34 results about "Spectral sensitivity" patented technology

The invention relates to sensor system arrangements and configurations. In particular, the invention provides methods, devices, systems and computer program products for integrating, compositing and / or processing data representing a measurable state within a region-of-interest, that has been received from a plurality of sensors that respectively have different input sensitivities, spectral sensitivity ranges and / or input capture ranges.

Optoelectronic measuring device (1) for frequency-resolved measurement of the intensity of electromagnetic radiation (10), comprising multiple measurement channels (M1, M2, ..., M m ), wherein a first of the measurement channels (M1) has a first spectral sensitivity and another of the measurement channels (M2, ..., M m ) exhibits another spectral sensitivity that differs from the first spectral sensitivity, and several collimators (K1, K2, ..., K k ) to collimate the electromagnetic radiation (10), wherein - through each of the collimators (K1, K2, ..., K k ) a separate optical path to one or more of the measurement channels (M1, M2, ..., M m ) runs and each of the measurement channels (M1, M2, ..., M m ) is arranged, an intensity of the collimators (K1, K2, ..., K) is arranged, an intensity of the collimators (K1, K2, ..., K k ) collimated electromagnetic radiation (10) to measure, - the optoelectronic measuring device (1) more collimators (K1, K2, ..., K k ) as measuring channels (M1, M2, ..., M m ) includes, and - the optoelectronic measuring device (1) comprises a radiation distribution means (3) which is set up and arranged to direct the electromagnetic radiation (10) onto the collimators (K1, K2, ..., K k ) to distribute, wherein the radiation distribution means (3) comprises a scattering element and / or an optical fiber.

To provide a sensitivity measuring device and a sensitivity measuring method capable of measuring spectral sensitivity distribution of a light receiving element to be measured in a short time.SOLUTION: The sensitivity measurement device includes a light source, an optical system, a light collection mechanism, a position adjustment mechanism, a measurement unit, and an analysis unit. The optical system is configured to generate an interference wave by splitting light from a light source into two beams and causing the two beams to interfere with each other, and includes an optical path length difference changing mechanism configured to change an optical path length difference. The condensing mechanism condenses the interference wave at an irradiation position on the light receiving surface of the measured light receiving element. The position adjustment mechanism changes an irradiation position of the interference wave in a direction along the light receiving surface. The measurement unit controls the irradiation position and acquires a signal obtained by converting the interference wave from the light receiving element to be measured. The analysis unit calculates a component of the signal of each wavelength by Fourier transform of an interferogram obtained from the optical path length difference changed by the optical path length difference changing mechanism and the intensity of the signal measured by the measurement unit.SELECTED DRAWING: Figure 1

The application provides a detection method for the effect of longitudinal chromatic aberration defocus signals on eye refraction development, which comprises the following steps: obtaining a spectral sensitivity function of human eye cone cells; obtaining a first target defocus signal based on the spectral sensitivity function; performing an influence experiment of a display image longitudinal chromatic aberration defocus signal on human eyes based on the spectral sensitivity function, and obtaining a second target defocus signal; performing an animal level in-vivo detection experiment based on the spectral sensitivity function, and obtaining a third target defocus signal; and performing a molecular level analysis experiment of the effect of the image longitudinal chromatic aberration defocus signal on eye refraction development based on the in-vivo detection experiment. The method provided in the embodiments of the application can analyze the effect of DI-LCA defocus signals on refraction development through cone cells from three levels of tissues, animals and molecules, and preferably target defocus signals, thereby providing support for the research and development of display driving programs and devices for reducing the risk of myopia.

Provided are a light emitting device capable of reducing glare, a headlight, and a vehicle including the same.The light emitting device comprises: a light emitting element having a light emission peak wavelength in a range of 400 nm or more and 490 nm or less; and a wavelength conversion member including a first fluorescent material having a light emission peak wavelength in a range of 480 nm or more and less than 580 nm and a second fluorescent material having a light emission peak wavelength in a range of 580 nm or more and 680 nm or less and having a composition different from that of the first fluorescent material, wherein the light emitting device emits light having a first luminance ratio Ls / L that is 0.9 or less, where Ls / L is a ratio of a first effective radiance Ls of the light emitted by the light emitting device in consideration of a spectral luminous efficiency curve for photopic vision of humans specified by the CIE (Commission Internationale de l'Eclairage) and S-cone spectral sensitivity of humans, to a luminance L of the light emitted by the light emitting device in consideration of the spectral luminous efficiency curve for photopic vision of humans.

To provide a technique for reducing a work load for performing color matching between cameras for a color whose spectral reflectance is not acquired in advance.SOLUTION: An information processing device includes an acquisition unit configured to acquire a first image captured by a first imaging device under first illumination, and a first calculation unit configured to calculate spectral reflectances of first one or more colors corresponding to one or more pixels in the first image based on a pixel value of each of the one or more pixels in the first image, spectral reflectances of three primary colors measured in advance under second illumination, spectral sensitivity of the first imaging device, and a spectral distribution of the first illumination.SELECTED DRAWING: Figure 2

The invention relates to a color correction method, a spectrum sensing device and an imaging device. The color correction method comprises the following steps: acquiring spectral data of current ambient light; based on the spectral data of the current ambient light and a spectral sensitivity function of the imaging equipment, calculating an original multi-channel response value of the imaging equipment for a specific reflectivity sample; acquiring a stimulus value of the specific reflectivity sample in a target color space; calculating a conversion mapping from the original multi-channel response value to a stimulus value in the target color space; and applying the conversion mapping to an image currently shot by the imaging device to convert the image to the target color space, and performing color correction on the image in the target color space. Therefore, the original multi-channel response value of the imaging equipment can be converted into the target color space based on the spectral data of the current ambient light, so that the color correction precision of the imaging equipment is improved.

Method for scanning an object (3) using an imaging technique, wherein the method comprises the steps: - Simultaneous illumination of an object (3) with at least two different light sources (17, 26, 30), wherein the light sources (17, 26, 30) have different light spectra (33, 34, 35), - Scanning the object (3) using at least two sensors which have different spectral sensitivities (36, 37, 38), and - Separating the intensities of the light spectra (33, 34, 35) of the at least two light sources (17, 26, 30) in the sensor signals detected by the sensors using specific sensitivities of the respective sensors for the different light spectra.

Device (100) for determining the image quality of at least one image for a test specimen (105), wherein the device (100) has the following features: - at least one projection unit (115) for emitting light (120) in the direction of the test object (105) in order to project at least one luminous and / or illuminated object structure (300) onto the test object (105); - optical receiving unit (110) for receiving light rays (130) of the light (120) transmitted through or by the test object (105) or reflected, which represent at least one image of the projected object structure (300), wherein the receiving unit (110) comprises an optical device (135) and an optical detector (140) and wherein the receiving unit (110) is adjustable or variable in its spectral sensitivity; - a mounting unit (145) for holding the test specimen (105), wherein the mounting unit (145) is arranged between the projection unit (115) and the optical receiving unit (110); and - a computing unit (150) for simultaneously evaluating a first light parameter (825), representing at least one optical light parameter, and a second light parameter (830), representing at least one colorimetric and / or photometric light parameter, of light rays (130) of the light (120) transmitted through or on the test object (105) and received using the receiving unit (110), in order to determine the image quality of the at least one image for the test object (105), wherein the computing unit (150) is connected to the projection unit (115), the receiving unit (110) and / or the mounting unit (145).

In some embodiments, a sensing device, and in particular, a modular spectral imaging device is described. The sensing device compiles one or more spectral images of an object in a point-by-point scan. The sensing device and related methods for scanning stationary objects provides spectral and spatial discrimination. Unlike conventional line scan or snapshot style devices, this system includes a sensor configured to function as a single pixel photodetector to sample a single point of a sample object. Spectral discrimination refers to isolating specific wavelengths of light within a spectral sensitivity range of a detector. Spatial discrimination refers to imaging an object within multidimensional space. The sensing device allows for configurability of both spectral bands and spatial resolution across a wide range of spectral sensitivities. Temporal scanning techniques are used to build up a multi-dimensional image. Modularity and automation are used to provide a broad range of capabilities.

An optical CRA detector unit (14) with an optical CRA sensor (26) arranged on a substrate (22), wherein the optical CRA sensor (26) comprises a number of CRA detector pixels (30) with the same spectral sensitivity, each generating a radiation intensity signal, wherein the radiation intensity signals generated by the CRA detector pixels (30) are provided to generate a parameter characteristic of the principal beam angle (CRA) of the radiation intensity of the CRA detector unit (14), enabling a particularly compact and miniaturized arrangement.According to the invention, this is achieved by providing an aperture element (32) which is arranged above the optical CRA sensor (26) with respect to the substrate (22), wherein the aperture element (32) comprises a flat, laterally extending refractive element (34) which defines a top (36) and a bottom (38), wherein the top and the bottom (36, 38) are provided with an upper aperture layer (40) and a lower aperture layer (42), respectively, and wherein the upper aperture layer (40) is provided with an upper aperture (44) and the lower aperture layer (46) with a lower aperture (46) which has a lateral size of at least the lateral size of the upper aperture (44).

The application discloses a kind of high sediment concentration remote sensing inversion method and device of suspended load based on Sentinel-2 image, first, the satellite multispectral data and measured sediment concentration data of target water area are collected, and are preprocessed;Then the initial spectral feature set including the band feature combination of visible light-short wave infrared range is constructed, then the cross-validation recursive feature elimination algorithm (RFECV) is used to carry out preliminary screening from initial feature library, then according to spectral sensitivity analysis, the optimal feature subset is obtained by fine screening;Again, using random forest (RF) model is based on optimal spectral feature and sediment concentration data set training, constructs suspended load sediment concentration inversion model;Finally, the model is applied to realize the remote sensing inversion of high sediment concentration of suspended load, generates the sediment concentration time series of target water area.The present application effectively overcomes the common spectral saturation problem under high sediment concentration condition, can realize high-precision inversion in 0-45 kg / m³ concentration range, significantly improves the robustness and accuracy of suspended load high sediment concentration remote sensing inversion.

An optical CRA detector unit (14) includes an optical CRA sensor (26) disposed on a substrate (22), where the optical CRA sensor (26) includes a plurality of CRA detector pixels (30) having the same spectral sensitivity, each CRA detector pixel generating an irradiance sensor signal, where the irradiance sensor signal is transmitted to the substrate (22). The irradiance sensor signals generated by the CRA detector pixels (30) are provided with parametric characteristics of the chief ray angle (CRA) for generating the irradiance of the CRA detector unit (14), should allow a specific compact and miniaturized package. According to the invention, this is achieved by providing an aperture element (32) disposed above the optical CRA sensor (26) with respect to the substrate (22), the aperture element (32) comprising a flat, laterally extending refractor element (34) defining a top surface (36) and a bottom surface (38) wherein the top and bottom surfaces (36, 38) are provided with a top aperture layer (40) and a bottom aperture layer (42), respectively, and wherein the top aperture layer (40) is provided with a top aperture (44) and the bottom aperture layer (46) is provided with a bottom aperture (46), the lateral dimension of which is at least the lateral dimension of the top aperture (44).

The photographing device (15) of the present application is provided with a camera (30), light sources (21-23), a band-pass filter (31), and a conversion unit (60). The camera (30) is provided with an image sensor (33) having a color filter of N bands (N is a natural number of 3 or more). The light sources (21-23) of M types (M is a natural number of 2≦M≦N) have emission spectrum characteristics each having a peak in a different wavelength region from each other within a visible light region and a near-infrared region. The conversion unit (60) performs matrix operation on a photographing signal (S1) of N bands obtained by the image sensor (33) when the camera (30) photographs an article (12), thereby generating image signals of M bands each having a spectral sensitivity in a different wavelength region from each other. The light directions and the emission intensities of the light sources (21-23) are selected respectively.

A substrate processing apparatus that can radiate light on a composition in an optimum radiation amount based on acquired spectral sensitivity characteristics can be provided. A substrate processing apparatus configured to perform pattern formation processing on a composition on a substrate includes a first radiation unit configured to radiate first light onto the substrate, a dispenser configured to apply the composition to a first position inside the substrate processing apparatus, a template holding unit configured to hold a template to be brought in contact with the composition on the substrate, and a controller configured to control a radiation amount of the first light to be radiated by the first radiation unit based on spectral sensitivity characteristics of the composition that are measured in advance.

The invention relates to a method for dicing a substrate coated with an optical filter coating. The first substrate is coated with an optical filter coating configured with a specific spectral sensitivity. The method comprises the steps of: forming a substrate stack by disposing a second substrate over the optical filter coating of the coated substrate such that the optical filter coating forms an interlayer between the first substrate and the second substrate; and dicing the substrate stack into a plurality of individual portions. Each portion comprises a part of the coated substrate and a part of the second substrate with a part of the optical filter coating as an interlayer in between the part of the first substrate and the part of the second substrate. The individual portions may serve as filters of an optical filter system. The optical filter system may be part of an optical measurement device.

An information processing device according to an embodiment includes a calculating unit that calculates combinations of illuminating light and materials constituting one or more objects on the basis of the spectral reflectance of the materials, the spectral distribution of illuminating light, and a color matching function corresponding to the spectral sensitivity of the human eye, such that when illuminating light from an illuminating device comprising a combination of light sources that emit light having a first spectral distribution is emitted at the one or more objects, made from a plurality of materials having different spectral reflectances, a plurality of hues are perceived by an observer, and when, instead of emitting said light, illuminating light from an illuminating device comprising a combination of light sources that emit light having a second spectral distribution different from the first spectral distribution is emitted at the one or more objects, some of the plurality of hues are perceived as different hues by the observer.

The application discloses a kind of ocean oil pollution detection methods based on ultraviolet-visible light multimodal fusion, belong to marine environment monitoring field.The method is first to ultraviolet and visible light image pre-processing, constructs and trains by MobileNetV4 and ResNet18 The double-branch feature extraction network is extracted;Double-mode deep feature is extracted, and the weight is dynamically calculated by spectral sensitivity weighting module and adaptive weighted fusion is completed, and modal fusion feature is obtained;Finally, the feature is input into improved BiFPN to complete multi-scale weighted fusion, introduce 4 cross-modal multi-head attention mechanism to enhance features, output oil spill segmentation and detection results.The application deeply fuses double-mode complementary information, realizes multi-scale feature adaptive fusion and enhancement, reduces the complexity of calculation while ensuring high precision and strong robustness of detection, and can realize high-precision real-time detection of ocean oil pollution on resource-constrained edge platform, effectively solve the technical problems that single optical mode is easily disturbed by light, oil-water background is confused and edge device power is limited in complex sea conditions.

Possess: multiple color sensing part (51) ~ (54), including multiple color filter (511) ~ (541) and receive the light of multiple light receiving sensor (512) ~ (542) through each color filter (511) ~ (541); Multiple signal processing circuit (61) ~ (64) correspond to each of the multiple color sensing part, input from each color sensing part (51) ~ (54) signal, have integral function; Operation part (7), the output from each signal processing circuit (61) ~ (64) is operated. Multiple color sensing part (51) ~ (54) includes the color sensing part with the spectral sensitivity corresponding to the X component, Y component, Z component of the color matching function, the second color sensing part (52), (53) with the spectral sensitivity corresponding to the Y component is multiple. Each signal from the second color sensing part (52), (53) is processed in the corresponding signal processing circuit (62), (63), and is added in the operation part (7).

An optoelectronic measuring device may be used for the frequency-resolved measurement of an intensity of electromagnetic radiation. The device may include a plurality of measurement channels. A first of the measurement channels may have a first spectral sensitivity, and a further of the measurement channels may have a further spectral sensitivity different from the first spectral sensitivity. The device may further include a plurality of collimators for collimating the electromagnetic radiation. A separate optical path may extend through each of the collimators to one or more of the measurement channels. Each of the measurement channels may be arranged to measure an intensity of the electromagnetic radiation collimated by means of one or more of the collimators. The optoelectronic measuring device may have more collimators as compared to measurement channels.

A system for capturing color images comprising an image sensor with an array of light sensitive photosites of a plurality of colors. Each color has its own spectral sensitivity. Colors with a substantially low color separation are assigned a substantially high density of pixels in the photosite array and colors with a substantially high color separation are assigned a substantially low density of pixels in the photosite array. A digital image signal processor is adapted to receive a raw mosaicked image from said image sensor when the image sensor is impacted with light, and to reconstruct a full color image from the raw image data. Optionally, the raw image data is demosaicked, a chroma denoiser is applied to the image data and the image data is converted to a specified color space, wherein application of the chroma denoiser and conversion to a specified color space are performed in any order.

The application discloses a computer vision-based garden landscape design system and method, and relates to the technical field of computer vision, which comprises the following steps: receiving plant variety data, environmental parameter data and night spectrum distribution data of a night lighting area, extracting corresponding spectral sensitivity functions according to the plant variety data, combining the environmental parameter data and the night spectrum distribution data to calculate a light influence factor, identifying the current growth stage of the plants in the night lighting area if the light influence factor exceeds a preset threshold, extracting corresponding spectral target curves, combining the night spectrum distribution data and the spectral sensitivity functions to calculate a comprehensive spectral mismatch index, and finally obtaining a target output spectrum for guiding light adjustment in the area by optimization solution under the condition of meeting the preset visual brightness and change rate constraints; the beneficial effects are that the influence of night light on the photoperiod of plants can be quantitatively evaluated, the risk of ecological disturbance is reduced, and the landscape effect is dynamically optimized.

The invention relates to a spectrum reconstruction and camera spectrum sensitivity optimization system and method, and the method comprises the steps: setting a sensitivity-parameter device, a multispectral image generation module, a multispectral camera and a spectrum reconstruction module, and enabling the sensitivity-parameter device to carry out the spectrum reconstruction through a fusion algorithm of a convolution and residual network, and performing wave band mapping on the hyperspectral data extracted from the database to obtain a plurality of sensitivity values. Moreover, the sensitivity-parameter device can obtain filter structure parameters corresponding to the sensitivity values through a finite difference time domain method according to the sensitivity values, and the filters contained in the multispectral camera are in one-to-one correspondence with the filter structure parameters obtained by the sensitivity-parameter device. The sensitivity-parameter device not only realizes high-efficiency automatic acquisition of structural parameters of the filter, but also optimizes the spectral sensitivity of the camera, so that the combination of the multispectral camera and the spectral reconstruction module remarkably improves the spectral reconstruction precision.

An information processing apparatus includes a control unit. The control unit calculates an RGB value output by an imaging apparatus when imaging of a predetermined color is performed by using the imaging apparatus by using characteristic data related to a spectroscopic sensitivity characteristic of the imaging apparatus, photographing-side spectroscopic data, and color spectroscopic data. The control unit acquires display-side spectroscopic data related to a spectroscopic distribution characteristic of a light source in a display environment in which imaged data imaged by the imaging apparatus is displayed on a display apparatus. The control unit calculates an XYZ value when the predetermined color is displayed on the display apparatus by using the display-side spectroscopic data and the color spectroscopic data. The control unit calculates conversion information for converting the RGB value into the XYZ value.

The invention discloses a garden landscape design system and method based on computer vision, and relates to the technical field of computer vision, and the method comprises the steps: receiving plant variety data, environmental parameter data and night spectral distribution data of a night illumination region, extracting a corresponding spectral sensitivity function according to the plant variety data, and calculating a spectral sensitivity value of the spectral sensitivity function; calculating an illumination influence factor in combination with the environmental parameter data and the night spectral distribution data, if the illumination influence factor exceeds a preset threshold value, identifying the current growth stage of plants in a night illumination area, extracting a corresponding spectral target curve accordingly, and then calculating a comprehensive spectral mismatching degree index in combination with the night spectral distribution data and a spectral sensitivity function; and finally, under the condition of meeting the preset visual brightness and change rate constraint, obtaining a target output spectrum for guiding the light adjustment of the area through optimization solution. The method has the beneficial effects that the influence of night illumination on the plant photoperiod can be quantitatively evaluated, the ecological interference risk is reduced, and the landscape effect is dynamically optimized.

An optical filter assembly comprises a plurality of optical filters and a filter frame holding the plurality of optical filters in a predefined pattern. A method for manufacturing such an optical filter assembly comprises providing diced optical filters, each optical filter having a specific spectral sensitivity. A mold is provided having an open top mold cavity and one or more filling ports which are in fluid communication with the mold cavity. The optical filters are picked and placed in the predetermined pattern in the mold cavity with a gap having a predetermined gap width between the optical filters. A channel grid is formed by the gaps between the optical filters. The channel grid is filled by feeding a liquid resin having a light blocking property to the one or more filling ports, wherein said resin and said gap width are adapted to distribute the resin in the channel grid by a capillary effect. The resin is allowed to cure so as to form the filter frame.

A novel optical functional device that is highly convenient, useful, or reliable is provided. The optical functional device includes a light-emitting function, a photoelectric conversion function, a first electrode, a second electrode, and an optical functional layer. The light-emitting function converts electrical energy into first light, the first light has a first emission spectrum, and the first emission spectrum exhibits a maximum peak at a first wavelength. At a second wavelength, the intensity of the first emission spectrum is 80% of the maximum peak. The photoelectric conversion function has a spectral sensitivity characteristic; at a third wavelength, the spectral sensitivity characteristic has a maximum sensitivity within a range of 420 to 720 nm inclusive; and at a fourth wavelength, the sensitivity of the spectral sensitivity characteristic is 80% of the maximum sensitivity. The third wavelength is positioned closer to the second wavelength than to the first wavelength, and the fourth wavelength is positioned closer to the first wavelength than to the third wavelength.

A communication terminal includes a host (C), a memory, a display device (ET), an input device (ET), a camera (CA) operating in the visible light range, wireless communication circuitry, an acoustic sensor, and an acoustic transducer. It also includes an image sensor (IM) operating in the invisible light range, distinct from the camera and capable of generating a series of pixel images in an invisible spectral domain outside the silicon spectral sensitivity range. The sensor includes an array of photosensitive elements sensitive to light in the invisible light range, the elements being disposed on a non-silicon substrate connected to readout circuitry on a silicon substrate, and bandpass filters (130; 140n; 150n) operating in the invisible light range and inserted into the light path. The terminal is configured to capture a set of images of a scene through multiple exposure stages of the array for multiple different focus axes of the sensor, wherein at least a portion of the pixels receive light emitted from the same part of the scene at different wavelengths in each exposure stage. The terminal also includes processing circuitry capable of combining the images captured in these stages such that the same photosensitive element in the array can be assigned at least two photometric values ​​within a range of at least two different spectral bands, with a resolution higher than the inherent resolution of the image sensor.

The present application relates to a kind of high sensitivity fiber sensing device and high sensitivity fiber sensing device manufacturing method, by setting end face reflection layer in the end face of optical fiber, optical fiber is inserted into insertion sleeve, and the flexible film reflection layer of the other end of insertion sleeve forms the optical concave mirror of convex, the reflectivity of light is improved using the light convergence effect of concave mirror, the efficiency of the light coupling back to optical fiber of the light emitted from optical fiber is improved, and then the fineness and Q value of interference spectrum are improved, higher spectral sensitivity is achieved.Meanwhile, the change rate of sensing device with the change of external physical quantity is improved using the softness of flexible film reflection layer, so that the present device considers spectral sensitivity and mechanical sensitivity, and further improves sensing performance.

This invention relates to the fields of remote sensing image processing and agricultural and forestry monitoring technology, and provides a method and apparatus for compressing spectral data from unmanned aerial vehicles (UAVs). The method includes: acquiring spectral image data of a target area and determining a set of multi-indicator functional traits to be inverted in the target area; calculating the joint importance score of each spectral band to all functional traits based on the set of multi-indicator functional traits using a spectral sensitivity analysis model; dividing each spectral band into a core region, a transition region, and a redundant region according to the joint importance score; employing deep learning-based feature-preserving encoding for the core region, transform encoding for the transition region, and feature extraction encoding for the redundant region; and decoding and reconstructing the encoded streams of each region to obtain the target spectral data used for functional trait inversion. This achieves maximum preservation of key spectral information required for multi-indicator collaborative inversion under high compression ratio conditions, ensuring the accuracy of functional trait inversion in the reconstructed data.