34 results about "Single photon imaging" patented technology

In accordance with some embodiments, systems, methods and media for single-photon imaging with improved energy efficiency are provided. In some embodiments, the system comprises: an image sensor comprising pixels comprising detectors in an array, configured to: generate image data representing a scene, and comprising pixel values based on a signal generated by the respective detector during a first period of time; and a processor configured to: determine, for each pixel, an inhibition value based on the pixel value; determine, based on the inhibition value, that a pixel is to be inhibited during a second period of time; inhibit the pixel such that a pixel value associated with the pixel in second image data is consistent with the pixel being inhibited during a second period of time.

The invention discloses a near-infrared light field three-dimensional imaging system and application, and the system is based on single-photon imaging and comprises an illumination light path and a light field imaging light path. The illumination light path generates an illumination light beam of a near-infrared band, and the illumination light beam is projected on a sample by adopting vertical illumination to excite fluorescence of the sample in a Rayleigh range of the illumination light beam; a light spot in the Rayleigh range of the illumination light beam is elliptical; a galvanometer is arranged in the illumination light path, and a tube lens is arranged between the galvanometer and the objective lens, so that an illumination light beam scans in an imaging view field in parallel to a main optical axis of the objective lens; the light field imaging light path is provided with a microlens array, collects fluorescence emitted by the sample, records the fluorescence direction to obtain light field information, and performs light field three-dimensional imaging on the sample. According to the invention, selective illumination is realized by shaping the illumination beam of the near-infrared band, the imaging quality, the imaging depth and the imaging speed of light field three-dimensional imaging are considered in combination with beam scanning, and the method is suitable for real-time three-dimensional imaging of a living body.

The invention discloses a single-photon three-dimensional imaging method and system based on Fourier correlated imaging. The method comprises the following steps: step 1, generating a series of Fourier stripes after laser pulses irradiate a digital micromirror array; 2, projecting the fringes onto an object, and homogenizing and filtering reflected light through a diffusion sheet and a filter; 3, acquiring a flight time histogram corresponding to each stripe by using a single-photon detector and a counter; and step 4, slicing a plurality of peak values of the histogram to obtain a photon number as a light intensity value for correlation reconstruction, and obtaining images of different depths. As the single-photon detector is easily disturbed by background noise, the background noise can be effectively eliminated by using the Fourier correlation imaging algorithm; the three-dimensional information and the intensity information of the object can be obtained at the same time through histogram partition reconstruction, the problems that an existing single-photon imaging technology is low in efficiency and limited in imaging quality are solved, and complex imaging system design is avoided.

The invention provides a single photon array image data processing method and system based on time correlation, and relates to the technical field of image processing.The method comprises the steps that a photon event sequence with a timestamp and position information is obtained through a detector array, a four-dimensional space-time tensor is constructed, and space-time data is obtained through normalization and noise estimation; performing time sequence analysis on each spatial position and neighborhood in the spatio-temporal data to extract time sequence features, separating target features from the time sequence features, removing noise features and generating a time confidence map; inputting the time confidence map and the spatio-temporal data into a variational optimization model for joint optimization, and dynamically updating a time weight field and a spatial support domain in optimization according to the confidence map to obtain an initial reconstructed image; and finally, inputting the initial reconstructed image and the time confidence map into a neural network, and outputting a final image through modeling and residual path restoration. According to the invention, the signal-to-noise ratio and dynamic scene adaptability of single photon imaging under extremely low illumination are improved.

The invention belongs to the technical field of single-photon imaging laser radars, and discloses a self-adaptive photon denoising three-dimensional imaging method under sparse or strong noise counting, which is used for extracting echo area counting in a self-adaptive manner under different noise conditions and accurately positioning the echo counting according to the specificity degree of a counting value in a neighborhood, so that the accuracy of the echo area counting is improved. Laser flight time is obtained to obtain distance information, and all pixels are traversed and processed to realize accurate reconstruction of a target three-dimensional image. According to the method, the low-signal-background-ratio detection conditions of sparse echo counting and strong noise counting can be adaptively processed, and the method has better adaptability to various different detection environments and detection applications; echo positioning is carried out according to the time domain distribution characteristic difference of echo counting and noise counting in the counting histogram, the method can automatically adapt to the low signal background ratio condition of sparse counting and strong noise counting, and the method has good robustness for noise.

The invention discloses a synchronous signal-based single-photon array underwater detection method and system. The method comprises the following steps of: acquiring single-frame data of a single-photon array as original data; segmenting the data through photon number adaptive segmentation exposure time, and accumulating the segmented data through single-pixel photon arrival time to obtain a plurality of photon histograms; the shapes and features of the photon histograms of different pixels are counted to estimate the target depth and category, and the signal-to-noise ratio is calculated; solving the current environment on the basis of estimated target depth, category and signal-to-noise ratio parameters, updating gating gate width information and shooting data again until the gating gate width does not need to be optimized; and judging a target object by using the solved target depth and an imaging result on the target depth, and outputting a three-dimensional image, a gray image and a distance image of the underwater target. By accurately estimating the depth of the underwater target object, the underwater efficient imaging is realized, and the underwater operation robustness and imaging precision of the single-photon imaging system are enhanced.

In accordance with some embodiments, systems, methods and media for single-photon imaging with improved energy efficiency are provided. In some embodiments, the system comprises: an image sensor comprising pixels comprising detectors in an array, configured to: generate image data representing a scene, and comprising pixel values based on a signal generated by the respective detector during a first period of time; and a processor configured to: determine, for each pixel, an inhibition value based on the pixel value; determine, based on the inhibition value, that a pixel is to be inhibited during a second period of time; inhibit the pixel such that a pixel value associated with the pixel in second image data is consistent with the pixel being inhibited during a second period of time.

The utility model belongs to the technical field of infrared detection and imaging, and particularly relates to an intermediate infrared single-photon imaging system. In order to solve the problems of low infrared detection efficiency, low sensitivity, easy background interference, incapability of long-distance imaging and the like in the prior art, 4mu m infrared light collected by a telescope system is transformed and shaped by a shaping lens group to obtain light spots with uniform area, and the light spots enter an up-conversion module. The 1064nm laser in the up-conversion module and the collected infrared light coincide in light path and then enter the PPLN crystal 6 together to achieve the up-conversion process, and then 840nm sum frequency light is obtained. And imaging the obtained sum frequency light through a CCD (Charge Coupled Device) or a single photon array detector.

The invention provides a single photon reconstruction method and device and electronic equipment, and relates to the technical field of single photon imaging, and the method comprises the steps: obtaining a photon distribution observation value, and constructing a photon counting model according to the photon distribution observation value; a negative Poisson maximum likelihood function is used as a loss function, the photon counting model is optimized, and an optimized constraint form is determined; determining a sub-problem of a photon counting model according to the loss function and the optimized constraint form; carrying out secondary iteration solution on the sub-problems to obtain photon distribution under the target ideal condition; according to the method, the depth image and the intensity image are generated according to the photon distribution under the target ideal condition, so that short-distance and long-distance adaptive rapid imaging can be realized, the denoising effect can be effectively improved, and more accurate three-dimensional space distribution of photons can be statistically realized.

The application discloses a kind of superconducting single-photon imaging circuit and method based on capacitance feedback, adopt lens and optical fiber as optical alignment system, the light to be measured from outside is converged to superconducting nanowire single-photon detector (abbreviation SNSPD) photosensitive area;Array superconducting nanowire single-photon detector is used as photoelectric converter, and the light signal is detected and converted into electrical signal;Imaging circuit based on capacitance feedback transimpedance amplifier (abbreviation CTIA) is used, and the electrical signal of each pixel response of array SNSPD is integrated respectively, and the integral voltage of response is obtained, finally, according to the integral voltage value of each pixel of array SNSPD, a gray scale image is obtained.

1. Name of the product in this design: Graphical User Interface for Long-Range Single-Photon Imaging Radar Application Software for Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design features of this product are its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: The graphical user interface of this product is used to display the intensity map, depth map, three-dimensional imaging and single-photon count value status of distant targets, control the single-photon imaging process, set parameters and query, and analyze single-photon imaging performance. 7. Other situations requiring explanation: Other explanation: The electronic device is an existing design, and other views are omitted.

The invention provides a single-photon imaging data and physiological behavior data analysis method and system, and the system comprises a single-photon imaging module which is used for obtaining a fluorescence signal excited by the brain of a target object based on a single-photon detector, and converting the fluorescence signal into single-photon imaging data; the behavior monitoring module is used for acquiring behavior data of the target object; the synchronous control module is used for realizing time synchronization of the single-photon imaging data and the behavior data; and the data processing and storage module is used for processing and storing the single-photon imaging data and the behavior data in real time.

The application discloses a kind of depth-intensity joint optimization light weight SPAD neural network reconstruction methods, belong to single-photon imaging and depth learning technical field, including: based on wavelet transform to the original histogram data of SPAD array is carried out multistage wavelet decomposition, obtain compressed time-frequency domain data;Utilize multiscale superpixel to carry out non-maximum suppression, and obtain estimated depth map by voting mechanism;Local histogram is extracted from compressed time-frequency domain data, and sum along time dimension obtains intensity map;The estimated depth map is expanded, and expanded depth map is obtained;The double-branch complementary depth reconstruction network including depth branch, edge branch and perception interaction module is constructed;Real depth map and real edge gradient map are used to guide network, and training is carried out using joint loss function, to realize light weight SPAD neural network reconstruction.The method significantly improves the depth reconstruction accuracy under low illumination while greatly reducing the amount of calculation.

An imaging system having one or more single-photon detectors is configured to enable rapid switching between different operational modes. The imaging system includes a reprogrammable controller communicatively coupled to one or more single-photon detectors and to a host computer device via a high-speed data link. In operation, the one or more single-photon detectors are operated according to a first operational mode. A reprogrammable logic device of the controller is then reconfigured to operate the one or more single-photon detectors in a second operational mode without requiring changes to the overall hardware configuration / setup of the imaging system.

A spiking neural network system for single-photon imaging is disclosed. The system comprises: a light source for emitting a series of light pulses, one pulse per repetition period, for repeatedly illuminating one or more objects; a single-photon detector for detecting photons received from the one or more objects; a ring circuit connected to the single-photon detector, the ring circuit comprising a set of delay elements connected to one another thereby forming a ring structure, a respective delay element is configured to store a spike received from the single-photon detector, the ring circuit being configured to repeatedly rotate the spikes through the delay elements, a respective spike making a full rotation of the ring circuit in one rotation period such that the ring circuit is synchronized with the light source; a read-out circuit for reading out the spikes stored in the delay elements while maintaining the differences of arrival times of the spikes in the ring circuit; and a spiking neural network configured to receive the spikes from the read-out circuit to generate an image of the one or more objects.

1. The name of the design product: near-infrared free-running detector. 2. The use of the design product: can detect weak light at the single photon level, can be used in single photon laser radar, quantum key distribution, single photon imaging, fluorescence detection and other single photon detection fields. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The disclosure pertains to circuitry that is configured to: obtain a sequence of image data samples captured by a single photon imaging sensor; determine, based on the sequence of image data samples, a flux frequency component of a light source; and determine a segment in an image based on the determined flux frequency component of the light source.

The invention discloses a self-adaptive gating data acquisition method applied to a single photon array, and the method comprises the following steps: collecting an original data frame of a sensor detection target, and carrying out the preprocessing of the original data frame; judging the validity of the preprocessed data, and if the data is invalid, updating the collected array gating configuration; and if the data is valid, the collection is successful, and the valid data is visualized and exported. According to the method, data validity is discriminated in real time, when photon saturation caused by high luminous flux is detected, gating delay time of a next acquisition period is calculated and updated autonomously by using a decision algorithm based on reinforcement learning training, and an acquisition task in a high dynamic range is decomposed into multi-order sequential acquisition. By constructing intelligent closed-loop control, the system can automatically adapt to different illumination conditions, the stacking effect is effectively avoided, high-quality and distortionless single-photon three-dimensional imaging data can be stably obtained without manual intervention, and the application range of the single-photon imaging technology is remarkably expanded.

The present invention discloses a method for restoring imaging distortion of a superconducting nanowire single-photon imager, comprising: constructing a superconducting nanowire single-photon detector with separate detection units and delay units, and connecting delay lines in series between adjacent detection units; extracting N real pixel data from the original photon detection data to obtain a real pixel image, and extracting N-1 virtual pixel data to obtain a virtual pixel image; interpolating multi-photon detection data of N-2 real pixels by taking the average of adjacent pixels of the N-1 pixel data of the virtual pixel image, inserting the first pixel data of the virtual pixel data before the first data of the N-2 multi-photon data, and inserting the last pixel data of the virtual pixel data after the last data, to form an N-pixel multi-photon interpolation image; and subtracting the multi-photon interpolation image from the real pixel image to obtain a restored image. This method can solve the problem of single-photon imaging distortion of superconducting nanowire single-photon imagers.

The invention discloses a self-adaptive defogging and real-time imaging method based on a single-photon array, and the method comprises the following steps: updating foggy object photon counting histogram data through employing original binary data obtained from a single-photon camera collection card, solving and updating foggy object distribution and signal-to-noise ratio parameters, estimating a single-pixel signal state code, and carrying out the self-adaptive defogging and real-time imaging. Sending a sampling and visual updating instruction; and according to the instruction, generating a depth map and an intensity map of the target area by using the current histogram data, calculating related physical parameters, and performing real-time visualization. According to the method, the fog distribution parameters can be accurately estimated, efficient defogging imaging under the dynamic change fog concentration is achieved, the robustness and the photon efficiency of the single-photon imaging system in the fog environment are enhanced, and the reliability of the single-photon imaging system in all-weather application is improved.

This invention relates to the field of satellite optoelectronic measurement and sensing technology, and particularly to a thermal management device and method for space optoelectronic imaging elements on satellites. The thermal management device includes a bracket, a metal shell, a circuit board, a secondary TEC cooling assembly, a heat sink, micro heat pipes, and a heat transfer fixing plate. Cooling is achieved through the secondary TEC cooling assembly, which is connected in series with the heat sink, micro heat pipes, and the satellite cabin's thermostatic plate. The heat sink, micro heat pipes, and heat transfer fixing plate form an integrated heat conduction chain. A large heat pipe is pre-embedded inside the satellite cabin's thermostatic plate, and heat is dissipated from the heat transfer fixing plate through internal working fluid circulation, completing the entire process of thermal management for the optoelectronic imaging element. This achieves thermal management and miniaturized design for large-area single-photon imaging elements. The heat transfer fixing plate provides the thermal management device with resistance to the space mechanical environment, making it suitable for aerospace engineering applications. The overall thermal management process is simple, convenient to operate, and provides reliable thermal management results.

A kernel mode and user mode data processing method for an integrated single-photon imaging system belongs to the technical field of optical imaging, optical signals are modulated through rapid tilt of a tiny mirror surface in a digital micromirror device, meanwhile, high-resolution image display is achieved in cooperation with an array type single-photon detector, a master controller carries a Linux operating system, and a kernel mode and a user mode are integrated. And the processor is connected with the digital micro-mirror device and the array type single-photon detector and is used for sending control and synchronization signals. The method comprises the steps that a preset mask pattern is collected in a user mode, the mask pattern is projected according to preset projection parameters, collected data and a synchronizing signal of an array type single-photon detector are transmitted to a kernel mode, a single channel or multiple channels are selected for processing according to the kernel space occupancy rate, and the kernel space occupancy rate of the array type single-photon detector is obtained. And photon data and specific synchronization data during mask projection are processed in a user mode, so that efficient data reconstruction and imaging are realized. According to the invention, the problem of real-time processing of collected special data by the single-photon laser radar system is solved, the integration and reliability of the system can be enhanced, and the application field of the system is expanded.

The present application relates to the technical field of photon imaging, in particular to a single-photon post-selection Monte Carlo photon number imaging method. The present application provides a single-photon post-selection Monte Carlo photon number imaging method, comprising: determining reflectivity of a target to be measured and a reference plate respectively; dividing a space where the target to be measured is located into a plurality of spatial grids; shooting a pair of single photons in an entangled state to one of the spatial grids and the reference plate respectively according to a preset number of times to obtain average photon numbers of the spatial grids; assigning values to the spatial grids according to the average photon numbers; and imaging according to the assigned values of the spatial grids. The present application provides a single-photon post-selection Monte Carlo photon number imaging method, which can improve single-photon imaging capability.

The application discloses a kind of depth-intensity joint optimization light weight SPAD neural network reconstruction methods, belong to single-photon imaging and depth learning technical field, including: based on wavelet transform to the original histogram data of SPAD array is carried out multistage wavelet decomposition, obtain compressed time-frequency domain data;Utilize multiscale superpixel to carry out non-maximum suppression, and obtain estimated depth map by voting mechanism;Local histogram is extracted from compressed time-frequency domain data, and sum along time dimension obtains intensity map;The estimated depth map is expanded, and expanded depth map is obtained;The double-branch complementary depth reconstruction network including depth branch, edge branch and perception interaction module is constructed;Real depth map and real edge gradient map are used to guide network, and training is carried out using joint loss function, to realize light weight SPAD neural network reconstruction.The method significantly improves the depth reconstruction accuracy under low illumination while greatly reducing the amount of calculation.

The invention discloses a long-distance terahertz single-photon radar imaging method, electronic equipment and a storage medium. The method comprises the following steps: acquiring one-dimensional single-photon echoes of a plurality of groups of target scenes and corresponding three-dimensional depth images as a training data set; constructing and training a long-distance single-photon imaging neural network model by taking the one-dimensional single-photon echo as input and the corresponding three-dimensional depth image as output; and inputting the one-dimensional single-photon echo of the scene to be detected into the long-distance single-photon imaging neural network model, and outputting a three-dimensional depth image of the scene to be detected. According to the technical scheme of the invention, the one-dimensional single-photon echo of the target scene and the corresponding three-dimensional depth image are acquired as the training data set, the long-distance single-photon imaging neural network model is constructed and trained, and the one-dimensional single-photon echo of the scene to be detected is inputted into the trained neural network model. And outputting the three-dimensional depth image of the to-be-detected scene. The target three-dimensional depth information is accurately restored in a long-distance scene.

The invention discloses a high-reliability detection single-photon imaging radar based on quantum enhancement and a target recognition device. The high-reliability detection single-photon imaging radar comprises a laser radar host and a display, the laser radar host further comprises a pulse string laser emitting unit, a laser receiving and detecting unit, an optical antenna and scanning unit and an information processing and image recognition unit. According to the invention, by adopting pseudo-random code pulse emission and a single-photon detection system, the reliability of target detection is greatly enhanced; by adopting a mode of combining signal processing, target feature recognition and an image processor, not only can a three-dimensional point cloud image of a traditional laser radar be obtained, but also a typical type of target can be recognized, and scene application can be directly carried out. The single-photon imaging radar not only has the characteristics of high space-time resolution and long-distance detection of the traditional single-photon imaging radar, but also solves the problem that the traditional single-photon detection is easily interfered by background light.

A time-stamped single-photon imaging method includes: acquiring a single-frame binary image containing timestamps by collecting sparse photons transmitted through a sample; obtaining an estimate of the spatial coordinates of the incident photons through PSF fitting and centroid averaging; obtaining an initial reconstructed image containing an estimate of the average photon number through timestamp reconstruction; and obtaining a final reconstructed image through denoising and optimization processing. This invention records the arrival time of photon events, reconstructs a probability distribution image of photons using a timestamp algorithm, and optimizes the image through post-processing algorithms such as position calibration and filtering / denoising to obtain a clear low-light imaging result.

The application provides a kind of cascade imaging system, comprising: detector module, cascade photon coincidence module and image reconstruction module;The detector module includes two opposite detectors;Two the object to be imaged is accommodated between the detector;The detector is gamma ray position sensitive detector, two the detector has time coincidence function;Without collimator;The detector module is used to realize single photon imaging and the data acquisition of cascade gamma photon coincidence imaging;The cascade photon coincidence module is used to determine cascade coincidence gamma photon pair by time window;The image reconstruction module is electrically connected with the detector module and the cascade photon coincidence module, for completing corresponding image reconstruction based on the data collected by the detector module.The application can simultaneously collect single photon and cascade photon coincidence information, without using collimator, greatly improving the sensitivity of the system, so that the image imaging quality is higher.

The invention discloses a convolutional spiking neural network recognition system and method for high-dynamic single-photon imaging, and the system comprises a photon event compression module which carries out the sparse processing and event flow reconstruction of a continuous photon trigger sequence in a high-dynamic range, so as to reduce the data bandwidth and highlight the effective photon trigger information; the counting pulse time conversion module is used for mapping the compressed photon event sequence to a time domain feature so as to realize unified expression of high photon flow and low photon flow conditions; the common-mode noise suppression module is used for filtering noise and intercepting effective data in a time domain; the pipelined convolution pulse operation module is used for performing efficient feature extraction on the preprocessed photon event data; and the storage module is used for storing the convolution weight and the neuron membrane potential required in the convolution operation module. According to the invention, real-time feature extraction with low resource consumption can be realized under a high-dynamic photon event condition, and SPAD image processing and intelligent identification performance can be improved.

The invention provides a single-photon reconstruction method and device and electronic equipment, and relates to the technical field of single-photon imaging, and the method comprises the steps: collecting a photon true value, and simulating and generating a training set according to the photon true value, the training set comprising a photon simulation value; inputting the photon simulation value into a denoising module and a reconstruction module constructed based on an attention mechanism in a deep learning network model for training to obtain a reconstructed point cloud; inputting the reconstructed point cloud into an auxiliary training model of a deep learning network model to obtain a photon prediction value; and calculating the loss of the deep learning network model and adjusting the network parameters of the deep learning network model based on the photon predicted value and the photon true value so as to obtain the trained deep learning network model, so that rapid imaging with higher resolution and higher precision can be realized, and the operation speed is greatly improved.