Research Article
Reversible Image Processing using ‘Magical Triangle’
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 174 - Issue 15 |
| Published: Jan 2021 |
| Authors: Mariyan Richard A., Lakshmi Narayan B.N., Prasad N. Hamsavath |
10.5120/ijca2021921011
|
Mariyan Richard A., Lakshmi Narayan B.N., Prasad N. Hamsavath . Reversible Image Processing using ‘Magical Triangle’. International Journal of Computer Applications. 174, 15 (Jan 2021), 39-41. DOI=10.5120/ijca2021921011
@article{ 10.5120/ijca2021921011,
author = { Mariyan Richard A.,Lakshmi Narayan B.N.,Prasad N. Hamsavath },
title = { Reversible Image Processing using ‘Magical Triangle’ },
journal = { International Journal of Computer Applications },
year = { 2021 },
volume = { 174 },
number = { 15 },
pages = { 39-41 },
doi = { 10.5120/ijca2021921011 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2021
%A Mariyan Richard A.
%A Lakshmi Narayan B.N.
%A Prasad N. Hamsavath
%T Reversible Image Processing using ‘Magical Triangle’%T
%J International Journal of Computer Applications
%V 174
%N 15
%P 39-41
%R 10.5120/ijca2021921011
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The original images were converted in to a reversible matrix values by discovery, the values of the pixels using payload technique. The payload is to calculate the pixels values on reversible data hiding, we converting the image pixels into a value. Generating the matrix form is converting an image using matrix algorithm. Data Embedding is used to converting the values in to a matrix pixels, if we give an input value then it form the matrix by using that input value. Thus, Combination of two results the reversible matrix form.
References
- Xinpeng Zhang, “Reversible Data Hiding With Optimal Value Transfer”, “IEEE trans on multimedia, vol. 15, no. 2, Feb. 2013.
- XinboGao, Lingling An, Yuan Yuan, Dacheng Tao and Xuelong Li, “Lossless Data Embedding Using Generalized Statistical Quantity Histogram”, IEEE tranS on circuits and systems for video technology, vol. 21, no. 8, aug 2011.
- J. Tian, “Reversible data embedding using a difference expansion,” IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 8, pp. 890–896, Aug. 2003.
- A. M. Alattar, “Reversible watermark using the difference expansion of a generalized integer transform,” IEEE Trans. Image Process., vol. 13, no. 8, pp. 1147–1156, Aug. 2004.
- X. Wang, X. Li, B. Yang, and Z. Guo, “Efficient generalized integer transform for reversible watermarking,” IEEE Signal Process. Lett., vol. 17, no. 6, pp. 567–570, 2010.
- L. Kamstra and H. J. A. M. Heijmans, “Reversible data embedding into images using wavelet techniques and sorting,” IEEE Trans. Image Process., vol. 14, no. 12, pp. 2082–2090, Dec. 2005.
- Liu Hongmei,ZhangZhefen, Huang Jiwu, Huang Xialing,, Yun.Q. Shi, “A High Capacity Distortion-free Data Hiding Algorithm for Palette Image”, IEEE 0-7803-7761-31031f17.00 0 2003.
- H.-C. Wu, C.-C. Lee, C.-S. Tsai, Y.-P. Chu, and H.-R. Chen, “A high capacity reversible data hiding scheme with edge prediction and difference expansion,” J. Syst. Softw., vol. 82, pp. 1966–1973, 2009
- M. Fallahpour, D.Megias and M. Ghanbari, “High Capacity Reversible Data Hiding in Medicalimages”, IEEE 978-1-4244-5654-3/09/$26.00 ©2009
- J. Fridrich, M. Goljan, and R. Du, “Lossless data embedding for all image formats,” in Proc. Security and Watermarking of Multimedia Contents IV, Proc. SPIE, 2002, vol. 4675, pp. 572–583.
- D.M. Thodi and J. J. Rodríguez, “Expansion embedding techniques for reversible watermarking,” IEEE Trans. Image Process., vol. 16, no. 3, pp. 721–730, Mar. 2007.
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