Robust Digital Image Watermarking using Artificial Bee Colony Optimization with Dual-Tree Complex Wavelet Transform based SVD Approach

Robust Digital Image Watermarking using Artificial Bee Colony Optimization with Dual-Tree Complex Wavelet Transform based SVD Approach

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© 2023 by IJETT Journal
Volume-71 Issue-7
Year of Publication : 2023
Author : R. Parthiban, S. Manikandan
DOI : 10.14445/22315381/IJETT-V71I7P227

How to Cite?

R. Parthiban, S. Manikandan, "Robust Digital Image Watermarking using Artificial Bee Colony Optimization with Dual-Tree Complex Wavelet Transform based SVD Approach," International Journal of Engineering Trends and Technology, vol. 71, no. 7, pp. 279-289, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I7P227

Abstract
Digital Image Watermarking (DIW) can be defined as the process of inserting a watermark or digital sign into digital images to protect them from unlawful use and for copyright protection. This method transforms the original image into watermarked images that have unique and watermarking imageries. The watermark must be robust to image processing attacks like cropping, compression, and resizing while protecting the visual qualities of a watermarked image. The core objective of DIW is to grant a secure and potential manner of ownership protection and authenticity of digitalized images in the modern era. This study develops a new Artificial Bee Colony Optimization with Dual-Tree Complex Wavelet Transform based SVD (ABC-DTCWT-SVD) approach for DIW. The primary objective of the ABC-DTCWT-SVD technique is to develop an image watermarking system to satisfy the requirements of imperceptibility and robustness. In the ABC-DTCWT-SVD technique, the watermarking is embedded in the DWT subband’s singular value. The watermarking will not be embedded straightaway on the wavelet coefficient but rather on the components of singular values of the cover imageries’ DWT subband. In addition, the ABC algorithm is used for the parameter tuning of the SVD approach and thereby maximizes the Peak Signal-to-Noise Ratio (PSNR) values. The experimental analysis of the ABC-DTCWT-SVD approach stated its promising performance over other techniques.

Keywords
Digital image watermarking, Embedding process, Artificial bee colony, Wavelet transform, Security.

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