An Efficient Robust Color Watermarking Algorithm Based on DWT, DCT, BFO and Implementation

Omer Mohammed Salih Hassan, A. Abdulazeez, Arman Ismael Mohammed, S. Salih, Sarbast Husien Alih, F. Y. Ahmed, D. Zeebaree
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引用次数: 2

Abstract

Digital watermarking is getting more research and industry attention. Digital multimedia data allows for robust and simple data editing and modification. However, the spread of digital media presents concerns for digital content owners. It is important to note that digital data can be copied without quality or content loss. This has a considerable impact on copyright holders' ability to safeguard their intellectual property rights. The method of transmitting information by imperceptibly embedding it into digital media is digital watermarking. There are various methods in literature, such as DWT and DCT, which take full energy, are seen and integrated. New strategies and procedures for optimization are required. The present study proposes a novel design and computation technique based on the discrete wavelet and discrete cosine transforms. Watermarking techniques have been progressing to shield media content such as text, audio, video, etc. From copyright. The proposed hybrid DWT-DCT Bacterial Foraging Optimization (BFO) technique improves the efficiency of watermarking digital images by 97%. Bacterial foraging optimization (BFO) is an innovative technique for intelligent optimization. It is a widely used optimization algorithm in a wide variety of applications. However, when compared to other optimizers, the BFO performs poorly in terms of convergence. This technique uses a high-frequency image region. A variety of techniques are compared with the (NCC) Normalized Cross Correlations, (PSNR) Peak Noise Signal Ratio and IF (Image Fidelity). The highest performance is seen in DWT-DCT-BFO watermarking.
基于DWT、DCT、BFO的高效鲁棒彩色水印算法及其实现
数字水印技术得到了越来越多的研究和业界的关注。数字多媒体数据允许强大和简单的数据编辑和修改。然而,数字媒体的传播给数字内容所有者带来了担忧。重要的是要注意,数字数据可以在不损失质量或内容的情况下复制。这对版权持有人保护其知识产权的能力有相当大的影响。数字水印是一种将信息不知不觉地嵌入到数字媒体中的传输方法。文献中有各种各样的方法,如DWT和DCT,它们消耗了大量的精力,被看到和整合。需要新的优化策略和程序。本研究提出了一种基于离散小波变换和离散余弦变换的新型设计和计算技术。水印技术在保护文本、音频、视频等媒体内容方面取得了长足的进步。从版权。提出的混合DWT-DCT细菌觅食优化(BFO)技术将数字图像的水印效率提高了97%。细菌觅食优化(BFO)是一种创新的智能优化技术。它是一种应用广泛的优化算法。然而,与其他优化器相比,BFO在收敛方面表现不佳。该技术使用高频图像区域。将各种技术与归一化相互关系(NCC)、峰值噪声信号比(PSNR)和图像保真度(IF)进行了比较。其中DWT-DCT-BFO水印性能最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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