58 results about "Gain coefficient" patented technology

The invention relates to the technical field of image enhancement, in particular to a turbid water fish image enhancement system based on image enhancement, which comprises an attenuation feature layering module used for acquiring a turbid water fish image, extracting a color attenuation value and a local contrast value of each pixel point, and outputting the color attenuation value and the local contrast value; and calculating the pixel attenuation degree influenced by the suspended matters in the water body and the background scattered light to obtain a pixel attenuation distribution diagram, and setting a plurality of attenuation thresholds. According to the method, a turbid image is divided into a plurality of layers such as a foreground, a middle scene and a background by calculating a color attenuation value and a local contrast ratio of each pixel influenced by suspended matters in a water body and scattered light, and then differential gain coefficients are applied to extracted initial details such as fish scale and fin textures according to the layers to carry out injection; high-fidelity enhancement of a key foreground target is realized, and excessive sharpening and noise amplification of a background area are avoided.

The present application relates to the technical field of image processing, more particularly, the present application relates to a kind of cable production process real-time monitoring method and system, comprising: the image sequence of cable is collected, each frame of image in the image sequence is carried out optical enhancement processing, comprising: each frame of image is carried out low-pass filtering and obtains reflection structure model, each frame of image and the reflection structure model are carried out pixel level division operation and obtain the anti-reflection light enhancement image;The local information entropy of each pixel point in the anti-reflection light enhancement image is calculated, the luminance value of the anti-reflection light enhancement image is multiplied by the gain coefficient based on the local information entropy, and the final optical enhancement image is obtained.The present application is judged by comprehensive intensity, cross-frame stability and area and other multidimensional information, effectively excludes instantaneous interference such as flash noise, significantly reduces false positive rate and miss rate, and greatly improves the detection precision of micro defect.

The present application relates to the technical field of defect detection, in particular to a polypropylene film defect detection method, device and system. A polypropylene film multi-row pixel point fringe image is obtained and stored in a row-level buffer, and is processed by frequency domain and signal analysis to obtain a refractive phase diagram, a fringe density diagram and a transmittance diagram; a crystal point defect forms an optical micro-lens effect, and has a high-frequency local frequency mutation on the fringe image; the fringe density diagram is filtered and compared to obtain a micro-lens distortion diagram, thereby improving the sensitivity of the defect detection; a dynamic gain coefficient is calculated by using a low-frequency density diagram and a refractive phase diagram data dynamic response relationship, and an anti-shake phase diagram is corrected by modifying the refractive phase diagram; a target row phase curvature diagram is calculated by analyzing the difference between different row anti-shake phase diagrams, thereby revealing the bending condition of the film surface; finally, the target row transmittance diagram, the phase curvature diagram and the micro-lens distortion diagram are fused to detect defects, thereby improving the detection accuracy and comprehensiveness.

The utility model provides a kind of photoelectric sensor particle detection device and equipment based on double channel detection, it is related to optical particle detection technical field.The device sensor sampling circuit output end is connected with sampling signal distribution circuit input end;Sampling signal distribution circuit first output end is connected with first signal gain circuit input end, and second output end is connected with second signal gain circuit input end;First signal gain circuit output end is connected with first analog-digital conversion circuit input end;Second signal gain circuit output end is connected with second analog-digital conversion circuit input end;The gain coefficient of first signal gain circuit is greater than second signal gain circuit;The output end of first analog-digital conversion circuit and second analog-digital conversion circuit is connected with digital signal processing circuit.The utility model can make signal pass through different gain amplifier, double ADC sampling, make one way channel satisfy small particle measurement, another way satisfies large particle measurement, and the electrical signal of larger particle and smaller particle can be considered.

The application relates to the technical field of electric machines, and particularly discloses an electric machine driving and control anti-interference method and system based on an isolator, which can accurately perceive the space-time distribution characteristics of the ground potential difference by constructing a global potential difference dynamic matrix in real time and calculating the common-mode voltage drift amount; based on this, the system no longer maintains the fixed working state of the isolator, but iteratively optimizes the bias current and the gain coefficient of the photoelectric isolator according to the real-time common-mode voltage drift amount, and dynamically reconstructs the transmission parameters; so that the isolator always works in the optimal linear region, effectively avoids signal saturation or cutoff distortion caused by ground potential difference fluctuation, and fundamentally solves the problem that the fixed working point cannot adapt to dynamic common-mode interference.

The application discloses an intelligent imaging generation system and method, which realizes closed-loop control of spraying quality by real-time linkage adjustment of spraying mechanical arm and imaging equipment parameters through a dynamic parameter adjustment module, and combines a defect prediction and optimization decision module and a multi-modal process knowledge base. The system integrates a high-resolution visual sensor, a capacitive thickness detector and a temperature and humidity sensor, fuses multi-source data by using a Kalman filtering algorithm, and dynamically adjusts the speed of the mechanical arm, the nozzle pressure and the imaging gain coefficient. The defect prediction module simulates coating defect morphology based on a physically constrained generative adversarial network and generates a process optimization instruction set through reinforcement learning. The multi-modal process knowledge base stores an associated model of material characteristics, environmental data and defect patterns, supports incremental learning and historical data decay update. Through dynamic parameter collaborative optimization, defect prediction prepositioning and multi-modal data fusion, the spraying quality detection efficiency and coating consistency are improved, and the rework rate is reduced.

The invention discloses a landscape lighting intelligent adjusting system based on tone and motion state fusion analysis, and relates to the technical field of digital information processing. The method is used for solving the problems of multi-modal data logic conflict and control signal step. The method comprises the following steps: firstly, executing frequency domain transformation and differential operation on acquired space-time sequence data to generate normalized tone and motion intensity; then, calculating a cooperative gain coefficient and a dispersion index, and quantifying a scene active level and a data deviation; then, calculating a credibility weight based on the dispersion, and executing fusion iterative operation on a preset parameter and a historical state to generate a target control parameter; and finally, generating a pulse width modulation digital sequence in smooth transition by using a linear interpolation algorithm, and outputting a control instruction. According to the system, high-reliability fusion of multi-source data and adaptive smoothing of lighting effect control are realized.

The application relates to the technical field of laser intersatellite link communication ranging, and provides an optimization method and device for improving the ranging precision of a laser intersatellite communication ranging link, which comprises the following steps: acquiring sampling data of a photoelectric detection signal of the laser intersatellite communication ranging link in real time; performing interpolation recovery on the sampling data according to current loop interpolation parameters; performing clock phase error phase discrimination on the interpolation recovery data, wherein the phase discrimination gain coefficient needs to be corrected through real-time amplitude monitoring of the interpolation recovery data; filtering the clock phase error phase discrimination result; updating the loop interpolation parameters and the super-resolution code phase accurate ranging result by using the filtered clock phase error phase discrimination result; and extracting the super-resolution code phase accurate ranging result. The application can correct the phase discrimination gain coefficient in real time through real-time monitoring of the amplitude change, so that the ranging precision does not change with the amplitude change of the received light signal, and the ranging precision under the dynamic amplitude change working condition of the laser intersatellite link is improved.

The invention relates to the technical field of defect detection, in particular to a polypropylene film defect detection method, equipment and system. Acquiring a plurality of rows of pixel point fringe images of the polypropylene film, storing the fringe images into a row-level buffer area, and performing frequency domain processing and signal analysis to obtain a refraction phase diagram, a fringe density diagram and a transmittance diagram; a crystal point defect forms an optical micro-lens effect, a high-frequency local frequency mutation expression exists on a fringe image, filtering is performed on a fringe density map, differences are compared to obtain a micro-lens distortion map, and the detection sensitivity of the defect is improved; calculating a dynamic gain coefficient by using a dynamic response relationship between the low-frequency density map and the refraction phase diagram data, and correcting the refraction phase diagram to obtain an anti-jitter phase diagram; analyzing the difference of the anti-jitter phase diagrams of different rows to calculate a target row phase curvature diagram, and revealing the surface bending condition of the thin film; and finally, fusing the target row transmittance diagram, the phase curvature diagram and the micro-lens distortion diagram to detect defects, thereby improving the detection accuracy and comprehensiveness.

The embodiment of the invention discloses a display device and a control method of the display device, and relates to the technical field of display, the display device comprises a liquid crystal panel, a backlight module and a control module, the control module determines a target pixel feature corresponding to a first pixel according to a first image signal corresponding to the first pixel, the method comprises the steps of acquiring a simulation backlight signal corresponding to a first pixel, determining a target backlight feature corresponding to the first pixel according to the simulation backlight signal corresponding to the first pixel, determining a target gain coefficient corresponding to the first pixel based on the target backlight feature and a target pixel feature, and determining a second image signal according to the target gain coefficient and a first image signal corresponding to the first pixel. And according to the second image signal, each sub-pixel in the first pixel is driven to be started, so that each sub-pixel in the first pixel is coordinated and matched with the backlight color corresponding to the first pixel, the display brightness of the display equipment is improved, meanwhile, saturation reduction is avoided, and the display effect of the display equipment is improved.

This invention discloses a method for analyzing soft X-ray gain phenomena in trapped ions and the cavity type of the X-ray laser, mainly relating to the field of soft X-ray gain phenomena. The method includes: S1, calculating the small-signal gain coefficient α of the X-ray gain medium to obtain numerical information about the gain coefficient α; S2, the above calculation in S1 requires simulating ion source conditions, selecting different electron densities and incident electron energy points; S3, considering the differences between the ion source and the plasma environment, calculating the small-signal gain coefficient at the center frequency; and S4, analyzing the obtained data. The beneficial effects of this invention are: through the X-ray resonant cavity structure, the output beam can achieve high coherence and good beam quality similar to conventional lasers. It supports high repetition rates and even continuous wave operation, and through continuous collisional excitation and ion reuse in ultra-high vacuum, it eliminates the dependence on driving lasers and target materials, thereby improving peak gain.

The invention relates to the technical field of image recognition, in particular to an examination abnormal behavior recognition method based on AI and computer vision, and the method comprises the steps: collecting an examinee behavior image, and sequentially carrying out the target detection, posture analysis and time sequence feature extraction, so as to obtain behavior features; the initial model is trained to obtain a behavior recognition model, and abnormal behavior warning information is obtained through multi-dimensional analysis of the behavior recognition model; obtaining the error rate of abnormal behavior alarm in unit time, and determining whether the recognition accuracy meets the requirement or not; if not, determining whether a core feature pixel gradient threshold in the behavior features is increased or not; if not, acquiring the feature point offset of the behavior image to determine the acquisition validity of the behavior image; if not, determining whether to increase the adaptive segmentation gain coefficient of the behavior image; and if not, determining a dynamic calibration consistency threshold value of the behavior characteristics based on the highlight area proportion of the behavior image. According to the invention, the identification accuracy of the examination abnormal behavior is improved.

This invention relates to the field of low-light image enhancement technology, and more particularly to a deep learning method for low-light image enhancement based on channel attention. First, for the input low-light image, a pixel illumination estimation module is fed into it for feature extraction. After gain estimation, the illumination adjustment coefficient required for each pixel is adjusted to obtain the gain coefficient for each pixel. The extracted features are multiplied by the gain coefficient to obtain a preliminary illumination map. The obtained preliminary illumination map is then fed into a channel attention block, which enhances the structural and pattern information in important channels and performs noise reduction. The results of the channel attention block are input into a fine-tuning module, which fuses and fine-tunes the features of different receptive fields with the original features to obtain the final features. The obtained features are then subjected to convolution, activation, and other operations. The low-light image and the normal illumination image are supervised using the L1 loss function and the similarity loss function, ultimately resulting in a high-precision normal illumination image.

The application is suitable for the technical field of display screens, and provides a color deviation correction method, device, equipment and readable storage medium. The color deviation correction method specifically comprises: obtaining a display image obtained by a first acquisition device shooting a first display screen, the display image comprising at least one image region, each image region corresponding to a display sub-region of the first display screen, and each display sub-region forming a deflection angle with the first acquisition device; determining current optical information of each image region; determining a gain coefficient of the corresponding deflection angle according to target optical information and the current optical information of each image region, the gain coefficient being used for color deviation correction of an image collected by a second acquisition device or an image displayed by a second display screen. The embodiment of the application can improve the efficiency of color deviation correction.

The application relates to a method for processing muon detection data of a triangular prism scintillator. S1: obtaining uncorrected energy deposition information and uncorrected hit position of each muon event in each layer detection unit; S2: based on the actual structure parameters of the detector, performing geometric correction on the traditional centroid algorithm; S3: based on the statistical relationship between the energy deposition of the muon in the scintillator and the track length, establishing a signal channel gain coefficient model, and correcting the energy response of each detection channel; S4: based on the fitting results of the muon track length and the energy of each channel, determining the energy consistency standard, and performing rejection processing on the muon events determined as abnormal; S5: performing muon track reconstruction and imaging, evaluating the position resolution of the detector, and if the convergence condition is reached, ending, otherwise returning to S2 for iteration. The technical scheme can improve the muon track reconstruction accuracy and imaging quality through geometric structure correction, energy correction and abnormal energy event screening.

The application relates to the technical field of image processing, in particular to a cast cooling temperature field reconstruction method and system based on an infrared thermal image. The method comprises the following steps: acquiring a first infrared thermal image of a cast in a cooling process, and performing truncation processing on the first infrared thermal image to obtain a second infrared thermal image; constructing a gray scale gradient vector of a neighborhood pixel of a target pixel point in the second infrared thermal image, and determining a position vector from the neighborhood pixel to the target pixel point to determine a geometric convergence index of the target pixel point; determining a local energy aggregation degree of the target pixel point according to a gray scale extreme value in the neighborhood, determining a mutual radiation gain coefficient of the target pixel point according to the geometric convergence index, the local energy aggregation degree and a reflection coupling coefficient of a surface of the cast, and obtaining surface temperature information of the cast according to the mutual radiation gain coefficient. Through the above technical scheme, the temperature field of the cast in the cooling process can be more accurately reconstructed.

This invention discloses a wellbore calculation method and related apparatus based on a micro-resistivity scanning imaging logging tool, belonging to the field of petroleum logging technology. The method acquires data from the magnetoresistive sensor array in the micro-resistivity scanning imaging logging tool, first predicts the displacement offset at time K, then calculates the optimal estimate of the displacement offset at time K using the displacement offset at time K, the measured value, and the gain coefficient, and repeats this process cyclically to complete the displacement offset prediction. After predicting the measured value at the current time, the offset prediction calculation is performed segment by segment to obtain the final magnet displacement, and then the wellbore data is calculated. This invention effectively corrects the nonlinear error of the sensor matrix without changing the existing hardware structure, improving the resolution and accuracy of wellbore measurement.

The invention provides a multispectral camera radiance responsivity calibration device and method. The device comprises an integrating sphere, a multispectral camera, a three-dimensional adjusting mechanism, a control system and a data acquisition system. The integrating sphere is used for generating uniform spectral radiation brightness; the multispectral camera is used for image acquisition; the three-dimensional adjusting mechanism is used for moving the multispectral camera; the control system is used for controlling the spectrum output brightness of the integrating sphere and controlling the operation of the three-dimensional adjusting mechanism; and the data acquisition system is used for acquiring and storing image data of each channel of the multispectral camera. According to the invention, the multi-spectral camera pixel-by-pixel radiance responsivity calibration method which can be used under all exposure time and gain coefficient conditions is obtained from the measurement signal and exposure time of the multi-spectral camera and the emergent radiance of the integrating sphere; on the premise of ensuring the accuracy of the radiance responsivity calibration of the multispectral camera, the workload can be effectively reduced, and the calibration working efficiency is improved.

The embodiment of the invention discloses a point cloud correction method, computer equipment and a computer readable storage medium. The method comprises steps that a point cloud data set of forward and reverse scanning of a target plane by a laser radar is acquired, the point cloud data set comprises multiple frames of point clouds, a target gain coefficient is determined based on the point cloud data set, and the target gain coefficient is used for controlling distortion of the laser radar correction point clouds in a slow axis scanning direction; and controlling the laser radar to execute point cloud correction operation based on the target gain coefficient. According to the embodiment of the invention, the target gain coefficient can be determined based on the point cloud data set obtained through positive and negative scanning, so that the laser radar employs the target gain coefficient to correct the distortion of the point cloud in the slow-axis scanning direction, improves the layering condition of the point cloud during the positive and negative scanning of the laser, facilitates the improvement of the calculation precision of the point cloud, and improves the calculation efficiency. The problem of point cloud quality reduction caused by device feedback errors and the like is solved, and the precision and the stability of the point cloud are improved.

The application belongs to the technical field of image processing, and discloses a color adaptation driving white balance correction method and device suitable for a single light source, electronic equipment and a storage medium, which can improve the accuracy of image white balance correction. The method specifically comprises the following steps: using a characteristic matrix and a cone response transformation matrix of an image acquisition device, converting chrominance values of a captured image and chrominance values of an ambient light source into image LMS cone response and ambient light source LMS cone response values respectively; calculating a gain coefficient of each cone channel based on the ambient light source LMS cone response value and a reference light source LMS cone response value; using the gain coefficient and the image LMS cone response, calculating corresponding colors of the captured image under the reference light source; and using an inverse matrix of the characteristic matrix and the cone response transformation matrix, converting the corresponding colors to realize white balance correction of the captured image.

This invention relates to the field of optoelectronic payload imaging control technology, specifically providing an adaptive continuously variable gain target tracking control method and system for optoelectronic payloads. The method includes: acquiring an image of the tracked target; calculating the miss distance between the tracked target and the image center; calculating the error angle using the miss distance; constructing a nonlinear continuously variable gain function using the miss distance, wherein the nonlinear continuously variable gain function is a globally continuous, differentiable, and piecewise-free odd function, and the odd function includes a constant gain coefficient and a smoothing constant coefficient; and generating a control signal using the nonlinear continuously variable gain function, which is used to drive a motor to move the line of sight. This invention constructs a nonlinear continuously variable gain function with the image miss distance as the input variable, dynamically mapping the miss distance to real-time gain parameters, thereby achieving closed-loop adaptive gain adjustment of the optoelectronic payload frame.

The present application relates to the technical field of laser heat treatment, in particular to a 3D printing laser power real-time closed-loop control method and system, which separates processing laser and thermal radiation signals by using coaxial dichroic reflection elements, extracts multi-band characteristic signals representing three-dimensional morphology and thermal gradient of the molten pool, and performs dynamic light compensation according to the welding surface geometric characteristics. Through spatial filtering and adaptive threshold operator, combined with cross-sectional profile boundary constraint, shadow and highlight noise formed by powder splashing are filtered out, and normalized molten pool characteristic image is obtained. The liquid-solid phase boundary is located, and the instantaneous movement vector of the laser beam and the spatial normal inclination angle are coupled, the characteristic size of the molten pool orthogonal to the scanning track is dynamically calculated. By comparing the target size and introducing the feedforward gain coefficient based on the edge distance of the forming point, nonlinear thermal field compensation and heat treatment regulation are carried out, and power correction instructions are generated. The accumulation of molten droplets and edge spheroidization caused by overheating in the thin-walled area are effectively suppressed, and the geometric distortion induced by welding thermal stress is reduced.

The invention discloses an optical noise suppression difference method for an atom magnetometer, which belongs to the technical field of magnetic field measurement and weak signal detection, and comprises the following steps of: after acquiring double-optical-path optical signals of a main path and a reference path and converting the double-optical-path optical signals into voltage signals, separating alternating-current and direct-current components of the two paths of signals; the method comprises the following steps: respectively modulating and demodulating alternating current components of a main path and a reference path to obtain a main path demodulation signal containing magnetic field information and optical noise and a reference path demodulation signal only containing the optical noise, then calculating a dynamic gain coefficient based on two paths of direct current components, offsetting the optical noise through weighted difference operation, and outputting an effective magnetic field signal. According to the optical noise suppression difference method for the atom magnetometer, variable light intensity noise is effectively stripped, clinical landing enabling is carried out on the wearable SERF magnetometer, complex optical elements are not needed, interference resistance and adaptation integration are achieved, and the real-time measurement requirement of biological magnetic signals is met.

The invention discloses a method for adjusting ultra-high contrast accurate partition array backlight, and relates to the field of liquid crystal display backlight control. The method comprises the following steps: firstly, generating initial target brightness of a backlight partition based on image content statistics, and calculating a simulated receiving light field containing neighborhood crosstalk by using a pre-constructed optical diffusion weight matrix; on the basis of the deviation between the simulated light field and the target brightness, calculating a correction gain coefficient by using a nonlinear formula containing a halo suppression factor, and adaptively adjusting the suppression intensity in combination with a boundary brightness gradient; and generating a driving signal through time domain smoothing and nonlinear mapping, and reversely compensating the liquid crystal transmittance. Through accurate light field simulation and nonlinear correction, the problems of halo effect and brightness distortion generally existing in the traditional partition backlight technology are effectively solved, and the contrast ratio and uniformity of a display picture are remarkably improved.

The invention discloses a wind generating set rotating speed stability control method and system based on far and near wind speeds. The method comprises the steps that a near-point wind speed signal and a far-point wind speed signal in front of an impeller of a wind generating set are obtained through a laser radar; the measurement distance of the near-point wind speed signal is fixed, and the measurement distance of the far-point wind speed signal is dynamically and adaptively determined according to the real-time wind condition of the wind field; then dynamically calculating a near-point weight coefficient and a far-point weight coefficient, carrying out weighted fusion on the near-point wind speed signal and the far-point wind speed signal to obtain a fused wind speed, and solving a fused wind speed change rate; solving a feed-forward gain coefficient based on an empirical method, and calculating a blade angle feed-forward superposition amount; and superposing the paddle angle feed-forward superposition quantity with a traditional feedback control output signal to generate a paddle angle command for control. A precise wind field model is not needed, parameter setting is easy and convenient, rotating speed fluctuation can be effectively restrained, power pulsation is reduced, the pitch frequency is reduced, the unit operation stability is improved, and the method is suitable for complex turbulent wind conditions.

The application provides an image processing method and system, a color image acquisition method and a storage medium. The image processing method comprises the following steps: acquiring current color channel gray scale images of a calibration board collected by a black-and-white camera under red, green and blue light sources, respectively; calculating an initial gain coefficient of each channel gray scale image relative to a target gray scale; if there is discrete adjustment, calculating a residual error after the discrete adjustment as a digital gain based on the number of the discrete adjustment; otherwise, taking the initial gain coefficient as the digital gain, so that the black-and-white camera reaches white balance, and a corrected image of each channel is acquired. Based on the black-and-white camera and the red, green and blue light sources, the application realizes effective balance of colors in an early stage (a photoelectric conversion stage) of signal acquisition, thereby maximizing the use of the dynamic range of the image sensor, minimizing the rear-end noise, and improving the color restoration accuracy.

This invention discloses a channel gain correction method and system for a multi-channel detector, relating to the field of nuclear radiation detection technology. The method includes: acquiring raw event data using a multi-channel detector; determining the energy of all channels triggered by the same event based on the action time; calculating the total energy value for each event using the energy of its respective channels, statistically analyzing all events to construct the total energy spectrum of the channel events, and setting an energy filtering window based on the position of the photoelectric peak in the total energy spectrum, retaining events within the energy filtering window as the valid event set; using an iterative algorithm to correct the channel gain coefficients, and monitoring the energy resolution in real time until convergence; applying the finally obtained gain coefficients to perform channel-level gain compensation on all raw event data, and outputting and displaying the corrected energy spectrum and gain distribution map. Gain correction can significantly improve the energy resolution and position resolution of the detector, enhancing the system's imaging quality and quantitative accuracy.

The invention discloses an X-ray image enhancement method and device, equipment, a medium and a product. The method comprises the following steps: calculating the gray scale contrast of a target X-ray image; if the gray scale contrast meets the enhancement condition, stretching the gray scale to a first gray scale range; calculating a dark light gain coefficient according to the average gray scale, and performing brightness enhancement processing on the target X-ray image according to the dark light gain coefficient; normalizing the gray scale to a second gray scale range, calculating the standard deviation of the target X-ray image, and carrying out bilateral filtering processing on the target X-ray image; and obtaining a first enhanced image of the target X-ray image according to the standard deviation and the bilateral filtering result. According to the scheme, the problems of time dependence and motion artifacts caused by image enhancement based on multiple frames of X-ray images are solved, high dynamic range enhancement of a single frame of X-ray image is realized by performing gray scale stretching, brightness enhancement and contrast enhancement on the X-ray image, and the resource utilization rate can be improved while the image processing complexity can be reduced.

A method for applying illumination correction for an optical computer mouse, includes: flashing a light source of the mouse directed towards a surface; accumulating voltage on a pixel array of the mouse to obtain raw pixel values of an image frame in response to detecting light reflected from the surface; applying analog correction to the raw pixel values based on digital gain coefficients to obtain an array of corrected pixel values forming corrected image data; digitizing the corrected image data with an analog-to-digital converter to obtain digital pixel values forming digital image data; and updating the digital gain coefficients so that a gain coefficient corresponding to a digital pixel value is incremented if the digital pixel value is below or equal to a given pixel threshold value, and so that the gain coefficient is decremented if the digital pixel value is above the given pixel threshold value.

A device and method for measuring the SBS gain coefficient of an optical fiber system are disclosed. The device includes a single-frequency fiber laser source, a phase modulation system, an optical fiber amplifier, a circulator, an optical fiber splitter, an optical fiber adjustable attenuator, a photodetector, an oscilloscope, the optical fiber system under test (ODT), and an isolator. This invention obtains the SBS build-up time constant under different injected laser powers by measuring the SBS transient response excited by the ODT at Port 3 of the optical fiber splitter and by fitting the SBS build-up process using an exponential function. Based on the relationship between the SBS build-up time constant and the laser power, the SBS gain coefficient of the ODT optical fiber system can be obtained.