Blind Medical Image Watermarking Method Using Combined NSCT/2D-DCT Domains

This paper presents a novel blind watermarking framework that combines Non-Subsampled Contourlet Transform (NSCT) and 2D Discrete Cosine Transform (DCT) domains. The proposed method embeds the watermark’s data within low-frequency coefficients of sub-vectors extracted from a concatenated NSCT/2D-DCT transforms processing. The embedding procedure involves simple differential processing which ensures a straightforward watermark extraction. Extensive testing across medical imaging modalities (X-ray, CT, MRI, ultrasound) confirmed strong imperceptibility and robustness against attacks like JPEG compression, noise, filtering, and geometric manipulations. Compared to contemporary techniques, our NSCT/2D-DCT method shows stronger robustness against attacks without compromising diagnostic quality, proving its viability for medical image authentication in clinical settings.

Authors

Publication Details

Journal
Iraqi Journal for Computer Science and Mathematics
Published
2025-11-29
DOI
https://doi.org/10.52866/2788-7421.1327
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
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article

Blind Medical Image Watermarking Method Using Combined NSCT/2D-DCT Domains

Mohamed Lebcir, Abdelhalim Rabehi, Abdelmalek Kouadri, Ali Benziane
Iraqi Journal for Computer Science and Mathematics
Advanced Steganography and Watermarking Techniques
article

Blind Medical Image Watermarking Method Using Combined NSCT/2D-DCT Domains

Mohamed Lebcir, Abdelhalim Rabehi, Abdelmalek Kouadri, Ali Benziane
article en

Abstract

This paper presents a novel blind watermarking framework that combines Non-Subsampled Contourlet Transform (NSCT) and 2D Discrete Cosine Transform (DCT) domains. The proposed method embeds the watermark’s data within low-frequency coefficients of sub-vectors extracted from a concatenated NSCT/2D-DCT transforms processing. The embedding procedure involves simple differential processing which ensures a straightforward watermark extraction. Extensive testing across medical imaging modalities (X-ray, CT, MRI, ultrasound) confirmed strong imperceptibility and robustness against attacks like JPEG compression, noise, filtering, and geometric manipulations. Compared to contemporary techniques, our NSCT/2D-DCT method shows stronger robustness against attacks without compromising diagnostic quality, proving its viability for medical image authentication in clinical settings.

Iraqi Journal for Computer Science and MathematicsVol. 6(4)
Openalex Percentile: Top 61%
Advanced Steganography and Watermarking Techniques
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