Research Article
Blue Channel Replacement Technique for DCT-Compressed Image
|
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
|
| Volume 4 - Issue 10 |
| Published: December 2012 |
| Authors: Mukta Gupta, Prem Shanker Yadav, Anubhav Bewerwal |
10.5120/ijais12-450796
|
Mukta Gupta, Prem Shanker Yadav, Anubhav Bewerwal . Blue Channel Replacement Technique for DCT-Compressed Image. International Journal of Applied Information Systems. 4, 10 (December 2012), 20-23. DOI=10.5120/ijais12-450796
@article{ 10.5120/ijais12-450796,
author = { Mukta Gupta,Prem Shanker Yadav,Anubhav Bewerwal },
title = { Blue Channel Replacement Technique for DCT-Compressed Image },
journal = { International Journal of Applied Information Systems },
year = { 2012 },
volume = { 4 },
number = { 10 },
pages = { 20-23 },
doi = { 10.5120/ijais12-450796 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Mukta Gupta
%A Prem Shanker Yadav
%A Anubhav Bewerwal
%T Blue Channel Replacement Technique for DCT-Compressed Image%T
%J International Journal of Applied Information Systems
%V 4
%N 10
%P 20-23
%R 10.5120/ijais12-450796
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, a new methodology is used to preserve confidential information (for e. g. If we like to preserve an information which is in image form i. e. confidential image) which is a blue channel replacement technique, in order to hide maximum amount of data in an image without degrading its quality. In the proposed technique, the emphasis is placed on maximizing the embedding capacity and imperceptibility. Finally, the performance of the scheme is evaluated by using performance metrics such as Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE). Several experiments have been performed and have been compared and it has been observed that the RMSE is inversely proportional to PSNR from the results obtained with the already existing schemes.
References
- D. Salomon, "Data Compression, the Complete Reference", 2nd Edition Springer-Verlag1998.
- N. R. Thota and S. K. Devireddy, "Image Compression Using Discrete Cosine Transform", Georgian Electronic Scientific Journal: Computer Science and Telecommunications 2008|No. 3 (17).
- Sonal and D. Kumar, "A Study of Various Image Compression Techniques".
- "Reference guide: Graphics Technical Options and Decisions", http://www. devx. com/projectcool/Article/1997
- W. N. Lie and L. C. Chang. Data hiding in images with adaptive number of least significant bits based on the human visual system. Proc. ICIP '99, 1:286–290, 1999
- C. C. Chang, C. L. Chiang, and J. Y. Hsiao, "A DCT-domain System for Hiding Fractal Compressed Images", International Conference on Advanced Information Networking and Applications, 2005 IEEE.
- E. Hecht, Optics, 2nd Ed, Addison Wesley, 1987.
- F. A. P. Petitcolas, R. J. Anderson and M. G. Kuhn, "Information Hiding – A survey", Proceedings of the IEEE, 87:07, July 1999.
- C. C. Chang and C. S. Chan, "A Watermarking Scheme Based on Principal Component Analysis Technique", Informatica, vol. 14, no. 4, pp. 431-444, 2003.
- Chin-Chen Changand Wen-Chuan Wu," Reversible Quantization-Index Modulation Using Neighboring Correlation"
- W. N. Lie and L. C. Chang. Data hiding in images with adaptive number of least significant bits based on the human visual system. Proc. ICIP '99, 1:286–290, 1999
- J. L. Mannos and D. J. Sakrison. The effects of a visual fidelity criterion on the encoding of images. IEEE Trans. On Information Theory, pages 525–536, 1974.
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