44 results about "Colour filter array" patented technology

Each smallest repeating unit (SRU) in a colour filter array has a first sub-unit (FSU) and a second sub-unit (SSU). For a first sub-image, first image data is read out from photo-sensitive cells that correspond to FSUs of SRUs lying in a row (R1-R3) or column, and by skipping reading out from photo-sensitive cells that correspond to SSUs of a first predefined percent (FPP) of the SRUs, while reading out the first image data from photo-sensitive cells that correspond to SSUs of a remainder of the SRUs. For a second sub-image, second image data is read out from photo-sensitive cells that correspond to FSUs of the FPP, whilst skipping reading out from photo-sensitive cells that correspond to FSUs of the remainder, and by skipping reading out from photo-sensitive cells that correspond to the SSUs of the SRUs. Sub-pixel shift is performed between the sub-images. Image(s) are then generated from the sub-images.

A CMOS image sensor includes a unit pixel array including a photodiode array, a color filter array, a micro-lens array, and a grid isolation structure laterally separating adjacent color filters. The grid isolation structure includes a first low-n grid, a second low-n grid underlying the first low-n grid, and a metal grid within the second low-n grid, the first low-n grid being narrower than the second low-n grid. The color filter array includes color filter matrixes, all color filter matrixes have the same arrangement pattern. Sizes of color filters in each color filter matrix vary depending on locations of the color filters in the color filter matrix. In an edge portion, a distance between a center of a color filter matrix and a center of a corresponding unit pixel matrix in plan view varies depending on a location of the unit pixel matrix in the CMOS image sensor.

An electronic device includes: memory; a color filter array (CFA); an image sensor operatively connected to the CFA, the image sensor being configured to capture a plurality of images respectively having a plurality of measured spectral densities in a plurality of spectral bands; and a processor operatively connected to the at least one memory and the image sensor, wherein the at least one processor is configured to: measure a plurality of crosstalk values in a plurality of pixels and in a plurality of K channels of the plurality of images (the K represents a number of pixels per a color of the CFA), estimate a plurality of spectral-crosstalk values by applying an estimation function to the plurality of crosstalk values, and control to store, in at least one of the memory, the image sensor, or the processor, the estimated plurality of spectral-crosstalk values.

Disclosed is an imaging system with an image sensor and processor(s). The image sensor has a plurality of photo-sensitive cells arranged on a photo-sensitive surface of the image sensor; a colour filter array with colour filters of at least three different colours; and a polarisation mask with polarisation filters arranged on an optical path of at most a first predefined percent of the colour filters. The processor(s) is / are configured to: read out image data from the image sensor; and process the image data to generate at least one of: a full-resolution colour image, a full-resolution polarisation image, a high-dynamic range (HDR) image.

An electrophoretic display device includes a pixel structure and a color filter array. In the pixel structure, an area of a blue pixel electrode is less than an area of a red pixel electrode, and the area of the blue pixel electrode is less than an area of a green pixel electrode. In the color filter array, areas of red, green, and blue filter units are all substantially the same and the red, green, and blue filter units are overlapped with the red, green, and blue pixel electrodes respectively. A ratio of the area of the red filter unit to the area of the red pixel electrode is RFF; a ratio of the area of the green filter unit to the area of the green pixel electrode is GFF; a ratio of the area of the blue filter unit to the area of the blue pixel electrode is BFF, and BFF>RFF≥GFF.

An image sensor includes a pixel array and a color filter array covering the pixel array, where the color filter array includes a plurality of color filter elements, the plurality of color filter elements include at least one first color filter element and at least one second color filter element, each first color filter element includes a basic color filter and an extended color filter, and each second color filter element includes a plurality of basic color filters. A color of the extended color filter is different from a color of the basic color filter. An optical signal passing through the basic color filter is at least for imaging, and an optical signal passing through the extended color filter is for spectral measurement.

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

Image data from an image sensor is read out, wherein when reading out, processor(s) is / are configured to employ subsampling. The image data is processed, using neural network(s), to generate an image.

An imaging system has an image sensor chip and processor(s). The image sensor chip has a photo-sensitive surface with photo-sensitive cells; a colour filter array with physical smallest repeating units, wherein a given physical smallest repeating unit has array(s) of a first type of colour filters, array(s) of a second type of colour filters, and array(s) of a third type of colour filters; and a controller configured to employ neural network(s) during read out of image data. The processor(s) is / are configured to: receive output image data, wherein a smallest repeating unit in a colour pattern of at least a part of the output image data is different from the given physical smallest repeating unit; and generate an output image.

A method includes obtaining a ground truth image and generating multiple image frames using the ground truth image, a modeled optical blur, and a modeled global motion. The method also includes generating multiple mosaic image frames using the image frames and a color filter array and generating multiple raw input image frames using the mosaic image frames and a noise model associated with at least one imaging sensor. The method further includes providing the raw input image frames to a multi-frame processing pipeline in order to generate synthetic training data. In addition, the method includes training a machine learning-based image processing engine using the ground truth image and the synthetic training data.

The color filter array includes multiple first color resist, multiple second color resists, and second color resists third color resists. The first color resist have a first color. The second color resists have a second color different from the first color. The third color resists have a third color different from the first color and second color. A reflectance of the third color resists is greater than a reflectance of the first color resists and a reflectance of the second color resists, the first color resists are continuously arranged along a first diagonal direction and a second diagonal direction, and the third color resists are not arranged along the second diagonal direction continuously.

An aspect of the present disclosure provides an information processing apparatus, an information processing system, an information processing method, and an information processing program which can suppress a decrease in a recognition rate of recognition processing even in a case where recognition processing is performed using data of a partial region of image data.An information processing apparatus includes a reading unit that sets a readout pixel as a part of a pixel region in which a plurality of pixels is arranged in a two-dimensional array, and controls reading out of a pixel signal from the pixel included in the pixel region; and a setting unit that sets the readout pixel on the basis of color filter array information of the pixel region.

The invention relates to a method for providing a color image based on color data from a sensor with a color filter array. The invention further relates to a computer program, a device, and a storage medium for this purpose.

An electronic device according to an embodiment may include: a display and a camera module including at least one camera disposed under the display and configured to obtain an image of light having passed through the display wherein the camera module may include a first image sensor including monochrome pixels in a first grid pattern and a second image sensor including a color filter array including a plurality of color filters in a second grid pattern, and the second grid pattern may form a specified angle with the first grid pattern.

An image sensor includes a pixel division structure, a light sensing element, a planarization layer, a color filter array layer, and a microlens. The pixel division structure extends through a substrate in a vertical direction, and defines unit pixel regions where unit pixels are formed. The light sensing element is in each unit pixel region. The planarization layer is on the substrate. The color filter array layer including color filters is on the planarization layer. The microlens is on the color filter array layer. The pixel division structure includes a core extending in the vertical direction and a lateral pattern structure on a sidewall thereof. The lateral pattern structure includes a first lateral pattern on a sidewall of a lower portion of the core, an air spacer on the first lateral pattern, and a second lateral pattern on outer sidewalls of the first lateral pattern and the air spacer.

An image processing method is provided. The image processing method is applied to an image signal processor. The image processing method includes the stages detailed in the following paragraph. Binned-Bayer raw data and binned-white raw data are received from an image sensor with an RGBW color filter array. The binned-Bayer raw data include information of red, green, and blue channels for a plurality of pixels. The binned-white raw data include luminance information for the pixels. The pixels are rendered based on both the binned-Bayer raw data and the binned-white raw data.

The invention provides an image sensor and an image processing method and device. The image sensor comprises a color filter array (CFA), and the CFA comprises a first pixel, a second pixel, a third pixel and a W pixel; wherein a first light splitting structure is arranged on the surface of the first pixel, a second light splitting structure is arranged on the surface of the second pixel, and a third light splitting structure is arranged on the surface of the third pixel; the first light splitting structure is used for splitting a first light signal which is not received by the first pixel to W pixels adjacent to the first pixel; the second light splitting structure is used for splitting a second light signal which is not received by the second pixel to a W pixel adjacent to the second pixel; and the third light splitting structure is used for splitting a third light signal which is not received by the third pixel to a W pixel adjacent to the third pixel. According to the invention, the light incoming amount of pixels can be increased, and the purpose of improving the imaging quality in a low-illumination environment is achieved.

The invention provides an image sensor and a manufacturing method thereof, the image sensor comprises a plurality of pixel areas, the method comprises the following steps: forming a first optical active layer of a perovskite type material in the plurality of pixel areas, combining a first material with the first optical active layer in a second pixel area to form a second optical active layer, the first material comprises a first halogen element, and the first halogen element is used for adjusting the light response wave band of the first light active layer to be the light response wave band of the second light active layer. The light response wave band can be adjusted by utilizing the first material, namely, the light response wave band of the light active layer is easy to adjust, and the light active layer with a plurality of different light response wave bands can be formed by utilizing a simple manufacturing process. And the first optical active layer and the second optical active layer are used for carrying out selective optical response, and a Bayer color filter array is not needed for filtering, so that the problem of poor imaging effect caused by the defects of the Bayer color filter array is avoided.

Implementations of camera architectures for combined eye-tracking and outward-tracking are provided. One example includes a near-eye device comprising: a frame comprising an arm; an eye illuminator disposed on the arm of the frame, wherein the eye illuminator is configured to project light to an eye of a user; an imaging system disposed on the arm of the frame, wherein the imaging system comprises: an image sensor; and a color filter array comprising: a first set of filters for allowing the projected light from the eye illuminator to pass; and a second set of filters for allowing visible light to pass; and a lens comprising an optical element for: directing the projected light from the eye illuminator to the eye of the user; and directing light reflected off the eye of the user to the imaging system.

A method of processing image data includes: receiving image data from a color filter array including N×N same color pixels; converting first pixel data in an N×N array into second pixel data in an (N−L)×(N−M) array, wherein the first pixel data is output from the N×N same color pixels; and generating third pixel data in the N×N array by performing reconstruction on the second pixel data, wherein each of “L” and “M” is a natural number that is greater than or equal to 1 and less than N, and “N” is a natural number that is greater than or equal to 2.

A multi-aperture imaging system comprising a first camera with a first sensor that captures a first image and a second camera with a second sensor that captures a second image, the two cameras having either identical or different FOVs. The first sensor may have a standard color filter array (CFA) covering one sensor section and a non-standard color CFA covering another. The second sensor may have either Clear or standard CFA covered sections. Either image may be chosen to be a primary or an auxiliary image, based on a zoom factor. An output image with a point of view determined by the primary image is obtained by registering the auxiliary image to the primary image.

The invention provides a color router design method and device, electronic equipment and a preparation method, and the design method comprises the steps: determining a design target according to an application demand; acquiring sampling data of a target spectrum according to a design target; determining an initial structure parameter of the color router according to a design target and the spectrum sampling data; the color router comprises a plurality of optical diffraction layers which are respectively located at different axial positions; taking the spectral data as a sample, taking preset different area light field intensity proportion data as a sample label, inputting the samples and the sample label into a preset gradient descent algorithm model, training structure parameters of the color router, and continuously updating the structure parameters in each round of training until convergence; wherein the structure parameters comprise the size, the number and the interval of the optical diffraction layer, and the size and the complex amplitude transmittance of diffraction neurons in the optical diffraction layer. The color router is formed by the multiple optical diffraction layers, and the problem that the efficiency of a color filter array is low is solved.

The application discloses a Micro-LED full-color display device structure and a preparation method based on micro-fluid technology and quantum dot ligand engineering photolithography technology, and is characterized in that: quantum dot solution is passed into a micro-channel on a substrate and deposited, and then, through photolithography technology, arraying of a color conversion layer based on quantum dot ligand engineering is realized, and then, the color conversion layer is corresponded with a Micro-LED chip array, a Micro-LED driving layer and a corresponding color filter array above the Micro-LED driving layer one by one, so that the preparation of a Micro-LED full-color light-emitting device is realized. The application breaks through the problems of low material utilization and high cost caused by a traditional quantum dot photolithography technology preparation method of a color conversion layer, and the problems of a complex preparation process in a color conversion layer patterning design scheme based on micro-fluid technology. The application has the advantages of simple preparation process, high material utilization, improved color conversion efficiency and retained high-resolution characteristics of traditional photolithography technology.

A CMOS image sensor includes a unit pixel array including a photodiode array, a color filter array, a micro-lens array, and a grid isolation structure laterally separating adjacent color filters. The grid isolation structure includes a first low-n grid, a second low-n grid underlying the first low-n grid, and a metal grid within the second low-n grid, the first low-n grid being narrower than the second low-n grid. The color filter array includes color filter matrixes, all color filter matrixes have the same arrangement pattern. Sizes of color filters in each color filter matrix vary depending on locations of the color filters in the color filter matrix. In an edge portion, a distance between a center of a color filter matrix and a center of a corresponding unit pixel matrix in plan view varies depending on a location of the unit pixel matrix in the CMOS image sensor.

The invention provides a micro-lens structure of an image sensor and a forming method of the micro-lens structure. The micro-lens structure comprises a photodiode layer, a passivation layer, a color filter array layer, a flat layer and a micro-lens layer which are sequentially formed on a substrate from bottom to top, and one micro-lens array unit is correspondingly distributed above one pixel. The micro-lens array unit is composed of a plurality of connected sub-lenses formed by an integrated structure, the manufacturing process difficulty is reduced, the process realizability is high, and the quantum conversion efficiency (QE) is improved. The micro-lens array unit structure can avoid process challenges caused by direct size reduction, and the feasibility is higher. According to the invention, one pixel corresponds to a plurality of sub-lenses which are connected in an integrated structure, the pixel area below each sub-lens is sufficient in light sensing, and incident beams are concentrated. The micro-lens array unit structure is better in light splitting performance, pixels at the edge of the photosensitive chip are sufficient in light sensing, the problem that the incident angle is very large is solved, the design is more elastic, the process implementation difficulty is low, and the image quality performance is better.

A color electro-optic display includes a layer of electro-optic material having a light-transmissive electrode on a viewing side, an array of pixel electrodes on an opposite side, and a color filter array (CFA) on the viewing side. The pixel electrodes drive selected portions of the electro-optic material between white and black optical states. The CFA includes an array of pixels, each of which has at least three color filter elements. Each color filter element is aligned with a different one of the pixel electrodes such that the color of any color filter element is visible when the adjacent portion of the electro-optic material is driven to the white optical state, and not visible when driven to the black optical state. The colors of the color filter elements have the same lightness or a lightness difference no greater than 10L* to substantially eliminate visible CFA texture patterns in displayed images.

Disclosed is imaging system with an image sensor having photo-sensitive cells arranged on photo-sensitive surface of image sensor; colour filter array (CFA) arranged on optical path of photo-sensitive surface, CFA with: first, second, third and fourth types of colour filters that allow wavelengths lying in first, second, third wavelength ranges, respectively, to pass through; and light valve device having grid of light valves, wherein light valves of grid are arranged on optical paths of at least fourth type of colour filters; and processor(s) configured to: for given colour filter of fourth type, control corresponding light valve during given time period to allow wavelengths lying in first, second, or third wavelength range, to pass through towards given colour filter; read out image data from photo-sensitive cells; and process image data to generate given image.

An imaging system has an image sensor chip and processor(s). The image sensor chip has a photo-sensitive surface with photo-sensitive cells; a colour filter array with physical smallest repeating units, wherein a given physical smallest repeating unit has array(s) of a first type of colour filters, array(s) of a second type of colour filters, and array(s) of a third type of colour filters; and a controller configured to employ neural network(s) during read out of image data. The processor(s) is / are configured to: receive output image data, wherein a smallest repeating unit in a colour pattern of at least a part of the output image data is different from the given physical smallest repeating unit; and generate an output image.

An image sensor includes a pixel division structure including a core and a lateral pattern structure on a sidewall of the core, the pixel division structure extending through a substrate in a vertical direction perpendicular to an upper surface of the substrate, the pixel division structure defining unit pixel regions including unit pixels. The image sensor includes a light sensing element in each of the unit pixel regions, a planarization layer on the substrate, a color filter array layer on the planarization layer, the color filter array layer including color filters, and a microlens on the color filter array layer. The lateral pattern structure includes a second lateral pattern on the sidewall of the core and a first lateral pattern on an outer sidewall of the second lateral pattern, the first lateral pattern includes silicon oxide, and the second lateral pattern includes silicon nitride containing carbon.

One embodiment of the present invention provides an image sensor device. The image sensor device includes a plurality of photoelectric converters, a color filter array, and a plurality of lenses. The color filter array is configured to be disposed on a plurality of photoelectric converters. The plurality of lenses is configured to be disposed on the color filter array. The plurality of lenses includes a first type lens and a second type lens. The second size of the second-type lens is greater than the first size of the first-type lens.