex, and then hides the input images by combines these complex images by performing arithmetic operations on pixels. Math activities performed on pixels unmistakably combine the images to hide input images. The reverse procedure obviously concentrates input images with no bit loss or quality in the images. The work can be stretched out to blend more images to keep privacy in image information, diminishing spaces for dumping images.
Keywords: Color Images, Image Hiding, Arithmetic Operations, Segmentation, and Bit Rotation
Scope of the Article: Image Processing and Pattern Recognition