Work place: Department of Electronics & Telecomm. Engg, Lakhmichand Institute of Technology Bilaspur, India
E-mail: nikita2010k@gmail.com
Website:
Research Interests: Image Compression, Image Manipulation, Image Processing, Data Structures and Algorithms
Biography
Nikita Kashyap received her B.E. in Electronic & Telecommunication Engineering from Institute of Technology, Guru Ghasidas Central University, Bilaspur in 2010 and M.E. in Communication from Shri Shankaracharya Group of Institutions, Bhilai in 2012. She has published 3 research papers in journals. She is working as Assistant Professor in Lakhmi Chand Institute of Technology, Bilaspur, India. Her areas of interests are image processing, data hiding and image watermarking.
By Asma Ahmad G.R.Sinha Nikita Kashyap
DOI: https://doi.org/10.5815/ijcnis.2014.12.07, Pub. Date: 8 Nov. 2014
This paper introduces a robust image watermarking technique for the copyright protection. The proposed method is based on 3-level discrete wavelet transform (DWT). Encoded secret image using spiral scanning is hidden by alpha blending technique in LL sub bands. During embedding process, secret image is dispersed within LL band depending upon alpha value. Encoded secret images are extracted and decoded to recover the original secret image. The experimental results demonstrate that the watermarks generated with the proposed algorithm are invisible and the quality of watermarked image and the recovered image are improved. The scheme is found robust to various image processing attacks such as JPEG compression, Gaussian noise, blurring, median filtering and rotation.
[...] Read more.DOI: https://doi.org/10.5815/ijmecs.2012.03.07, Pub. Date: 8 Mar. 2012
We have implemented a robust image watermarking technique for the copyright protection based on 3-level discrete wavelet transform (DWT). In this technique a multi-bit watermark is embedded into the low frequency sub-band of a cover image by using alpha blending technique. The insertion and extraction of the watermark in the grayscale cover image is found to be simpler than other transform techniques. The proposed method is compared with the 1-level and 2-level DWT based image watermarking methods by using statistical parameters such as peak-signal-to-noise-ratio (PSNR) and mean square error (MSE). The experimental results demonstrate that the watermarks generated with the proposed algorithm are invisible and the quality of watermarked image and the recovered image are improved.
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