This paper is published in Volume 3, Issue 2, 2018
Area
Digital Image Watermarking
Author
Sultana Bano
Co-authors
Anugrah Srivastava
Org/Univ
Rama University, Kanpur, Uttar Pradesh, India
Pub. Date
06 February, 2018
Paper ID
V3I2-1146
Publisher
Keywords
Blind Watermarking, Steganography, Digital Watermarks, Authentication, Copyright Material, Cryptographic Techniques, Lifting Wavelet Transform (LWT)

Citationsacebook

IEEE
Sultana Bano, Anugrah Srivastava. Analysis of LWT-SVD Domain Based Digital Image Watermarking Technique, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.

APA
Sultana Bano, Anugrah Srivastava (2018). Analysis of LWT-SVD Domain Based Digital Image Watermarking Technique. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARnD.com.

MLA
Sultana Bano, Anugrah Srivastava. "Analysis of LWT-SVD Domain Based Digital Image Watermarking Technique." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2018). www.IJARnD.com.

Abstract

In This paper presents blind digital image watermarking technique to achieve copyright protection. In order to protect copyright material from illegal duplication, various technologies have been developed, like key-based cryptographic technique, digital watermarking etc. In digital watermarking, a signature or copyright message is secretly embedded in the image by using an algorithm. In This paper, implement that algorithm of digital watermarking by combining both LWT and SVD techniques. Initially, we decompose the original (cover) image into using LWT, and then apply the SVD on each band by modifying their singular values. After subjecting the watermarked image to various attacks like blurring, adding noise, pixilation, rotation, rescaling, contrast adjustment, gamma correction, histogram equalization, cropping, sharpening, lossless compression etc, we extract the originally inserted watermark image from all the bands and compare them on the basis of their MSE and PSNR values. In experimental results if we perform modification in all frequencies, then it will make our watermarked image more resistant to a wide range of image-processing attacks (including common geometric attacks).
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