210 results about "Full color" patented technology

The invention discloses a multispectral image panchromatic sharpening method based on plug-and-play gradient feature guidance fusion, through effective extraction and integration of gradient guidance features (GRAD), excellent recovery results are obtained in the aspects of structural fidelity, detail retention and spectral consistency, and in addition, the method has the advantages of being simple in structure and convenient to use. Gradient feature guidance is fused and designed into a highly flexible plug-and-play method, and the existing architecture can be seamlessly enhanced. In particular, the present invention explicitly models a GRAD by integrating fine spatial details of a high resolution PAN with intrinsic spectral information of an MSI. Meanwhile, an attention mechanism and learnable weighting and residual connection are adopted, and selective aggregation and adaptive fusion of image information are realized, so that the MSI quality is remarkably improved. In addition, the GRAD is systematically analyzed from the aspects of structure, detail and spectrum, and the result is optimized through a multi-objective loss function. In this way, gradient information is fully mined, high-frequency details are captured, cross-modal structure guide alignment is achieved, panchromatic sharpening of the multispectral image is flexibly and efficiently achieved, and the panchromatic sharpening performance is improved.

The invention provides a panchromatic sharpening joint optimization method and system based on three-stage progressive fusion. The method comprises three stages of coarse fusion, deblurring detail enhancement and fine fusion. The method comprises the following steps: firstly, performing feature extraction and preliminary fusion on a low-resolution multispectral image and a high-resolution panchromatic image through a dual-path mutual enhancement network; secondly, a multi-layer stacked deblurring module is introduced to perform deep enhancement on fusion features, and the details and definition of the image are effectively improved in combination with partial large kernel convolution, channel mixing and an element-level attention mechanism; and finally, realizing fine optimization of spectrum consistency and a space structure, and outputting a fused image with high spatial resolution and high spectral fidelity. According to the method, the stability and reconstruction quality of panchromatic sharpening under a complex degradation condition are effectively improved through multi-source remote sensing image collaborative modeling and progressive feature fusion, and the method has good practical value and popularization prospect and is superior to a current panchromatic sharpening method based on deep learning.

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 relates to the technical field of display screen correction, solves the problem of low correction precision of optical display parameters on a photoelectric display screen in the prior art, and provides an optical display parameter correction method, device and equipment of the photoelectric display screen. The method comprises the following steps: acquiring a mapping relation between a driving gray-scale value and a tristimulus value of each color sub-pixel on the photoelectric display screen; determining target brightness and chrominance according to the brightness and chrominance distribution characteristics of each color sub-pixel in the correction picture under a preset test condition; according to the mapping relation, the target brightness and chrominance and a brightness and chrominance deviation allowable interval corresponding to the test condition, calculating each color sub-pixel driving gray scale combination of each pixel under the test condition, and determining a target driving gray scale combination; and adjusting driving control parameters of the photoelectric display screen according to the target driving gray scale combination, and outputting the adjusted driving control parameters to the photoelectric display screen. According to the invention, the optical display parameter correction precision under the conditions of low gray scale and full color gamut is effectively improved.

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 fusion full-color spectral data super-high spatial resolution water depth retrieval method comprises the following steps: collecting ICESat-2 satellite water depth data and satellite multispectral image and full-color image data; water depth retrieval is carried out on the original spatial resolution multispectral image to obtain the original spatial resolution water depth data; the multispectral image and the full-color image data are subjected to full-color spectral fusion processing to obtain super-high spatial resolution multispectral image; a machine learning algorithm is used for model training to construct a complex nonlinear mapping relationship between water depth and multispectral reflectivity; and the trained model is used for pixel-by-pixel prediction of the super-high spatial resolution multispectral image to obtain super-high spatial resolution water depth data. The nonlinear mapping relationship between the multispectral image spectral reflectivity and the water depth data of different spatial resolutions is constructed through the machine learning algorithm, and the problem of the decline of the retrieval precision caused by the loss of spectral information in the full-color spectral fusion process is effectively solved.

A photographic film is formed by combining panchromatic black and white emulsion with a color filter array to produce a full color image using only black and white film and processing.

The invention discloses a panchromatic up-conversion single nanocrystal excited by single wavelength as well as preparation and application of the panchromatic up-conversion single nanocrystal. And the up-conversion single nanocrystalline rare earth is doped with up-conversion luminescent nanoparticles UCNPs. The structural composition of the UCNPs is NaYbF4: Er NaYbF4 NaYbF4: Yb, Tm, the UCNPs is realized by constructing a core / shell / shell structure, and the reasonably designed architecture modulates the excitation power density by utilizing a photon-level dependent up-conversion process, so that the emission of green light, red light and blue light is realized. Along with the increase of the power density of the 980nm continuous wave laser, the emission color is systematically changed from green to red and finally to blue. The invention provides a simplified but highly universal excitation scheme for complete RGB adjustability, and has wide application prospects in the fields of advanced high-resolution color displays, anti-counterfeiting, multifunctional biological probes, drug controlled release and the like.

The present application provides a pathological image color correction method and device and readable storage medium thereof, aiming at the problems that the traditional linear method in the prior art is difficult to fit the nonlinear color mapping and depends on manual parameter adjustment, the deep learning method has poor adaptability and insufficient real-time performance, a three-level progressive deep learning network is designed: a general color correction network learns high-order parameters through a complex structure to realize full color correction; a special color correction network realizes automatic color grouping by combining a compatible color loss function based on the feature constraint of the general network, reduces parameters to adapt to limited hardware; a lightweight color correction network further simplifies the structure and realizes efficient real-time correction based on grouped parameters. The three-level network can be flexibly selected according to hardware resources, realizes the adaptation to various staining and devices, balances the correction accuracy and real-time performance, improves the reliability of pathological image analysis, and is suitable for various pathological sections and scanner scenes.

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.

The application discloses a vision protection panel lamp, a panel lamp set and a lighting method thereof. The panel lamp comprises a frame, a diffusion plate and a bottom plate. The diffusion plate is clamped in the frame, and the frame is buckled with the bottom plate. Meanwhile, an LED light source plate, an LED driving device and a female terminal wire are arranged between the diffusion plate and the bottom plate. The female terminal wire is connected with the positive and negative poles of the LED light source plate, and the female terminal wire is connected with the LED driving device. The full-color bionic light source is adopted as the lighting source. By adjusting the cooperation of the lighting color temperature value change and the brightness change, the switching from high brightness to low brightness or the switching from low brightness to high brightness is completed in a specific time during the color temperature gradual change process. The static light is changed into dynamic light, and the visual self-adaptation can be avoided. The bionic change brightness makes people unconsciously blink, and the eye axis is actively adjusted. The technical effects of protecting eyes, reducing eye fatigue, reducing or preventing myopia can be achieved.

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.