Enhanced Image Watermarking Technique using Wavelets and Interpolation

Автор: Sandeep Kaur, Himanshu Jindal

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 7 vol.9, 2017 года.

Бесплатный доступ

Image provides complete detailed information for thing or object. It is considered as an important aspect of analyzing the details of various objects or environments of real life applications. From analyzing or studying images, various techniques come into existence. These include zooming, watermarking, hazing, and compression. Each has its own advantages and disadvantages with respect to various implicit functions defined for the techniques. The research paper focuses on watermarking techniques. The techniques of watermarking have their advantages and outperforms better when combined with wavelets transformations (DWT) followed by interpolations. The wavelets and interpolations provide a good quality enhanced and zoomed watermarked images at the time of its encoding and decoding processes. The images are embedded with sample images considered as hidden information. After the extraction process image interpolation method is applied to the image to get a quality image. The process is suggested in order to view the changed pixels of images after encoding of two images. The combination of DWT watermarking and interpolation provides 52% better results when compared to existing techniques.

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Watermarking, LSB (Least Significant Bit), DCT (Discrete Cosine Transform), spatial, frequency, Blind, Non-Blind, DWT (Discrete Wavelet Transform)

Короткий адрес: https://sciup.org/15014202

IDR: 15014202

Список литературы Enhanced Image Watermarking Technique using Wavelets and Interpolation

  • Yunis and E. H. Abdurrahmal , ”Comparison Among Some Image Zooming Methods”, College of Basic Education Researchers Journal, Vol. 12, No. 3, pp. 761-774 2013.
  • Yadav and A. Yadav, “Comparison of SVD-Watermarking and LSB-Watermarking Techniques”, International Journal of Computer Science and Mobile Computing, Vol. 3, No. 5, 2014.
  • Ram,” Digital Image Watermarking Technique Using Discrete Wavelet Transform And Discrete Cosine Transform”, International Journal of Advancements in Research and Technology, Vol. 2, No. 4, pp. 19-27, 2013.
  • F. A. Jassim, “ Image Inpainting by Kriging Interpolation Technique”, World of Computer science and Technology Journal (WSCIT), Vol. 3, No. 5, 2013.
  • Woo, and S. D. Lee, “Digital Watermarking for Image Tamper Detection using Block-Wise Technique”, International Journal of Smart Home, Vol.7, Issue 5, pp.115-124, 2013.
  • J. Zhang, S. Ma, Zhang, and D. Zhao, “Fast and Effective Interpolation Using Median Filter”, Pacific-Rim Conference on Multimedia, pp. 1176–1186, 2009.
  • L. K. Saini and V. Shrivastava, “A Survey of Digital Watermarking Techniques and its Applications”, International Journal of Computer Science Trends and Technology (IJCST), Vol. 2, No. 3, pp. 70-73, 2014.
  • M. Jiansheng, L. Sukang, and T. Xiaomei, “A Digital Watermarking Algorithm based on DCT and DWT”, International Symposium on Web Information Systems and Applications Nanchang, China, 2009.
  • M. Pal and T. Chandra, “Zooming Digital Images using Interpolation Techniques”, International Journal of Application or Innovation in Engineering & Management (IJAIEM), Vol. 2, No. 4, 2013.
  • M. Tonge, P. K. Malviya, and A. Gupta, “Implementation of Digital Watermarking Algorithm based on DWT and DCT”, International Journal of Advanced Engineering and Global Technology, Vol. 2, Issue 1, 2014.
  • N. Chaturvedi and S. J. Basha, “Comparison of Digital Image Watermarking Methods DWT & DWT-DCT on the Basis of PSNR”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 1, No. 2, 2012.
  • R. Dubolia, R. Singh, S. S. Bhadoria and R. Gupta, “Digital Image Watermarking by using Discrete Wavelet Transform and Discrete Cosine Transform and Comparison based on PSNR”, Proceedings of International Conference on Communication Systems and Network Technologies, pp. 593-596, 2011.
  • R. Olivier and C. Hanqiang, “Nearest Neighbor Value Interpolation” , International Journal of Advanced Computer Science and Applications, Vol. 3 , No. 4, pp. 25-30, 2012.
  • R. V. Totla, and K. S. Bapat, ”Comparative Analysis of Watermarking in Digital Images using DCT and DWT”, International Journal of Scientific and Research Publications, Vol. 3, Issue 2, 2013.
  • S. Kaur, J. Kaur, I. Kaur, “Interpolating Images Toward Near Future: A Survey”, International Research Journal of Advanced Research in Computer Science and Software Engineering, Vol. 6, No. 5, pp. 527-530, 2016.
  • T. C. Lin, T. K. Truong, S. H. Hong, and L. Wang, “Novel Approaches to the Parametric Cubic-Spline Interpolation”, Image Processing and Computer Vision, Vol. 4, pp. 448-454, 2012.
  • W. Jiechao, L. Zhiwei, and Z. Min, “Two New Proposed Image Zooming Methods”, in International Conference on Wireless Communications Networking and Mobile Computing, pp 1-4, 2010.
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