数字水印
计算机科学
水印
稳健性(进化)
嵌入
认证(法律)
粒子群优化
人工智能
数据挖掘
图像(数学)
计算机安全
机器学习
生物化学
化学
基因
作者
Divyanshu Awasthi,Anurag Tiwari,Priyank Khare,Vinay Kumar Srivastava
标识
DOI:10.1016/j.eswa.2023.122830
摘要
Due to exponential growth of digital world the online data is also drastically increasing. This multimedia data may contain text, video, audio, and images. After the Covid-19 pandemic era, the volume of digital images is also increasing drastically. There is a need to secure these images during the transmission. One of the best methods to protect this vital information is watermarking. Image watermarking is a technique in which a watermark is embed into the cover to secure the copyright and verify the identity. During the watermarking process, there are some characteristics like robustness, imperceptibility, capacity, security, and authentication must be balance. To make a balance among these properties, optimization techniques play a vital role. During the watermark embedding there is a scaling factor which must be optimized to get optimum value. This scaling factor balances the properties of the watermarking scheme. Different optimization techniques such as particle swarm, brain-storm, lightning search etc. can be used to get optimal scaling factor. Based on the literature review presented several research gaps are formulated in this article which clearly signifies for the necessity of the metaheuristic approaches. Open research challenges related to optimization techniques are elaborated for the researchers that can be explored in future.
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