13001results about "Pictoral communication" patented technology

A pattern which does not appear at a flat portion in normal binarization processing is set as a code pattern, and a code formed from this pattern is attached. At this time, code attachment with little degradation in image quality is implemented by selecting an unnoticeable pattern.

The invention discloses a medical image encryption and secure storage method and system based on a block chain, and the method comprises the steps: obtaining the original data of a medical image, segmenting the original data of the medical image into a plurality of segments through a fragmentation technology, carrying out the encryption of each segment through a symmetric encryption algorithm, generating an encrypted segment set, and storing the encrypted segment set in a database; determining an integrity check value of the encrypted fragment set; according to the encrypted fragment set, adopting a distributed storage protocol to distribute each fragment to a plurality of storage nodes, recording a storage position and an integrity check value of each fragment to a block chain account book, and generating a storage index containing a storage path and check information; and establishing an access control strategy through the block chain smart contract, and if the obtained requester identity identifier and the authority level conform to the access control strategy, generating a dynamic authorization token including an access range and time limitation. According to the method, the privacy of the patient is protected, and meanwhile, the safety and availability of medical data are improved.

The invention discloses a multi-modal data real-time identification and cooperative processing system based on edge computing and federated learning. The multi-modal data real-time identification and cooperative processing system comprises a cloud center coordination node, a plurality of edge computing nodes, a cross-modal encryption engine, a federated learning controller and a model updating verification module. The cloud center coordination node executes federated learning model aggregation and dynamic task allocation, and generates a cross-modal encryption strategy; and the edge computing node is configured with a multi-modal data acquisition module, a local model training unit and a co-processing gateway to realize multi-modal data acquisition and local processing. The system encrypts vision, acoustics and text data by using differentiated algorithms such as spatial confusion, frequency domain permutation and homomorphic encryption; the federated learning controller carries out multi-modal feature fusion, hierarchical encryption and dynamic networking at the edge node; and the model updating verification module performs aggregation updating after ensuring parameter consistency by using secure multi-party calculation. According to the method, real-time processing and privacy protection of multi-modal data are realized, and the data co-processing efficiency is improved.

The present disclosure generally relates to user interfaces. In some examples, the electronic device provides for transitioning between simulated lighting effects. In some examples, the electronic device applies a simulated lighting effect to an image. In some examples, the electronic device provides user interfaces for applying a filter to an image. In some examples, the electronic device provides for a reduced filter interface. In some examples, the electronic device provides a visual aid displayed in a viewfinder.

The invention discloses a federated learning model training method and system based on differential privacy image noise addition. The method comprises the following steps: S1, initializing an evaluation network, a target network and hyper-parameters; s2, initializing a global model and parameters; s3, acquiring a selected client and a privacy budget; s4, the selected client performs local training and uploads the disturbance gradient to the central server; s5, the central server aggregates the disturbance gradient of the client to obtain an updated global model and a reward corresponding to the current state; s6, the next state of federated learning is obtained, and the evaluation network and the target network are updated; s7, repeatedly executing the steps S3 to S6 until the set number of global iterations is reached; and S8, updating the exploration rate and repeatedly executing the steps S2 to S7 until the set federal learning times are reached. The invention provides a dynamic differential privacy method in combination with a federal learning framework, which can improve the image recognition rate while ensuring the privacy of the user.

The invention relates to a multi-medical image encryption method based on a three-dimensional hyperchaotic system, and belongs to the technical field of medical image encryption. According to the method, in an image preprocessing stage, dual medical images are fused through an Alpha channel to generate a to-be-encrypted matrix, an SHA-512 function is combined with RGB and an Alpha channel matrix to generate a key sequence, and a dual-key matrix and a chaotic sequence are generated through a three-dimensional hyperchaotic Logistic-Sink (3D-HCLSM) system; in the encryption stage, triple encryption operations are implemented: a parameter randomization dynamic Josephh scrambling strategy is adopted to generate a primary ciphertext, an improved zigzag bidirectional cross permutation strategy is adopted, pixel diffusion with a key matrix is carried out to obtain a secondary ciphertext, a novel bit-level scrambling strategy is carried out, and bit XOR operation with the key matrix is carried out to complete final encryption. According to the method, a dynamic Joseph traversal mechanism with random parameters is provided, an optimized zigzag replacement strategy and a novel bit-level processing technology are combined, and the attack resistance and safety of medical image encryption are remarkably improved through the synergistic effect of multi-level chaos secret keys.

The invention relates to the technical field of image processing, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a data processing method, device and equipment based on cross-domain feature alignment and a medium. The method comprises the following steps: generating potential space representation based on linear projection and position coding, inputting a pre-trained time sequence processing unit to extract and decompose target domain features, realizing alignment of different scale feature distributions by using domain adaptation parameters, fusing the scale features through a hierarchical attention weight mechanism, and generating target image data. According to the method, potential spatial features are extracted by performing blocking and coding on the image data, feature extraction and multi-scale decomposition are realized in combination with a time sequence processing unit, alignment processing of different scale features is completed by using domain adaptation parameters, and the accuracy of local detail recovery and global structure maintenance in a decryption process is effectively improved.

The invention provides an optical image encryption method and system based on a partially coherent non-diffracting light beam, and belongs to the technical field of optical encryption and information transmission. Encoding to-be-encrypted image information into the light field cross-spectral density function; the method specifically comprises the following steps: discretizing an image as an expansion coefficient of a power spectral density function at a light source under a pseudo-mode substrate, and constructing a cross spectral density function; a complex amplitude modulation algorithm is adopted to convert light field complex amplitude distribution into a pure phase hologram, the pure phase hologram is loaded to a spatial light modulator, a multi-mode incoherent superposition partially coherent non-diffraction light beam is generated, and the multi-mode incoherent superposition partially coherent non-diffraction light beam interferes with a reference light beam to obtain a light field image; performing coordinate transformation and frequency domain filtering on the light field image to extract a complex coherence degree function; and reconstructing and restoring the original image information in combination with a preset key and a digital inversion algorithm. According to the method, the light beams are constructed based on pseudo-mode superposition, image hidden coding, transmission and decryption are realized by utilizing the characteristics of partially coherent light and non-diffraction light beams, and the method is suitable for optical communication and security information transmission.

The invention discloses an image encryption system and method in an intelligent power grid environment, and aims to solve the problem that an encryption strategy is static and lacks self-adaptive capability in the prior art. The image encryption system comprises terminal equipment, edge equipment and central equipment, and a dynamic key generation unit on the terminal equipment generates a dynamic key by cooperatively utilizing a physical unclonable feature (PUF) of the equipment and a real-time load of a power grid; the hierarchical encryption unit performs encryption of different intensities based on image content complexity. A topology sensing transmission module of the system analyzes power grid topology by using a graph neural network (GNN) and dynamically optimizes transmission. In addition, the image encryption system further integrates low-density parity check code encoding and decoding and a self-adaptive decryption strategy so as to enhance the anti-interference capability. According to the invention, by constructing a sensing, decision-making and execution integrated adaptive security system, the security, high efficiency and robustness of smart grid image data transmission are significantly improved.

The invention provides an image data secure transmission method, computing equipment and a computer storage medium. The method is applied to a data sender, and comprises the following steps: executing a first image encryption algorithm, and performing encryption processing on a transmission image through an image key to obtain a ciphertext of the transmission image; executing a first key encryption algorithm, and performing encryption processing on the image key through an encryption key to obtain an encrypted image key; the first image encryption algorithm is different from the first key encryption algorithm; and forming a transmission data packet from the ciphertext, the encryption key and the encrypted image key, and transmitting the transmission data packet to a data receiver. Therefore, a proper image encryption algorithm is adopted for the image data, and a proper key encryption algorithm is adopted for the image key, so that real-time performance and security are both considered in the image data encryption process through a mixed encryption mode.

The invention relates to the technical field of interaction based on visual earphones, and discloses an interaction method and device based on a visual earphone, computer equipment and a medium, and the method comprises the steps: judging whether a user wearing the visual earphone sends an interaction instruction or not; analyzing content in the interaction instruction to determine a user demand; in response to the user demand, controlling a camera to scan current content to obtain a scanned picture; performing data processing on the scanned picture based on the user demand to obtain a processing result; and feeding back the processing result to the user. The method has the beneficial effects that the user demand is determined through the interaction instruction, and intelligent and personalized services can be provided according to the user demand. Through the camera integrated with the earphone, a user can obtain environment information in real time without depending on external equipment, and obtain instant feedback through the earphone, so that the practicability and interaction experience of the intelligent wearable equipment in a complex environment are greatly improved.

The invention discloses a round bottle printer control method, system and device and a storage medium, and relates to the technical field of round bottle printer control, and the method comprises the steps: analyzing PRN format printing data, segmenting the PRN format printing data into a forward printing layer and a reverse printing layer according to the physical layout of a nozzle, and generating an S-shaped data file containing a channel mapping relation; at least two printing strokes are executed, in the first round, the nozzle array is driven to output a forward image layer along a forward track, in the second round, a reverse image layer is output along a reverse track, and a closed-loop track is formed; according to the real-time distance between the nozzle and the medium, adjusting ink droplet injection parameters including volume, frequency and track compensation coefficient; the invention further relates to a corresponding system, electronic equipment and a storage medium, the printing precision and quality can be improved, and the method is suitable for a multi-nozzle round bottle printing scene.

The invention discloses a multistage video watermark embedding and extracting method and system, and the method comprises the steps: carrying out the perception analysis of an original video through a space-time attention neural network, and dynamically dividing a time domain stable region and a space domain sensitive region; a three-level watermark system is constructed, the three-level watermark system comprises a basic-level watermark, a first-level enhanced watermark and a second-level enhanced watermark, the basic-level watermark adopts an anti-rotation binary matrix generated by a Fourier descriptor, the first-level enhanced watermark is a DCT frequency domain Hash sequence, and the second-level enhanced watermark is a semantic fingerprint generated based on a motion vector. According to the method, through multi-dimensional collaborative optimization of the anti-attack capability, the dynamic security mechanism and the verification efficiency, the core defects that erasing is easy due to insufficient reversibility in a traditional video watermarking technology and counterfeit affiliation chaos is caused by a static key are overcome, and reliable technical guarantee is provided for digital content copyright protection.

The invention discloses a high-load data steganography method, system and device and a medium, and the method comprises the steps: obtaining secret data of a power system, and converting the secret data into a novenary sequence; a quantum key distribution system is utilized to generate a shared key, the novenary sequence is encrypted through an encryption key, encrypted information is obtained, and the shared key comprises the encryption key and a mapping key; determining a corresponding first unit matrix from a preset mapping library based on the mapping key, and performing non-overlapping tiling on the first unit matrix in a two-dimensional plane to obtain a second-order reference matrix; and scanning a preset carrier image into a non-overlapping first pixel pair sequence according to a Hilbert curve, and embedding the encrypted information into the first pixel pair sequence by using the second-order reference matrix to obtain a steganographic image, so that the data transmission security can be improved.

The invention discloses an image encryption method and device based on a chaotic system and electronic equipment, and relates to privacy computing or other related fields, and the method comprises the steps: converting a target image into a three-channel grayscale image, and converting the three-channel grayscale image into a one-dimensional array; obtaining a first random key stream generated by the new four-dimensional chaotic system, and performing pixel value diffusion on the one-dimensional array; merging the diffused image arrays, generating a scrambling function based on chaotic tent mapping, and scrambling pixel positions of the merged arrays; obtaining a second random key stream, selecting a DNA coding rule, and coding the scrambling array into a DNA sequence; obtaining a third random key stream and selecting a DNA operation rule to perform encryption operation on the DNA sequence; and decoding the encrypted sequence into a decimal system, and combining channels to obtain a target encrypted image. Through the method and the device, the technical problem that the encryption information is easily attacked and cracked due to the fact that the sensitive data encryption method in the related technology is limited to the encryption dimension and the key space is solved.

To provide a configuration which supports that a user considers a sorting method to both sides of each image, about a transparent medium printable on both faces of a front face and a rear face.SOLUTION: A print system comprises: a display which presents two or more patterns including a first pattern in which a first image and a second image are printed on the same face side of a transparent medium, and a second pattern in which the first image and the second image are printed on the opposite side of the transparent medium; and a printer which performs print in accordance with the pattern selected by the user among the presented patterns.SELECTED DRAWING: Figure 1

A secret image sharing method based on deep compressed sensing image steganography belongs to the field of image information security, and comprises the steps of training set preprocessing and model training; performing compressed sensing sampling on the carrier image and the secret image by using a sampling network to obtain corresponding measurement values; mapping the measured value into a proxy image through a forward projection process; hiding the proxy secret image into the proxy carrier image by using a reversible neural network to generate a high-dimensional proxy steganographic image; mapping the proxy steganographic image back to a low-dimensional measurement value through a back projection process, and mapping the proxy steganographic image into a high-dimensional proxy steganographic image through a forward projection process; performing reverse revelation of secret information by using a reversible neural network to recover a proxy image; and reconstructing the recovered proxy image through the reconstruction network to obtain a recovered carrier image and a secret image, and completing sharing. According to the invention, the storage and transmission overhead is reduced, the transmission efficiency is improved, the shared image capacity is increased, and safe and efficient secret image sharing is realized.

A medium processing apparatus includes a liquid applier, a post-processing device, and circuitry. The liquid applier includes a liquid application member that applies liquid to a part of a medium, the medium being at least one medium. The post-processing device binds a bundle of media including the medium to which the liquid is applied by the liquid applier. The circuitry changes, according to a binding condition for the post-processing device, at least one of an amount of movement of the liquid application member toward the medium or a contact time during which the liquid application member is in contact with the medium.

The invention discloses an unmanned aerial vehicle inspection traffic control system and method based on a chaotic system. The unmanned aerial vehicle inspection traffic control system comprises a sending end, an encryption module and a receiving end, the sending end is used for acquiring an original inspection image acquired in unmanned aerial vehicle inspection; the encryption module performs data interaction with the sending end and is used for encrypting the original inspection image to obtain encrypted image data; the receiving end is used for acquiring the encrypted image data; in the encryption process, using a plaintext association framework of an SHA-256 hash function, and applying the plaintext association framework to the encrypted original image to enhance the sensitivity of the plaintext; moreover, the coded data is better in compatibility, is suitable for being embedded into different structured data formats, guarantees the data integrity, also gives consideration to the protocol friendliness, and has a larger chaotic region, stronger theoretical robustness, a higher engineering fault-tolerant rate, a more flexible system design space and better safety performance.

A Method for processing RGBIR (Red Green Blue Infrared) multi-frame HDR (High Dynamic Range) with luma includes capturing a plurality of RGBIR raw images with different exposure times by at least one camera, generating a plurality of luma images using a color filter array luma (CFAL) filter according to the plurality of RGBIR raw images, performing IR color correction to generate a plurality of corrected RGBIR raw images according to the RGBIR raw images, performing HDR fusion to generate a HDR RGBIR raw image according to the plurality of luma images and the plurality of corrected RGBIR raw images, generating gradients according to the HDR RGBIR raw image and the plurality of luma images, and performing interpolation to generate a result image according to at least the gradients and the HDR RGBIR raw image.

The invention provides a disaster site satellite communication blind area image acquisition and transmission method of a low-altitude unmanned aerial vehicle relay. The method comprises the following steps: acquiring disaster area information and executing adaptive multi-modal image acquisition; establishing a low-altitude unmanned aerial vehicle relay network; performing feature extraction and semantic analysis on the marked image data set, generating non-uniform image fragments and calculating a transmission priority; and monitoring a communication environment state, and dynamically adjusting a transmission strategy through a dual-cycle feedback mechanism. According to the method, semantic integrity is ensured, transmission window perception is realized, parameter adjustment is stabilized through a double-loop feedback mechanism, and the problem of efficient transmission of the satellite communication blind area edge image in a disaster site is solved.

According to examples, an apparatus may include a processor and a memory on which are stored computer-readable instructions that, when executed by the processor, may cause the processor to access a master image to be printed and receive a scanned image corresponding to the master image. The processor may identify a defect in a scanned image region of interest (ROI) based on the master image. A type of the scanned image ROI may include a raster ROI, a symbol ROI, a background ROI, and / or a color vector ROI, and the identified defect may be associated with the type of the scanned image ROI. The processor may determine a severity of the identified defect of the scanned image and may output the determined severity.

A system for generating live sonar images is provided having a first and second sonar transducer assembly. The sonar transducer assemblies each have sonar transducer elements configured to transmit sonar beam(s) into an underwater environment to form respective coverage volumes. The sonar transducer assemblies each define a respective facing direction. The system includes bracket(s) having alignment feature(s). The bracket(s) are configured to mount the sonar transducer assemblies to a watercraft, and the alignment feature(s) are configured to position the sonar transducer assemblies so that the facing directions are different and relative to each other so as to create continuous coverage of the underwater environment. Continuous coverage has an overall coverage volume that is greater than either of the coverage volumes individually. Sonar return data from the sonar transducer elements is used to form a live sonar image representative of sonar returns received from the overall coverage volume.

An apparatus includes a load circuit, a power source, a power storage device, a charging circuit, and a temperature detection unit, a control unit that controls power supply to the load circuit according to a state of the apparatus. The control unit, in a first state, performs control so that power is supplied from the power source to the load circuit without power being supplied from the power storage device to the load circuit and, in a second state, performs control so that power is supplied from the power source and the power storage device to the load circuit, and the control unit sets a charging complete voltage of the power storage device via the charging circuit depending on a temperature detected by the temperature detection unit.

The invention discloses a dynamic S-box and cross-channel diffusion image encryption method based on six-dimensional hyper-chaos driving, and belongs to the field of information security, and the method comprises the implementation steps: 1) constructing a novel six-dimensional hyper-chaos system; 2) constructing a cross-channel diffusion scheme based on the six-dimensional hyperchaotic system; 3) constructing a dynamic S box library based on a six-dimensional hyperchaotic system; according to the invention, by introducing an inter-channel coupling mechanism, the potential safety hazard of traditional sub-channel encryption is effectively relieved. A dynamic S box generated based on chaotic system state self-adaption enhances the nonlinear confusion characteristic, and Arnodcat mapping transformation realizes global pixel scrambling. Theoretical and experimental results show that the method overcomes the limitation of a low-dimensional system, and the aspects of statistical analysis, key sensitivity, attack resistance and the like are remarkably improved.

To facilitate prediction of the details of processing, compared with a case where an icon to be associated with the processing is selected from icons prepared in advance.SOLUTION: An information processing system has one or more processors, and the one or more processors extract one or more features that regulate processing designated by a user, generate character strings of a content instructing output of icons representing the extracted one or more features, and provide the generated character strings to a learned model to acquire one or more icons.SELECTED DRAWING: Figure 4

A method can include using a digital camera of a digital microscopy system, acquiring a digital image of an engineered three-dimensional object positioned on a base and illuminated by a light source; using the digital camera, acquiring a digital image of a color checker card positioned on the base and illuminated by the light source; determining a light source criterion by assessing position of the light source based at least in part on a shadow in the digital image of the engineered three-dimensional object as castby the engineered three-dimensional object and based at least in part on saturation of color in the digital image of the color checker card; and calibrating the digital microscopy system using the light source criterion to generate a calibrated digital microscopy system.

The invention discloses a unique identification management system for food production, belongs to the field of food management, and constructs an innovative solution with high safety, high identification degree and high credibility in the field of food identification through a technical closed loop of artistic design, multi-source data fusion, multistage anti-counterfeiting collaboration and block chain credible evidence storage. And powerful technical support is provided for brand protection, anti-counterfeiting traceability and consumer trust establishment in the food industry.

The invention discloses a color image encryption method and device, and the method comprises the steps: obtaining a to-be-encrypted plaintext image, carrying out the extraction of global image features of the plaintext image, and generating an internal key of the plaintext image based on the global image features; a random external secret key is obtained, the external secret key and the internal secret key are sequentially and complexly mapped to a parameter space from a secret key space to obtain four groups of parameter sets used for generating a chaotic sequence, and the parameter sets comprise control parameters # imgabs0 # and initial values # imgabs1 # and # imgabs2 #; inputting the four groups of parameter sets into a preset PLS composite chaotic system to generate four groups of independent chaotic sequences # imgabs3 #; and performing encryption processing on the plaintext image based on the chaos sequence # imgabs4 # and the chaos sequence # imgabs5 # to obtain a semi-encrypted image. According to the method and the device, the security and the encryption efficiency are improved.

The invention discloses a scanning method and system based on pre-scanning and dynamic optimization, a medium and equipment, and the method comprises the specific steps: a pre-scanning step: carrying out the preliminary scanning of a file through light sources with different wavelengths through a multispectral scanning technology, and obtaining image information containing visible light and invisible light wave bands; a pre-scanning analysis step: based on a deep learning image analysis algorithm, analyzing a preliminary scanning image in real time, and identifying a file type, a non-uniform illumination region and a potential scanning problem; a light supplement adjustment step: dynamically adjusting the brightness, angle and spectral range of a light supplement lamp according to the pre-scanning analysis result; a high-precision scanning step: performing high-precision formal scanning to obtain a scanning image; and a post-processing step: based on AI denoising, sharpening, color correction and semantic analysis, generating an optimized scanning file. According to the method, dynamic adaptation to different document features can be realized through setting of the pre-scanning analysis step and the light supplementing adjustment step, and the scanning quality and efficiency are remarkably improved.