44 results about "Quantum image" patented technology

The application discloses a quantum image multiplication operation method and device and electronic equipment, and relates to the field of quantum operation, and solves the problem of low performance of a quantum image multiplication operation algorithm in the prior art, and the technical solution points are as follows: a plurality of quantum images with shared position information and in a superposition state are prepared based on a NEQR quantum image representation model; any two quantum images in the plurality of quantum images are subjected to multiplication operation processing based on a quantum multiplier, and a matrix of pixel values of the quantum image is obtained; information of each pixel point in the matrix of pixel values of the quantum image is extracted, and the information is converted into classical image information; wherein, the operation steps of quantum multiplication are improved according to binary multiplication, the quantum multiplication improved based on binary multiplication is designed by using a Toffoli gate and a quantum full adder, and a quantum multiplier is obtained. The application improves the performance of a quantum image expression algorithm, and makes it easier to simulate under a classical computer.

A method for imaging an object illuminated with natural light including arranging an optical filter in an optical path of at least a portion of the natural light that is reflected and / or refracted or scattered from the object; arranging an optical detector in an optical path of light at least one of reflected from and / or transmitted through the optical filter; detecting, using the detector, individual photons for a time period to provide a times series of individual photon events; segmenting the time series into a plurality of bins; determining a number of detected photons within each bin to provide a time series of photon counts per bin; replacing and / or reconfiguring the optical filter a plurality of times followed by detecting, segmenting and determining to obtain a plurality of times series of photon counts per bin; and forming an image of the object based on the plurality of times series.

A quantum method that uses the Mz quantum circuit that receives a given single chaotic value to generate strong quantum key stream of three keys. The method includes encrypting a quantum plain color image; applying set of CNOT gates between qubits of a quantum image and qubits of a quantum key to obtain a quantum encrypted image; generating a new quantum key, applying additional set of CNOT gates between the qubits the quantum color image, and the corresponding qubits of the quantum key as target qubits; performing a quantum plain scrambling (QPS) operation; and applying set of CNOT gates; and obtaining, by the quantum circuit, a quantum ciphered image.

The invention discloses a quantum image sensing method and device based on exposure modulation. The sensing end performs frame-by-frame exposure modulation on the same scene in continuous K frames, and regulates and controls the expected number of incident photons of each frame; the pixels output a 1-bit binary image in each frame and obey Poisson distribution. And the collection end takes K frames as a group to carry out maximum posteriori estimation to obtain reference intensity estimation of each pixel. In order to improve robustness and speed, an RED-PRO iterative algorithm based on FISTA acceleration is adopted in the reconstruction process, after gradient descent of a data consistency item, the data is projected to a pre-training de-noising device manifold, and a pixel adaptive step length is given based on Fisher information. According to the method, the signal-to-noise ratio is remarkably improved and artifacts are inhibited in a scene with low illumination, saturation and limited dynamic range, the 1-bit sensing circuit architecture does not need to be changed, and the existing QIS / SPAD sensor and the lens module can be compatible only through exposure modulation and software reconstruction.

The invention discloses a multi-bit quantum image sensor based on single photon detection and a hardware system, and belongs to the technical field of quantum image sensors. The quantum image sensor comprises a photon detection array; each pixel in the photon detection array corresponds to one quantum response unit; an avalanche trigger circuit in the quantum response unit is used for detecting avalanche current caused when a photon detection unit detects photons and outputting a digital trigger signal; the quenching circuit is used for quickly terminating current after avalanche; the photon counting unit is used for counting the number of photon events within specified exposure time; and the multi-bit quantization unit is used for performing quantization coding on the photon count value based on the statistical characteristics of the photon events. According to the scheme, a hardware integrated processing architecture from quantum image acquisition to image reconstruction is formed, and the imaging effect of image reconstruction based on data acquired by the quantum image sensor is improved.

The invention provides a power equipment image processing method and system based on a quantum image coding algorithm. The method comprises the following steps: S1, acquiring a multi-modal image of power equipment; s2, preprocessing the multi-modal image to obtain standardized image data; s3, based on the structural characteristics of the power equipment, carrying out adaptive partitioning on the standardized image data to obtain a plurality of sub-image blocks, and mapping the pixel information of each sub-image block into quantum state information through angle coding; s4, calling a quantum image coding algorithm, initializing a quantum circuit, generating an optimal quantum circuit by taking fidelity maximization of an output state of the quantum circuit and a quantum state of a target sub-image block as a target, and extracting hidden space quantum state characteristics of each sub-image block based on the optimal quantum circuit; and S5, fusing the hidden space quantum state features of all the sub-image blocks by adopting a quantum state direct product mode, constructing a global feature quantum state, and inversely converting the global feature quantum state into classical enhanced image data through a quantum decoder.

The invention provides an adaptive coincidence gate width optimization quantum imaging method based on a scattering free path. Firstly, pump light pumps a PPKTP crystal, and an entangled photon pair is generated through the SPDC process; then, separating the photons by using a PBS (Phosphate Buffer Solution), transmitting the photons along a reference light path and a signal light path containing a scattering environment respectively, and acquiring a photon arrival time sequence by a corresponding detector; thirdly, simulating a transmission process of signal photons in a scattering environment based on a Monte Carlo method, calculating a total scattering free path, counting the number of photons of each pixel point under different scattering times, and further screening out the optimal scattering times with the maximum number of photons; then, calculating a delay inequality according to a minimum total scattering free path corresponding to the optimal number of scattering times, and determining a self-adaptive coincidence gate width in combination with a fluctuation range of the total scattering free path; and finally, correcting a signal photon arrival time sequence by using the delay inequality, completing pixel-by-pixel coincidence counting based on the corrected time sequence and the coincidence gate width, and obtaining a quantum grayscale image through linear mapping.

This invention relates to the field of quantum imaging technology and proposes a digital phase-locked microwave magnetic field imaging system and method based on diamond NV centers. This invention images microwave fields based on the principle of power-broadened magnetic resonance. The system consists of multiple subsystems: an excitation optical path, an imaging optical path, an acquisition system, and a bias magnetic field. The excitation light is used to excite the diamond NV centers; the imaging optical path captures the fluorescence changes during microwave exposure; the acquisition system controls the testing system and analyzes data through a programmed host computer; and the bias magnetic field splits the resonance peaks to increase the bandwidth of the measured microwave field. Furthermore, imaging at different resolutions can be achieved by changing the objective lens. This invention enables non-destructive, non-invasive measurement of microstrip lines at room temperature using the NV center ensemble, thereby analyzing their operating status. In practical applications, this method offers advantages such as high sensitivity and rapid imaging.

The application provides a power equipment image processing method and system based on a quantum image coding algorithm, comprising the following steps: S1, acquiring a multi-modal image of power equipment; S2, preprocessing the multi-modal image to obtain standardized image data; S3, based on the structural characteristics of the power equipment, adaptively dividing the standardized image data into a plurality of sub-image blocks, and mapping the pixel information of each sub-image block into quantum state information through angle coding; S4, calling a quantum image coding algorithm, initializing a quantum circuit, taking the maximum fidelity of the output state of the quantum circuit and the target sub-image block quantum state as the goal, generating an optimal quantum circuit, and extracting the hidden space quantum state features of each sub-image block based on the optimal quantum circuit; and S5, fusing the hidden space quantum state features of all the sub-image blocks in a quantum state direct product manner to construct a global feature quantum state, and inversely converting the global feature quantum state into classical enhanced image data through a quantum decoder.

This invention relates to a quantum imaging system based on deconvolution that penetrates scattering media, belonging to the field of optical imaging. The invention addresses the problem of image distortion caused by interference from scattering media in quantum imaging. The system comprises a beam emitter, a beam receiver, and a scattering medium. The beam emitted by the beam emitter travels through the scattering medium to the surface of the imaging target, then reflects off the target surface and penetrates the scattering medium again. The echo beam is received by the receiving optics and used for imaging. First, the beam emitter uses a spatial light modulator to generate a point source beam, and the beam receiver obtains the point spread function of the quantum imaging system penetrating the scattering medium. Then, the beam emitter uses the spatial light modulator to generate an orbital angular momentum beam, and the beam receiver obtains the distorted image of the quantum imaging system penetrating the scattering medium. The point spread function and the distorted image are input together into a deconvolution module for calculation, reconstructing the target image hidden behind the scattering medium.

The application discloses an LSQb steganography method based on differential steganography, which comprises the following steps: performing differential steganography on a secret image, and expanding the obtained image; converting the obtained image and a cover image into a quantum image in NEQR form, and embedding information of the secret image into a predetermined area of the cover image; transmitting the transmission image to a receiving end by using TCP / IP; extracting the least significant bit of the gray value of each pixel of the image at the receiving end, converting the extracted NEQR image into a classical form image; finding the embedded area from the obtained image, compressing the image extracted from the area into the size of the secret image, and performing accumulation processing on the obtained image to restore the secret image. The application improves the concealment of the transmission secret image, and enhances the security and integrity of information.

The invention belongs to the technical field of quantum information, and relates to a non-detection photon imaging system based on a single optical fiber integrated nonlinear waveguide. Comprising a continuous tunable pumping laser source, an optical amplifier, an adjustable optical attenuator, a first beam splitter, a first adjustable optical delay line, a first polarization controller, a second polarization controller, a first optical circulator, a nonlinear straight waveguide, a second optical circulator, a first optical filter, a second optical filter, a third optical filter, a fourth optical filter, a third optical circulator, a second adjustable optical delay line and an optical absorption terminal. The system comprises a first light collimator, a first lens, a three-dimensional scanning platform, a second lens, a second light collimator, a second beam splitter, a third polarization controller, a fourth polarization controller, a first single-photon detector, a second single-photon detector and a coincidence measurement unit. Compared with a traditional non-detection photon imaging system, quantum imaging of a transparent object can be achieved only through half of resource expenditure, and robustness is provided for the imaging system through all-fiber integrated configuration.

The application discloses a quantum correlation imaging system based on a microlens array, which comprises a transmitter, a receiver, a comprehensive control system and an image inversion system; a light source unit of the transmitter outputs a two-mode vacuum squeezed state, which is divided into a mode A light field and a mode B light field. The mode A light field remains in the local, and the mode B light field returns to the receiver after acting on a target, the receiver performs time synchronization and coincidence measurement on the mode A and B light fields under the transceiving synchronization control of the comprehensive control system, and delivers detection results to the image inversion system. The image inversion system inverts the intensity image of the target by using a high-efficiency data processing algorithm. The comprehensive control system is used for transmitter output control, receiver coincidence measurement control, clock synchronization and real-time communication. The application realizes a quantum imaging system with high energy collection efficiency, can be used for fast imaging of dark and weak targets in a strong background, and can also be applied to medical imaging of biological tissues with low damage threshold.

One or more embodiments of the present disclosure provide a multimedia conference data processing method based on an artificial intelligence model and related devices. The method includes: obtaining a plurality of first images of a first multimedia conference, and obtaining conference text of the first multimedia conference; performing sub-image extraction on at least one second image to obtain a plurality of sub-images; generating description information corresponding to the plurality of sub-images according to the conference text of the first multimedia conference; determining a source text for generating a conference minutes of the first multimedia conference by using a first artificial intelligence model, and generating the conference minutes of the first multimedia conference; and in response to the source text including first description information, determining a first sub-image according to an association relationship, and adding the first sub-image in the conference minutes of the first multimedia conference. In the method, the image information of a high-quality sub-image in the screen sharing content is understood, and the screen sharing content in the form of an image is added in the conference minutes.

The present application relates to image sensor, image processing technical field, for putting forward new image reconstruction method, obtains the image of removing motion blur, for this, the technical scheme that the present application adopts is, the image removing motion blur method for quantum image sensor, the block and image of input binary image sequence composition, patch-based optical flow algorithm realizes the alignment of block and image, based on the merging algorithm of incident photon number change with time realizes binary sequence merging, obtains the image of removing motion blur, wherein, the combination of multiple binary image sequences is called "block", the spatial window of pixel is called "patch", the sum of binary sequence in block is called "block and image". The present application is mainly applied to the design and manufacture occasion of quantum image sensor.

An image reconstruction system includes a single-photon detector array and a computing device. The single-photon detector array captures a time series of low-bit-depth image frames, which have a high temporal resolution (framerate). The computing device is configured to receive and process the time series of low bit-depth image frames to reconstruct a time series of high-quality reconstructed image frames. The image reconstruction pipeline leverages by the computing device incorporates a deep-learning-based, end-to-end neural network configured to reconstruct high-quality grayscale images from low bit-depth (e.g., 3-bit) quanta image data.

One or more embodiments of the invention provide a multimedia conference data processing method based on an artificial intelligence model and a related device, and the method comprises the steps: obtaining a plurality of first images of a first multimedia conference, and obtaining a conference text of the first multimedia conference; performing sub-image extraction on the at least one second image to obtain a plurality of sub-images; generating description information corresponding to the plurality of sub-images according to the conference text of the first multimedia conference; determining a source text used for generating a conference summary of the first multimedia conference by using the first artificial intelligence model, and generating the conference summary of the first multimedia conference; and in response to the first description information included in the source text, determining a first sub-image according to the association relationship, and adding the first sub-image in the conference summary of the first multimedia conference. In the method, the image information of the high-quality sub-image in the screen sharing content is understood, and the screen sharing content in an image form is added in the conference summary.

A method for imaging an object illuminated with natural light including arranging an optical filter in an optical path of at least a portion of the natural light that is reflected and / or refracted or scattered from the object; arranging an optical detector in an optical path of light at least one of reflected from and / or transmitted through the optical filter; detecting, using the detector, individual photons for a time period to provide a times series of individual photon events; segmenting the time series into a plurality of bins; determining a number of detected photons within each bin to provide a time series of photon counts per bin; replacing and / or reconfiguring the optical filter a plurality of times followed by detecting, segmenting and determining to obtain a plurality of times series of photon counts per bin; and forming an image of the object based on the plurality of times series.

The application discloses a kind of based on quantum network's image classification method and system, including obtaining the quantum image classification network and training data set of training completion;Initial coprocessing quantum classifier is constructed and coprocessing quantum classifier is trained;Quantum denoising self-encoder is constructed and Gaussian noise is added in training data set to obtain noisy training data set;Noisy training data set is input to current quantum denoising self-encoder and the gap is calculated;Image output by quantum denoising self-encoder is input into coprocessing quantum classifier and loss is calculated;The quantum denoising self-encoder constructed is trained using gap and loss to obtain trained quantum denoising self-encoder;The anti-noise quantum image classification network of trained quantum denoising self-encoder and the quantum image classification network of training completion is connected in series to obtain, and image classification is carried out.The application not only realizes the image classification based on quantum network, but also has high reliability, good accuracy and good stability.

This invention relates to the field of chaotic system theory and discloses a quantum image encryption algorithm based on chaotic systems and DNA dynamic coding. The algorithm includes a quantum image coding module, a chaotic sequence generation module, a DNA dynamic coding and operation module, and a central control module. The algorithm also integrates a key management unit. By using an enhanced quantum phase representation method to convert classical images into quantum images, and utilizing quantum gate operations controlled by chaotic sequences to achieve quantum scrambling of pixel positions and preliminary diffusion of pixel values, the system can efficiently perform preliminary confusion and perturbation of image information directly at the quantum level, laying a secure preprocessing foundation for subsequent encryption. By using a parallel multi-chaotic system to generate a dynamic key stream and introducing a dynamic perturbation mechanism based on image hash values, the generated key stream has stronger randomness and is dynamically related to the plaintext image content, enhancing its ability to resist security threats.

The invention discloses a multi-dimensional device dismantling risk identification and prevention and control method, and relates to the field of risk identification systems. Comprising the steps of constructing a device information quantum database, formulating a risk prevention and control scheme by using a risk assessment model, and monitoring quantum state change of the device, dynamic evolution of a microstructure and quantum parameter fluctuation in the environment in real time by means of a quantum sensor network. By constructing a quantum database, applying a quantum optimization algorithm, deploying a quantum sensor network and other multi-dimensional quantum technology applications, atomic-scale accurate identification and dynamic prevention and control of the device dismantling risk are realized. Specifically, atomic-scale structure details are obtained by using a quantum imaging technology, a risk assessment model is optimized in combination with a quantum annealing algorithm, and the accuracy and efficiency of risk prediction are significantly improved; based on a protective barrier of a quantum regulation and control principle and a pollutant treatment technology, the quantum tunneling risk is effectively inhibited, and quantum-level decomposition of pollutants is realized.

A method includes obtaining, using a multi-mode image sensor, first image frames and second image frames. The first image frames include image data having a first bit depth, and the second image frames include image data having a second bit depth smaller than the first bit depth. The first image frames are captured using two or more exposure times, and the second image frames are captured using at least one exposure time shorter than the two or more exposure times. At least one of the second image frames is captured in between each consecutive pair of the first image frames. The method also includes providing at least the first image frames to a multi-frame processing (MFP) pipeline and processing at least the first image frames using the MFP pipeline to generate an output image.

The invention discloses an RGB quantum image steganography method based on reinforcement learning. The method comprises the following steps of: performing size alignment and key-driven three-channel scrambling diffusion combined encryption on a secret color image; converting the covered color image and the encrypted secret color image into a quantum color image for representation; constructing a Markov decision process taking the pixel texture features, the residual load proportion and the flip statistics as states, adaptively selecting an embedded channel in a preset action set by adopting a reinforcement learning strategy, and only executing bit-by-bit replacement writing on the LSB of the selected channel to obtain a steganographic image; and the receiving end reproduces the action sequence according to the shared key and the same strategy, extracts the LSB bit stream pixel by pixel from the steganographic image and recovers the secret color image through inverse transformation. According to the method, the perceptible distortion is reduced while the relatively high embedding capacity is kept, and a PSNR analytical expression based on the LSB overturning statistics is given.

A power transmission and transformation project multi-modal data fusion processing method based on image-text quantum transformation comprises the following steps: S1, collecting image and text data related to a power transmission and transformation project to obtain an original data set; s2, constructing an image-oriented parameterized quantum circuit, combining the parameterized quantum circuit with quantum vision Transform to obtain a quantum image converter, and performing feature extraction on all images in the original data set by using the quantum image converter to obtain a quantum enhanced image feature set; s3, constructing a text-oriented parameterized quantum circuit based on a T5 model, combining the text-oriented parameterized quantum circuit with a quantum text Transform to obtain a quantum text converter, and performing feature extraction on all texts in the original data set by using the quantum text converter to obtain a quantum enhanced text feature set; and S4, constructing a multi-modal feature fusion model based on a comparative learning method and cross attention fusion, and fusing the quantum enhanced image feature set and the quantum enhanced text feature set to obtain a final fusion feature set. According to the design, deep enabling is carried out on complex engineering data by utilizing quantum mechanical characteristics, and the robustness of key feature extraction is improved.

The invention discloses an ophthalmology quantum imaging method, system and device and a storage medium. The method comprises the following steps: firstly, acquiring quantum imaging scanning original data in a specified data format; then, the original data are analyzed and processed through a written special image reconstruction program, and a high-resolution and high-contrast eye tissue tomography image is generated; further, an advanced image processing algorithm is adopted to perform noise reduction and enhancement on the image, noise is effectively suppressed, and the signal-to-noise ratio of the image is improved; and finally, implementing three-dimensional reconstruction based on a plurality of cross-sectional images, displaying the three-dimensional structure of the eye tissue, and providing a visual and three-dimensional morphological basis for clinical diagnosis. The invention further comprises a system and device for implementing the method and a storage medium. Based on the quantum imaging technology and the image processing and reconstruction algorithm, high-resolution and high-signal-to-noise-ratio imaging of the eye tissue is achieved, the method is applied to eye quantum imaging, and a more reliable image tool is provided for early diagnosis and physiological research of ophthalmic diseases.

The invention discloses an image classification method and system based on a quantum network. The method comprises the steps of obtaining a trained quantum image classification network and a training data set; constructing an initial co-processing quantum classifier and training to obtain a co-processing quantum classifier; constructing a quantum denoising auto-encoder and adding Gaussian noise in the training data set to obtain a noise-containing training data set; inputting the noise-containing training data set into a current quantum denoising auto-encoder and calculating a gap; inputting an image output by the quantum denoising auto-encoder into a co-processing quantum classifier, and calculating loss; training the constructed quantum de-noising auto-encoder by adopting the difference and the loss to obtain a trained quantum de-noising auto-encoder; and the trained quantum denoising auto-encoder and the trained quantum image classification network are connected in series to obtain an anti-noise quantum image classification network, and image classification is carried out. The method not only realizes image classification based on the quantum network, but also is high in reliability, good in accuracy and good in stability.

The application relates to the technical field of quantum image encryption and discloses a quantum image encryption method based on two-dimensional cross mapping and dynamic diffusion, which is used for solving the problems of small key space, high complexity of image processing algorithm and time-consuming calculation in the prior art image encryption method. The quantum image encryption and decryption method based on two-dimensional cross chaotic mapping and dynamic diffusion generates a chaos sequence related to a plaintext by a two-dimensional cross chaotic system 2D-LAS, converts a classical image into a quantum image by using an NEQR model, performs a bit-level operation on pixel values of the quantum image by using dynamic diffusion, wherein the bit-level operation includes a bit-level shift operation, a bit-level cross XOR shift operation and a bit-level cyclic shift operation, the shuffling process is to cyclically shift the image between rows and columns, and after the shuffling is completed, the image is iteratively XORed, and the pixel is subjected to a diffusion operation, so that the diffusion efficiency is improved.

The invention discloses a quantum neural network based on local region dynamic evolution, belongs to the technical field of quantum calculation and machine learning crossing, provides a quantum multi-classifier based on local region evolution, and aims to provide better capability of fitting complex data for the network. Quantum resources consumed by quantum convolution operation are reduced through local evolution; the network uses quantum Fourier transform to convert picture information stored in color bits from quantum state amplitude to phase, and combines entanglement operation to enhance nonlinear capability; dynamic block evolution is adopted, and resource consumption is reduced under the condition that auxiliary quantum bits are not needed; experiments show that the nonlinear mechanism of the network can provide better expression ability for the network, and the dynamic evolution of the network reduces the consumption of quantum resources. According to the method, an efficient solution is provided for quantum image classification, the requirement of a classification task for performance can be met, and the method can adapt to realistic limitation of a hardware system and balance performance and hardware limitation.

The invention provides a quantum image steganography method based on wavelet transformation, and relates to the technical field of image encryption, and the method is characterized in that the method comprises secret information embedding and secret information extraction, the secret information embedding comprises the following steps: step 1, converting a carrier image and a secret image into corresponding quantum states; 2, carrying out secondary quantum wavelet transform and quantum cosine transform on the carrier image; 3, carrying out security enhancement preprocessing on the quantum state of the secret image; step 4, embedding the processed secret information quantum state into the transform domain carrier quantum state; 5, reconstructing the embedded secret information to obtain a quantum steganography image of a spatial domain; the secret information extraction can obtain corresponding information through reverse engineering processing. The method has the advantages that the overall imaging quality is high, the overall concealment is improved, hidden information is difficult to locate, crack and reconstruct, and the overall malicious crack resistance is improved.

Provided is a quantum imaging device. The device includes a first light source configured to generate first light, a first photon pair generation part configured to generate a first entangled photon pair using the first light, a first beam splitter configured to separate the first entangled photon pair into a first signal idler and a first signal line, a first detector configured to receive the first signal idler, a first mirror configured to provide the first signal line to a target, a second detector configured to receive the first signal line transmitted or reflected to the target, and a signal processor connected to the first and second detectors and configured to obtain a target image by comparing a measurement image with a reference image.