346 results about "Full color" patented technology

The invention discloses a panchromatic sharpening method based on multi-resolution panchromatic feature guidance, which comprises the following steps: firstly, designing a multi-resolution feature extraction network based on a spatial frequency Transform module, and respectively extracting multi-scale features from panchromatic and up-sampled multispectral images; secondly, in order to restrain and optimize the extracted detail features, a multi-head self-attention-based texture injection module is adopted to extract a dependency relationship between panchromatic and multispectral features, and more similar detail features are guided to be injected; thirdly, in order to solve information loss caused by multispectral image up-sampling, multi-level detail features are injected into a multispectral reconstruction network, the detail features are learned step by step and reconstructed to a panchromatic image size, and a spectrum fusion module based on adaptive channel attention is utilized to reconstruct a fused image in a high-quality mode; and finally, optimizing the model performance by combining reconstruction loss based on L1 norm, structural similarity constraint and transmission perception loss in training. According to the method, the spectral fidelity and the spatial resolution of the fused image are remarkably improved.

The invention discloses a panchromatic sharpening method based on multi-resolution panchromatic feature guidance, which comprises the following steps: firstly, designing a double-branch feature decomposition module for respectively performing feature decomposition on a panchromatic image and a multi-spectral image to extract low-frequency basic features and high-frequency detail features, and enabling the two branches to share the same shallow feature extraction module; correlation constraint is applied to the extracted basic features; then, aiming at the problem of information redundancy caused by direct serial connection and stacking of the extracted features, performing interactive fusion on the features by using an interactive feature recombination module, and enhancing a long-distance dependency relationship and a global context relationship among different modal features; and finally, an INN-based image reconstruction module is provided, and efficient fusion of the basic features and the detail features is realized through multi-level transformation and mapping. According to the method, cross-modal features can be effectively extracted and recombined and fused, spectrum distortion is remarkably reduced, and the spectrum distortion phenomenon caused by improper feature fusion is effectively avoided.

The invention discloses a multispectral image and panchromatic image fusion method and system based on a full-spectrum space, high-resolution multispectral image reconstruction is performed by using a trained improved double-flow fusion network (TSFNet), and the method comprises the following steps: acquiring a panchromatic image and a multispectral image, and capturing respective spatial features and frequency domain features; splicing the frequency domain features of the panchromatic image and the multispectral image to obtain image frequency domain features; carrying out residual fusion on the image spatial features and the image frequency domain features by adopting a residual fusion module (RFB); and reconstructing a high-resolution multispectral image based on the fused features, and outputting an up-to-standard image after quality evaluation. According to the method, the improved double-flow fusion network (TSFNet) is utilized to effectively balance space-spectrum information, the accuracy of frequency domain information is kept while the spatial resolution is improved, the information loss in the fusion process is small, and a high-quality high-resolution multispectral image can be reconstructed and obtained.

The invention relates to a panchromatic sharpening method and system based on a high-frequency difference space attention mechanism, and the method comprises the steps: carrying out the modeling of a low-resolution multispectral LRMS image into a space degradation version of a high-resolution multispectral HRMS image, obtaining a spectrum fidelity term, generating an attention injection weight map through an attention injection module, and carrying out the processing of a spectrum fidelity term. Respectively inputting the panchromatic PAN image and the low-pass filtering image into a difference attention book module to calculate to obtain a high-frequency difference attention graph, then constructing a high-frequency difference space fidelity term according to an attention injection weight graph and the high-frequency difference space attention graph, and introducing a logarithm nuclear norm of a high-resolution multispectral HRMS image to obtain a high-resolution multispectral HRMS image; according to the method, a spectral fidelity term is combined with a high-frequency differential space attention space fidelity term and a tensor low-tube-rank constraint term, a panchromatic sharpening algorithm mathematical model is built, finally, a substitution direction multiplier method is adopted to carry out optimization solution on the mathematical model, and finally, a high-resolution multispectral HRMS image result is output.

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.

The invention discloses a snapshot multispectral camera demosaicing method and device based on a binary tree coating array, and the method comprises the steps: extracting a plurality of single-spectrum mosaic images according to a multispectral original image and a spectrum, and carrying out the estimation of a pseudo panchromatic estimation image according to the multispectral original image; calculating a difference value between each spectral band sparse pseudo panchromatic estimation image and the original spectral band sparse image, and calculating difference values at all pixel positions; adding the difference image after filtering interpolation with the pseudo panchromatic estimation image to obtain a demosaicing reconstruction result based on the pseudo panchromatic estimation image; and enhancing the spatial high-frequency information of the binary tree low-node spectral band image based on the binary tree high-node spectral band image by using the color and spatial correlation between adjacent spectral bands. According to the method, the problem of artifacts caused by weak spectrum correlation of the wide spectrum distribution optical filter can be solved, the artifacts of the reconstructed image are reduced, and the spatial resolution capability of the demosaiced image is improved.

The invention discloses a visible light and infrared dual-band laser multi-spectrum compatible stealth super-structure film which is of an A / B / A / C basic structure, and a dielectric layer A on the uppermost layer, a dielectric layer A on the middle layer and a metal reflecting layer C on the bottom layer are asymmetrically arranged on the two sides along a central defect film layer B. The invention further discloses a preparation method of the visible light and infrared dual-band laser multi-spectrum compatible stealth super-structure film. According to the invention, the basic structure of the thin film is designed, and the optical resonant cavity is utilized to couple metal defect intercalation and interference effect, so that the full-band selective spectrum regulation and control from the visible light nanometer wavelength to the infrared and laser micron wavelength is realized; the super-structure heterogeneous thin film has the disguise capability of visible light with wide color gamut, full color and high saturation, low emissivity of wide-range infrared band and high absorption of dual-band laser, can realize infrared high-temperature thermal disguise, and breaks through the multi-band compatible stealth performance which can be obtained by complicated and expensive technical means such as photoetching; the method has an excellent military camouflage application prospect.

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 discloses a panchromatic sharpening method based on a progressive expansion frame. The panchromatic sharpening method comprises the following steps: acquiring a to-be-optimized image; the to-be-optimized image is input to a variation optimization model, a clear multispectral image is obtained, the variation optimization model is obtained through training of a training set, the training set comprises the multispectral image and a panchromatic image, the variation optimization model is used for mutually modulating the multispectral image and the corresponding panchromatic image under different scales, and the multispectral image and the panchromatic image are obtained. And supplementing detail information of the multispectral image and retaining spectral features to obtain the clear multispectral image. According to the method, the quality of the fused image is effectively improved on the simulated data set, and the method has better spectral information retention capability and space detail supplementation capability.

The invention relates to full-color erasable thermosensitive photographic paper and a preparation method thereof. The full-color erasable thermosensitive photographic paper comprises a protective layer, a thermosensitive coating and a base material which are sequentially arranged from top to bottom, the thermosensitive coating comprises a yellow thermosensitive coating, a first middle layer, a magenta thermosensitive coating, a second middle layer and a cyan thermosensitive coating which are sequentially arranged from top to bottom. According to the full-color erasable thermosensitive photographic paper prepared by the invention, yellow, magenta and cyan with relatively high color density can be realized, and the situation that the color density of yellow, magenta and cyan in the current thermosensitive photographic paper is not enough is avoided; compared with the prior art, the full-erasable thermo-sensitive paper has the advantages that independent yellow, fuchsin and cyan can be printed, color overlapping can be carried out, and only tiny deviation of color coordinates occurs after 100 times of repeated erasing, so that the full-erasable thermo-sensitive paper can be repeatedly used, and the problems of serious environmental pollution and resource waste caused by the fact that ink-free photographic paper can only be used once in the prior art are solved.

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 Micro-LED full-color display device with a cooling system and a preparation method thereof, the Micro-LED full-color display device comprises a substrate and a cooling channel arranged on the other side of the substrate, so that the cooling channel is integrated on the substrate, cooling liquid is introduced into the cooling channel, and the cooling liquid is used for absorbing and taking away heat of a chip, reducing the temperature of the device and preventing overheating; meanwhile, the other side of the substrate is provided with a plurality of Micro-LED chips, the surfaces of the Micro-LED chips are filled with quantum dot materials, the full-color display effect is achieved based on the color conversion layer technology, the scheme remarkably improves the heat dissipation efficiency, efficient and controllable heat management is achieved, the display function and the heat dissipation function are highly integrated, the space utilization rate is optimized, and the display effect is improved. The requirement for extra heat dissipation elements is reduced, the system cost and the manufacturing complexity are reduced, and the system is suitable for application scenes of miniaturization and high integration level.

The invention relates to the technical field of image enhancement, and discloses a panchromatic image sharpening method based on degradation process consistency, which comprises the following steps: theoretically analyzing a consistency relationship of a degradation process, simultaneously constructing a spectrum degradation network and a spatial resolution degradation network, introducing an operator learning method in the construction of a spectrum model, and constructing a panchromatic image. Constructing an accurate mapping function from a multispectral image to a panchromatic image, and decoupling spectral features and texture features; then, through joint training, an operator and a convolutional network, respectively learning a space degradation process and a spectrum degradation process under full resolution; and the consistency constraint is constructed by introducing the images, so that the panchromatic image sharpening network can be trained under the original full resolution. The unsupervised training constructed by the invention can be applied to the existing panchromatic image method, the availability of the panchromatic image method under the original resolution scale is improved, and the quality of the generated high-resolution multispectral image is improved.

The invention relates to a full color-mixing optical unit with commercially available RGB-LEDs, for pixels of variable message road signs and message boards and other applications. Proceeding from a known embodiment according to WO 2012 / 068603, a previously unknown freedom in the attainable light distribution, which allows for a more accurate adjustment of the light distribution to specifications and for improved mixing of the colors and which may develop novel applications, is disclosed by way of restricting the chips used in the light sources and the geometry of said chips and a modified light guide design. If the employed chips (R, G, B) are present in a linear dense arrangement and have the same size and emission characteristic, then color mixing is required in this linear direction only. The converging lens (7) has a focal point (Fh) on the exit surface (6) in this linear direction but more freedom of design in the transverse direction thereto.

The invention provides a full-color-gamut digital curing illumination method and system, and relates to the technical field of medical illumination, and the method comprises the steps: forming a medical curing light password according to the influence of different illumination parameters on visual and non-visual functions (such as rhythm, emotion, sleep and the like); based on the medical treatment healing light password, developing a digital treatment healing illumination module meeting preset illumination intensity, color temperature range, spectral energy distribution, color rendering and anti-dazzle requirements; performing intelligent regulation and control on a digital healing illumination module according to the scene parameters so as to perform healing illumination on the target user; monitoring the illumination quality of healing illumination, user behaviors and biological indexes in real time, and forming a dynamic healing illumination database according to a monitoring result; and analyzing the healing illumination database, generating a standardized illumination strategy library, and performing scene multiplexing. The illumination quality and the physical and psychological health of the user can be improved, a personalized and standardized illumination strategy can be realized through real-time monitoring and data analysis, and better healing experience is provided for the user.

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.

To provide a method that is different from conventional methods for displaying and reading identification codes such as bar-codes and QR codes, thereby contributing to expanding the range of use by increasing the amount of information that can be added to identification codes and the total number of identification codes.SOLUTION: Identification codes, conventionally displayed in monochrome (two colors), are displayed in full color (multicolor) with numbers and letters arranged, and these codes are read with a code reader using imaging elements that can distinguish colors and shapes. In addition, identification codes, conventionally displayed in two dimensions, are displayed in three dimensions and read with a code reader using laser light transmitting-receiving technology. These methods solve the problem.SELECTED DRAWING: None

Provided is an LED comprised of a single mesa epitaxial stack structure with a set of three p-n junctions and having four electrical contact terminals. A polychromatic, multi / full-color emitting, LED chip is assembled with a backplane and has four electrical contact terminals. The polychromatic LED is transferrable and able to be integrated each individually or as a mass array.

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.

Images perceived to be substantially full color or multi-colored may be formed using component color images that are distributed in unequal numbers across a plurality of depth planes. The distribution of component color images across depth planes may vary based on color. In some embodiments, a display system includes a stack of waveguides that each output light of a particular color, with some colors having fewer numbers of associated waveguides than other colors. The waveguide stack may include multiple pluralities (e.g., first and second pluralities) of waveguides, each configured to produce an image by outputting light corresponding to a particular color. The total number of waveguides in the second plurality of waveguides may be less than the total number of waveguides in the first plurality of waveguides.

The present invention belongs to the field of nanomaterials, and relates to kilogram-level full-color high-efficiency solid-state fluorescent carbon dots and their preparation methods. The method for synthesizing full-color solid-state fluorescent carbon dots comprises the following steps: o-phenylenediamine and 1,2,4,5-pyromellitic anhydride are dissolved in an ethanol aqueous solution according to a molar ratio of 1: (1-11); the resulting solution is then subjected to microwave heating treatment, the microwave heating power is 500-1000W, and the microwave heating time is 5-25min to obtain a carbon dot crude liquid; after the obtained carbon dot crude liquid is naturally volatilized, dimethyl sulfoxide is added thereto to fully dissolve, and centrifuge; the supernatant is taken, water is added, and filtered; the precipitate is taken, dried, and solid-state fluorescent carbon dot powder is obtained; by adjusting the molar ratio of o-phenylenediamine and 1,2,4,5-pyromellitic anhydride, and the microwave heating time, blue solid-state fluorescent carbon dot powder, green solid-state fluorescent carbon dot powder, yellow solid-state fluorescent carbon dot powder, and red solid-state fluorescent carbon dot powder are obtained respectively. The method of the present invention obtains kilogram-level full-color solid-state fluorescent carbon dots with a quantum yield of up to 55.3-27.9% for the first time.

This disclosure provides a demosaicing device and a demosaicing method for image sensor. The method includes capturing a panchromatic image by using a pixel array including switchable pixels and clear pixels, where the panchromatic image is captured when the switchable pixels and the clear pixels are under a clear state. The method includes capturing a chromic image by using the pixel array when the switchable pixels are under a color state and the clear pixels are under the clear state. The method includes performing a weighted average calculation and a signal subtraction on the chromic image and the panchromatic image to generate first resolution chromic images. A resolution of the first resolution chromic images is the same as a resolution of the panchromatic image and the chromic image. The method includes fusing the first resolution chromic images with the panchromatic image to generate demosaiced chromic images.

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.

Disclosed are a lamp color correction method and system, and a storage medium. The lamp color correction method includes: acquiring each monochromatic illuminance, each monochromatic chromaticity coordinate, a first panchromatic illuminance and first panchromatic chromaticity coordinates of a target lamp; acquiring a first parameter if the acquired monochromatic and panchromatic illuminances and chromaticity coordinates are acceptable; acquiring an output value of each monochromatic channel; acquiring a second panchromatic illuminance and second panchromatic chromaticity coordinates of the target lamp; and determining that the target lamp is acceptable and updating the output value of each monochromatic channel to the target lamp, if a ratio of the second panchromatic illuminance to the first panchromatic illuminance is greater than or equal to a preset first threshold and a difference between the second panchromatic chromaticity coordinate and a standard panchromatic chromaticity coordinate satisfies a preset third deviation range.

A method, of operating a display of a computing system, includes: identifying a focused region and a non-focused region of an original image; transforming color values of pixels in the non-focused region from a full color gamut of the display to a power reduced color gamut; generating a remapped image by remapping the non-focused region of the original image with the transformed color values; and outputting the remapped image on the display with the full color gamut in the focused region and the power reduced color gamut in the non-focused region.