Optimized Image Watermarking Based On HD And SVD In IWT Domain

In today's digital age, protecting the ownership of multimedia content has become a crucial issue. The widespread use of the internet and the ease of copying and distributing digital media have made it increasingly challenging to prevent unauthorized use and distribution. To address this problem, watermarking has emerged as an effective solution. Image watermarking refers to the process of embedding a unique identifier into an image in a way that it is imperceptible to the human eye but can be extracted to prove ownership. In this research, we propose an optimized image watermarking method based on Hessenberg Decomposition (HD) and Singular Value Decomposition (SVD) in the Integer Wavelet Transform (IWT) domain. The proposed method utilizes the HD feature of the image to enhance the robustness of the watermark against attacks, while the SVD technique is used to achieve high invisibility and security. The IWT domain is employed to make the watermarking process more efficient, leading to a faster and more reliable watermarking algorithm. To evaluate the effectiveness of the proposed method, we conducted several experiments using standard image datasets. The results show that the proposed method outperforms existing state-of-the-art watermarking methods in terms of robustness and invisibility. Additionally, the proposed method is resistant to various image processing attacks. In conclusion, the proposed optimized image watermarking method based on HD and SVD in the IWT domain offers a highly effective solution for protecting the ownership of multimedia content. The use of HD and SVD techniques in the IWT domain ensures high robustness, invisibility, and security of the watermark, while the computational efficiency of the method makes it practical for real-world applications

Secure and Robust Image Watermarking Scheme Using Homomorphic Transform, SVD and Arnold Transform in RDWT Domain

The main objective for a watermarking technique is to attain imperceptibility, robustness and security against various malicious attacks applied by illicit users. To fulfil these basic requirements for a scheme is a big issue of concern. So, in this paper, a new image watermarking method is proposed which utilizes properties of homomorphic transform, Redundant Discrete Wavelet Transform (RDWT), Arnold Transform (AT) along with Singular Value Decomposition (SVD) to attain these required properties. RDWT is performed on host image to achieve LL subband. This LL subband image is further decomposed into illumination and reflectance components by homomorphic transform. In order to strengthen security of proposed scheme, AT is used to scramble watermark. This scrambled watermark is embedded with Singular Values (SVs) of reflectance component which are obtained by applying SVD to it. Since reflectance component contains important features of image, therefore, embedding of watermark in this part provides excellent imperceptibility. Proposed scheme is comprehensively examined against different attacks like scaling, shearing etc. for its robustness. Comparative study with other prevailing algorithms clearly reveals superiority of proposed scheme in terms of robustness and imperceptibility

A Blind Multiple Watermarks based on Human Visual Characteristics

Digital watermarking is an alternative solution to prevent unauthorized duplication, distribution and breach of ownership right. This paper proposes a watermarking scheme for multiple watermarks embedding. The embedding of multiple watermarks use a block-based scheme based on human visual characteristics. A threshold is used to determine the watermark values by modifying first column of the orthogonal U matrix obtained from Singular Value Decomposition (SVD). The tradeoff between normalize cross-correlation and imperceptibility of watermarked image from quantization steps was used to achieve an optimal threshold value. The results show that our proposed multiple watermarks scheme exhibit robustness against signal processing attacks. The proposed scheme demonstrates that the watermark recovery from chrominance blue was resistant against different types of attacks