11 results about "Quantization index modulation" patented technology

The invention discloses a robust steganography method and device for privacy image protection, and belongs to the technical field of information security. The method comprises the following steps: scaling a cover image to obtain a carrier image capable of bearing privacy image information; performing frequency domain transformation on the carrier image, and constructing a frequency domain embedding domain; bit plane splitting processing is carried out on the privacy image to be protected to obtain a privacy bit plane; and designing a nested quantization index modulation algorithm, and embedding the privacy bit plane into the frequency domain embedding domain to generate a secret-containing image. According to the method, complete lossless reconstruction of the privacy image can be realized in a lossless environment, and the privacy image with identifiable semantic information can be reconstructed in a lossy environment, so that the original appearance of a sensitive image is effectively prevented from being leaked in the propagation, storage and processing processes, and the security of the privacy image is improved.

The application discloses a privacy image protection-oriented robust steganography method and device, and belongs to the technical field of information security. The method comprises the following steps: scaling a cover image to obtain a carrier image capable of carrying private image information; performing frequency domain transformation on the carrier image to construct a frequency domain embedding domain; performing bit plane splitting processing on a private image to be protected to obtain private bit planes; designing a nested quantization index modulation algorithm to embed the private bit planes into the frequency domain embedding domain to generate a stego image. The method can not only realize complete lossless reconstruction of the private image in a lossless environment, but also reconstruct the private image with recognizable semantic information in a lossy environment, thereby effectively preventing sensitive images from leaking the original appearance in the process of transmission, storage and processing, and improving the security of the private image.

The invention discloses a color image blind watermarking method based on two-dimensional quantization index modulation, and the method comprises the steps: firstly carrying out the discrete Fourier transform of image blocks, and converting a pixel matrix into a frequency domain coefficient matrix; then, energy distribution is further optimized through Laplacian transformation, so that energy is obviously gathered in a left diagonal region and a right diagonal region of the matrix, and two maximum energy coefficients are obtained; on the basis, a two-dimensional quantization index modulation technology is innovatively utilized, and the robustness of a watermark algorithm is enhanced by optimizing a quantization strategy. The method not only has better invisibility, but also has better robustness, solves the problems of poor robustness and low invisibility of a color image digital watermarking algorithm, and is suitable for occasions of digital media copyright protection with strong robustness and high invisibility.

The invention discloses an image watermarking method based on Hessenberg decomposition and three-dimensional quantization index modulation. According to the method, matrix decomposition is carried out on an image block through Hessenberg decomposition, first three coefficients with absolute values arranged in a descending order are selected from a Hessenberg matrix of the image block to carry out three-dimensional joint quantization index modulation so as to improve the robustness of the watermarking method, the quantization step size is adaptively adjusted by utilizing RGB channel correlation so as to keep the invisibility of a watermark, a four-dimensional Chen's chaos encryption system is introduced, and the robustness of the watermarking method is improved. And the key space is expanded to 2434. The method solves the problems of weak robustness, low invisibility and poor security of a color image digital watermarking algorithm, and is suitable for occasions of digital media copyright protection with strong robustness, high invisibility and high security.

This invention discloses a data integrity verification and tamper location method for autonomous vehicles, comprising the following steps: S1: Watermark embedding: Obtaining raw LiDAR point cloud data from a LiDAR sensor, and embedding a preset binary watermark sequence into the raw LiDAR point cloud data based on a three-dimensional quantization index modulation method to generate watermarked LiDAR point cloud data; S2: Data transmission: Transmitting the watermarked LiDAR point cloud data to an advanced driver assistance system in the vehicle network; S3: Parallel processing; S4: Tampering determination and location: Based on the comparison results of the integrity verification process, determining whether the LiDAR point cloud data has been tampered with. If it is determined to have been tampered with, the tampered LiDAR point cloud data area is located based on the data point positions where the watermark information does not match. This invention can accurately locate tampering, controllable distortion, avoid decryption delays in encryption methods, meet the real-time requirements of autonomous driving, has broad application prospects, and is conducive to widespread application.

The invention discloses a deep learning model copyright authentication method based on lattice quantization index modulation, and the method comprises the steps: embedding the identity information of a model owner into a frequency domain coefficient of a trigger set sample based on the reversibility characteristic of the lattice quantization index modulation; the correct extraction of the identity information of the owner of the model is ensured while the trigger set sample has the characteristic of visual indistinguishability. The method comprises the following steps: generating a trigger set based on lattice quantization index modulation; then, generating a watermark model by using a data set and trigger set joint training model, and calculating a trigger set prediction probability threshold value of the watermark model; and finally, inputting a trigger set to the suspicious model to calculate a prediction accuracy rate, comparing the prediction accuracy rate with a probability threshold value, and modulating and extracting identity information of a model owner in the trigger set through lattice quantization index to complete copyright authentication of the suspicious model. The problems that in an existing black box model watermarking technology, the visual undistinguishability of a trigger set sample is low, and binding between the identity of a model owner and a model watermark is weak are effectively solved.

Along with wide propagation of digital media, the copyright protection problem is increasingly prominent. In order to effectively protect the copyright of a digital image, the invention discloses a color image blind watermarking method based on double-axis collaborative quantization index modulation. The method comprises the following steps: firstly, performing high-energy aggregation on image blocks through a reversible matrix fusion domain formula; on the basis, high-energy coefficients of left and right side areas of an image block are synchronously modulated through a double-axis cooperation mechanism, and double-axis cooperation quantization index modulation is realized through a linkage structure, so that embedding and blind extraction of the watermark are completed. And meanwhile, the watermark is preprocessed by adopting a chaotic encryption technology before embedding, so that the security and robustness of the watermark are further enhanced. According to the method, while the invisibility of the watermark is ensured, the capability of resisting common attacks is remarkably improved, the calculation process is simplified, and the method is suitable for carrying out rapid and safe copyright protection on the color image.

In order to solve the limitation of a traditional transform domain watermarking technology in the aspect of resisting traditional attacks and geometric attacks, the invention discloses a robust watermarking scheme based on discrete Hankel Transform (DHT), the robust watermarking scheme is remarkably different from a one-dimensional quantization index modulation method susceptible to noise interference, four-dimensional feature vectors of DHT coefficients are projected to a four-dimensional feature space, and the four-dimensional quantization index modulation method based on the DHT is obtained. The inherent stability and error correction capability of the high-dimensional quantization lattice are utilized, so that the resistance to noise interference and geometric attack is enhanced, and high-dimensional quantization index modulation is realized. The method not only has good invisibility and robustness, but also can effectively solve the problem of weak digital watermark resistance of the color image, and is suitable for occasions of digital media copyright protection.

The invention discloses an anti-screen shooting video watermarking method based on a fast Zernike moment and a SuperPoint network, which mainly comprises two steps of watermark embedding and watermark extraction, and the core is that geometric invariance of the Zernike moment and high-precision feature positioning of the SuperPoint network are fused, and video watermarking processing for resisting screen capture attack is realized in combination with improved quantization index modulation (MQIM). In the aspect of anti-attack capability, the method is outstanding in performance when facing specific composite interference of screen shooting; after screen shooting attack including moire and geometric distortion, the average normalized correlation coefficient (NC) of watermark extraction is greater than 0.98, and the extraction success rate is stabilized at 95% or above; in the aspect of calculation efficiency, the watermark embedding and extracting speed is increased to 35 FPS, and the requirement for real-time processing is completely met.

The invention discloses an anti-error robust image steganography method based on background-noise-free low-frequency embedding, and the method comprises the steps: carrying out the preprocessing and hybrid coding of an original secret image, and generating a final secret embedded stream; 5 / 3 integer wavelet transform is carried out on the carrier image to decompose the frequency domain, a first-level low-frequency sub-band is extracted, texture activity is calculated in a blocking mode, and an embedded mask is generated; modulating and setting a quantization step size and a jitter bias based on a quantization index, and adjusting a block mean value and superposing an offset based on a bit to be embedded to complete embedding; the method comprises the following steps: performing integer wavelet transform and block statistics on a received image, obtaining an initial bit stream by using a minimum distance method of quantization index modulation, and reconstructing and outputting a secret image through anti-interleaving, error correction decoding, inverse whitening and inverse scrambling processing. According to the method, the problems of poor safety and weak burst error resistance of traditional steganography are solved, the balance of robustness and concealment is realized, and the reliability of covert communication under a complex channel is improved.

This invention discloses an error-resistant robust image steganography method based on low-frequency embedding without background noise. The method includes: preprocessing and hybrid encoding the original secret image to generate a final secret embedding stream; performing a 5 / 3 integer wavelet transform on the carrier image to decompose the frequency domain, extracting the first-level low-frequency sub-band, calculating texture activity in blocks, and generating an embedding mask; setting the quantization step size and jitter bias based on quantization index modulation, adjusting the block mean based on the bits to be embedded, and superimposing the offset to complete the embedding; performing integer wavelet transform and block statistics on the received image, obtaining the initial bit stream using the minimum distance method of quantization index modulation, and reconstructing the output secret image through deinterleaving, error correction decoding, inverse whitening, and inverse scrambling. This invention solves the problems of poor security and weak resistance to burst errors in traditional steganography, achieving a balance between robustness and concealment, and improving the reliability of covert communication in complex channels.