Color Image Watermarking Algorithm Based On Redundant Wavelet Transform

Digital watermarking technology is regarded as the effective method to protect digital multimedia copyright and to ensure data security. It is one of the main parts of information hiding. Usually, a watermarking algorithm contains three parts: the design of watermark, the process of embedding and detection watermark. Based-wavelet color image watermarking is discussed in detail in this paper. An amended digital image scrambling method is proposed. Two color image watermarking algorithms are implemented. The two algorithms regard color image as carrier, and carry out significant image as watermark. The essential contents can be listed as follows:1. Introduce the need background of the digital watermarking, application field and the present condition of the domestic and international research, make a summary of the concept, characteristic, classification of watermarking.2. Discuss and evaluate the representative watermarking algorithms. Implement three algorithms based on LSB, DCT and DWT domain.3. The image scrambling theory is analyzed. Actually, scrambling is encrypting image. We pre-process the watermark by means of scrambling method, then embed encrypted image into carrier image. Image scrambling can improve the robustness of watermarking algorithms. Finally, an amended image scrambling method is proposed, and it is used by two nether color image watermarking algorithms.4. A novel semi blind color image watermarking algorithm based on DWT is devised. The algorithm uses foregoing scrambling method to encrypt significant binary watermark, extracting watermark without original image. The algorithm is simple and timesaving. Experimental results demonstrate that the algorithm is transparent and robust. It shows high robustness for the normal image processing methods such as cutting down, JPEG compression and filtering.5. A color image watermarking algorithm based on redundant wavelet transform (RDWT) is presented. The primary virtues of RDWT are redundancy and shift invariance. Robustness and capacity of algorithm can be enhanced by RDWT virtues. The main properties of SVD are as follows: the singular values of an image have very...