The two watermarks are embedded in different subbands and are orthogonal for different purposes. It embeds two different watermarks in the wavelet/multiwavelet domain. This technology makes use of the error correction ability of the human visual system. A new blind logo image watermarking technology for RGB images is proposed. Digital image watermarking is used to protect the copyright of digital images. Reference proposed a robust logo watermarking algorithm based on the maximum wavelet transform. Finally, the inverse discrete cosine transform is used to extract secret information without losing any information. In the extraction stage, the sparse domain orthogonal matching pursuit algorithm is used to extract secret information from important sparse coefficients. These DCT coefficients with some regularization parameters will be inserted into the selected important sparse coefficients. In order to improve the security of the original image, the secret information is first transformed by a discrete cosine transform. Reference proposed a sparse domain lossless digital image watermarking algorithm based on k-singular value decomposition algorithm and introduced a robust lossless sparse domain watermarking algorithm combined with discrete cosine transform (DCT), which hides secret information into important sparse elements of the host image. Some scholars put forward relevant research. Through digital media, we can spread and obtain network information such as audio and video, which has greatly enriched people's lives and improved the transmission efficiency of information. Īt present, mankind has entered the digital information age. Digital image watermarking algorithm is a process of hiding secret information into the host image to prevent the repeatability of original data and maintain authenticity, subtitle, and copyright control. Digital image refers to the display image in two-dimensional digital form, which always takes digital unit as pixel representation structure, which can better describe the mathematical relationship between real image and virtual image.
Among digital image watermarking techniques, digital image watermarking considering scrambling and singular value decomposition is the core one. It is regarded as the last line of defense of information security and has attracted extensive attention from all walks of life. Digital image watermarking technology came into being in this environment. This leads to the problems of digital information security and digital product copyright protection. However, with the development of digital technology and networking, fast, accurate, and cheap digital transmission means bring opportunities to countless businesses but also pose new challenges, including infringement, piracy, and arbitrary tampering with digital products (such as electronic publications, audio, video, animation, and image products). With the rapid development of network technology and digital multimedia technology, digital photos, paintings, voice, text, video, and other products have been very common. The experimental results show that the algorithm can extract the watermark information completely, the image contrast and singular value have been significantly improved, and the algorithm has better anti-attack performance. Finally, according to the uniqueness of singular value matrix, the distributed characteristics of image matrix data are described, the visual effect is enhanced, and the research of digital image watermarking algorithm is completed. The transmittance of the degraded image is calculated, the transmittance is refined by relying on the soft matting algorithm and guiding filter, the image contrast in the image frequency domain is enhanced, and the results are mapped to the appropriate visual range to optimize the visual brightness of the image. The watermark image extraction step is designed to extract the watermark image. The digital watermark image is embedded in the digital image watermark by using the low-frequency energy ratio technology of sound channel. The digital watermark is preprocessed by dimensionality reduction and encryption the digital image is processed in sections and embedded in the synchronization signal. Therefore, a digital image watermarking algorithm based on scrambling and singular value decomposition is proposed. At present, the digital image watermarking algorithm has not embedded the synchronization signal in the image, resulting in the poor performance of the embedded image in terms of, for example, imperceptibility, anti-attack ability, and robustness.
0 kommentar(er)
