Removable Watermarking Research Articles

A Robust and Removable Watermarking Scheme Using Singular Value Decomposition

Digital watermarking techniques are widely applied to protect the integrity and copyright of digital content. In a majority of the literature for watermarking techniques, the watermarked image often causes some distortions after embedding a watermark. For image-quality-concerned users, the distortions froma watermarked image are unacceptable. In this article, we propose a removable watermarking scheme that can restore an original-like image and resist signal-processing attacks to protect the ownership of an image by utilizing the property of singular value decomposition (SVD). The experimental results reveal that the proposed scheme meets the requirements of watermarking robustness, and also reestablishes an image like the original with average PSNR values of 59.07 ㏈ for reconstructed images.

Copyright Protecting Using The Secure Visible Removable Watermarking In JPEG Compression

In this paper, a visible and removable watermarking scheme in JPEG compression is presented. In the scheme, a secure template is generated to modulate the embedding strength of watermark and host image, separately. The template generates different versions of watermarked images which can be seen visually the same, and the visible watermark can only be removed by the user using the correct key. Additionally, the watermark embedding process is applied in the JPEG compression domain which makes the proposed scheme more applicable. Experiment results show that our visible and removable watermarking algorithm achieves some good performances, such as, robust against the removable attack, good visual quality and affect a little on JPEG compression.

A Novel Security Mechanism for Image Authentication and Copyright Protection

Encryption and watermarking are two primary and complementary technologies for protecting multimedia content. In this paper, we present a hybrid image protection scheme to establish a robust content-based authentication by using novel cryptosystem based on matrix transformation for generation of encryption key and copyright protection by using SVD based watermarking system. This paper suggests efficient method for encryption of image by self-invertible matrix with Hill Cipher algorithm. The Hill cipher algorithm is a symmetric cryptosystem for data encryption but cannot encrypt images. The novel cryptosystem uses randomly generated self-invertible matrix as an encryption key for each block encryption of an image and finding inverse of the matrix while decryption. This method having less computational complexity, because the inverse of the matrix is not required for decryption. For watermarking, we use SVD concept to provide a removable watermarking scheme for content based watermarking. The proposed scheme modifies the embedding strategy of SVD scheme. The proposed scheme yields higher security with superior encryption and robust to common image processing distortions. Experimental results show the effectiveness of the proposed hybrid scheme.

Perceptible watermarking: a promising application

This paper proposes an unusual method for perceptible watermarking algorithm based on the commercial requirements. An audio file is hosted in the website for commercial purpose with a removable watermarking on a portion of it. The objective of this watermark is contrary to that of conventional watermarking. The watermark degrades the quality of the audio file such that it becomes annoyingly perceptible to human auditory system. Chaos theory is used to generate millions of audibly similar but numerically different versions of the watermarked signal. On the removal of this perceptible watermark, a new imperceptible watermark is inserted in the audio as per the conventional requirements. This perceptible method of watermarking is termed as ink marking, and it provides a novel method for digital right management control. The subjective quality tests and robustness tests indicate that the audio quality is excellent. The algorithm is also robust to signal processing attacks.