Hybrid Quantum Representation and Hilbert Scrambling for Robust Image Watermarking

Authors

  • Christy Atika Sari Universitas Dian Nuswantoro Author
  • Abdussalam Abdussalam Universitas Dian Nuswantoro Author
  • Eko Hari Rachmawanto Universitas Dian Nuswantoro Author https://orcid.org/0000-0001-6014-1903
  • Hussain Md Mehedul Islam The Mathworks, Inc. Author

DOI:

https://doi.org/10.15294/sji.v11i4.10140

Keywords:

Hilbert scrambling, Image watermarking, Quantum hilbert scrambling, Performance measurement

Abstract

Purpose: This work aims to apply Quantum Hilbert Scrambling to enhance the security and integrity of image watermarking without affecting visual quality degradation. Further conception of the surveyed methods could result in a very good solution to conventional methods of watermarking in solving some problems of digital image security and integrity with new concepts of quantum computing.

Methods: The paper reviews Quantum Hilbert Scrambling, whose computational complexity is . The process involves encoding the image into a quantum state, permuting qubits by the Hilbert curve, and embedding a watermark using quantum gates.

Result: The quantitative performance evaluation metrics, like Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM), have shown high Peak Signal to Noise Ratio (PSNR) values from 56.13 dB to 57.87 dB and Structural Similarity Index (SSIM) from 0.9985 to 0.9990, correspondingly. This justifies the fact that the quality degradation is very slight and the fine details of the structure are well maintained.

Novelty: The proposed method uniquely integrates quantum computing with traditional watermarking steps for a secure and effective approach in digital watermarking. Further development should focus on improving the quantum circuit regarding computation efficiency, extending the applicability of the method to a wide range of images, and various situations in watermarking, and finding hybrid approaches by combining quantum and classical approaches towards better performance and scalability.

Author Biographies

  • Abdussalam Abdussalam, Universitas Dian Nuswantoro

    https://scholar.google.com/citations?hl=en&user=XBDQ51AAAAAJ&view_op=list_works&sortby=pubdate

  • Eko Hari Rachmawanto, Universitas Dian Nuswantoro

    Scopus Author ID: 57193850466

    https://scholar.google.com/citations?hl=en&user=RG2Im6cAAAAJ

  • Hussain Md Mehedul Islam, The Mathworks, Inc.

    GitHub: github.com/mehadi007

    LinkedIn: linkedin.com/in/hussainislam

Downloads

Article ID

10140

Published

29-11-2024

Issue

Section

Articles

How to Cite

Hybrid Quantum Representation and Hilbert Scrambling for Robust Image Watermarking. (2024). Scientific Journal of Informatics, 11(4), 873-880. https://doi.org/10.15294/sji.v11i4.10140