Work place: Department of Electronics & Communication University of Allahabad, Allahabad -211002, India
E-mail: siddharthjnp@gmail.com
Website:
Research Interests: Computer Architecture and Organization, Image Compression, Image Manipulation, Image Processing, Data Structures and Algorithms
Biography
Dr. Siddharth Singh received his Ph.D degree from University of Allahabad, Allahabad (India) in 2015. He is currently Assistant Professor with the Department of Electronics and Communication at NIT Delhi. His current research interests cover Steganography, Digital Image and Signal Processing. He has published a number of quality papers in International Journals and Conferences and authored one book chapter.
By Siddharth Singh Tanveer J. Siddiqui
DOI: https://doi.org/10.5815/ijcnis.2016.04.02, Pub. Date: 8 Apr. 2016
This paper presents a new technique for copyright protection of images using integer wavelet transform (IWT), singular value decomposition (SVD) and Arnold transform. We divide the cover image into four sub-images by picking alternate pixels from consecutive rows and columns and embed the copyright mark into the sub-image having the largest sum of singular values. The embedding is done by modifying singular values of the IWT coefficients of the selected sub-image. The use of Arnold transform and SVD increases security and robustness against geometric and several signals processing attacks, while IWT provides computational efficiency. We compare the performance of our technique with state-of-the-art-methods. The experimental results show that the proposed technique is more imperceptible and achieves higher security and robustness against various signal processing (filtering, compression, noise addition, histogram equalization and motion blur) and geometrical (cropping, resizing, rotation) attacks.
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