Abstract
Digital image watermarking aims to protect the information in an image without significantly affecting visual quality. In this paper, a new image watermarking technique has been proposed that uses Gaussian filters and first-order partial differential matrix to extort the edge surface of a host image. This paper influence on the edge surface curvelet coefficients as human eyes are not equally sensitive to a smooth and an edged surface. To preserve the quality of the artwork and to increase the resistance against attacks, the author utilizes the edge surface area of an image, coarse levels of curvelet transform, and strength parameters. The selection of host coefficients are conforming to the human visual system (HVS) is the uniqueness of the research. The exploitation of the Gaussian filters and first-order partial differential coarse curvelet coefficients and the watermark strength parameter offers robustness against image processing attacks. The standard visual quality perception of HVS evaluation metrics are used to measure the superiority of the presented work.
Highlights
In this contemporary world of digital media and e-commerce, most businesses secure their online content with the use of algorithmic copyrights, product patents, and business logos
To authenticate the original work the quality of extracted watermark is important the above results show the comparison of extracted and embedded watermark using different metrics. It presents the quality of extracted watermark and the robustness of the watermark. This technique provides good robustness and imperceptible when the original image is enriched with a good texture surface
The work can be incorporated with a genetic algorithm and machine learning that may be applied for the faulty images discard process
Summary
In this contemporary world of digital media and e-commerce, most businesses secure their online content with the use of algorithmic copyrights, product patents, and business logos. In the same context there is a dire need for robust security procedures and to ensure reliable quality and availability. The proliferation of digitized image, video, and audio create the need for protection of copyright and enforcement of intellectual property right. The patent and copyright issues in the digital media are reported in the Digital Millennium Copyright Act (DMCA) [1]. Many methods are available for protecting digital media such as cryptography, steganography, digital signature, and digital watermarking [2]. Cryptography provides little protection against data piracy and confronts the reproduction of images [3]. Digital watermarking is a combination of two processes: Symmetry 2020, 12, 822; doi:10.3390/sym12050822 www.mdpi.com/journal/symmetry
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