153 results about "Full color" patented technology

The invention discloses a diffusion model remote sensing panchromatic sharpening method based on hybrid convolution and controllable noise cooperation, and belongs to the field of image processing. According to the method, the generative diffusion probability model is introduced into the field of multi-source remote sensing image fusion, the forward noise adding process of the diffusion model is improved, and the image residual error is moved through the set displacement sequence and the noise scheduling strategy, so that the conversion process is effectively improved. And gradually recovering a fused image from a noise image under the condition constraint of a panchromatic image and a low-resolution multispectral image through a constructed hierarchical optimized model of a hybrid convolution architecture. A shallow layer of the encoder adopts depth separable convolution to efficiently extract space details; the deep layer adopts dynamic shape number convolution to improve the multi-scale ground feature characterization capability; the decoder adopts standard convolution to ensure reconstruction stability and spectrum consistency, and cross-level features are fused through jump connection. According to the method, the spatial details of diffusion model remote sensing panchromatic sharpening processing are remarkably enhanced, and the spectrum fidelity is effectively improved.

An image sensor with one or more imaging sensor layers and / or one or more color filter layers is provided. Imaging sensor layers sense different combinations of wavelengths of light depending in part on filtered light passing through the color filter layers. The color filter layers, which can be tunable filters, plasmonic color filters or dielectric subwavelength grating filters, allow certain colors of light to pass through to the imaging sensor layers and block others. The image sensor is connected to control circuitry that measures the properties of light received at each imaging sensor layer, reconstructs the color components of each pixel of the imaging sensor layers based on these measurements, and generates full-color image data from the color components. Methods of manufacturing the image sensor are also provided using lithography and securing the layers in a sensor stack using a bonding substrate.

An image sensor with one or more imaging sensor layers and / or one or more color filter layers is provided. Imaging sensor layers sense different combinations of wavelengths of light depending in part on filtered light passing through the color filter layers. The color filter layers, which can be tunable filters, plasmonic color filters or dielectric subwavelength grating filters, allow certain colors of light to pass through to the imaging sensor layers and block others. The image sensor is connected to control circuitry that measures the properties of light received at each imaging sensor layer, reconstructs the color components of each pixel of the imaging sensor layers based on these measurements, and generates full-color image data from the color components. Methods of manufacturing the image sensor are also provided using lithography and securing the layers in a sensor stack using a bonding substrate.

A wearable display system includes one or more nanowire LED micro-displays. The nanowire micro-LED displays may be monochrome or full-color. The nanowire LEDs forming the arrays may have an advantageously narrow angular emission profile and high light output. Where a plurality of nanowire LED micro-displays is utilized, the micro-displays may be positioned at different sides of an optical combiner, for example, an X-cube prism which receives light rays from different micro-displays and outputs the light rays from the same face of the cube. The optical combiner directs the light to projection optics, which outputs the light to an eyepiece that relays the light to a user's eye. The eyepiece may output the light to the user's eye with different amounts of wavefront divergence, to place virtual content on different depth planes.

The invention belongs to the technical field of electroluminescent fiber devices, and particularly relates to a dynamic color-changing electroluminescent fiber device and a preparation method thereof. The electroluminescent fiber device comprises a three-color electroluminescent fiber and a driving control circuit, the three-color electroluminescent fiber comprises an inner electrode conductive fiber, an outer electrode conductive fiber, three luminescent functional layers and a shared electrode; the driving control circuit comprises a lithium battery, an FPGA (Field Programmable Gate Array), an isolation inversion boost module and the like; the lithium battery supplies power to the whole circuit; the circuit system provides four independent output ports which are connected with the four electrodes; the three light-emitting functional layers are of a stacked structure formed by red, green and blue light-emitting active slurry through a step-by-step coating method, and the driving circuit independently controls the active light-emitting layers of the three colors, so that the light-emitting colors are free of crosstalk and can be regulated and controlled in real time, and dynamic color-changing light emitting of full-color-gamut light emitting is achieved. The color gamut is wide, the stability is high, and color crosstalk between the light-emitting layers is avoided; the method is good in repeatability, low in cost and suitable for industrial production.

The invention discloses a wide-spectrum high-resolution hyperspectral video imaging method and device, and the method comprises the steps: carrying out the feature extraction of a plurality of wide-spectrum aliasing wide-spectrum hyperspectral video frames captured by a wide-spectrum hyperspectral sensor in single exposure imaging, and obtaining a hyperspectral output feature; the method comprises the following steps: extracting features for panchromatic video frames of the same scene captured by a panchromatic sensor to obtain panchromatic output features, splicing wide-band spectrum hyperspectral video frames and the panchromatic video frames, and extracting features to obtain space-spectrum features; fusing the hyperspectral output feature, the panchromatic output feature and the space-spectral feature to obtain a final coding feature; the encoded features are decoded to obtain a high resolution hyperspectral video frame. The method aims at recovering spectral information of more wavebands from aliasing spectrums, the problems of spectral aliasing and the like are solved through fusion imaging, and high-resolution hyperspectral videos are obtained.

The invention discloses a gradient-guided panchromatic sharpening method for unlocking spatial textures, which comprises two image processing branches: a guide feature extraction branch for capturing gradient features from gradient amplitudes and generating auxiliary gradient features grads and refined guide gradient features Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr, Gsr and Gsr; gradient features extracted from gradient amplitudes can provide complementary information to promote optimization and improve the overall performance; one branch is a gradient-guided fusion branch, the other branch is a gradient-guided fusion branch, PAN and MSI are combined with extra information of gradient features, and in the fusion branch, a multi-image cross attention module is designed to gradually integrate image features with different spectral bands and resolutions, so that the PAN and MSI fusion process is effectively guided, and the panchromatic sharpening performance is remarkably improved.

The application provides a remote sensing image building extraction and segmentation result regularization method, which comprises the following steps: acquiring a remote sensing image, wherein the full-color spatial resolution of the remote sensing image is greater than 1 m; cutting the image picture to 512*512 as input data; extracting a building probability map in the image picture by using an improved FCN based on DeepLabV3+; and regularizing the probability map by using a trained generative adversarial network, wherein the trained generative adversarial network comprises a generator and a discriminator, and the generator comprises an encoder and a decoder; the full convolutional neural network is trained by using the generative adversarial method, is used for post-processing of a semantic segmentation result of a building in a remote sensing image, and is used for regularizing the semantic segmentation result; compared with a traditional morphological method, the influence of errors in semantic segmentation on subsequent regularization results is reduced, so that regular building contours are generated.

An infrared (IR) full color image sensor includes a CMOS image sensor (CIS), isolation components, red light conversion units, green light conversion units and blue light conversion units. The isolation components are disposed on the CIS to define a plurality of conversion areas. The red light, the green light and the blue light conversion units are respectively located in different conversion areas. Each conversion unit includes an IR filter, an anode layer, a first electron transport layer, a light-absorbing quantum dot layer, a hole transport layer, a light-emitting quantum dot layer, a second electron transport layer and a cathode layer. The cathode layer is in direct contact with the CIS. The light-absorbing quantum dot layer absorbs IR that enters the conversion area through the IR filter and then generates electron-hole pairs. Electron-hole pairs are recombined in the light-emitting quantum dot layer to excite red, green, and blue visible lights.

The invention provides a chromaticity calibration method, device and equipment based on color classification and brightness segmentation. The method comprises the following steps: acquiring a sensor measurement value of a current display picture of a display through a chromaticity sensor; extracting chromaticity features and brightness features of a current display picture according to the sensor measurement value; determining a color category and a brightness category of the current display picture according to a preset category discrimination strategy based on the chromaticity feature and the brightness feature; determining a calibration matrix of the current display picture according to a pre-stored calibration matrix mapping table based on the color category and the brightness category; and performing linear transformation on the sensor measurement value according to the calibration matrix to obtain a corresponding measurement calibration value. Through color and brightness two-dimensional classification and exclusive calibration matrix adaptation, full-color-gamut and full-brightness refined calibration is realized, the color deviation of the full-color gamut is remarkably reduced, and the color rendition precision and the brightness consistency are improved.

A method of constructing a dictionary of kernels for blending in multi-frame processing (MFP) includes generating, for each ground truth (GT) image in a set of GT images represented in a full color space, a corresponding feature matrix by generating a set of synthetic raw images represented in a color filter mosaic space, performing demosaicing and registration operations on each of the synthetic raw images to generate a corresponding registered image, choosing a set of patches in each registered image, the location of each patch in one registered image coinciding with the location of a corresponding patch in each other registered image, generating, for each patch, a corresponding pixel value matrix containing pixel values of each color channel of each pixel included in the corresponding patch, and extracting features from the pixel value matrices and generating the feature matrix corresponding to the GT image based on the extracted features.

The invention relates to a method for preparing a structural color pattern by using a melanin photon material, and belongs to the technical field of structural colors. The method comprises the following steps: S1, under an alkaline condition, carrying out a reaction on PS microspheres and dopamine hydrochloride in a tris (hydroxymethyl) aminomethane-hydrochloric acid buffer solution, and centrifuging to obtain PS (at) PDA microspheres; s2, the PS (at) PDA microspheres are prepared into PS (at) PDA microsphere dispersion liquid, the PS (at) PDA microsphere dispersion liquid is dropwise added to the surface of a silica gel plate, and PS (at) PDA structural color pellets are obtained through drying treatment; and S3, the PS-coated PDA structural color pellets are prepared into PS-coated PDA structural color pellet dispersion liquid, atomization deposition is conducted through a mask technology, and a structural color pattern is obtained. By regulating and controlling the particle size of the PS microspheres and the thickness of the PDA shell layer, the structural color material with uniform color and high color visibility and saturation can be prepared, and finally the preparation of the full-chromatographic structural color covering the whole visible spectrum area is realized.

An image capture apparatus comprises a focal plane array having a first portion and a second portion and a plurality of detectors. The image capture apparatus further comprises a filter device coupled with the covering the first portion of the focal plane array, the filter device comprising at least a first bandpass filter, comprising a first frequency range, and a second bandpass filter, comprising a second frequency range that is different from the first frequency range. The second portion of the focal plan array is uncovered by the filter device.

The invention belongs to the field of optical thin films, and particularly relates to a high-transmission reconfigurable optical thin film based on a perovskite phase change material. The optical thin film comprises a first metal layer, a first transparent dielectric layer, a perovskite phase change material functional layer, a second transparent dielectric layer, a second metal layer and a top transparent dielectric layer from bottom to top to form an F-P resonant cavity structure. Based on the low-temperature-phase low-loss characteristic of a perovskite material and the resonance enhancement effect of an F-P cavity, the resonance wavelength and transmission intensity of the resonant cavity can be dynamically regulated and controlled by changing the thickness or the phase state of the perovskite functional layer, so that the full-color-gamut coverage and gray adjustment from blue to red in a visible light range are realized. The film has the advantages of high transmissivity, high color purity, non-volatile phase change, high switching speed, large-area preparation, good cycling stability and the like, and is suitable for the fields of intelligent windows, dynamic filtering display, high-resolution optical patterning and the like.

This application relates to OLED display panels with unpatterned emissive stacks. Full color display arrangements and device architectures are provided that include a stack of unpatterned organic emissive layers with color changing layers and down-conversion layers to provide individual sub-pixels, with the emissive stack including no more than two unique emission colors.

The application discloses a kind of non-coherent full-color polarized edge imaging system and method based on reverse design photonic crystal, belong to optical imaging and computational optics technical field.System includes non-coherent light source module, polarization-dependent photonic crystal (PDPC) device, imaging detection module and image processing module;PDPC device is made of different all-dielectric material stack, with each layer thickness as trainable parameter, iteration optimization by gradient descent optimization algorithm, with ReLU function constraint lower limit of thickness, obtain optimal structure.Method by collecting orthogonal linear polarization state intermediate image, by spatial difference decomposition, using polarization difference optical transfer function satisfying first-order spatial differential condition, output edge enhancement image containing full color and polarization information.The application does not need coherent light source, it is stable in 400-700nm visible light band Work, high imaging efficiency, contrast ratio is optimal, provide feasible scheme for large-aperture broadband optical simulation processing.

The invention relates to the technical field of remote sensing image fusion, in particular to an image feature optimization fusion method, a panchromatic sharpening method and a product. According to the method, the low-frequency structural features of the PAN low-level features are enhanced through the FMB path in the HCB, the high-frequency detail features of the PAN low-level features are enhanced through the OLFAB path in the HCB, and the enhanced PAN features are generated from the enhanced low-frequency structural features and the enhanced high-frequency detail features at the tail end of the paths through addition. Similarly, the enhanced LRMS features are generated through the HCB. Through N times of HCB optimization, enhanced PAN features and LRMS features meeting preset requirements are obtained, high-frequency details are reconstructed and high-frequency response is enhanced while the continuity of a low-frequency space structure is kept, and spectrum fidelity and space detail recovery are considered; therefore, the technical problem that a traditional feature optimization fusion method is difficult to give consideration to spectrum fidelity and space detail recovery is solved.

This invention discloses a panchromatic image-guided dynamic pre-upsampling method for hyperspectral images. The method includes constructing a dataset, dividing it into training, validation, and test sets, constructing and training a panchromatic image-guided dynamic pre-upsampling network and a detail injection network, and inputting images from the test set into the panchromatic image-guided dynamic pre-upsampling network and the detail injection network to obtain high-resolution hyperspectral images. This invention enhances the generalization ability of hyperspectral images and adapts to extreme conditions.

The homogeneous detection system comprises an energy donor and an energy acceptor, at least two signal sources are provided for the energy donor and the energy acceptor, and the distinguishability of the signal sources comprises excitation wavelength, emission wavelength and / or luminescence lifetime. At least two signal sources are provided, so that at least two different samples to be measured can be measured at the same time, and when the signal sources meet proper conditions and different sensitizers are mixed according to different proportions, the excitation wavelength of the sensitizers can cover the panchromatic gamut. Therefore, during homogeneous detection, any to-be-detected sample can be detected at one time on the premise that the flux is met, and the light source only needs to flicker and excite in a full wave band according to a set program. The high-throughput detection of the same sample can be realized, and the one-time detection of different samples can also be realized, so that the detection efficiency is improved.

A method for processing images acquired by a multi-spectral RGB-NIR (red / green / blue / near infra-red) sensor includes receiving a RGB-NIR digital image from a multi-spectral RGB-NIR sensor, interpolating an NIR contribution to each R, G and B pixel value, wherein an NIR image is obtained, subtracting the NIR contribution from each R, G and B pixel value in the RGB-NIR digital image wherein a decontaminated RGB-NIR image is obtained, constructing a red, green and blue (RGB) Bayer image from the decontaminated RGB-NIR image, and processing the Bayer image wherein a full color image is obtained. The RGB-NIR digital image includes red (R) pixels, green (G) pixels, blue (B) pixels, and NIR pixels, and every other row in the RGB-NIR digital image includes NIR pixels that alternate with green pixels, and every other row in the RGB-NIR digital image includes green pixels that alternate with red and blue pixels.

The invention discloses an acid-base response type organic room-temperature phosphorescent material based on a B-N bond and a preparation method and application thereof. The acid-base response type organic room-temperature phosphorescent material comprises a host matrix and guest molecules doped in the host matrix, the main matrix is poly (4-vinylpyridine); the guest molecule is an aromatic compound with a boric acid ester group; a dynamic B-N coordination bond is formed between boron atoms in the guest molecule and nitrogen atoms of a pyridine group in the host matrix, and the reversible phosphorescence response to an acidic atmosphere and / or an alkaline atmosphere is realized by the acid-base response type organic room temperature phosphorescence material based on the B-N bond through the formation and fracture of the dynamic B-N coordination bond. The B-N bond can also anchor molecules to inhibit non-radiative transition, promote spin-orbit coupling and induce efficient room-temperature phosphorescence. According to the invention, blue-to-red full-color gamut luminescence is realized by adjusting the structure and the concentration of the object, and the blue-to-red full-color gamut luminescent material has super-long service life and high-sensitivity reversible switching The preparation process is simple and environment-friendly, and has wide application prospects in the fields of information encryption, anti-counterfeiting and detection.

The invention discloses a combined panchromatic and hyperspectral imaging lens shared by primary and secondary mirrors. The combined panchromatic and hyperspectral imaging lens comprises a primary and secondary mirror telescope group, a field-of-view separation mirror and a three-mirror aberration correction mirror group. The primary and secondary mirror telescope group is used for receiving target light and converging the target light to the vicinity of the field-of-view separation mirror. And the view field separation mirror is used for turning the light converged by the primary and secondary mirror telescope group and separating the light into a panchromatic view field and a hyperspectral view field. According to the invention, a front-end light-collecting telescope system is constructed by two R-C coaxial reflectors, and an off-axis three-reflector system is connected to correct aberration, so that the design of an imaging system with a large field of view and a small F number is realized; field-of-view separation is carried out on a turning light path near a rear focus of the coaxial primary and secondary mirrors, and respective off-axis three-mirror design is carried out on panchromatic channels and hyperspectral channels of different fields of view in sequence to realize multifunctional imaging; a plurality of turning mirrors are added in respective off-axis three-mirror systems of panchromatic and hyperspectral for optical path folding, so that compact design is realized, and the size of the system is reduced.

A full color display is disclosed. The novel full-color display comprises a plurality of pixel units, each pixel unit at least comprises four sub-pixels, and at least one sub-pixel is a sensitized device with the maximum emission wavelength larger than 500 nm. According to the invention, through collaborative optimization of the performance of each sensitized sub-pixel, double significant improvement of the full-color display color gamut range and the photoelectric conversion efficiency is realized, and then the full-color pixel unit with three core characteristics of high luminous efficiency, long service life and high color purity is obtained.

The invention belongs to the technical field of spectral imaging, and particularly relates to a snapshot spectral imaging system with high energy utilization rate. Comprising a band-pass diaphragm, a pixel-level notch filtering array and a detector which are sequentially arranged in the direction of an optical axis, the band-pass diaphragm is used for transmitting light of a specified wave band, the pixel-level notch filtering array is used for cutting off the light of the specified wave band, and the detector is used for imaging the light transmitting the pixel-level notch filtering array; the pixel-level notch filtering array comprises m * n spectrum channel units, and each spectrum channel unit comprises a * b-1 notch spectrum channels and a panchromatic channel; and the size of the notch film system in each notch spectrum channel is correspondingly smaller than or equal to that of each notch spectrum channel. According to the invention, the energy utilization rate can be obviously improved, the exposure time is reduced, and dynamic scenes and long-distance targets can be detected.

The application discloses a preparation method of full-color laser carbon dots based on rhodamine B derivation, which comprises the following steps: ultrasonic dispersion of rhodamine B in a liquid solvent, continuous heating in an autoclave, and preparation of green, yellow, red and near-infrared light carbon dots after filtration, elution, purification and freeze-drying; when rhodamine B is mixed with NaOH or KOH solid, heating is carried out in a beaker to prepare blue light carbon dots; in the application, rhodamine B is used as a precursor, and the carbon dots are synthesized by a solvothermal method; the excellent gain performance of rhodamine B is expanded from orange and red to the whole visible light and near-infrared light region; even the emission effect can be enhanced through cross-linking; the gain performance of the carbon dots is higher than that of rhodamine B, and the carbon dots have higher fluorescence quantum yield, higher radiation transition rate, lower laser threshold and more excellent laser stability.

A non-lethal projectile launcher toy includes a full-color, high-dot-per-pixel (DPI) printed aggregate coating on a shell (101, 301); the decal coating is not limited to a flat surface, thus allowing for substantially unrestricted product design and substantially undisturbed visual continuity across parting lines between discrete components constituting the shell. The invention also provides methods for producing the decal-coated toy gun using inkjet technology, methods that allow for programmable, high-detail, and full-color-range aggregate coatings to maximize the visual quality of the applied decal.

The invention discloses a terrestrial ecosystem carbon monitoring satellite laser-assisted block adjustment method, which comprises the following steps of: three-dimensional image connection point generation: constructing a multi-stage pyramid for forward-looking and backward-looking 19-degree panchromatic images, and carrying out layer-by-layer matching inspection to obtain intra-scene and inter-scene connection points; free net adjustment: taking the connection point as control, gradually tightening a threshold and eliminating gross errors to obtain free net adjustment RPC irrelevant to absolute elevation; preparing a laser control point; laser-three-dimensional combined adjustment: taking the laser control point and the three-dimensional image connection point as observation values together, and carrying out forward intersection to obtain a corrected intersection control point; and final RPC determination: revising the image RPC again by using the revised intersection control point, and obtaining a final adjustment parameter after iterative convergence. According to the method, combined refinement of the free network and the laser absolute elevation is achieved through three-dimensional connection point hierarchical optimization, laser elevation replacement and distance reciprocal weighted coupling correction, and the geometric precision and reliability of block adjustment are remarkably improved.

1. The name of the design product: laser lamp (10W full color animation wedding hall). 2. The use of the design product: laser lamp for stage. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

A visualized color difference data grading management method and apparatus, a device, and a medium. The method comprises: converting respective RGB values of a plurality of peripheral adjacent colors of a standard color to calculate color differences between the peripheral adjacent colors and the standard color, separately; performing color difference grading on the peripheral adjacent colors on the basis of the color differences; and screening for a target color difference grade close to the color difference of a batch color and a target reference color sample having the smallest color difference value from the batch color in the target color difference grade from a plurality of reference color samples respectively corresponding to different color difference grades, and then performing screen display, so that a user performs visual assessment on the basis of an output display result. The effect of providing a reference color sample having a full color difference grade for any color is achieved, the objective of digital color difference visualization is achieved, and the problems of high costs of visual management and insufficient reliability of digital management in color difference management are solved.