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

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...

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Bibliographic Details
Main Authors: Hassan, Omer Mohammed Salih, Abdulazeez, Adnan Mohsin, Mohammed, Arman Ismael, Salih, Sardar Omer, Alih, Sarbast Husien, Ahmed, Falah Y H, Zeebaree, Diyar Qader
Format: Conference Proceeding
Language:English
Subjects:
Bacterial foraging optimization
Discrete cosine transform
Discrete wavelet transform
Discrete wavelet transforms
Image color analysis
Media
Microorganisms
Robustness
Systems engineering and theory
Watermarking
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Summary: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.
ISSN:2470-640X
DOI:10.1109/ICSET53708.2021.9612547