141 results about "Ghost imaging" patented technology

A preferred embodiment comprises a method and system for (a) detecting objects or targets which may or may not be nonreflective to electromagnetic radiation, and / or (b) generating an image of a subject or area, comprising generating an entangled photon pair beam; splitting the entangled photon pair beam into first and second parts; the first parts being directed in a first direction towards a first location, and the second parts being received into a measuring device; measuring the physical characteristics of the conjugate second parts to determine whether or not the first parts have encountered the presence or absence of an object at the first location in combination with the time that the first part takes to enter the first location. The method and system incorporate a photon beam in a reference path that never directly interacts with the object yet is determinative of presence or absence of an object at the first location. The splitting of the entangled photon pair beam occurs prior to the first parts being absorbed by said object, and the measuring of the characteristics of the conjugates occurs subsequent to the splitting of the entangled photon beam.

The invention relates to a compressing three-dimension calculation ghost imaging system. The system comprises a light source, a spatial light modulator, at least four sets of convergence light receiving lenses, at least four sets of point detectors corresponding to the convergence light receiving lenses and an algorithm module. Light emitted by the light source is projected on the spatial light modulator, the spatial light modulator modulates the light randomly, the modulated light is projected on an object, the object reflects the light in different directions, and one set of convergence light receiving lens and point detector are arranged in each of at least four reflecting directions. Total light intensity in all the directions are compressed and sampled by the point detectors, a compressing and sampling result is input into the algorithm module, the processes of the compression and sampling of the total light intensity and the input of the result are repeated for many times, the spatial light modulator modulates different patterns every time, the algorithm module inverts a two-dimension image corresponding to the direction of each point detector by the application of the compressed sensing algorithm according to a measurement matrix and the measurement results obtained by the repeated compression and sampling, the information of shadow parts of the images is compared to construct a three-dimension surface gradient, and finally a three-dimension object shape is reconstructed.

The invention relates to a two-dimensional compression ghost imaging system based on coincidence measurement. The two-dimensional compression ghost imaging system comprises a laser, rotating frosted glass, an object, a spatial light modulator, a first set of convergent optical absorption lens, a second set of convergent optical absorption lens, a first point detector, a second point detector, a coincidence measurement circuit and an algorithm module, wherein laser emitted by the laser irradiates the frosted glass to produce pseudo calorescence which is divided into an object arm optical path and a reference arm optical path; on the object arm optical path, an optical field of the pseudo calorescence is spread to the object, and the total light intensity is collected through the first set of convergent optical absorption lens and the first point detector; on the reference arm optical path, the optical field of the pseudo calorescence is spread to the spatial light modulator, and after modulation, the total light intensity is collected through the second set of convergent optical absorption lens and the second point detector; the coincidence measurement circuit is used for carrying out coincidence measurement on the total light intensity of the object arm optical path and the reference arm optical path and outputting coincidence measurement values, and the algorithm module is used for reconstructing the distribution of spatial correlation coefficients according to a measurement matrix and the measurement values by applying a compression perception algorithm.

The invention provides a Fourier overlapping correlation imaging system and method based on computational ghost imaging. The system comprises a spatial filter, a spatial light modulator, an imaging module, a high speed light sensitive array, a processing module which is used for calculating the image of the corresponding position of each single pixel detector and using the image as the low-resolution image of tilted plane wave illumination whose light source is the single pixel detector, and a calculation module. The calculation module is used for carrying out Fourier transforming on the low-resolution image to acquire the move and low-pass filter of a spectrum corresponding to a target high-resolution image at the incident angle and the numerical aperture of the objective lens, splicing the overlapped relevant parts of the spectrum of the low-resolution image to acquire the spectrum of the target high-resolution image, and using a phase recovery algorithm to acquire the target high-resolution image. According to the invention, the image acquisition efficiency of the whole imaging system can be improved; measurement of a wider spectrum than an ordinary array sensor is realized; compression reconstruction of an image is realized; and the rate of single imaging is improved.

The invention relates to a ghost imaging method and a ghost imaging system based on a bionic vision mechanism, and belongs to the photoelectric imaging field. A laser source, a collimating lens, a rotary frosted glass, and a spectroscope are respectively disposed on the same optical path sequentially. The laser source, the collimating lens, and the rotary frosted glass are used to generate parallel pseu-dothermal light required by the ghost imaging. The spectroscope is used to divide the pseu-dothermal light into two optical paths, and reflection light is a reference arm optical path, and transmission light is a detection arm optical path. The light intensity distribution of the reference arm optical path is received by a bionic detector array, and pseu-dothermal light source two-dimensional light intensity distribution information is completed. After the light of the detection arm is irradiated on a target, the light is reflected, and then the light is reflected by the spectroscope, and the reflection light total light intensity is received by a barrel detector, and the target reflection light total light intensity information acquisition is completed. A related arithmetic unit is used for the operation of the information acquired by the bionic detector array and the barrel detector. The bionic variable resolution detector array is adopted, and large visual field, high resolution imaging and fast imaging are realized at the same time.

The invention discloses an underwater target detecting device based on a ghost imaging calculation principle. The device comprises a random light source, a beam splitter, a barrel detector and a data processing unit. A random light emitted by the random light source is split by the beam splitter to irradiate an object to be imaged. A signal light reflected by the object to be imaged comes into the barrel detector. The data processing unit transmits the signal of the barrel detector and the random light source to a light intensity distribution value at the same optical path of the barrel detector for second-order correlation calculation to acquire the image of the object to be imaged. The device provided by the invention can resist disturbance, is less susceptible to seawater temperature, salinity change and water flow velocity, and has the advantages of high resolution, high image quality and the like compared with existing various underwater target detection methods.

The invention discloses a liquid crystal phased array ghost imaging system and an imaging method thereof, belonging to the field of photoelectric imaging. The liquid crystal phased array ghost imagingsystem disclosed by the invention comprises a laser, a collimating lens, a digital micro-mirror device DMD, a spatial light modulator SLM, a single-pixel detector, an FPGA main control circuit, a first lens group and a second lens group. A modulation matrix module is used for controlling the work of the digital micro-mirror device and the spatial light modulator. A laser trigger module is used for controlling the working state of the laser. A coincidence calculation module is used for computing imaging. The first lens group is used for focusing. The second lens group is used for converging light beams. The invention further discloses a liquid crystal phased array ghost imaging method which is implemented based on the liquid crystal phased array ghost imaging system. The structure of the liquid crystal phased array ghost imaging system can be simplified under the condition that a speckle light field of a required structure is obtained. The system and the method have the advantages of flexible form and high imaging efficiency.

The invention relates to a digital holography ghost imaging system by adopting a single-pixel or bucket detector and a working method thereof. The system comprises a digital holography recording unit, a hologram writing / reading unit, a computational ghost imaging unit and a system control and signal processing unit, wherein the digital holography recording unit generates a hologram of a target object and the hologram serves as writing light to be written in the hologram writing / reading unit; and the computational ghost imaging unit generates structured light which can be dynamically refreshed and carries reference matrix encoding information, and the structured light serves as reading light to read the hologram, and the hologram is received by the single-pixel or bucket detector. The method of the invention combines the ghost imaging and the digital holography, and the problems that the size of the target surface of a plane array photoelectric detector and the resolution are insufficient and plane array photoelectric detectors of certain wave bands are hard to make as a result of limitations such as the material and the technology in the digital holography technology applications can be solved.

The invention discloses a high resolution micro-vision system based on calculating ghost imaging and a method of obtaining images. The system successively comprises, on a light path, a laser source, a first diaphragm, a laser beam expanding lens, a collimating lens, a second diaphragm, a polarizer, a spatial light modulator, a polarization analyzer, a third diaphragm, a reflector, a beam splitter mirror, a convergent lens and a CCD camera, and also comprises a precision positioning objective table located on another light path of the beam splitter mirror and connected with a computer; the computer is also separately in connection with the spatial light modulator and the CCD camera, and obtains high resolution images through the calculating ghost imaging technology. The high resolution micro-vision system has a simple and compact structure, and employs light field intensity correlation measurement to recover object information, thereby eliminating the problem of classic optical system imaging distortion, and can obtain high accuracy and contrast images. The high resolution micro-vision system is very helpful for micro-vision system design and ghost imaging technology research.

The invention discloses a target identification device and method based on ghost imaging calculation. The device is formed by a mode-locked laser, a laser beam expander, a diaphragm, a high-speed spatial light modulator, an imaging lens, a high-speed photodiode, a digital acquisition module and the like. The method comprises the steps of utilizing a random speckle generated by the high-speed spatial light modulator for sampling a target to be identified, adopting the ghost imaging calculation for rebuilding the target, and realizing target identification under extra-low sampling ratio through nonlinear correlation. According to the target identification device and the method based on the ghost imaging calculation provided by the invention, an information acquisition method of the ghost imaging calculation is adopted, and a nonlinear correlation test is combined, so that not only is target identification with single pixel and low sampling ratio realized and is the spectral region of target identification expanded, but also the size of a detector is reduced, and the cost of an imaging system is reduced.

The invention provides a ghost imaging system and imaging method based on fiber array pseudo-thermal light. The ghost imaging system comprises a pulse laser, a fiber coupler, an electro-optic phase modulator, a radio frequency driving power source, a fiber amplifier, a fiber array, a beam expanding collimator, a half-reflecting and half-transparent mirror, a reception telescope, a photoelectric array detector, a signal acquisition module and a signal control and calculation imaging module. Laser light emitted by the pulse laser is divided by the fiber coupler into a plurality of beams of coherent light which are transmitted to the electro-optic phase modulator for random phase modulation, and then, are transmitted to the fiber amplifier for power amplification; after passing through the fiber array, the beam expanding collimator and the half-reflecting and half-transparent mirror, the light is casted to a target; the reception telescope collects scattered light signals and gathers the light signals to the photoelectric detector; electrical signals output by the photoelectric detector are sampled by the signal acquisition module; and the sample data is transmitted to the signal control and calculation imaging module. The ghost imaging system is long in action distance and high in imaging rate, and solves the defects of an existing ghost imaging system.

The invention relates to an optical-computing-based visualized computing ghost imaging system and imaging method. The imaging system comprises a structured light spot emission source. Light emitted by the structured light spot emission source is split into two beams by a beam splitter; the beam I is irradiated to a to-be-imaged object and then the beam I is received by a barrel detector; and the beam II is processed by an external modulator and an optical information processing system for band-pass filter image enhancement processing and then the processed light is imaged to a low-speed light-sensing object. A signal output terminal of the barrel detector is connected to an internal modulator or the external modulator selectively by a double-throw switch; the signal is loaded to a control unit of the structured light spot emission source by the internal modulator or the signal is loaded to the beam II directly by the external modulator. According to the invention, with the internal modulation and external modulation processes, optical computing is introduced into ghost imaging to replace computer processing; and because the low-speed light-sensing object carries out time integral calculation automatically during observation, the average calculation of the traditional ghost imaging computer system is replaced, so that visualized ghost imaging of the to-be-imaged object is obtained at a high speed.

The invention discloses a speckle optimal-compressed sensing ghost imaging method and system, and belongs to the technical field of optical imaging. An implementation method of the invention comprisesthe following steps of generating an optimized speckle matrix through a principal component analysis method; generating light spots according to the generated speckle matrix, projecting the generatedlight spots onto a target image, receiving a light intensity signal reflected by the target image, and transmitting the signal to a compression processing module; projecting the obtained light intensity signals to a sparse base in a compression processing module to obtain sparse signals, wherein the sparse signals are subjected to an over-complete measurement matrix to obtain a series of non-adaptive linear random projection value matrixes; solving an optimal solution of the series of non-adaptive linear random projection value matrixes to realize the high reconstruction of the original lightintensity signal, and realizing the speckle optimal-compressed sensing ghost imaging, thereby improving imaging quality of the three-dimensional ghost imaging. The invention further discloses a computational ghost imaging system based on compressed sensing. The ghost imaging method disclosed by the invention has the advantages of being fast in imaging speed, less in times of receiving the light intensity signal, and flexible in form.

The invention provides an ultrasonic ghost imaging method and device based on the principle of lens-free calorescence ghost imaging, which belongs to the field of target imaging detection. Ultrasonic wave emitted by an ultrasonic emission source is divided into two beams through an acoustic beam splitter. The ultrasonic wave transmitted through an object to be imaged is received by an ultrasonic wave barrel detector. An ultrasonic CCD detector is used to receive an ultrasonic beam emitted by the ultrasonic emission source. A correlator is used to calculate the second order correlation function of the ultrasonic sound intensity detected by two ultrasonic detectors. Coincidence measurement is carried out on two ultrasonic signals to acquire the image of the object to be imaged. According to the invention, the ultrasonic wave is introduced into ghost imaging as a wave source; a new ultrasonic ghost imaging method is realized; the imaging method has a great anti-perturbation characteristic; and compared with traditional ultrasonic imaging, the imaging method can realize lensless imaging, and has the advantages of high resolution, high image quality and the like.

The invention discloses a secondary imaging method for restraining one-armed ghost imaging defocus blur, which is used for improving defocus blur effects of one-armed ghost imaging. A simulation result of a first ghost imaging experiment is used for making a general judgment on actual object target distribution, certain image processing operation is then carried out on a blurred image, the image distribution is obviously distinguished, corresponding optical field modulation is thus carried out on next-time imaging, and finally, the target stands out from a blurred area of a second one-armed ghost imaging simulation result. The method of the invention focuses on mastering on accuracy of object information, interference of part of useless information is removed, and the utilization rate of measurement data is improved.

The invention discloses a ghost imaging method based on a convolutional neural network, and the method comprises the following steps: 1, taking a to-be-recognized or imaged object image as a target for network training, taking an original object image with low resolution and each angle posture as a sample for network training, and carrying out the training through the convolutional neural network;2, detecting a target area by using a random radiation field, receiving an echo signal, and obtaining a low-resolution target image; and 3, inputting the low-resolution target image into the trainednetwork, and quickly outputting a high-resolution target image. According to the invention, the data acquisition time is short, the requirement on the quality of an input image is very low, the imaging speed is high, a high-quality target image can still be obtained under the condition that the effect of the input image is very poor, and the anti-interference capability is strong.

The invention discloses a color self-adaptive compression calculation ghost imaging system and method. The system comprises a PC, a DLP, a color target image, a single-pixel photon detector and a data acquisition and control module. The PC, the DLP and the single-pixel photon detector are connected with the data acquisition and control module. The data acquisition and control module controls the DLP to perform projection at the position of the important coefficients of the Y, U and V components of the color target image under white light, blue light and red light and transmits digital signals obtained through projection of white light, blue light and red light to the PC, and then obtains the respective wavelet important coefficients of the Y, U and V components through linear transformation. Finally inverse wavelet transformation and inverse linear transformation are performed on the Y, U and V components so that the color image is reconstructed. The number of times of sampling is effectively reduced and no loss of important information is guaranteed; and a single-photon camera structure formed by the single single-pixel photon detector and the DLP is utilized so that the system size is reduced and the system structure is simplified.

The invention relates to a multi-image encrypting and decrypting method based on ghost imaging and public key cryptography. The encrypting method includes the steps that at least one light path is sequentially arranged along a light path, and each light path is sequentially provided with a spatial light modulator (SLM), an image to be encrypted and a convex lens so that all the light paths can be converged to one barrel detector; the SLMs are controlled to generate different random phase plates so as to obtain all detection data, encryption is conducted through calculation based on a public key encryption algorithm, and a ciphertext is obtained. The decryption method includes the steps that the ciphertext and random phase plate information are received, and data are obtained by decrypting the ciphertext through a private key; light intensity information of the random phase plates in Fresnel areas of the random phase plates is obtained, data including all pieces of plaintext information are correlated to the light intensity information corresponding to the images, calculation is conducted, and decryption is conducted. According to the multi-image encrypting and decrypting method, an optical system is simplified, any images can be encrypted at the same time, mutual crosstalk does not exist among the images, and the number of the encrypted images does not affect the definition of the decrypted images.

The invention discloses a method for calculating ghost imaging reconstruction recovery based on a U-Net network. The calculation ghost imaging reconstruction recovery method comprises the steps of firstly obtaining a ghost imaging data set based on a Hadamard matrix corresponding to an MNSIT data set obtained through calculation ghost imaging; then constructing a U-Net network model, dividing theobtained data into a training set and a test set, and training the U-Net network model through training set data; and finally, verifying the trained U-Net network model through a test set and outputting a result to realize calculation ghost imaging reconstruction. According to the method, the number of random phase masks can be reduced to 7%, a good result is obtained, the reconstruction effect ofghost imaging calculation is effectively improved, and the reconstruction speed is increased.

The invention discloses an image encryption transmission method based on the thermal light ghost imaging principle, and pertains to the field of information safety. The objective of the invention is to solve distortion and compression ratio reduction problems in the image encryption process, through the characteristic that the thermal light ghost imaging dual optical paths satisfy image data obtained through measurement, image encryption transmission is realized by scrambling the signal sequence adopted by one of the optical path, the scrambled pulse sequence is recovered and encrypted with a key (the correct transformation matrix), and then image decryption is realized through appropriate measurement. The method of the invention has the following advantages that the image encryption transmission method based on thermal light ghost imaging is provided, the thermal light ghost imaging principle is introduced into the encryption algorithm, so the encryption algorithm has advantages of high safety and no distortion, and the image compression ratio will not be reduced.

The invention discloses a self-adaptive multi-scale three-dimensional ghost imaging method. The method comprises the following steps: firstly, obtaining low-resolution ghost images of a target in different directions through a ghost imaging system; preprocessing an image result obtained at a low sampling rate, and filtering out noise; calculating a target surface normal vector by using the preprocessed two-dimensional ghost image; taking the sparsity of the surface normal vector as a standard division region for dividing the high-resolution region and the low-resolution region; generating a high-resolution imaging reference light field according to the divided high-resolution area, and obtaining a high-resolution ghost image; and finally, splicing the images of the high-resolution area andthe low-resolution area, and performing three-dimensional reconstruction to obtain a target three-dimensional image. The sampling frequency of the ghost imaging system is reduced, and the operation speed of the system is improved; measurement data of three-dimensional imaging is reduced, data redundancy is reduced, and transmission and storage of the data are facilitated.

The invention discloses an ultra high-speed real-time color calculation ghost imaging device and method. The device comprises a random speckle emission source, a lens, a point detector and a computer, wherein a to-be-imaged object is located between the random speckle emission source and the lens, the light emitted by the random speckle emission source irradiates a light sensitive surface of the point detector after passing by the to-be-imaged object and the lens, and a control end of the random speckle emission source and an output end of the point detector are connected with the computer; and the random speckle emission source is an LED array. By adoption of the device and method, the imaging of a high-speed moving target object is realized, the imaging distance range is relatively large, the imaging resolution is relatively high, the anti-disturbance ability is high, and the imaging speed is high.

The invention discloses a double-layer frame optical watermark method based on computational ghost imaging. The method comprises the following steps: 1) encoding an original watermark image into a series of intensity values by using a computational ghost imaging method, and rearranging the intensity data into two-dimensional temporary images as a new watermark of the first layer; 2) dividing a main image into a plurality of smaller blocks, dividing a watermark image into smaller blocks, and selecting some important blocks to form a reference image; identifying a reference image composed of theimportant blocks by calculating spatial frequency coefficients of the reference image; 3) embedding the reference image into the new watermark by using a singular value decomposition method; 4) performing an extraction process on which a singular value decomposition transform is performed to obtain a modulated singular value; forming mapping between the synthesized blocks and original positions of the blocks, reconstructing the newly generated watermark by using a matrix to carry out inverse singular value decomposition, and making the original watermark be restored to a verifiable image. Themethod expands the key space and improves the security.

The invention relates to an adaptive imaging method used for improving the ghost imaging efficiency, and belongs to the technical field of optical imaging. The object of the invention is to provide an adaptive imaging method used for improving the ghost imaging efficiency in order to solve the problem that in the practical application of the ghost imaging technology, the imaging efficiency is low since the resolution is a fixed value and cannot be adaptively adjusted according to different conditions. According to the method, during the application of the ghost imaging technology, the resolution can be adaptively adjusted by employing a pixel combination mode according to the practical application condition requirement, and the ghost imaging efficiency is improved; besides, the method can be applicable to a calculation ghost imaging system and a classic ghost imaging system, an extra mechanism is not needed, and the universality is high.

The invention provides an optical image encryption method based on row multiplexing compressed ghost imaging and XOR operation. The method includes two processes of optical information encryption andcalculation decryption, for a plurality of images, an encipherer performs sparsification on images to be compressed through integer type wavelet transform and performs scrambling, and the scrambling images are integrated into an xor image through xor operation; the xor image is compressed to a ciphertext image through an improved row multiplexing compressed sensing frame, and ciphertext is published in an open mode; in a compression process, a scrambling key, an xor key and a measurement key are correspondingly generated, and are secretly distributed to different receivers; after receiving thekeys, the receivers utilize the measurement key, the xor key and the scrambling key in sequence to recover an xor image, a scrambling image and a spare image; and finally, a plaintext image is obtained through inverse wavelet transform. The method improves a compressed sensing optical implementation process, reduces key space redundancy, realizes simultaneous encryption and separate decryption ofa plurality of images, effectively enhances encryption capacity of an encryption system, and improves security.

The invention discloses an adaptive heterogeneous variable-resolution ghost imaging method and system, and belongs to the technical field of optical imaging. The implementation method comprises the following steps: performing image processing according to the first ghost imaging result; utilizing priori knowledge, detecting a circular area where the target object is located through image processing; determining the position of the circle center of the circular area to generate non-uniform speckles with adjustable resolution corresponding to the position and the size; projecting the non-uniformspeckle to a target to carry out secondary imaging on the target. The generation of non-uniform speckles is realized by carrying out region division, recombination and pixel filling of a random matrix on classical speckles under polar coordinates. That is to say, the position of the high-resolution center point is adaptively adjusted according to actual situation requirements, high-resolution speckle imaging is performed on the induction area, low-resolution speckle imaging is performed on the non-induction area, the data volume is reduced, and the ghost imaging efficiency is further improved. The invention also discloses an adaptive heterogeneous variable-resolution ghost imaging system for realizing the method.

The invention discloses a ghost imaging method and a ghost imaging device with the application of the method. The method comprises the steps of (S1) building a ghost imaging optical path, and using a diffuser to decompose the broadband light emitted by a broadband light source into a speckle field with narrow-band light of multiple different bands, (S2) using a calibration instrument to carry out initial calibration on the speckle field to obtain a speckle pattern, (S3) changing the speckle field through at least one mode in changing the incident angle of the broadband light source, adjusting the distance between the broadband light source and the diffuser and rotating the diffuser, and calibrating the speckle field again so as to obtain a speckle pattern set, and (S4) using the calibrated speckle set to carry out ghost imaging. According to the ghost imaging method of the embodiment of the invention, the multi-spectral multiplexing can be realized, the ghost imaging speed can be improved, the measurement times can be reduced, and the imaging efficiency can be improved.

The invention discloses a target recognition model construction and recognition method and device based on computational ghost imaging. A target recognition model special for a light intensity value collected by ghost imaging equipment is designed, the characteristics of ghost imaging data calculation are fully considered by a double-path neural network, the light intensity value and a measurementmatrix are used as input information at the same time, and the accuracy of fusion of the output of the two paths of networks is higher than that of independent input of the light intensity information; the method achieves the recognition of an object in a calculation ghost imaging system without an imaging step, saves the imaging calculation time, and completes the quick target recognition. According to the method, imaging calculation is skipped, the imaging calculation time is saved compared with the process of imaging first and then recognition by using a classical ghost imaging calculationmethod, rapid target recognition by using light intensity information is realized, and the hardware requirement of the system is reduced.

The invention provides a network test system based on typical "ghost" imaging. The network test system also has relatively good effect when measuring a frequency response of a component having interference of a nonlinear device, and the cost is low. According to the system provided by the invention, a principle of the "ghost" imaging (correlated imaging) is adopted, and a compressed sensing algorithm is utilized to obtain a frequency characteristic curve of a to-be-tested component at last. Compared with a vector network analyzer upon which the traditional network test system is based, the system provided by the invention is based on the compressed sensing algorithm, so that the number of times of detection can be effectively reduced, the equipment cost is reduced, and the system has alsorelatively good effect when measuring the frequency response of the component having the interference of the nonlinear device.

The invention discloses a super-resolution ghost imaging method and a super-resolution ghost imaging system based on a partial Hadamard matrix, aiming at overcoming the defect of large data acquisition quantity of the original ghost imaging system. The partial Hadamard matrix is used for replacing random light spots of the original ghost imaging system, and a super-resolution processing link is added into the system. According to the system, the measurement method is optimized during acquisition, so that the required data acquisition amount and storage amount for common objects are relativelysmall, the calculation amount during preliminary imaging is relatively small, and the imaging time is short. After a proper super-resolution processing method is adopted for processing, a clear imagecan be obtained by quickly processing a preliminary result. The method can be applied to underwater and remote sensing complex scenes with poor imaging effects in a plurality of traditional imaging modes.