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A Fragile Image Watermarking Scheme in DWT Domain Using Chaotic Sequences and Error-Correcting Codes.
Andy M Ramos1, José A P Artiles1, Daniel P B Chaves1
1Department of Electronics and Systems, Federal University of Pernambuco, Recife 50740-550, Brazil.
This study introduces a novel fragile watermarking algorithm for secure image authentication and tamper detection. The method enhances security and robustness using error-correcting codes and chaotic sequences for reliable digital image forensics.
Area of Science:
- Digital Image Processing
- Information Security
- Cryptography
Background:
- Digital signal processing advancements facilitate easy image manipulation and tampering.
- Fragile watermarking is crucial for content authentication and detecting unauthorized modifications.
Purpose of the Study:
- To propose a new fragile watermarking algorithm for tamper detection and image recovery.
- To enhance the security and robustness of digital image watermarking techniques.
Main Methods:
- Watermarked bits are derived from parity bits of an error-correcting code, combining a secret-key-based binary chaotic sequence with original image bits.
- Watermarked bits are embedded in specific sub-bands of the Discrete Wavelet Transform (DWT) for authentication.
- The algorithm utilizes known chaotic bits during extraction, enhancing security and robustness.
Main Results:
- The proposed algorithm demonstrates effective imperceptibility, tamper detection, and image recovery capabilities against various common image attacks.
- Performance analysis covers both grayscale and colored images, showing significant improvements over existing methods.
- The technique offers enhanced security and robustness due to the incorporation of chaotic sequences and error-correcting codes.
Conclusions:
- The novel fragile watermarking algorithm provides a secure and robust solution for digital image content authentication and tamper-proofing.
- The method offers superior performance compared to existing techniques, making it suitable for digital image forensics applications.
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