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Hybrid DCT-DWT-SVD Watermarking: A Comparative Performance Analysis
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Author(s): Eirtty Kapoor (DTC, India), Annu Mahendru (HRIT University, India), Kavya Goswami (G.L. Bajaj Institute of Technology and Management, Greater Noida, India)and R. K. Yadav (Raj Kumar Goel Institute of Technology, Ghaziabad, India)
Copyright: 2026
Pages: 16
Source title:
Digital Watermarking in Cloud Environments For Copyright Protection
Source Author(s)/Editor(s): Ashwani Kumar (School of Computer Science Engineering & Technology, Bennett University, Greater Noida, UP India), Auzuir Ripardo de Alexandria (Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE), Brazil), Satya Prakash Yadav (Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India)and Antonino Galletta (University of Messina, Italy)
DOI: 10.4018/979-8-3373-3785-2.ch011
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Abstract
In this chapter, we present the performance of a composite watermarking algorithm that utilizes DCT, DWT, and SVD, building upon previously existing systems for robust digital image watermarking. The proposed DCT-DWT-SVD-based hybrid method uses the energy compaction, resolution in the multi-scale domain, and stability properties of SVD to enhance the imperceptibility and robustness of the embedded watermark. In this work, the watermark insertion process operates in two steps: first, by extracting the DWT of the cover image and then applying the DCT transform to the obtained sub-bands and modifying the singular values using SVD. Comprehensive experiments are conducted on various image corruptions, including noise, cropping, compression, and geometric transformations. We then employ PSNR, NC, and SSIM to quantify the trade-offs and performance of the compared models. Experimental results demonstrate that the hybrid DCT-DWT-SVD outperforms traditional single-transform methods and dual-transform methods in terms of robustness and perceptual quality.
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