Image Security
Robust and imperceptible image watermarking using chaotic map-integrated quantum-inspired multi-objective cuckoo search optimization
This research presents a novel watermarking approach, CMQICS, integrating chaotic maps with quantum-inspired multi-objective cuckoo search optimization. It achieves exceptional imperceptibility (89 dB PSNR, 0.99 SSIM) and robustness against various attacks, outperforming existing methods. The multi-image embedding capability and randomness analysis validate its security and practical applicability for secure multimedia transmission.
Executive Impact: At a Glance
Key metrics showcasing the tangible benefits of this research for enterprise integration.
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Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
89 dB
Average PSNR (dB) achieved by CMQICS
Enterprise Process Flow
Start
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Input Cover Image
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Input Watermarking Image
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Extract Chaotic Components
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Extract YUV Components of Cover Image
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Optimal Embedding Strength
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Hybrid Embedding using DCT-2DWT
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Selection of Middle Band in Zig-Zag Order in Y/U/V Components
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Quantum Inspired Multiobjective CS Algorithm
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Watermarked Image
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Stop
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Securing Medical Imagery
The CMQICS model achieved the highest PSNR of 89.471 dB on the MRI dataset, and an SSIM of 0.999941, demonstrating its capability to accurately recover fine anatomical structures with minimal loss. This makes it ideal for medical imaging, ensuring data integrity and copyright protection.
Result: Reliable data authentication and tamper detection in sensitive medical records.
Advanced ROI Calculator
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Annual Cost Savings
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Your Implementation Roadmap
A structured approach to integrating CMQICS into your existing enterprise infrastructure.
Phase 1: Foundation & Integration
Initial setup, framework integration of chaotic maps and quantum-inspired optimization. Customization for specific enterprise image formats.
Phase 2: Performance Tuning & Validation
Optimization of embedding parameters for specific datasets, extensive robustness testing against diverse attack scenarios, and performance benchmarking.
Phase 3: Scalability & Deployment
Implementing batch processing, GPU acceleration, and integration with existing enterprise multimedia management systems. User training and documentation.
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