164 results about "Color imaging" patented technology

A computer-implemented method, and corresponding system, predicts existence of a feature in a scene within an environment for each of at least two modes of observation, e.g., thermal, video color, or multispectral imaging, of the scene. Predicting the existence includes calculating a proposal of the existence of the feature within a respective bounded region of a representation of the scene for each of the at least two modes of each observation of a sequence of observations. The method uses a projection function that synergistically shares information between or among the at least two modes to generate a corresponding fused predicted existence of the feature for each of the at least two modes of each observation, thereby maximizing the benefits of multi-modality. The feature may be an object of interest that may be occluded and moving within the environment. The predicted existence enables the object to be detected, tracked, and / or identified.

A dental scanning system may include an intraoral scanner and an extraoral imaging device including a color imaging camera couplable in electronic communication with the intraoral scanner. The system may include non-transitory computer readable medium with instructions that, when executed by a processor, cause the system to carry out a method. The method may include capturing 2D image data of a patient's face and teeth with the extraoral imaging device, capturing intraoral 3D image data of a dentition of the patient with the intraoral scanner, generating a 3D model of the patient's teeth based on the intraoral 3D image data, and associating the 2D image data of the patient's face with the 3D model.

An image sensor for color imaging using arbitrary-color-filter-array event data is provided. The image sensor comprises: a plurality of color imaging pixels and a plurality of color event pixels. An image signal of a first color imaging pixel included in the plurality of color imaging pixels is determined based on a first color signal of the first color image pixel and at least a color event data of one or more color event pixels included in the plurality of color event pixels. The color event data is generated in a temporal relation to the generation of the first color signal.

The invention provides a weak supervision underlying visual color imaging method and device based on multi-prompt learning. The method comprises the steps of obtaining six data sets, and generating a training set and weak supervision prompt information of similar tasks; constructing an end-to-end CLIP network based on a deep learning large model as a teacher network, and pre-training the teacher network by using the training set and the weak supervision prompt information to obtain a pre-trained teacher network; constructing a student network, learning multi-task common prompt information by using the training set, KL divergence and a mean square error loss function, and performing knowledge distillation on the student network according to a knowledge distillation function by using the multi-task common prompt information to obtain a distilled student network; and inputting a color-related task into the distilled student network, and outputting a target image of the corresponding task. In this way, only a single model structure is used for unifying bottom layer color tasks, only a small number of parameters need to be learned, the overhead of the calculation amount is reduced, and better color feature representation is obtained.

The invention provides an ultra-high-definition long-distance full-color imaging method under extremely low illumination and a module thereof, and relates to the technical field of image processing, and the method comprises the steps: carrying out the short-exposure shooting of the same scene, synchronously obtaining a plurality of visible light frames and a plurality of infrared frames, and carrying out the image registration; performing brightness enhancement on the plurality of corresponding visible light frames based on the plurality of infrared frames, and synthesizing the plurality of visible light frames after brightness enhancement by using an adaptive weighted fusion algorithm to generate a long exposure equivalent single-frame image; performing noise reduction processing on the long exposure equivalent single-frame image and the plurality of infrared frames; inputting the long-exposure equivalent single-frame image after noise reduction processing and the plurality of infrared frames into a pre-trained color derivation model for color reconstruction, and generating a color information matrix for constructing a full-color image; and based on the color information matrix, performing color mapping and coloring on the long-exposure equivalent single-frame image to generate a final full-color image.

The invention discloses a molecular resolution microscopy (MITI) (Molecular-level Imaging Based on Twoo-color Imaging) based on two-color single molecule positioning, and relates to the technical field of microscopy, in particular to the MITI (Molecular-level Imaging Based on Twoo-color Imaging) based on two-color single molecule positioning. According to the invention, by using a two-color imaging method, the positioning points of the fluorescent molecules which cannot be distinguished originally successfully pass through a two-color method, different positioning point sets are distributed to corresponding fluorescent channels for successful distinguishing, and then the positioning points of the fluorescent molecules are obtained by fitting the distribution of the positioning points of the fluorescent molecules again. And the center position of the fluorescent molecule positioning point distribution and the positioning precision improved again are obtained, so that the resolution is improved. According to the method, the spatial resolution of 2nm can be achieved at most, and an important means is provided for analysis of a molecular-scale biological structure and an interaction process.

The invention discloses an AI algorithm-based full-appearance visual detection method and system for an energy storage socket, and the method comprises the steps of detection image collection, data analysis and processing, socket defect detection and detection optimization, and comprises the steps: adjusting the position of imaging equipment according to the specification parameters of the energy storage socket; acquiring socket and wiring copper column images through a color imaging device and a black-and-white imaging device respectively; processing the image to generate a model training data set; and constructing a defect detection model, outputting a comprehensive detection result through multi-module output consistency verification, and dynamically optimizing model parameters based on detection accuracy. The system comprises a detection image acquisition module, a data analysis processing module and a socket defect detection module, can realize high-precision and high-efficiency online detection of full appearance defects of energy storage sockets of multiple specifications, remarkably improves detection compatibility and reliability, and guarantees product quality.

The invention discloses a fast full-color imaging method based on a Fourier laminated microscope, which solves the problems of long time consumption and poor imaging quality of a full-color imaging mode of the existing FPM microscopic imaging technology, and specifically comprises the following steps: step 1, obtaining a low-resolution color image of a target through a Fourier laminated microscope system, selecting an optimal acquisition channel from three channels of the system; 2, collecting a target through the optimal collection channel, reconstructing a high-resolution grayscale image based on the collected FPM original data, and calculating a system coherent transfer function and a system incoherent transfer function; 3, calculating a deconvolution IHS color space variable corresponding to the low-resolution color image through a system incoherent transfer function; and step 4, calculating the high-resolution grayscale images of the other two channels through the high-resolution grayscale image of the optimal acquisition channel and the deconvolution IHS color space variable, and synthesizing the three high-resolution grayscale images into a high-resolution color image to complete rapid full-color imaging.

An end-to-end color imaging system chromaticity characterization method based on hyperspectral calibration belongs to the field of color imaging, color display and imaging chromaticity measurement, and comprises the following steps: firstly, acquiring or calling hyperspectral cube data, and measuring red, green and blue three-channel spectral sensitivity curves and calibration coefficients of imaging equipment; fixed weight linear mapping is adopted, a pixel-level RGB image and a corresponding XYZ tristimulus value image are generated, and paired calibration samples are formed. And an end-to-end deep network is constructed to map any RGB image into an XYZ image. The method has good prediction precision and robustness, and can be widely applied to scene chromaticity measurement, color imaging color management, display calibration, camera color recovery and other chromaticity consistency demand scenes.

The present invention relates to a wireless router network communication quality assurance system, comprising: a shielding determination mechanism for determining the most frequently occurring depth of field among the depths of field corresponding to pixels in a content-enhanced image that match the color imaging characteristics of metal materials as a representative depth of field value, and determining a signal shielding level for the wireless router based on the representative depth of field value and the surface impurity distribution level; and a signal adjustment mechanism for adjusting the antenna signal transmission strength of the wireless router based on the determined signal shielding level. The wireless router network communication quality assurance system of the present invention provides critical reference information for adjusting the wireless router's signal strength, thereby ensuring the wireless router's network communication quality.

The invention provides a true color imaging method based on a prism light splitting 3CMOS camera, three prism light splitting channels are respectively received by three image sensors, and the following steps are realized based on an FPGA: prism light splitting non-uniformity correction of RGB three channels, registration of three-channel images, synchronous splicing of three-channel pixel data, and application of an automatic white balance algorithm to color restoration. According to the invention, real-time registration, reconstruction and image processing of images acquired by the prism splitting 3CMOS camera are realized, and higher color precision and better imaging quality are brought.

Systems for stereoscopic visualization with multispectral filter arrays configured for capturing color imaging data and spectral imaging data. A system includes an emitter comprising a plurality of sources of electromagnetic radiation, including a visible source, a first spectral source that emits electromagnetic radiation within a first spectral waveband, and a second spectral source that emits electromagnetic radiation within a second spectral waveband. The system includes a first image sensor comprising a first multispectral filter array, wherein at least a portion of the first multispectral filter array transmits reflected electromagnetic radiation within the first spectral waveband. The system includes a second image sensor comprising a second multispectral filter array, wherein at least a portion of the second multispectral filter array transmits reflected electromagnetic radiation within the second spectral waveband. The system is such that the first spectral waveband is different from the second spectral waveband.

The invention discloses an airborne infrared radiation characteristic measurement pod device. The airborne infrared radiation characteristic measurement pod device comprises a detection unit, a control unit and a servo platform, the detection unit and the control unit are mechanically connected with the servo platform through screws; the detection unit and the control unit are electrically connected with the servo platform through a connector; the detection unit comprises a visible light panchromatic camera, a medium-wave thermal infrared imager, a long-wave thermal infrared imager, a laser range finder and an atmospheric corrector; the control unit comprises a main control assembly, an air pressure control assembly, a temperature control assembly, a black body assembly, a POS assembly and a power supply assembly. The servo platform comprises a shell, an azimuth frame, a pitching frame, a damping assembly, a direct-current brushless torque motor, a rotary transformer and an encoder. The device is suitable for being installed on platforms such as manned aerial vehicles or unmanned aerial vehicles of rotor wings and fixed wings, visible light panchromatic imaging, medium-long wave infrared imaging and temperature measurement of targets in an area can be achieved, and meanwhile distance parameters and atmosphere parameter information on a transmission path are collected.

The invention belongs to the field of biomedical imaging, particularly relates to a multicolor magnetic particle imaging method and system based on magnetic field free line projection decoding, and aims to solve the problems of low imaging efficiency and quality caused by the absence of a relaxation-based multicolor imaging method by using a magnetic field free line in the prior art. The method comprises the following steps: respectively placing N kinds of magnetic nanoparticles in an imaging view center for scanning, and obtaining a time-frequency spectrum center spectral line by adopting time-frequency analysis; scanning an imaging object, acquiring a voltage response signal and performing time-frequency analysis to obtain a time-frequency spectrum; a linear equation set is constructed and solved, and all unknown quantities are obtained; discretely rotating the free line of the magnetic field by P angles, and obtaining the content distribution of N magnetic nanoparticles at each angle; and constructing a sinogram of the N magnetic nanoparticles, performing back projection reconstruction to obtain multicolor images, and superposing the multicolor images to obtain a reconstructed image. According to the invention, relaxation-based multicolor imaging is realized by using the free line of the magnetic field, and the imaging efficiency and quality are improved.

The present disclosure relates to an azide-modified fluorescent π-conjugated polymer and a DNA-modified π-conjugated fluorescent nanoparticle-based protein detection imaging method capable of signal rapid amplification and high throughput. The present disclosure prepares oligonucleotide-modified fluorescent π-conjugated polymers (OCPNs) based on the azide-modified fluorescent π-conjugated polymer. The OCPNs have ultrahigh fluorescence luminance and extremely high detection sensitivity, and can complete detection and imaging of targets in different abundances without the need of an additional fluorescence signal amplification step. In addition, a rapid and specific targeting effect can be achieved with an extremely small dosage and an entire staining and imaging process can be shortened, so that the OCPNs achieve an extremely high imaging efficiency during multi-color imaging and thus exhibit great application prospects.

A tomography imaging system integrating optical microscopic imaging and large sample biological tissue slicing. By means of integration and synchronization of physical slicing and the imaging system, massive three-dimensional image information of an isolated organ or biological tissue can be acquired in a short time. Moreover, the system uses a remote focusing technology to increase an axial scanning speed, greatly shortening the imaging time, and increasing the image data acquisition throughput. In addition, the system is equipped with a dual-excitation optical path for dual-color imaging, so that two different tissue component information can be acquired at the same time.

The invention discloses a color polarization image sensor based on a spectrum routing metasurface, and belongs to the field of image detectors. According to the invention, a color focal plane polarization imaging detection technology is adopted, a superstructure surface with a double-layer structure is used to replace a commercial Bayer array optical filter and a micro-polarization array, and color and polarization information of light can be captured at the same time, so that details and contrast of an image are improved; and the polarization channel and the color channel complement each other, so that color imaging, polarization imaging and color polarization fusion imaging can be carried out in real time according to requirements. According to the method, light guidance and polarization detection are introduced by adopting spectrum routing, so that the object identification and classification capability is enhanced especially in a complex illumination environment, and the material and the surface state can be identified more accurately, thereby providing richer information. Finally, the improvement of the whole technology opens up a new possibility for scientific research and industrial application.

The invention relates to an ink box for color imaging equipment and the color imaging equipment, the ink box comprises a body and a cover plate, the body is sequentially provided with at least three mutually independent ink storage cavities along the left-right direction, the bottom wall of each ink storage cavity is provided with a through hole penetrating through the wall thickness of the ink storage cavity, the body is provided with at least three mutually independent inner cavities, and the cover plate is arranged in the inner cavities. The bottom wall of each inner cavity is provided with an ink jet port penetrating through the wall thickness of the inner cavity, and each inner cavity is correspondingly communicated with one ink storage cavity through a through hole. The inner cavities are divided into two rows in the front-back direction, the inner cavity located on the front side is open towards the front side, the inner cavity located on the rear side is open towards the rear side, and the inner cavities open towards the same side are sequentially arranged in the left-right direction, so that the number of the inner cavities arranged side by side in the left-right direction is small, and the number of the inner cavities arranged side by side in the front-back direction is small. The separating ribs between the two adjacent inner cavities can be thicker, so that the strength of the body is high; the ink-jet ports of the inner cavities are arranged at the edges of the adjacent inner cavities, so that the ink-jet ports are concentrated, the arrangement is compact, and the cost is low.

A kind of lead-free perovskite hemispherical photodetector, preparation method and its application in single-pixel lensless color imaging belong to the field of image processing technology.The detector is composed of chromium electrode layer, electron transport layer, perovskite layer, hole transport layer and metal electrode layer from inside to outside on the spherical surface of hemispherical transparent substrate.The perovskite obtained by the application has strong lead-free and excellent stability, outstanding charge carrier transport capacity, high collection efficiency and strong weak light sensing ability.The application uses perovskite for color imaging, directly converts optical signal into electrical signal, has high sensitivity, shows excellent performance with linear dynamic response range of 146dB, and has the advantages of uniform response capacity and uniform thickness.The halide perovskite used by the application has low cost, short preparation time, does not contain toxic element lead, improves the application range of perovskite detector, and reduces the manufacturing cost and time cost of perovskite detector.

Provided is an image forming apparatus for performing an image adjustment in a monochrome image formation mode. In a case where color information for subsequent images includes a color image, the image forming apparatus does not perform an image adjustment in the monochrome image formation mode. Rather, image forming apparatus performs the image adjustment in a color image formation mode in a case where a subsequent color image is formed.

Near infrared imaging is highly complementary to color imaging having a wide range of applications. For example, in health applications, the near infrared can provide biomolecular information on tissue that is not apparent under visual examination nor from the inspection of color images of tissue. Thus, there is utility in viewing both visible color and near infrared images in combination. Described herein are methods to perform visible and near infrared imaging as well as hybrid visible color and near infrared imaging with a single conventional color filter array RGB sensor. The methods automatically provide spatially co-registered color and near infrared images and the methods can be used as the basis for a multispectral or hyperspectral imaging system.

The invention discloses a double-light-source cooperative control method for a camera, and the method comprises the steps: obtaining the automatic exposure statistical information of an image and an AI target detection result in real time during the operation of a camera system; evaluating image quality based on the automatic exposure statistical information, and deciding whether to turn on an infrared lamp and switch the system to a black and white imaging mode according to an evaluation result; in the black and white imaging mode, if a preset key target is identified based on an AI target detection result, turning on a white light lamp, turning off an infrared lamp and switching the system to a color imaging mode, and if not, deciding whether to switch to the color imaging mode or not according to ambient illuminance; and in the color imaging mode, after the key target disappears, deciding whether to turn off the white light lamp and switch back to the black and white imaging mode or turn off all light sources and maintain the color imaging mode based on the current automatic exposure statistical information. According to the invention, the active color imaging capability for important targets is improved and ensured, and the energy consumption and light pollution of the system are obviously reduced.

The invention discloses a visible light dual-wavelength polarization multiplexing metasurface hologram and a preparation method thereof, and relates to the technical field of micro-nano manufacturing. The super-surface hologram is composed of a super-atom array based on a nanoimprint technology, wherein the period of the super-atom array in the x direction and the period of the super-atom array in the y direction are 450 nm, and the height of the super-atom array is 800 nm. In the superatom array, all superatoms are of cuboid columnar structures, and a main body is composed of a polymer doped with titanium dioxide nanoparticles; the size and the position of each super atom are determined according to a GS algorithm; the GS algorithm is used for calculating the phase information of the target image under the polarized light with the corresponding wavelength; the wavelength polarized light comprises X polarized light of 532 nm and Y polarized light of 671 nm. According to the method, the problems of long manufacturing process period, small scale, high cost and the like of a traditional metasurface device can be solved, and a new development thought is provided for a multi-color imaging technology based on metasurface holography.

The invention discloses a modulation degree correction method, device and equipment, a medium and an illumination measurement system, and the method comprises the steps: obtaining a phase-shift fringe image collected by a color imaging device, and enabling the phase-shift fringe image to be obtained through the projection of a measured object through a projection device; solving the phase shift fringe image to obtain an uncorrected modulation degree image; according to color filtering window distribution of a color imaging device, interpolated pixel points of the phase shift fringe image are screened out to serve as interpolation pixel points, and the interpolation pixel points cannot pass through a color filtering window; and calculating the modulation degree of the interpolation pixel point by using a modulation degree correction algorithm, and correcting the uncorrected modulation degree image according to the modulation degree of the interpolation pixel point to obtain a corrected modulation degree image. According to the invention, by correcting the modulation degree, errors caused by interpolation are effectively reduced, accurate modulation degree calculation is realized, and the precision of the illumination measurement system is further improved.

The embodiment of the invention provides an imaging method and device, electronic equipment and a medium, and is used for solving the problem that a full-color imaging partial region is fuzzy under the condition of no light supplement in the related technology. According to the embodiment of the invention, the image sensor is provided with a plurality of optical filters with different thicknesses, and the optical filters with different thicknesses can improve the definition of the areas where the objects with different object distances collected in the image are located, so that the objects with different distances can present clearer details in the multi-frame image. Moreover, after the collection instruction is received, the image collection equipment correspondingly adjusts the focusing parameters of the image collection equipment according to the optical filters with different thicknesses to ensure that each optical filter can work in the corresponding optimal focusing state, and in this way, the image collection equipment can collect multiple frames of images, so that the image collection efficiency is improved. Part of the area in each frame of image has high definition. And fusion processing is carried out on the clear areas in the collected multiple frames of images, so that an overall clear target image can be obtained.

The application provides a heat transfer printing method and an article containing a heat transfer printed image, the heat transfer printing method comprising the following steps: S1: a host computer controls a process cartridge to print carbon powder on a transfer belt according to a preset pattern to form a visible image; S2: the host computer controls the transfer belt to move the visible image formed in the step S1 above a first heating device; S3: a material to be transferred is placed on a bearing part, and a side of the material to be transferred, which needs to be transferred with a pattern, faces the transfer belt; and S4: the host computer controls a heating part to heat, so that heat sublimation dyes in the carbon powder sublimate, and thus the visible image is transferred onto the material to be transferred at one time. The carbon powder is used as a medium to realize the heat transfer printing image transfer process, and the transfer process time is short, the cost is relatively low, and the transfer quality is improved. Meanwhile, one-time color imaging can be realized, and the imaging is transferred again, and the one-time multi-color imaging and one-time heat transfer printing technology bring better printing effect and more convenient operation.

The invention provides a multispectral imaging underwater high-speed image sensor and an imaging method. The multispectral imaging underwater high-speed image sensor comprises a color imaging module, a monochromatic imaging module, an optical filter rotating wheel, a synchronous central control platform, a lighting system, a supporting structure and a waterproof shell. The supporting structure and the waterproof shell fix the multispectral imaging underwater high-speed image sensor at a determined position and guarantee long-term working stability and waterproofness, and the synchronous central control platform controls the illumination system to provide proper underwater illumination conditions and controls the optical filter rotating wheel to be in a required imaging wave band. And synchronously controlling the color imaging module and the monochromatic imaging module to acquire video images, transmitting the video images back to the synchronous central control platform, performing video compression processing on the video images, and pushing the video images to an upper computer for display. The high frame rate can significantly improve the image ghost problem of fast swimming fishes, infrared band imaging supported by the optical filter rotating wheel and the illumination system has a longer observation distance than a visible band, and a clearer imaging effect can be obtained in a high-turbidity environment.

The invention provides a method for jointly optimizing a color imaging system based on a metasurface by using a shunt mode and image reconstruction. The method comprises the following steps of: establishing a micro mathematical model of an image sensor based on a shunt; establishing a deep neural network capable of simultaneously processing a plurality of image processing tasks to realize image reconstruction; the image model based on the splitter is realized as a shunt network; and the parameters of the shunt network and the reconstruction network are jointly trained to realize automatic optimization of the shunt mode. According to the invention, automatic optimization of the shunt mode can be realized, and the overall efficiency and accuracy of image sensing and reconstruction are improved.

An apparatus, system, and method are provided for processing an output of a color camera device such that the color camera device can be used to measure color consistency and resolution of an optical system. The processing includes converting an output of the color camera to an XYZ color space using a conversion matrix. A conversion matrix is generated by capturing color images of light of three different wavelength ranges and colorimeter measurements. The processing further includes overcoming the demosaicing effect of the color camera to measure the resolution of the optical system using the optical test target displayed by the optical system. The optical test target has a consistent appearance in the direction of uniformity. A resolution is determined based on a one-dimensional image generated by performing a mathematical operation in a direction of uniformity.

Near infrared imaging is highly complementary to color imaging having a wide range of applications. For example, in health applications, the near infrared can provide biomolecular information on tissue that is not apparent under visual examination nor from the inspection of color images of tissue. Thus, there is utility in viewing both visible color and near infrared images in combination. Described herein are methods to perform visible and near infrared imaging as well as hybrid visible color and near infrared imaging with a single conventional color filter array RGB sensor. The methods automatically provide spatially co-registered color and near infrared images and the methods can be used as the basis for a multispectral or hyperspectral imaging system.