Multiple Data Abstraction in a Single Plane Using Different Transformation Techniques
Ishani Bishnu1, Jyoti Vimal2, Neha Kumari3, Pooja Singh4
1Ishani Bishnu, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
2Jyoti Vimal, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
3Neha Kumari,,Information Technology, Bengal College of Engineering andTechnology, Durgapur, India.
4Pooja Singh, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
Manuscript received on August 03, 2013. | Revised Manuscript received on August 29, 2013. | Manuscript published on September 05, 2013. | PP: 174-176 | Volume-3, Issue-4, September 2013. | Retrieval Number: D1816093413/2013©BEIESP
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© The Authors. Published By: 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: In this paper we suggest embedding and extraction algorithms through which we can abstract multiple data in a single color plane by using different transformation techniques such as wavelet transformation, cosine transformation and single value decomposition.
Keywords: Wavelet Transformation, Cosine Transformation, Singular Value Decomposition.