Maximize the Security for Image Processing Using an Improved Watermarking Approach

Manoj Kumar Tyagi, Cuddapah Anitha, R. Ramyadevi, Sunita Pachar, Ravi Kumar Tata, Preetam Suman, Fardin Ahmadi and Savita Gupta

Mathematical Problems in Engineering, 2023, vol. 2023, 1-11

Abstract: Creating a dependable and effective digital image watermarking (WM) method necessitates balancing imperceptibility, resilience, capacity, and security. Several studies have combined spatial and transform domains to meet these needs. We investigated the current state of hybrid digital image WM. When developing a hybrid WM strategy, it is critical to consider software compatibility. Following a brief review of the literature, we used a table to analyse and evaluate current hybrid approaches. Furthermore, the limitations and possibilities of these approaches are discussed. We investigated the limitations of current research methodologies and proposed new research directions. The internet’s role in distributing digital material has resulted in more digitalisation and more complex copyright concerns. Copyright breaches are being reduced through the deployment of innovative digital WM techniques. As a result of this research, a WM system capable of dealing with a wide range of threats is being developed. The goal of this study is to maximise security while maintaining visibility and resilience. Discrete wavelets transform (DWT) and singular value decomposition (SVD) were used to investigate covert operations; DWT was used to isolate each level of the host image, which was then processed using SVD. At the time, normalized correlation was the best method for measuring watermarked images. In research, DWT–SVD was more accurate in detecting assaults; it shows structural similarity index and normalized correlation are 98.4 and 98.35, respectively. Watermarked images can withstand a variety of assaults due to their invisibility and resilience; this system repels assaults that alter pixel values better than traditional methods.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:5060564

DOI: 10.1155/2023/5060564

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