Open Access   Article Go Back

A Review on Texture Feature Analysis Based Watermarking Scheme for Image Processing

Pardeep Kaur1 , Shalini 2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-8 , Page no. 50-56, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i8.5056

Online published on Aug 31, 2018

Copyright © Pardeep Kaur, Shalini . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Pardeep Kaur, Shalini, “A Review on Texture Feature Analysis Based Watermarking Scheme for Image Processing,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.50-56, 2018.

MLA Style Citation: Pardeep Kaur, Shalini "A Review on Texture Feature Analysis Based Watermarking Scheme for Image Processing." International Journal of Computer Sciences and Engineering 6.8 (2018): 50-56.

APA Style Citation: Pardeep Kaur, Shalini, (2018). A Review on Texture Feature Analysis Based Watermarking Scheme for Image Processing. International Journal of Computer Sciences and Engineering, 6(8), 50-56.

BibTex Style Citation:
@article{Kaur_2018,
author = {Pardeep Kaur, Shalini},
title = {A Review on Texture Feature Analysis Based Watermarking Scheme for Image Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {50-56},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2653},
doi = {https://doi.org/10.26438/ijcse/v6i8.5056}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.5056}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2653
TI - A Review on Texture Feature Analysis Based Watermarking Scheme for Image Processing
T2 - International Journal of Computer Sciences and Engineering
AU - Pardeep Kaur, Shalini
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 50-56
IS - 8
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
591 479 downloads 262 downloads
  
  
           

Abstract

The digital watermarking is the technique which is used to provide security to sensitive data which is stored in the form of image. The watermarking is the process in which features of the original and sensitive image is calculated and in the second step, the original image is embedded into the watermark image. In this research paper, the neural network based watermarking technique is improved using GLCM and PCA algorithm. The GLCM and PCA algorithm extracts the features of the original image. The output of PCA algorithm defines the scaling factor which is used for the embedding. The proposed algorithm is implemented in MATLAB and simulation results demonstrated that proposed algorithm performs well in terms of PSRN and MSE.

Key-Words / Index Term

GLCM, PCA, SVD, DWT

References

[1] Ms.Dipa Dixit and Ms. M. Kiruthika, "Preprocessing of Web Logs," International Journal on Computer Science and Engineering,vol. 02, 2010.
[2] D. S. Rajput*, R.S. Thakur, G. S. Thakur Clustering approach based on Efficient Coverage with Minimum Weight for Document Data ," International Journal on Computer Science and Engineering
[3] Martin, Alberto, and Sabri Tosunoglu. "Picture preparing systems for machine vision." Miami, Florida (2000).
[4] Chaturvedi, Navnidhi, and S. J. Basha. "Examination of Digital Image watermarking Methods DWT and DWT-DCT on the Basis of PSNR." picture 2 (2012): 1.
[5] Al-Haj, Ali. "Joined DWT-DCT computerized picture watermarking." Journal of software engineering 3, no. 9 (2007): 740.
[6] Singh, Surya Pratap, Paresh Rawat, and Sudhir Agrawal. "A vigorous watermarking approach utilizing DCT-DWT." International Journal of Emerging Technology and Advanced Engineering (ISSN 2250-2459, Volume 2, Issue 8 (2012).
[7] Mansouri, An., A. Mahmoudi Aznaveh, and F. Torkamani Azar. "SVD-based computerized picture watermarking utilizing complex wavelet change." Sadhana 34, no. 3 (2009): 393-406.
[8] Anthony T.S.Ho et.al, "A Robust Digital Image-in-Image Watermarking Algorithm Using the Fast Hadamard Transform", Springer, 2011
[9] Alexander Sverdlov, "Secure DCT-SVD Domain Image Watermarking: Embedding Data in All Frequencies", Proceedings of IEEE Region 10 Technical Conference on Convergent Technologies for the Asia-Pacific, Bangalore, India, October 14-17, 2003
[10] T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber, and T. Poggio, "Protest acknowledgment with cortex-like instruments," IEEE Trans. on PAMI vol. 29, no. 3, 2007.
[11] J.- K. Kamarainen, V. Kyrki, and H. K ¨ alvi¨ ainen, "Invariance properties of Gabor channel based highlights - outline and applications," IEEE Trans. on Image Processing, vol. 15, no. 5, pp. 1088– 1099, 2006.