Sanjay Sharma

Work place: ECE Department, Thapar University, Patiala-147001, Punjab, India

E-mail: sanjay.sharma@thapar.edu

Website:

Research Interests: Interaction Design, Database Management System, Digital Library, Algorithm Design

Biography

Dr. Sanjay Sharma is currently working as Professor and Head of the department in Electronics and Communication Engineering of Thapar University, India. He has done his B. Tech in ECE from REC in 1993, Jalandhar, M. E. in ECE from TTTI, Chandigarh in 2001 and Ph.D. from PTU, Jalandhar in 2006. He has completed all his education with honors. He has published many papers in various journals and conferences of international repute. He has to his credit the implementation of research projects worth 12000 USD. His main interests are VLSI Signal Processing, Wireless System Design using Reconfigurable Hardware, Digital communication, Channel Coding etc.

Author Articles
A Secure and Semi-Blind Technique of Embedding Color Watermark in RGB Image Using Curvelet Domain

By Ranjeeta Sanjay Sharma L. R. Raheja

DOI: https://doi.org/10.5815/ijitcs.2017.03.07, Pub. Date: 8 Mar. 2017

A semi-blind and secure watermarking technique for the color image using curvelet domain has been proposed. To make the algorithm secure a Bijection mapping function has been used. The watermark also separated into color planes and each color plane into a bit planes. The most significant bit (MSB) planes of each color used as the embedding information and remaining bit planes are used as a key at the time of extraction. The MSB planes of each color of watermark image embedded into the curvelet coefficients of the blue color plane of the processed cover image. For embedding the MSB bit planes of watermark image in the cover image each curvelet coefficient of blue planes of the processed cover image has been compared with the value of its 8 connected coefficients (neighbors). The results of the watermarking scheme have been analyzed by different quality assessment metric such as PSNR, Correlation Coefficient (CC) and Mean Structure Similarity Index Measure (MSSIM). The experimental results show that the proposed technique gives the good invisibility of watermark, the quality of extracting watermark and robustness against different attacks.

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