11 January 2024 | De Li, Xianlong Dai, Jiang Gui, Jinyan Liu, Xun Jin
The paper proposes a reversible watermarking technology for image content authentication, specifically designed to address copyright infringement and privacy protection in fields like medical archive protection. The proposed algorithm uses wavelet transform to decompose images into blocks, each containing four pixels. Each block is transformed into the frequency domain, and the watermark information is embedded using chaotic mapping with different keys to enhance security and randomness. The algorithm includes two types of watermarks: authentication and feature watermarks. The authentication watermark is derived from the average of the higher bits of the pixel values, while the feature watermark captures correlation and pixel distribution features. The paper also discusses the detection and recovery of tampered areas, ensuring high-quality restoration of the original image information. Experimental results demonstrate the algorithm's effectiveness in detecting and locating tampered areas under various types of attacks, including constant mean tampering and paste tampering. The proposed method is compared with existing reversible watermarking techniques, highlighting its advantages in terms of lossless recovery and robustness against tampering.The paper proposes a reversible watermarking technology for image content authentication, specifically designed to address copyright infringement and privacy protection in fields like medical archive protection. The proposed algorithm uses wavelet transform to decompose images into blocks, each containing four pixels. Each block is transformed into the frequency domain, and the watermark information is embedded using chaotic mapping with different keys to enhance security and randomness. The algorithm includes two types of watermarks: authentication and feature watermarks. The authentication watermark is derived from the average of the higher bits of the pixel values, while the feature watermark captures correlation and pixel distribution features. The paper also discusses the detection and recovery of tampered areas, ensuring high-quality restoration of the original image information. Experimental results demonstrate the algorithm's effectiveness in detecting and locating tampered areas under various types of attacks, including constant mean tampering and paste tampering. The proposed method is compared with existing reversible watermarking techniques, highlighting its advantages in terms of lossless recovery and robustness against tampering.