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35 results about "Quantization index modulation" patented technology

Abstract—Quantization Index Modulation (QIM) is a method for digital watermarking. The host signal is quan- tized to the nearest point in the codebook indexed by the message. The performance depends greatly on the lattice quantization codebook construction.

Video watermarking method based on visual attention mechanism

The invention discloses a video watermarking method based on a visual attention mechanism. Binary-system watermark information is embedded into a DCT domain in a visual non-saliency area of an MPEG-2 video key frame is selected to achieve the purpose of video copyright protection. The video watermarking method comprises the following steps of decoding a carrier video and obtaining the video key frame I; adopting a Koch and Itti visual remarkable model to analyze visual saliency of the video key frame and dividing a visual saliency area; selecting the visual non-saliency area human eyes are not too sensitive to, performing fixed-step-length odd-even quantization index modulation on a DCT direct current coefficient of luminance component and embedding watermark information; analyzing the visual saliency of the video key frame with embedded watermarks, judging a watermark embedding area and extracting the watermark information according to watermark embedding rules. The visual attention feature of the human eyes is effectively utilized in the video watermarking method, the invisibility of the video watermarks is improved, the video watermarking method has good robustness on common video attacks, and contradiction between the watermark invisibility and the robustness is effectively relieved.
Owner:HOHAI UNIV

Method of Quantization-Watermarking

There is provided a method of detecting a watermark included in a signal by way of quantization index modulation (QIM). The signal with the embedded watermark may have been geometrically transformed (e.g. spatially or temporally scaled) prior to detection. In order to detect the watermark even in such case, the embedder imposes an autocorrelation structure onto the embedded watermark data, for example by tiling. Initially, the detector applies conventional QIM detection. This step yields a first symbol vector, which corresponds to the embedded data when the signal was not tampered with, but does not correspond to the embedded data when the signal was subject to scaling. For example, when one data bit is embedded in each pixel of an image, 50% upsampling of the image causes a QIM detector to retrieve 3 data bits out of 3 received pixels, that is 3 data bits out of 2 original image pixels. Surprisingly, the autocorrelation of the first symbol vector will give a peak for a particular geometric transformation (e.g. the particular scaling factor). In accordance with the invention, the detector calculates said autocorrelation function, and uses the result to apply the inverse of the transformation, i.e. undo the scaling. A second pass of the conventional QIM detection will subsequently receive the embedded data.
Owner:KONINKLIJKE PHILIPS ELECTRONICS NV

Iteration self-adapting quantizing index modulation watermark method based on vision model

InactiveCN101271568AEliminate extraction errorsHigh strengthImage data processing detailsWatermark methodVision based
The invention provides an iterative self-adapting quantitative index modulation watermarking method basing on a visual model, which includes the following steps: (1) to a specific value to be quantified, the quantization step is determined through a Watson visual model and varies with the varieties of the value to be quantified; (2) the quantization step is adopted, and a quantitative index modulation algorithm is used for embedding a watermark; (3) an iterative embedding process is added in the watermark embedding process, the watermark is detected after every bit is embedded. If the embedding is detected to be failed, the bit is embedded again. And if the embedding is detected to be successful, the embedding of a next bit is started. The iterative self-adapting quantitative index modulation watermarking method basing on a visual model determines the quantization step through the Watson visual model, eliminates the watermark extraction error of the watermark embedding detection caused by the inconsistency of the quantization step, which is provided with better robustness, can enhance the strength of the watermark under the condition of guaranteeing the invisibility of the watermark and guarantees the accurate detection of the watermark through the iterative embedding method. The watermark embedding process is shown as Figure 1.
Owner:SHANDONG UNIV

Angle quantification index modulation image watermarking system and method based on compressed sensing technology

The invention discloses an angle quantification index modulation image watermarking method based on a compressed sensing technology. A chaotic sequence is adopted to construct a sparse random measurement matrix as an observation matrix, and a compressed sensing technology and an angle quantification index modulation algorithm are utilized to safely and snugly embed watermark information into a compressed sensing domain of a carrier image. The invention also provides an angle quantification index modulation image watermarking system based on a compressed sensing technology. The system includesan observation matrix constructing module, a watermark embedding module, an information transmission module and a watermark extracting module. According to the angle quantification index modulation image watermarking method and system based on a compressed sensing technology, the watermark information is embedded into the compressed sensing domain of the carrier image through the angle quantification index modulation algorithm at a sending end, related information of the observation matrix and the embedding position of the watermark serve as a key to be sent to a receiving end, watermark extraction is realized, the advantages of good concealing property, high security and the like are achieved, and very high robustness is shown when conventional watermark attacks such as noise, filtering,image compression, amplitude scaling and the like are resisted.
Owner:SOUTHEAST UNIV

Minimum distortion information hiding method and system based on lattice theory and medium

The invention discloses a lattice theory based minimum distortion information hiding method and system and a medium. The method comprises the following steps of: obtaining a carrier signal vector, an embedded message and a group of nested lattices in an N-dimensional space through data initialization; calculating a lattice point closest to the carrier signal vector according to different secret information; calculating the difference value between the grid point and the carrier signal vector, and determining the position of the carrier information after the information is embedded; embedding a to-be-embedded message into the carrier signal vector and transmitting the to-be-embedded message; and extracting the secret information from the secret-containing carrier. According to the method, the carrier signal is moved into the Voronoi region of the lattice point in a minimum distance manner, so that the distortion caused by embedding is minimum while the embedding rate which is the same as that of quantization index modulation can be ensured, and the method is suitable for application scenes which have low requirements on robustness and pursue low distortion. In addition, according to the method, the movement distance is calculated by moving to the Packing space boundary of the grid point and utilizing the Packing radius, so that the calculation amount is saved, and the method has relatively high calculation efficiency.
Owner:JINAN UNIVERSITY

Digital watermark processing method and device, electronic equipment and storage medium

The invention discloses a digital watermark processing method and device, electronic equipment and a storage medium. The digital watermark processing method comprises the steps of obtaining a to-be-embedded image; extracting face regions of the to-be-embedded image and splicing to obtain a digital watermark image; segmenting the to-be-embedded image of the preset channel of the YCbCr color space into a plurality of first image blocks with preset sizes; and based on a jitter quantization index modulation algorithm, performing quantization embedding processing on the coefficient in the first image block by using the digital watermark image to obtain an image embedded with the digital watermark in the RGB color space. According to the invention, the QIM-DM algorithm and the digital watermarkimage are used for jointly carrying out quantitative embedding processing on the coefficient in the first image block to obtain the image embedded with the digital watermark; by adding the digital watermark image which is not easily perceived by a human vision system into the image to be embedded, malicious attacks of a deep counterfeiting technology on the image or a video file are defended, theeffectiveness of a final detection result can be improved, and the accuracy of the final detection result is improved.
Owner:安徽深信科创信息技术有限公司

Iteration self-adapting quantizing index modulation watermark method based on vision model

InactiveCN101271568BEliminate extraction errorsHigh strengthImage data processing detailsWatermark methodVision based
The invention provides an iterative self-adapting quantitative index modulation watermarking method basing on a visual model, which includes the following steps: (1) to a specific value to be quantified, the quantization step is determined through a Watson visual model and varies with the varieties of the value to be quantified; (2) the quantization step is adopted, and a quantitative index modulation algorithm is used for embedding a watermark; (3) an iterative embedding process is added in the watermark embedding process, the watermark is detected after every bit is embedded. If the embedding is detected to be failed, the bit is embedded again. And if the embedding is detected to be successful, the embedding of a next bit is started. The iterative self-adapting quantitative index modulation watermarking method basing on a visual model determines the quantization step through the Watson visual model, eliminates the watermark extraction error of the watermark embedding detection caused by the inconsistency of the quantization step, which is provided with better robustness, can enhance the strength of the watermark under the condition of guaranteeing the invisibility of the watermark and guarantees the accurate detection of the watermark through the iterative embedding method. The watermark embedding process is shown as Figure 1.
Owner:SHANDONG UNIV

A tactile digital watermark embedding and detecting method based on electrostatic force

The invention provides a tactile digital watermark embedding and detecting method based on electrostatic force, and belongs to the field of information security. The method includes: carrying out Edgedetection and texture extraction on an original picture and a user-defined vector diagram respectively; obtaining an original picture edge texture tactile feature and a user-defined vector diagram texture tactile feature through texture extraction, carrying out DES encryption fusion on the two features to obtain a tactile digital watermark, and embedding the tactile digital watermark into the original picture by using a quantitative index modulation algorithm; The method comprises the following steps: at a detection end, extracting a watermark, performing DES decryption separation on the watermark to obtain an original picture edge texture tactile feature and a user-defined vector diagram texture tactile feature, performing tactile modeling and rendering on the two parts respectively, re-superposing the two parts together, and inputting the two parts into an electrostatic force tactile terminal to realize tactile reproduction. According to the method, the digital watermark is embeddedand detected by additionally providing a tactile dimension, so that the anti-counterfeiting performance of the digital watermark is greatly improved, and the applicability and the safety of the watermark are enhanced.
Owner:JILIN UNIV
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