1124 results about "Chromatic aberration" patented technology

The invention discloses a columnar transparent part defect detection method, and relates to the technical field of optical detection and machine vision, and the detection method comprises a detection preparation stage, a detection pose configuration stage, a structured light stripe excitation stage, a machine vision detection stage, a model optimization evaluation stage, and a detection post-processing stage. According to the defect detection method for the columnar transparent part, the comprehensive performance of defect detection of the columnar transparent part is remarkably improved through the synergistic effect of coaxial pose optimization, composite structure light source design and improved YOLOv8 deep learning model; various common surface and subsurface defects in production are covered; the real-time detection requirement of an industrial production line is met through relative movement of the part and the light source and high-speed image acquisition and processing; the system has strong anti-interference capability, and can adapt to detection scenes of different materials, sizes and environmental conditions.

The invention discloses a titanium dioxide super-lens large-view-field achromatic imaging method and device, and the method comprises the steps: building a simulation model through a time domain finite difference method, and obtaining the phase amplitude corresponding relation of TiO2 nano-column units under different sizes; and according to a first target function preset by single-wavelength super-diffraction focusing, reversely designing and iteratively optimizing the surface phase of the TiO2 super-lens by using a genetic algorithm to obtain the single-wavelength super-diffraction super-lens. And then, optimizing the genetic algorithm, and reversely designing and optimizing the phase of the single-wavelength super-diffraction super-lens again in combination with a Rayleigh-Sommerfeld diffraction formula and a second target function preset by broadband achromatism to obtain the broadband achromatism super-diffraction super-lens. And finally, point spread functions with different off-axis degrees are optimized by means of an exhaustion algorithm and an angular spectrum theory, and large-view-field achromatic super-diffraction imaging is realized. The invention effectively solves the problems of large aberration, obvious chromatic aberration, limited resolution, difficulty in parameter regulation and control and poor off-axis imaging performance of the traditional optical lens and the existing super lens in large-view-field imaging.

The invention discloses a chromatic aberration correction method, head-mounted display equipment and a computer readable storage medium, and the chromatic aberration correction method is applied to the head-mounted display equipment, and comprises the steps: inputting the sampling point information of each pixel in a to-be-displayed image into a pre-constructed target offset model, obtaining first position offset information of a to-be-corrected channel corresponding to each piece of pixel sampling point information; according to the first position offset information of the to-be-corrected channel corresponding to each pixel sampling point information, in combination with an interpolation method, performing interpolation to obtain second position offset information of the to-be-corrected channel corresponding to each pixel point on the to-be-displayed image; according to the second position offset information, an edge color-edge area of the screen is determined, brightness attenuation processing is conducted on the edge color-edge area, and the edge color-edge area refers to a color-edge area formed outside a calibrated target display area corresponding to the screen display frame. According to the method and the device, the transverse chromatic aberration can be corrected in real time with relatively low hardware complexity and operation load.

The invention discloses a four-channel fluorescence detection light path module of a super-resolution biological microscope, which divides a fluorescence signal of an intermediate image plane (5) into four conjugate channels (7a-7d) through multi-stage dichroscope light splitting, reflector guiding and lens focal plane adjustment on the premise of not introducing additional aberration, and realizes real-time synchronous detection by using a single large-target-surface camera (8). By adjusting the distance between the reflectors, the inclination angle of the parallel plate glass or the position of the lens, the device can adapt to different camera target surface sizes and compensate chromatic aberration, and the problems of motor switching delay and dual-channel aberration in the prior art are solved.

The invention discloses an online coated glass color difference detection method, and relates to the technical field of glass color difference detection. The on-line coated glass color difference detection method comprises the following steps: step 1, conveying coated glass to the position of a detection mechanism through a first conveyor belt mechanism, and after the coated glass reaches the position below the detection mechanism, moving the detection mechanism and detecting the color difference of the coated glass in the whole area in a sweeping manner; 2, judging a color difference detection result to obtain whether the detection result is qualified or unqualified; 3, the detected coated glass enters a second conveying belt mechanism and is conveyed by the second conveying belt mechanism; 4, if the color of the coated glass subjected to color difference inspection is unqualified, the coated glass is separated from the second conveying belt mechanism in a lifting mode on the second conveying belt mechanism; according to the online coated glass color difference detection method, unqualified glass is removed in a lifting manner, so that the coated glass is prevented from being broken.

The invention relates to the technical field of artificial intelligence, and discloses a vision-guided automatic sorting and deviation rectifying method and system.The vision-guided automatic sorting and deviation rectifying system comprises a vision parameter processing module, a sorting strategy decision module and a deviation rectifying execution control module, a real-time judgment mechanism of dynamic and static resolution differences is established by setting a resolution collaborative correction end, and the deviation rectifying execution control module is established; a self-adaptive interpolation algorithm is adopted to adjust visual feature data, so that the system can eliminate imaging resolution deviation caused by ambient light and transmission vibration, the acquisition accuracy of material surface texture features is ensured, sorting identification errors caused by projection chromatic aberration are avoided, the environmental adaptability of the visual guidance system is improved, and the visual guidance system is more accurate in image quality. The position and posture coupling analysis end is arranged, the dynamic matching degree of the position and posture offset of the materials and the motion trail of the mechanical arm is monitored in real time, the grabbing angle offset is automatically corrected through a space coordinate compensation mechanism, and it is guaranteed that the relative space position of an end effector and the materials is in the optimal grabbing state all the time.

The invention provides probe type mineral multi-element laser-induced breakdown spectroscopy detection equipment. The equipment is characterized in that a sealed quartz optical window is mounted on the side surface of a probe box; the laser faces the sealed quartz optical window and emits laser pulses to the detected mineral; the convex surface of the quartz crescent focusing lens faces the laser, the concave surface of the quartz crescent focusing lens faces the sealed quartz optical window, and laser pulses are focused on the surface of detected mineral to generate plasma; the dichroscope is used for reflecting the plasma emission light to the double-lens group; the emitted light is converged through the double-lens group to form a plasma image with weakened chromatic aberration; the spectrograph is coupled with the plasma image through an optical fiber mechanism and records spectrums of different wavebands; therefore, after the focus point of the reflected light of the crescent focusing lens is pushed far to the laser, the optical element is prevented from being damaged; the imaging chromatic aberration of a plasma image is reduced by the double-lens group; the optical fiber mechanism balances spectral intensities of different wavebands and suppresses a continuous spectrum through spatial resolution.

A system for chromatic aberration and geometry calibration and validation of VR HMDs has a left eye display and a right eye display, comprises a measurement device with a left (11) and a right (12) camera. A control unit, connected to the two cameras, is configured to deliver control signals to the HMD when attached to the measurement device and with the camera IPD is equal to the HMD IPD and a virtual IPD, the control unit is configured to effect a measurement comprising the steps of: creating a virtual target object having am image center identifying element (523) for each camera (11, 12) and a plurality of predetermined points (525) within the FOV of the cameras, calculating and transmitting the images of said virtual target object to the displays of the HMD, taking the images of the displays with the cameras, detecting the virtual object (535) within the images, determining the shift (555) for the plurality of predetermined points (525) of the virtual object, for creating a chromatic aberration heatmap and a subsequent chromatic aberration validation, or for calculating the distortion of the predetermined points within the FOV of the cameras for creating a geometric correction mapping for the HMD for a geometry calibration of the HMD; or for using the shift for creating a heatmap for the HMD and determining the geometry validation or denying the geometry validation.

The invention relates to the technical field of color printing product quality detection, and discloses a green color printing product defect intelligent diagnosis method based on deep learning. Visible light, hyperspectral and infrared thermal imaging data of a green color printing product are collected, multi-scale feature extraction is carried out, defect feature vectors such as surface texture, chromatic aberration distribution and heat conduction abnormity are obtained, and a cross-modal attention mechanism is utilized to fuse the defect feature vectors into a unified defect representation vector. And determining a defect type and a repair scheme through a dynamic classification algorithm in combination with the defect knowledge base. The algorithm comprises the steps of generating an initial candidate defect set, constructing a topological graph, optimizing defect type judgment and the like. A multi-dimensional anomaly detection model is adopted to process sudden defects, and a causal inference engine is utilized to adaptively adjust a repair scheme. And constructing a defect rule knowledge graph to verify the compliance of the repair scheme. The method is accurate in detection, intelligent in diagnosis and efficient in repair, and effectively improves the quality detection and repair level of the green color printing product.

The invention relates to a three-waveband off-axis reflective optical system with view field switching and focusing functions. Belongs to the photoelectric technical field. Multi-band common-caliber imaging is realized by adopting an off-axis two-reflection-path form, imaging information can be continuously obtained day and night all day, laser emitting and receiving capabilities are considered, and the device has functions of positioning aiming, laser guiding and the like. Large and small field-of-view switching imaging is realized through switching-in and switching-out of the secondary mirror, and the system has the capability of carrying out rapid search in a large field-of-view range and carrying out accurate identification and tracking in a small field-of-view range; the auto-collimation focusing of the optical system is realized by switching the position of the focusing mirror and arranging the focusing system, the system is ensured to be clear in imaging under the use conditions of different atmospheric pressures, temperature changes and photographing distances, and the system is suitable for accurate aiming and detection of a target under various complex and severe working conditions. The total reflection optical system is free of chromatic aberration, free of blocking, compact in structure and high in system integration degree, and the requirement for functional diversification of a photoelectric system is met.

The application discloses a multi-marked endoscopic imaging lens for digestive tract, and belongs to the field of biomedical microscopic endoscopic imaging. The endoscopic imaging lens comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens and a seventh lens; the first lens focuses laser; the second lens is matched with the first lens to limit a light beam in an effective light aperture of the lens; the third lens corrects chromatic aberration; the fourth lens and the fifth lens are combined to correct aberration; the sixth lens adopts an aspheric lens to correct spherical aberration caused in a collimating and focusing system; and the seventh lens is matched with the sixth lens to correct chromatic aberration. The working spectral range of the microscopic objective lens group is 488-860 nm, the effective light aperture is less than 1.8 mm, the mechanical outer diameter is not greater than 2.6 mm, the numerical aperture at the object side or the tissue is 0.55, the imaging field of view is 450 microns, the magnification is 2.14 times, and the working distance is 84 microns. The effect of matching excitation and fluorescence spectrum of a clinically available fluorescence contrast agent is realized.

The invention relates to a multi-spectral wavefront aberration restoration method and system based on double roof prisms, and the method comprises the following steps: taking a sub-pupil image as the input of a classification model, obtaining classification feature data, and carrying out the data expansion of the classification feature data, the sub pupil image is obtained by inputting incident wavefront aberration into a simulation light path of the double-ridge prism wavefront sensor, the double-ridge prism wavefront sensor comprises two groups of double-ridge prisms, each group of double-ridge prisms comprises two ridge prisms which are vertically and oppositely arranged, the characteristics of the ridge prisms are equal, and the characteristics of the double-ridge prisms are equal. The two groups of double-roof prisms are made of a material combination for eliminating chromatic aberration; splicing the sub pupil images and the classification feature data after data expansion to serve as input of a regression model, and obtaining a Zernike coefficient matrix corresponding to incident wavefront aberration; and according to the Zernike coefficient matrix corresponding to the incident wavefront aberration and the Zernike polynomial, obtaining a recovered wavefront aberration. Compared with the prior art, the method has the advantage that the wavefront aberration recovery accuracy is improved.

The invention discloses a multi-lens picture automatic splicing fusion processing method in video communication, which belongs to the technical field of multimedia communication, and comprises an acquisition module for synchronously acquiring video images of different visual angles through a plurality of cameras, and an analysis module for identifying overlapping areas and key feature points in each path of video, carrying out image matching, and sending the images to the video communication module. The fusion module is used for splicing and fusing the multiple paths of videos according to the image matching result to generate a panoramic picture, and the output module is used for outputting the spliced and fused panoramic picture to terminal equipment in real time. According to the invention, through a frame-level synchronization system with a unified time reference and standardized video parameter configuration, time sequence deviation and chromatic aberration distortion of multiple paths of videos are eliminated, the feature matching reliability in a complex scene is remarkably improved, the positioning precision of an overlapping region is ensured, splicing traces can be efficiently eliminated, and meanwhile, processing delay is reduced; and intelligent adaptation of the panoramic content on different terminal devices can be realized, and the degree of freedom of user control is improved.

The invention discloses a multi-wavelength high-color-difference metasurface color holographic device and a design method thereof.The method comprises the steps that firstly, a nano-column super unit is simulated and then serves as training data of a four-port neural network model, a well-trained forward prediction model is obtained, a prediction response database is constructed, and the prediction response database is used as a prediction result; and according to the phase demand of the target image, a corresponding unit structure is matched in the prediction response database, the multi-wavelength high-chromatic-aberration metasurface color holographic device is designed, and full-mode electromagnetic simulation is carried out. According to the scheme, when holographic imaging is achieved, the RGB energy efficiency is improved, and positive illumination high-efficiency metasurface color holographic imaging can be effectively achieved. The method belongs to a non-filtering type multi-wavelength high-color-difference metasurface color holographic device design method, information of three channels of red, green and blue is coded into sub-pixels at the same time, each sub-pixel responds to RGB light, and compared with a traditional mode that RGB sub-pixels respond respectively, the space utilization rate and energy efficiency of three primary colors are greatly improved.

The invention discloses a method for designing a myopia prevention and control lens based on harmonic diffraction. Relates to the technical field of eye vision optics, in particular to the technical field of a myopia prevention and control lens design method based on harmonic diffraction. According to the method, a harmonic diffractive optical lens chromatic aberration correction method and a harmonic diffractive optical lens diffraction efficiency calculation method when shielding is considered are firstly designed, chromatic aberration is effectively eliminated, the diffraction efficiency is evaluated, and then influences of chromatic aberration correction and shielding error manufacturing are balanced by designing a balance optimization model. The method comprises the following steps: designing a diffractive optical element on the refraction surface of a myopia prevention and control lens to obtain a refractive and diffractive optical lens; modulating the harmonic number # imgabs0 # of the refractive and diffractive optical lens to obtain a harmonic diffractive optical lens; designing a chromatic aberration correction method of the harmonic diffractive optical lens; harmonic diffractive optical lenses are designed that take into account additional refractive power and diffraction efficiency at the time of manufacturing shields.

The invention discloses a textile color difference detection method based on image data, and relates to the technical field of image processing and computer vision, and the method comprises the following steps: S1, collecting an image of a textile with a high reflection characteristic under a standard light source, constructing a light intensity prediction model, and carrying out the analysis based on pixel brightness distribution, identifying a brightness abrupt change region and a saturation critical region, and generating an image-level saturation risk probability graph; s2, performing multi-scale exposure area division on the image based on the image-level saturation risk probability graph, setting a target brightness range of each exposure control sub-area, and recording a global exposure parameter of the image acquisition equipment as an initial baseline of exposure scheduling; according to the method, pixel-level brightness convergence is realized through light intensity prediction and area exposure control, real color distribution is reconstructed in combination with color compensation, and a closed-loop process is constructed by introducing model self-correction, so that the detection precision and consistency of the micro chromatic aberration of the high-reflective fabric are improved, and the automation and industrial applicability are enhanced.

An optical system and a display device, the optical system comprising: a lens assembly comprising at least two lenses, the at least two lenses comprising a first surface, a second surface, a third surface and a fourth surface arranged in sequence along an optical axis direction of the lens assembly; the transflective film is arranged on the side, away from the third surface, of the fourth surface; the polarization reflection layer is arranged on the side, away from the fourth surface, of the third surface; the phase delay film is located on the side, away from the transflective film, of the fourth surface; the adhesive layer comprises an adhesive layer lens; wherein at least one of the first surface and the second surface is a Fresnel surface, and the glue layer is glued between the second surface and the third surface. The glue layer glued between the second surface and the third surface comprises the glue layer lens, light rays are refracted through the glue layer lens and the Fresnel surface, chromatic aberration can be corrected, the light rays do not pass through the Fresnel surface in the returning process, and stray light is reduced.

The invention relates to the technical field of image data processing or generation, in particular to a monomolecular positioning super-resolution imaging chromatic aberration correction method and system, and the method comprises the following steps: removing misregistration points from a plurality of groups of transverse moving images of two different wavelength channels; the reserved points are registered to obtain a chromatic aberration correction mapping function, and single-molecule positioning super-resolution imaging transverse chromatic aberration correction is completed; gaussian fitting and linear least square fitting are carried out on the multiple sets of axial height data of each wavelength channel, the average deviation of the two channels at different axial heights is obtained and compensated to a single-molecule positioning super-resolution imaging chromatic aberration correction system, and single-molecule positioning super-resolution imaging axial chromatic aberration correction is completed. According to the method and the system provided by the invention, the correction of transverse and axial chromatic aberration in multi-color single-molecule positioning super-resolution imaging is realized, the registration precision and the correction speed of the system are improved, and the correction cost is reduced.

The invention discloses a ceramic substrate surface defect intelligent identification method and system based on multispectral imaging, and the method comprises the following steps: synchronously collecting multispectral images under a plurality of visible light and near-infrared wavebands, constructing a multispectral image stack, and completing dark field deduction, registration and geometric correction processing; inputting the crack sensitive wave band combination image into a CrackFormer crack identification network, extracting slender structure characteristics and positioning a crack area; inputting the edge enhancement graph into an improved BDCN edge detection network, extracting the contour structure of the ceramic substrate, and identifying the position of a contour gap; a chromatic aberration defect area is extracted through brightness difference calculation; and fusing the identification results of the three types of defects, and outputting a defect mask pattern and structured defect information. According to the method, the multi-band image and the deep learning model are fused, and the accuracy and adaptability of ceramic substrate defect detection are improved.

The invention relates to a large-view-field continuous zooming optical system from visible light to a near-infrared band. The system is sequentially provided with a front fixing group with positive focal power, a zooming group with negative focal power, a compensation group with positive focal power, a rear fixing group with negative focal power and an image plane I in the light propagation direction; wherein the zoom group is composed of a meniscus lens with negative focal power and a doublet lens; and the compensation group consists of a meniscus lens with positive focal power, a meniscus lens with negative focal power and a doublet lens with positive focal power. According to the invention, two groups of doublet lenses in different forms are adopted, a negative lens in one group of doublet lenses is crown glass with low refractive index and high Abbe number, and a positive lens in one group of doublet lenses is flint glass with high refractive index and low Abbe number; and in the other group of glued lenses, the negative lens is flint glass with high refractive index and low Abbe number, the positive lens is crown glass with low refractive index and high Abbe number, and the two types of glued lenses effectively control high-order spherical aberration caused by a large view field, correct field curvature and suppress chromatic aberration caused by a wide spectral range.

The invention discloses a multivariate data fusion coal bunker abnormal state monitoring method and system, and the method comprises the steps: collecting the continuous N-frame image information of a coal piling detection region in an image, obtaining the static pixel area of the coal piling region, calculating the ratio of the static pixel area of the coal piling region to the total area of the whole region, and calculating the area of the coal piling region; if the proportion in the continuous N frames of images exceeds a set threshold value, it is judged that coal piling abnormity occurs; image information of a coal falling opening in the image is collected, and whether coal blockage abnormity occurs or not is judged in combination with a coal level meter signal and the running state of the coal feeder; the method comprises the following steps: acquiring continuous N frames of image information of a lower opening and a coal falling opening of a coal bunker in an image, presetting a bunker collapse detection area in the image, calculating a chromatic aberration diffusion rate and a coal level descending rate in the bunker collapse detection area, and judging that bunker collapse is abnormal if the chromatic aberration diffusion rate and the coal level descending rate in the continuous N frames of image continuously exceed corresponding threshold values. Under the condition that existing equipment does not need to be transformed and replaced, recognition of various states of the coal bunker is achieved at low cost.

A method and system for reducing the chromatic aberration in an image, more particularly using a data processing apparatus or system for reducing the chromatic aberration in an image of an environment that has been captured by an image capturing sensor and which is supposed to be displayed to a user. In particular, this method can be used on an image that has been captured by a wide-angle camera with the aim of displaying it to the driver of a vehicle (passenger car, transport truck, motorcycle, etc.) in order for instance to replace the internal and external mirrors of the vehicle.

The invention relates to the technical field of industrial automation and machine vision, and particularly discloses a baked porcelain plate surface defect online detecting and sorting system based on machine vision. The system comprises an automatic feeding module, a multi-modal image acquisition module, a central data processing module and an intelligent execution sorting module which are arranged in sequence, synchronously acquiring surface information by adopting three imaging units of a bright field, a dark field and a 3D outline; constructing a multi-modal feature fusion defect classification model based on deep learning, and realizing feature fusion through a cross attention mechanism; the integrated model online learning unit is used for realizing incremental learning by adopting an elastic weight consolidation algorithm; the intelligent execution sorting module plans a track according to the defect position and performs sorting through a self-adaptive vacuum chuck array; the device realizes comprehensive detection of various defects such as scratches, pits and chromatic aberration, has the beneficial effects of high detection precision, strong self-adaption, avoidance of secondary damage and the like, and improves the production efficiency and the product quality.

The invention discloses a brightness and chrominance consistency correction method and system for an LED spliced screen, and the method comprises the steps: firstly recognizing the batch features of a module, dividing the batch features into correction partitions, and respectively collecting the original brightness and chrominance data of a high-gray linear region and a low-gray nonlinear region; and then, calculating the geometric intersection of the original color gamuts of all the partitions to determine the maximum common target color gamut, and eliminating the metamerism phenomenon caused by multi-batch mixed use from the physical level. Then, constructing a non-linear dual-order correction model, and generating a correction coefficient set containing a main linear conversion matrix and a low-gray-scale non-linear offset item; when the control system runs, the linear matrix is dynamically called according to the input gray level, and bias compensation is superposed. According to the invention, the problems of cross-batch visual angle chromatic aberration and color temperature drift and pocking marks under low gray level of the spliced screen are effectively solved, and the high-fidelity display consistency of the full gray level is realized.

The utility model relates to a near-infrared floating focusing machine vision lens, and belongs to the technical field of imaging optical system design. Comprising a first lens G1, a second lens G2, a third lens G3, a fourth lens G4, a fifth lens G5, a diaphragm STOP, a sixth lens G6, a seventh lens G7, an eighth lens G8, a ninth lens G9, a tenth lens G10, an eleventh lens G11 and a protection lens which are sequentially arranged from an object space to an image space along an optical axis. According to the utility model, eleven full-spherical lenses are used, floating focusing is adopted, and the diaphragm front lens group is controlled to move so as to cooperate with work under different working distances. The lens can be suitable for a chip with the size of 1 '', has a large aperture, and meets the requirements of high illumination, low chromatic aberration, small distortion and the like of a semiconductor detection lens in the field of machine vision detection.

The invention relates to the technical field of color detection, in particular to a color difference calculation optimization method and system for archaized linen viscose reactive dyeing. Comprising the following steps: monitoring a fabric motion state in real time, calculating a motion speed and displacement, and determining a spectrum acquisition opportunity and a position compensation parameter; illuminating the surface of the to-be-detected fabric at an acquisition position through a polarized light source, and performing polarized spectrum data acquisition in the normal direction of the surface of the fabric to obtain reflection spectrum information; exciting the surface of the to-be-detected fabric by adopting an ultraviolet light source, collecting fluorescence spectrum data, and identifying different fiber areas; calculating fiber density distribution in the fiber area, and constructing a layered weight system; calculating chromatic aberration of the fiber area based on the reflection spectrum information, extracting chromatic aberration characteristics, and measuring and calculating an antique degree quantification result; setting a color difference threshold value standard according to an antique degree quantification result, and adjusting a color difference threshold value according to an evolution trend; and based on the layered weight system and the chromatic aberration threshold, performing weighted calculation on the chromatic aberration value of the fiber region to obtain a comprehensive chromatic aberration evaluation result.

The invention relates to the technical field of computer vision and image processing, and particularly provides a single-camera panorama splicing system and method, and the method comprises the steps: employing a 12 * 9 checkerboard to shoot a plurality of images at different angles and different distances, and obtaining an internal reference matrix and a distortion coefficient of a camera; adjusting the camera to a position where the optical center coincides with the rotating shaft by adopting an optical center alignment method; driving the camera to rotate, and shooting a plurality of to-be-spliced images covering 360 degrees; and splicing the to-be-spliced images into a complete image by adopting image distortion removal, spherical coordinate system conversion and gradient fuzzy fusion methods. The problems of high hardware cost, chromatic aberration, parallax, low splicing automation degree and the like existing in a multi-camera shooting scheme in the prior art are solved, and low-cost, high-precision and full-automatic seamless panorama splicing is realized through optical center accurate alignment, spherical coordinate system conversion and brightness equalization algorithms.

The utility model discloses a binocular telescope. Comprising a first positive-focal-power biconvex objective lens, a second negative-focal-power meniscus objective lens, a third positive-focal-power meniscus objective lens, a fourth negative-focal-power meniscus objective lens, a semi-pentaprism, a roof prism and a first negative-focal-power biconcave objective lens which are sequentially arranged from the object side to the observation side in the optical axis direction. The first lens is a positive-power biconvex eyepiece lens, the second lens is a positive-power biconvex eyepiece lens, the third lens is a positive-power biconvex eyepiece lens, the fourth lens is a negative-power meniscus eyepiece lens, and the fifth lens is a positive-power meniscus eyepiece lens; during focusing, the objective fourth lens moves back and forth along the optical axis direction. The exit pupil diameter of the binocular telescope ranges from 3.5 mm to 4.5 mm, the exit pupil distance ranges from 15 mm to 18 mm, the field angle ranges from 6 degrees to 6.5 degrees, and the binocular telescope has the advantages of being high in resolution, small in chromatic aberration, small in size and light in weight.

The invention provides a display device and a figure skin color compensation method, and the method comprises the steps: recognizing a partition boundary through a boundary pixel difference value, dividing a face into a preset number of partitions, and screening a to-be-compensated region based on the deviation between each partition and an original skin color pixel value. According to the method, a local area with abnormal chromatic aberration caused by the illumination condition in the video frame can be accurately positioned, unnecessary adjustment of a normal skin color area is avoided, and more targeted compensation operation can be executed on a target person. According to the method, the original skin color pixel value of a normal skin color area is reserved, targeted skin color compensation is executed by dividing a plurality of face subareas, and the skin color secondary distortion phenomenon caused by executing skin color compensation on the whole face area is effectively eliminated.

The invention discloses a periscope head image difference compensation method and system, a computer and a storage medium, a periscope head comprises a reflecting prism, a lens group and a diffractive optical element, and the non-reflecting surface of the reflecting prism is provided with a polarization coating; the method comprises the following steps: constructing an optical path model according to design requirements of a periscope lens module, and carrying out aberration analysis on the optical path model; calculating a chromatic aberration compensation phase function of the diffractive optical element according to a chromatic aberration compensation formula; calculating a spherical aberration compensation phase function of the diffractive optical element according to a spherical aberration expansion formula; and calculating a total phase function of the diffractive optical element, and performing aberration compensation on the optical path model according to the total phase function. According to the long-focus periscope lens module, the total aberration of the periscope lens module can be compensated by utilizing the cooperation of the diffractive optical element and the reflecting prism with the polarization coating, so that the size of the long-focus periscope lens module is reduced, and the imaging quality of the long-focus periscope lens module is improved.