Dwt-SVD Based Secured Image Watermarking for Copyright Protection Using Visual Cryptography

Abstract

In this paper, a new robust watermarking technique for copyright protection based on Discrete Wavelet Transform and Singular Value Decomposition is proposed. The high frequency subband of the wavelet decomposed cover image is modified by modifying its singular values. A secret key is generated from the original watermark with the help of visual cryptography to claim the ownership of the image. The ownership of the image can be claimed by superimposing this secret key on the extracted watermark from the watermarked image. The robustness of the technique istested by applying different attacks and the visual quality of the extracted watermark after applying these attacks is good. Also, the visual quality of the watermarked image is undistinguishable from the original image.

An overview of steganography techniques applied to the protection of biometric data

“…16 Formula for calculating image blockiness Fig. 17 Graphical representation of the blockiness algorithm [13] to steganography and watermarking [60,107]. This paper discussed targeted and blind steganalysis strategies, used for breaking steganography techniques.…”

“…Many of these hybrid techniques make use of a mathematical decomposition called the Singular Value Decomposition. SVD is considered to be one of the most valuable numerical analysis tools available, mainly because singular values obtain inherent algebraic properties and provide stability that permits secret data to be hidden without degrading the perceptual quality of an image [60,107]. We next look at biometric systems & biometric security.…”