481 results about "Background light" patented technology

Disclosed in the present invention is a salient contour matching-based method for target measurement in a severe imaging environment. The method specifically comprises: (1) acquiring a binocular image of a target; (2) establishing a global-local joint constraint-based background light estimation model, and removing a scattering effect of a medium in an imaging environment to obtain a restored left eye image and a restored right eye image; (3) learning an original image, and on the basis of a residual between a network reconstructed image and the original image, obtaining target localization prediction maps of the left eye image and the right eye image; and (4) respectively extracting contour lines of the target in the left eye image and the right eye image, constructing feature matching descriptors of contour points, performing stereo matching on the two sets of contour lines by minimizing matching cost, and performing three-dimensional reconstruction on the contour lines in light of calibrated intrinsic and extrinsic parameters to complete the measurement of a key size. According to the present invention, the key sizes of different targets in a severe environment can be accurately measured, thereby providing an effective solution for the problem of measuring the sizes of targets in a severe environment.

The invention discloses a transformer oil leakage detection method and device based on polarization-ultraviolet fusion imaging, and the device comprises a housing, a support, a camera, an environment induction device, an overall controller, a power supply, a polaroid rotating wheel assembly, a lens seat assembly, and an image processor. And the motor driver, the illumination intensity sensor, the ultraviolet irradiance sensor, the image processor and the power supply are electrically connected with the integral controller respectively. According to the invention, a multi-angle polarization image and a non-polarization image in the same field of view can be acquired, and then polarization characteristics contained in an oil stain fluorescence signal are extracted and effectively distinguished from non-polarization characteristics of background light; in the daytime mode, the transformer oil leakage detection device can identify a target area with relatively high polarization intensity, and through image fusion enhancement processing, non-target background signals are significantly suppressed, and the fluorescence significance of an oil leakage characteristic area is improved.

The invention discloses an underwater image de-scattering method, system and device for scattering field decoupling in the technical field of underwater optical imaging and computer vision, and the method comprises the steps: calculating an intensity graph and a scene linear polarization degree graph according to an obtained multi-scale underwater image; according to the intensity image, performing image signal decomposition by using a dynamically constrained background light separation model to obtain a background scattering component and a target feature component; according to the scene linear polarization degree map and the background scattering component, calculating fusion transmissivity according to a non-linear optical transmission equation; carrying out noise suppression processing on the fusion transmissivity by adopting a double-constraint optimization architecture to obtain the fusion transmissivity subjected to noise suppression processing; and performing image reconstruction through a reverse optical propagation model according to the fusion transmissivity and the target feature component subjected to noise suppression processing to obtain a scattering-removed underwater image. The method effectively breaks through the dependence of a traditional method on the uniform hypothesis of a scattered field, and provides high-precision visual restoration support for an underwater detection task.

The invention discloses an LED (Light Emitting Diode) energy-saving street lamp system self-adaptive to an ambient light effect and an illumination adjusting method thereof, and belongs to the technical field of novel illumination control and green energy conservation. The system comprises a light environment sensing module, a traffic flow monitoring module, an LED driving power supply and an electroluminescent illumination module composed of a plurality of light emitting diodes. The main control module is configured to execute active lighting effect decoupling logic, namely, when the electroluminescent lighting module keeps steady-state lighting, the driving power supply is controlled to inject a micro-disturbance modulation signal which cannot be perceived by human vision into output current, and illuminance response data of the light environment perception module are synchronously collected; the road surface reflectivity coupling coefficient is obtained in real time by calculating the change ratio of the response data to the modulation signal, then the reflected light component excited by the street lamp itself is accurately removed from the total illumination value, and the pure environment background illumination is decoupled. The problems of misoperation and energy waste caused by self-luminous interference of a traditional light-operated street lamp are solved.

Systems and methods are provided for time resolution of signals produced by the emission of energy. More particularly, systems and methods are provided for measuring distance using photons propagating in a scattering medium to produce multi-dimensional, measurements of objects in a media and / or the media itself by virtue of the character of light spatially scattered and absorbed in the media resulting from the transmission of light into the media, such transmitted light having some temporal character that distinguishes it from background light, e.g., ambient sources. A method for obtaining terrestrial LiDAR data generally includes: providing a LiDAR system moving traverse to a ground canopy; emitting light pulses from the LiDAR system toward the ground canopy and terrain such that the light pulses reflect therefrom; and receiving the reflected light pulses at the LiDAR system; wherein the LiDAR system includes a monolithic module comprising a photonic device, a sampling module, a digitizing module, and a readout integrated circuit (ROIC).

The invention discloses a step refractive index fiber endoscopic bending microscopic imaging loss recovery method and device. The method comprises the following steps: s1, searching and removing an image loss part in a step refractive index fiber endoscope scanning image; s2, image restoration: carrying out feature matching on the two displacement pictures processed in the step s1 to calculate x-direction and y-direction displacements of the two images, and then aligning and fusing the two images in a Poisson fusion mode to repair image loss parts; and s3, background denoising: estimating transmissivity by calculating a dark channel and a background illumination value, and denoising the image according to the transmissivity to obtain a denoised image. According to the method, through frequency domain low-pass filtering and feature matching fusion, lost image center information is successfully recovered, image center details are effectively recovered, and image recovery can be realized through processing of an imaged image.

The utility model provides a metasurface type speckle projector and depth detection equipment, which can realize a speckle projection function based on a light source array by using a metasurface and avoid the problem of zero-order bright spots or stronger background light generally existing when a diffractive optical element is used. The metasurface type speckle projector comprises a light source array used for emitting a plurality of conical light beams arranged in an array; the light modulation element has positive focal power, is arranged on the light emitting side of the light source array and is used for collecting the conical light beams from the light source array; and the metasurface element is arranged on one side, far away from the light source array, of the light modulation element and is used for regulating and controlling the light beams gathered by the light modulation element so as to form a plurality of collimated light beams projected towards different directions.

The invention discloses a space-time fringe analysis method based on physical prior guidance. The method comprises the following steps: firstly, acquiring a stripe sequence taking a target frame as a center, and separating background light through a background estimation network to obtain background light intensity; then, under the assumption of constant brightness and small displacement, an optical flow pixel alignment module is used for estimating inter-frame optical flow, and sub-pixel-level registration is carried out on the subsequences; and finally, inputting the alignment sequence into Attention U-Net with an attention mechanism to carry out space-time phase demodulation, and outputting a target frame phase. And then phase unwrapping is carried out, and three-dimensional reconstruction is completed in combination with system calibration parameters. In the training stage, a space-time consistency loss function and a frequency domain consistency loss function are introduced to improve the generalization ability. The method has high phase demodulation precision and time sequence stability in a low signal-to-noise ratio and fast motion scene, and is suitable for high-speed three-dimensional measurement engineering application.

The invention discloses an underwater image degradation diffusion self-supervised enhancement model and a building and training method, and relates to the technical field of underwater image enhancement. The invention provides an underwater image degradation diffusion self-supervised enhancement model and a building and training method for the problem of target detection performance reduction caused by underwater image quality degradation, the model built by the method is combined with the differential thought of a Koschmieder illumination scattering degradation model and a diffusion model, the degradation process of a real underwater environment is simulated, and the target detection performance is improved. Self-supervised training data is generated, dependence of a traditional method on manual annotation data is avoided, image features are extracted through a ResNet50 backbone network, global background light and transmission rate are predicted in parallel, a clear image is reversely recovered by using a physical formula, transmission rate consistency loss, background light consistency loss and reconstruction loss are also proposed, an unsupervised optimization target is constructed, and the self-supervised training data is obtained. And the accuracy and stability of model training are ensured.

The invention discloses a ranging communication fusion miniaturized system and method based on single photon detection. The system adopts a time division multiplexing common-path structure, and a ranging pulse sequence and a communication pulse sequence are sequentially transmitted in the same detection period to form a PPM modulation laser pulse chain. A single-photon detector is adopted to receive signals, background light interference is suppressed by combining a narrow-band filter and a time gating technology, and the type and boundary of a pulse sequence are identified through a signal demodulation and discrimination module. When the distance measurement pulse sequence is identified, the distance measurement path realizes distance measurement based on the round-trip time of the distance measurement pulse in the period; when a communication pulse sequence is identified, the communication path demodulates the PPM communication data. The method effectively decouples the contradiction between the distance measurement fuzzy and the communication rate, supports communication pulse high repetition frequency modulation while realizing non-fuzzy distance measurement, improves the distance measurement precision and the communication rate, and is suitable for free space communication, mobile robot platforms and other application scenes.

A visible light communication apparatus comprising: multiple sources, at least one source being a light source configured to transmit a data signal; and a receiver comprising a polarizer, operating in a visible light spectrum, the receiver configured to receive visible light energy from the one or more sources; the polarizer configured to filter multiple noise signals and allow the data signal to pass through to the receiver. Allows more signal light than background light to reach the sensor, the polarizer improves signal to noise ratio for outdoor visible light communication.

The invention discloses a gas leakage detection imaging device and method based on a single photon detection technology, and belongs to the technical field of gas detection and imaging. Aiming at the limitation problems of the existing gas leakage detection technology in the aspects of sensitivity, response speed, space imaging capability and anti-interference capability, nanosecond modulation control and synchronous photon counting are realized by utilizing an FPGA (Field Programmable Gate Array) through a visual gas detection imaging device combining an SPAD (Single Program Amplifier) array detector and a WMS modulation-demodulation mechanism; and the second harmonic of the absorption signal is further extracted by combining digital phase-locked amplification, so that gas leakage three-dimensional imaging with high spatial resolution, ppb-level sensitivity, strong background suppression capability and high time response is realized. The system has the advantages of high detection sensitivity, real-time imaging capability with high spatial resolution, high background light interference resistance and high signal-to-noise ratio, the demodulation method is novel, and the modular design has multi-gas compatibility and system expansibility.

The utility model discloses a display module and a household appliance display panel with double-layer diaphragms matched for display, and belongs to the technical field of display panels, the display module comprises a first diaphragm and a second diaphragm, the first diaphragm is located on the lower layer in the light source projection direction, the second diaphragm is located on the upper layer in the light source projection direction, and after the first diaphragm and the second diaphragm are matched with a light source, the first diaphragm and the second diaphragm are matched. The display module only displays the background image-text and the function key image-text. According to the utility model, the two diaphragms, the two groups of light guide plates and the double-layer diaphragm are matched to realize the display of images and texts, the upper light guide plate and the diaphragm realize the slight brightness and constant brightness of background light, and the lower light guide plate realizes the highlight of the images and texts corresponding to the area when the touch key area is operated, so that the operation of a user is more convenient. The background light sources and the touch key light sources on the upper layer and the lower layer are independently controlled, and the light guide plate is arranged in a double-layer mode, so that background images and texts and function key images and texts do not affect each other, and display of the background images and texts and the function key images and texts is attractive and striking.

An LCD display unit for a reflection display system in a motor vehicle includes an LCD pixel matrix for selectively controlling picture elements for presenting a display image on a display area; a backlight arrangement, which is divided into selectively controllable dimming zones in order to illuminate regions containing multiple picture elements with background light; and a control unit, which is configured to control the LCD pixel matrix so that the display image is output, the display image being distorted using a warping function in order to compensate for a distortion of the display image as a result of reflection from a reflection region. The dimming zones have a shape and a size determined by the warping function.

The invention discloses a scattering characteristic adaptive polarization imaging non-uniform fog transmission method, which comprises the following steps of: acquiring polarization images at different angles, and calculating Stokes vectors, linear polarization degrees and dual-channel polarization intensity images of the images; constructing a non-uniform fog scattering feature, and estimating a dual-channel non-uniform scattering intensity image; estimating background light at infinity, and calculating a dual-channel polarization intensity transmissivity image; constructing an attenuation matrix of the polarization dual-channel variable-scale degradation model; a polarization dual-channel variable-scale degradation imaging model is constructed, and preliminary restoration of a dual-channel non-uniform fog scene is solved; and iterating the optimal polarization variable-scale degradation matrix to obtain a final restored image of the fogless scene. According to the scattering feature self-adaptive polarization imaging non-uniform fog transmitting method, the problems of overexposure and the like caused by target polarization information loss in a non-uniform fog scene are solved, complete removal of global non-uniform fog of the scene is realized, and target scene information is restored more clearly.

The invention discloses a deep learning method for uniform background light and shadow based on a Transform model. The method comprises the steps that an input image and a corresponding portrait main body mask are acquired, and the input image comprises an area with uneven background light and shadow; preprocessing the input image and the portrait main body mask, including image standardization and feature fusion, to obtain a fused feature map; based on a patch segmentation method, converting the fusion feature map into sequence features; encoding the sequence features to output enhanced sequence features, modeling a light and shadow distribution dependency relationship of full image pixels through a global attention mechanism, and distinguishing portrait main body features and background features based on the portrait main body mask; and based on the inverse logic of patch segmentation, recovering the enhanced sequence features into a spatial feature graph and the like. According to the method, semantic mask prior, global context modeling and adaptive residual correction are organically integrated, and a solution is provided for solving the core problem in background light and shadow homogenization.

The invention discloses an underwater image restoration method based on polarization imaging and low-frequency filtering, and the method comprises the steps: S1, collecting polarization images of different turbid water bodies at three angles through an underwater polarization imaging experiment platform, and calculating a Stokes vector of an underwater target scene; s2, calculating a polarization degree and a polarization angle image of an underwater target scene according to the Stokes vector, and establishing a target light model according to a relation of polarization information; s3, based on the low-frequency characteristics of the background light, extracting low-frequency background light components of the turbid polarization image at each angle, and calculating a corresponding background light Stokes vector according to the low-frequency background light components; and S4, the processed parameters are substituted into the imaging model, and the optimal cut-off frequency of the filter is adaptively determined in combination with enhanced measurement evaluation indexes, so that high-quality underwater image restoration is realized. According to the method, texture features and edge details of more target areas can be effectively restored.

The invention provides a light emitting device, a light detection device and a laser radar. The light emitting device comprises a laser array comprising a plurality of lasers, the plurality of lasers are arranged in a linear array or an area array, the lasers in the laser array are configured to output emission signals, and the emission signals are transmitted along an emission light path; the first optical assembly is arranged on the emission light path and configured with an equivalent focal length larger than a first preset value, the first optical assembly comprises a first main lens group unit and a first micro lens group unit, and the first preset value is the focal length of the first main lens group unit; wherein the equivalent focal length of the first optical assembly is M times, Mgt, of the focal length of the first main lens group unit; 1; the first micro lens group unit is arranged between the laser array and the first main lens group unit. The power density in the point cloud field angle area is improved through the arrangement of the first optical assembly of the light emitting device, and the background light noise power in the point cloud field angle area is reduced based on the arrangement of the second optical assembly of the light detection device, so that the distance measurement capability of the radar is improved.

The invention provides a physical guidance-based sparse coding-driven underwater image enhancement method, a program, equipment and a storage medium. The method comprises the following steps: constructing a physical guidance preprocessing method based on a Jaffe-McGammy model, and adaptively estimating an underwater transmission image and background light to realize preliminary degradation recovery; elastic regularization sparse coding is adopted, and through sparsity and smoothness combined constraint, salient structure information such as edges and textures of the image is effectively extracted, so that the image definition and the detail recovery capability are enhanced; cross-channel attention fusion is adopted, a multi-scale context modeling and channel interaction mechanism is introduced, and a physical degradation graph is combined for guidance, so that color consistency and semantic expression integrity between channels are remarkably improved, and the problems of color shift and information loss in an existing method are solved. According to the method, through joint optimization of multiple loss functions, the constructed underwater image enhancement network keeps the illumination accuracy, texture continuity and structural integrity of the image in multiple dimensions at the same time.

According to the chemical material detection method and system based on deep learning provided by the invention, the online adaptive training generative adversarial network BR-GAN is introduced, and the generator can dynamically learn background optical feature mapping under the fine tuning condition of production process parameters; meanwhile, a multi-layer convolution discriminator is used for recognizing time correlation of background optical features, so that a defect-free background reconstruction image matched with the current production condition can be generated, and a difference image is generated by calculating pixel-level residual errors and feature-level attention differences of a real-time image and the reconstruction background; microscopic bubble signals are effectively separated from complex backgrounds changing along with technological parameters, and the effect of accurately detecting microscopic bubbles is achieved.

The utility model relates to the technical field of biological detection, and discloses a bioluminescence detector which comprises a bottom plate, a reagent rack and a luminescence detection module, the reagent rack and the luminescence detection module are arranged on the bottom plate, the reagent rack is connected with a kit in a sliding manner, a light filtering assembly is arranged above the kit, the light filtering assembly is provided with a plurality of light filters for selecting light waves, and the light filtering assembly is connected with the luminescence detection module. The luminous detection module detects an optical signal in the kit through the optical filter; the whole structure is compact, optical signals of non-target wavelengths can be removed and background light interference can be reduced by using the optical filters, so that the purity of the detection signals is improved, the light emitting detection module can detect the optical signals of the target wavelengths in a more targeted manner, and the accuracy of the detection result is enhanced; the appropriate filtering wave band can be selected according to different types of chemical agent reactions to meet different detection requirements, the application range of the detector is expanded, and the detector can be suitable for various bioluminescence reactions.

The invention relates to the technical field of image processing, and discloses a method and system for switching backgrounds in batches to form a new image based on a convolutional neural network, and the method comprises the steps: carrying out the analysis of a cartoon image, obtaining a foreground segmentation mask and a foreground material feature tensor, carrying out the analysis of a target background image, and obtaining a background illumination feature vector; dynamic light and shadow interaction between a cartoon foreground and a new background is simulated by constructing a double-medium light interaction field, fine fusion of an edge region is realized in combination with an edge transmission matrix, the problem of visual splitting caused by light and shadow interaction deficiency in background switching of a traditional convolutional neural network is solved, and meanwhile, through a light and shadow residual image correction mechanism, the dynamic light and shadow interaction between the cartoon foreground and the new background is corrected. The illumination consistency is further optimized, the fusion matching degree of the cartoon image and various real or virtual scenes is remarkably improved, the diversified marketing scenes can be efficiently adapted through a batch processing mode, and the batch replacement requirement is met while the visual naturalness is guaranteed.

The invention belongs to the technical field of microobjective optical design, and provides a long-working-distance flat-field apochromatic microobjective capable of forming phase difference, so as to solve the technical problem that an existing microobjective is poor in imaging effect on a transparent sample, a switchable phase ring with a coating film is arranged at a rear focal plane and used for delaying the light wave phase of the sample, and the imaging effect of the sample is improved. Phase difference is formed by interference with background light; the optical system is sequentially and coaxially provided with a first balsaming lens, a third lens, a second balsaming lens, a seventh lens and an eighth lens from the image space to the object space along the optical axis, and the focal lengths of the lenses meet the condition that fG1 / f is larger than-6 and smaller than 0; 0 < fG2 / f < 6; 0 < f3 / f < 10; 0 < f7 / f < 3; and f8 / f is greater than 0 and less than 10, so that a working distance of 3.0 mm and system resolution are ensured, secondary spectral aberration can be corrected to realize apochromatic, the field curvature defect of an optical system is overcome, the imaging quality of the field edge is improved, and the optical system can be applied to the technical fields of bioengineering and medicine.

The invention relates to the technical field of computer vision, and discloses a dynamic four-dimensional content generation method and device based on a single image, equipment and a medium, and the method comprises the steps: generating a corresponding multi-view image set based on an input single static image; constructing a static three-dimensional scene representation model based on the multi-view image set; converting the static three-dimensional scene representation model into a dynamic four-dimensional scene representation model; performing time consistency optimization processing on the dynamic four-dimensional scene representation model to generate a dynamic frame sequence coherent in time dimension; and background illumination controllable editing processing is carried out on the dynamic frame sequence after time consistency optimization processing, and final editable dynamic four-dimensional content is generated. According to the method and the device, the three-dimensional model is constructed by utilizing the multi-view image set and is further converted into the dynamic four-dimensional model, so that the problems of insufficient multi-view image continuity and unstable dynamic details in time dimension in the prior art are solved, and the reality sense of dynamic contents and the user experience are improved.

The utility model provides a cathode plate detection device, which is characterized in that infrared detection sensors are arranged on two sides of the plate surface of a cathode plate at a cathode plate detection station, the detection directions of the infrared detection sensors point to the plate surface of the cathode plate, and detection points of the infrared detection sensors are uniformly distributed in a matrix form; and a camera detector and a background light projector are further arranged on the two sides of the plate surface of the negative plate, the positions and postures of the edge covering strips are detected through cooperation of the camera detector and the background light projector, it is guaranteed that the negative plate meets the operation standard, and the qualified rate of the negative plate return groove electrolysis production starting plate is indirectly increased.

The invention belongs to the technical field of gas detection, and particularly relates to a method for inhibiting background light intensity fluctuation influence by a laser gas sensor, which comprises the following steps of: fitting a background baseline by using an unabsorbed part in a zero-order harmonic signal by acquiring an nth-order harmonic signal and a zero-order harmonic signal of a reference gas chamber; 1-(zero-order harmonic signal / background baseline) to obtain zero-order harmonics with background light intensity eliminated, and the maximum value of the zero-order harmonics is obtained; obtaining a light intensity calibration value through (the peak-to-peak value or peak value of the nth harmonic signal) / (the maximum value of the zero harmonic of the background light intensity eliminated); the method comprises the following steps: acquiring a k-order harmonic signal of a measurement gas chamber, obtaining a peak-to-peak value or a peak value of the k-order harmonic signal, and a peak-to-peak value or a peak value / light intensity calibration value of the k-order harmonic signal, and obtaining a calibration-free output signal, thereby solving the problems that the output accuracy is influenced by the change of background light intensity of a tunable semiconductor laser absorption spectrum gas sensor in the prior art; and manual calibration is needed.

The invention belongs to the technical field of image processing, and particularly relates to a physical prior guidance-based interpretable underwater image enhancement method, which comprises the following steps of: constructing a physical prior guidance-based diffusion model which comprises a high-frequency prior generation branch and a physical information perception diffusion model enhancement branch; in the high-frequency prior generation branch, firstly, an input underwater image is decomposed by using a Laplacian pyramid to obtain a multi-scale high-frequency feature map, the multi-scale high-frequency feature map is integrated with an original feature map extracted from the underwater image, and then a transmission map, a global background light map and a defogged clear underwater image are generated by combining an atmospheric scattering model; the diffusion model enhancement branch of physical information perception comprises a cross attention module and a diffusion model, and the diffusion model guides the diffusion process through the cross attention module by using a physical attribute graph to obtain an enhanced image. According to the method, the high-frequency information of the underwater image and the original image features are fused, and the internal relation between different scale features is enhanced, so that the semantic consistency of feature representation is improved.

The invention discloses an image processing system and method suitable for a turbid water area, and belongs to the technical field of image processing. The system comprises an underwater camera component for collecting original image data of a turbid water area in real time and an embedded image processing unit. The embedded image processing unit comprises a preprocessing module used for carrying out noise suppression and image calibration processing on original image data, and a physical parameter estimation module used for estimating environment background light intensity of a current water area, a water body attenuation coefficient and a distance map of an object in a scene and calculating initial transmissivity. The scattering correction module is used for removing back scattering and preliminarily compensating a color channel based on a physical imaging model in combination with physical parameters, and the deep learning enhancement module is used for improving image local contrast, adjusting brightness and finely correcting colors by adopting a lightweight deep convolutional neural network. According to the image processing system and method suitable for the turbid water area, the image definition and color of the turbid water area can be improved, the real-time performance is high, and the system and method are suitable for different water area environments.

The invention discloses an underwater polarization difference fusion imaging method based on angle optimization. Belongs to the technical field of underwater polarization, and particularly relates to the technical field of underwater polarization image enhancement. The method comprises the following steps: firstly, analyzing a relationship between an optimal weight coefficient and an image enhancement measure (EME) value based on Stokes vector difference, and calculating a background light polarization angle based on the optimal weight coefficient; secondly, obtaining polarization images in two optimal orthogonal directions by combining a polaroid Mueller matrix, and carrying out differential processing; and finally, selecting a proper weight factor, and carrying out weighted fusion on the obtained polarization difference image and the intensity image to obtain a final clear image.

The invention provides a self-supervised multi-task underwater image restoration method based on an underwater imaging model, and the method comprises the following steps: carrying out the color cast correction of an underwater image collected by an underwater robot through an adaptive color balance algorithm, and obtaining an image after the color cast correction; obtaining the transmissivity of the image after the color cast correction through a transmissivity estimation network; enabling the image after color cast correction to pass through a background light estimation network to obtain background light; enabling the image after color cast correction to pass through a clear image reconstruction network to obtain a reconstructed clear image; and the background light and the transmissivity of the reconstructed clear image are synthesized through a Jaffe-McGammery underwater imaging model, and training is carried out in a self-supervision mode to obtain a final enhanced image. According to the method, an end-to-end self-supervised learning architecture is adopted, network training can be completed without large-scale annotation of a data set, the method has the advantages of low training cost and high generalization ability, and efficient image restoration can be realized in a complex and changeable underwater environment.