WO2012149927A1 - Image sensor with adjustable resolution - Google Patents
Image sensor with adjustable resolution Download PDFInfo
- Publication number
- WO2012149927A1 WO2012149927A1 PCT/DE2012/100070 DE2012100070W WO2012149927A1 WO 2012149927 A1 WO2012149927 A1 WO 2012149927A1 DE 2012100070 W DE2012100070 W DE 2012100070W WO 2012149927 A1 WO2012149927 A1 WO 2012149927A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- image sensor
- sensor elements
- groups
- sensor
- image
- Prior art date
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/40—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled
- H04N25/46—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by combining or binning pixels
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/10—Circuitry of solid-state image sensors [SSIS]; Control thereof for transforming different wavelengths into image signals
- H04N25/11—Arrangement of colour filter arrays [CFA]; Filter mosaics
- H04N25/13—Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements
- H04N25/134—Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements based on three different wavelength filter elements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/40—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled
- H04N25/44—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by partially reading an SSIS array
- H04N25/447—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by partially reading an SSIS array by preserving the colour pattern with or without loss of information
Definitions
- the invention relates to an image sensor and to a method for operating an image sensor, wherein the image sensor has a multiplicity of sensor elements arranged in matrix form, to which color filters are assigned and which are divided into groups.
- Driver assistance systems used with sensor devices often use a camera system as environment sensor, for example, to detect a variety of objects in the environment of the vehicle.
- the camera systems employed typically use an image sensor (e.g., a CMOS or CCD image chip) mounted in a camera body behind an imaging system, e.g. a lens is arranged.
- an image sensor e.g., a CMOS or CCD image chip
- a camera system of this type is known for example from DE 30 21 470 C2.
- the system described therein has an image sensor with a plurality of picture elements, which are arranged in rows and columns and detect electromagnetic radiation which is projected by means of a shareholders' chanc ective on the image sensor.
- image sensors are already known which are able to recognize colors, e.g. by means of
- CMOS image sensor includes a sub-layer or substrate having photodiode regions and metal lines formed in a semiconductor substrate to generate charges in response to incident light Dielectric interlayer formed on the entire surface of the underlayer, color filter layers of red, green and blue formed on the dielectric interlayer to respectively pass light of particular wavelengths to the photodiode regions
- Planarization layer formed on the color filter layers and convex microlenses having a certain curvature and formed on the planarization layer for converging light to its corresponding color filter in the color filter layers and thereby converging color separated light on the photodiode areas to let.
- image sensors with color detection (color image) and with a resolution (number of pixels) of significantly larger than one megapixel are increasingly needed.
- image sensors which are usually provided with a Bayer color filter (Bayer pattern), so-called "binning" several pixels -typically 2 or 4 pixels, for example by adding the brightness values, either analogously by charge addition or charge transport or digital by adding the digitized values, interconnected to a pixel and thus evaluated summarized become.
- the photosensitivity of the image sensor can be increased, the resolution and at the same time the required computing power can be reduced and, among other things, the noise ratio can be improved.
- Such image sensors which allow a variable resolution, are usually operated completely in high-resolution mode (without binning) or in low-resolution mode (with binning).
- the disadvantage here is that either in high-resolution mode constantly a greatly increased computing power for image processing is required or in low-resolution mode, the color information is lost.
- K. Hara et al proposed a solution to preserve the color information when reducing CIF format to QCIF, but this requires a relatively complex circuit and the sensitivity of the image sensor is lowered by the method as a whole.
- the invention is therefore an object of the invention to provide an image sensor and a method for its operation to meet the future requirements of camera systems, especially for use as sensor systems in vehicles, the described problems and disadvantages of known systems are avoided.
- An essential idea of the invention is to design a high-resolution image sensor, ie an image sensor comprising a multiplicity of photosensitive sensor elements, with a color filter such that in each case arrays of preferably 2 ⁇ 2 sensor elements with identical color filters lie next to one another.
- the image sensor is operated in such a way that in normal operation the sensor elements are interconnected according to groups (arrays of adjacent sensor elements each having identical filter properties) and the image sensor thus has a reduced resolution compared to the absolute number of sensor elements. For arrays with 2 x 2 sensor elements, the image sensor therefore has a 4-fold reduced resolution.
- color resolution can be achieved by means of demosaicing, as in known image sensors, and at the same time computing power can be saved if high resolution is not required. Is it, however, for example, for the detection of object details required, for example, in the detection of additional traffic signs that for the entire Image sensor or for certain areas a higher spatial resolution is achieved, the sensor elements of all groups or selected groups are evaluated individually (without binning).
- the image sensor is thus operated in particular in such a way that, in the normal case, the resolution is reduced compared with the number of sensor elements, and the image sensor is only used if required with an increased to maximum spatial resolution.
- the color information remains intact in both cases.
- the image sensor according to the invention comprises a multiplicity of sensor elements which form pixels or pixels and are sensitive to electromagnetic radiation, which are arranged next to one another in the form of a matrix, in particular in columns and in rows.
- the sensor elements can be designed in such a way that they convert electromagnetic or optical radiation into electrical energy and / or exhibit an electrical resistance which depends on the incident electromagnetic radiation.
- electromagnetic radiation refers to both visible light, as well as invisible infrared light and ultraviolet radiation.
- the image sensor can be designed, for example, as a CCD image sensor (CCD: Charge-Coupled Device) or as a CMOS image sensor (CMOS: Complementary Metal Oxide Semiconductor), in particular as an active pixel sensor (Active Pixel Sensor, APS), with light-sensitive photodiodes as sensor elements.
- CCD Charge-Coupled Device
- CMOS Complementary Metal Oxide Semiconductor
- active Pixel sensor Active Pixel Sensor, APS
- the sensor elements of the image sensor are associated with color filters, so that each sensor element detects electromagnetic radiation from a specific wavelength range.
- the color filters can be used, for example, as absorbent color masks, in particular in the primary colors red, green and blue and / or in the colors yellow, magenta and cyan, which are preferably arranged directly over the sensor elements of the image sensor.
- Each sensor element provides in this case only information / signals for a single color component of the light or for electromagnetic radiation from the corresponding wavelength range.
- the color filter can in particular also be designed as a thin-layer color filter, with a carrier which is arranged above the sensor elements of the image sensor and on which a color filter is applied, for example as a mixture of organic color pigments and inorganic materials, for example halides.
- the image sensor can also be designed with a microlens color filter system, wherein a color filter layer is formed between the sensor elements and microlenses arranged above them.
- a system that utilizes the different penetration depths of light, in particular of red and blue light, into silicon (Foveon X3 sensor).
- the sensor elements of the image sensor are divided into groups.
- Each group comprises an array of nxm sensor elements, with n> 2 and m> 2.
- the image sensor comprises at least four groups of sensor elements, each group having the same number and the same ratio of nxm sensor elements.
- the sensor elements of a group are assigned the same or the same color filter, ie each group supplies only information or signals for a single color component or for incident electromagnetic radiation from a specific wavelength range.
- the sensor elements of a group can be configured either with separate (ie with the same) color filters having identical filter characteristics, or it can be for all Sensor elements of a group a common (ie the same) color filter be configured.
- the image sensor according to the invention When interconnecting (binning) the sensor elements of a group, the image sensor according to the invention functions as well-known image sensors, and the color recognition (demosaicing) can be carried out in the usual way, in particular as in a normal image sensor.
- the spatial resolution and the color resolution of the image sensor are reduced in this case compared to the total number of sensor elements and thus over the maximum spatial resolution of the image sensor.
- each group comprises an array of nxn sensor elements.
- Each group is designed with the same number of sensor elements with n> 2.
- each group comprises exactly 2x2 sensor elements.
- the groups are arranged next to each other and arranged in the form of a matrix in the row and column direction.
- the sensor elements of adjacent groups are assigned different color filters.
- the color filters of the sensor elements alternate in groups in a row of adjacent groups, for example in the sequence red-green or green-blue.
- color filters are assigned to the sensor elements in such a way that the image sensor is assigned at least 2 ⁇ 2 sensor elements due to the matrix-like juxtaposed groups, the sensor elements of a group being assigned the same or the same color filter, a Bayer matrix (Bayer pattern).
- the image sensor is similar to a chess board, with a regular color filter array (coated, which preferably consists of 50% green and 25% red and blue color.)
- the color filters are based on the groups, for example, in odd rows in the sequence red-green and arranged in straight lines in the sequence green-blue.
- the image sensor comprises at least two operating modes or the image sensor can be operated in at least two ways.
- the sensor elements are preferably interconnected or evaluated in groups.
- This process has already been described in the introduction and is generally referred to as binning, in particular also as on-chip binning, in which adjacent sensor elements (in this case all sensor elements of a group) are combined or interconnected and whereby, in particular, the resolution capability is changed.
- the combination of several sensor elements takes place, for example, by adding the detected brightness values, either analogously by charge addition by charge transport or digitally by addition of the digitized brightness values.
- the sensor elements are evaluated individually, ie in particular there is no interconnection of adjacent sensor elements by means of binning.
- the individual evaluation can also be made only for selected groups, the sensor elements of the remaining groups are combined or not evaluated.
- a higher spatial resolution can be achieved for the affected areas of the image sensor.
- the inventive method relates to the operation of an image sensor, preferably an image sensor according to the invention, according to one of the preceding embodiments.
- the method thus relates, in particular, to the operation of a high-resolution image sensor before or before which a color filter arrangement is configured for sensor elements that are sensitive to electromagnetic radiation, such that a plurality of adjacent sensor elements are identical
- the groups of sensor elements with identical filter characteristics are each the same size, i. comprise the same number of nxm or nxn sensor elements with n> 2 and m> 2.
- An embodiment with 2x2 or 3x3 sensor elements per group is preferred.
- the groups form in particular a matrix-shaped filter array in the row and column direction, wherein the sensor elements of the groups are preferably configured with color filters such that a Bayer matrix (Bayer pattern) is spanned by the groups.
- the image sensor In normal operation or in an output mode, the image sensor thus has due to the grouping or by binning a relation to its absolute number of sensor elements reduced resolution, for example in groups of 2x2 sensor elements, a 4-fold reduced resolution.
- the reduction of the resolution relates in particular to the spatial resolution of the image sensor.
- an operating mode is selected in which all sensor elements of the image sensor are evaluated individually (without binning), ie in which the classification into groups, in particular for the spatial representation is resolved.
- the color resolution of the image sensor remains unchanged, whereas the spatial resolution with respect to the normal operation / output operation multiplies, in particular to the number of total existing sensor elements.
- an operating mode is selected in which the individual sensor elements of the selected groups are evaluated individually (without binning) with regard to selected groups.
- the sensor elements of the remaining, i. of the non-selected groups will continue to be grouped together (binning).
- binning For the area / areas of the image sensor in which the selected groups are located, a higher spatial resolution compared to the normal operation / output operation and compared with the remaining groups is achieved, which are further interconnected, in particular by means of binning.
- an operating mode is selected in which the individual sensor elements of the selected groups are evaluated individually (without binning) with regard to selected groups and with respect to the sensor elements of the remaining ones , ie the non-selected groups, no evaluation at all.
- a higher spatial resolution compared to the normal operation / output operation is achieved for the area / areas of the image sensor in which the selected groups are located.
- Particularly advantageous in this embodiment is that due to the fact that the remaining groups are not evaluated, computing power can be saved in the image processing with increased resolution.
- the proportion of selected groups which are operated with increased resolution corresponds to at most a quarter or a ninth relative to the total quantity / number of groups of the image sensor, in which case the sensor elements of the remaining Groups are not evaluated.
- exactly one fourth of the groups is selected, in particular if the groups each comprise 2x2 sensor elements.
- the readout timing compared to the normal operation / output operation can be maintained since each case, ie both in normal operation and in operation with increased resolution, the same number of sensor elements must be evaluated.
- exactly one ninth of the groups are selected for the operating mode with increased spatial resolution, etc.
- driver assistance systems are, for example, traction control or traction control such as ABS (Antilock Braking System), ESP (Electronic Stability Program), EDS (Electronic Differential Lock), as well as adaptive cornering lights, headlights and dipped beam assist, night vision systems (English : night vision), cruise control, parking assistance,
- Curve wizard tire pressure monitoring system, driver condition recognition, traffic sign recognition, platooning.
- FIG. 1 an embodiment of the image sensor 1 according to the invention is shown.
- the representation is greatly simplified and shows in principle only schematically the color filter arrangement on photosensitive sensor elements 2 of the image sensor 1, which may be arranged for example as an image pickup element in a camera device behind an imaging system, such as a lens with one or more lenses on a circuit board.
- the image sensor 1 comprises a multiplicity of sensor elements 2, which are arranged next to one another in a matrix and are sensitive to electromagnetic radiation, for example light-sensitive photodiodes to which color filters R, G, B are assigned.
- the color filters in this case correspond to the three primary colors red (R), green (G) and blue (B). Accordingly, each of the sensor elements 2 detects only electromagnetic radiation from the wavelength range corresponding to the respective color component.
- the image sensor 1 from FIG. 1 can be constructed, for example, as a CMOS image chip, with a bottom layer of matrix-arranged and light-sensitive photodiodes, an overlying intermediate layer with individual color filters assigned to the photodiodes and an overlying microlens structure.
- CMOS image chip with a bottom layer of matrix-arranged and light-sensitive photodiodes, an overlying intermediate layer with individual color filters assigned to the photodiodes and an overlying microlens structure.
- any possible and known structure of an image sensor in particular a CCD or CMOS image chip is possible, wherein the image sensor with a Color filter arrangement according to Figure 1 and with an attached resolution (number of sensor elements 2) can be configured.
- the sensor elements 2 of the image sensor of FIG. 1 are divided into groups 3. Each group 3 consists of an array of 2x2 sensor elements 2.
- the sensor elements 2 of a group 3 are each assigned the same color filter R, G, B.
- R, G, B can be arranged for each sensor element 2
- a common color filter R, G, B can be arranged for a group 3 of sensor elements 2.
- a Bayer matrix is defined by the groups 3 of the image sensor 1.
- the color filters in the sequence red (R) - green (G) alternate in odd lines and the color filters in the sequence green (G) blue (B) in even lines.
- the image sensor 1 from FIG. 1 is operated in normal operation or in an output operating mode such that the sensor elements 2 are evaluated in a grouped manner according to groups 3, in particular by means of binning.
- the binning is canceled and the sensor elements 2 of these groups 3 are evaluated individually.
- the image sensor 1 In the arrangement of the image sensor 1 in a camera in a vehicle for monitoring the vehicle ahead in the direction of travel environment, such as traffic sign recognition, if necessary, especially if objects such as Traffic signs and their additional characters were detected, summarized in groups 3 evaluation of the sensor elements 2 are repealed, thereby increasing the spatial resolution.
- the color resolution must, in particular in the case of traffic sign recognition, usually not be increased because only a higher spatial resolution is required for the detection of traffic signs and their additional characters.
- the computing power required for image processing or for the recognition of objects can thus be optimized in which a cancellation of the binning and associated increased computing power is limited to times, if in fact relevant or interesting objects in the Image are detected, the details are only recognizable with increased resolution.
- the region of interest by the binning is canceled, a quarter of the size of the image sensor 1 or it comprises the proportion of selected groups 3 a quarter of all groups 3, in particular if each group 3 includes exactly 2x2 sensor elements 2.
- the remaining groups 3 are temporarily not evaluated in this case.
- the read timing relative to the operation of the image sensor 1 can be maintained in normal operation. This makes it easier to design the electronic circuitry and image processing can go through with the same timing, as in low-resolution image, ie as in normal operation.
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Color Television Image Signal Generators (AREA)
- Transforming Light Signals Into Electric Signals (AREA)
- Solid State Image Pick-Up Elements (AREA)
Abstract
Description
Claims
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE112012000537T DE112012000537A5 (en) | 2011-05-03 | 2012-03-21 | Image sensor with adjustable resolution |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102011100350.2 | 2011-05-03 | ||
DE102011100350A DE102011100350A1 (en) | 2011-05-03 | 2011-05-03 | Image sensor with adjustable resolution |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2012149927A1 true WO2012149927A1 (en) | 2012-11-08 |
Family
ID=46021948
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/DE2012/100070 WO2012149927A1 (en) | 2011-05-03 | 2012-03-21 | Image sensor with adjustable resolution |
Country Status (2)
Country | Link |
---|---|
DE (2) | DE102011100350A1 (en) |
WO (1) | WO2012149927A1 (en) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105578072A (en) | 2015-12-18 | 2016-05-11 | 广东欧珀移动通信有限公司 | Imaging method, imaging device and electronic device |
DE102016217282A1 (en) | 2016-09-12 | 2018-03-15 | Conti Temic Microelectronic Gmbh | IMAGE SENSOR, IMAGING DEVICE, DRIVER ASSISTANCE SYSTEM, VEHICLE AND METHOD FOR EVALUATING ELECTROMAGNETIC RADIATION |
DE102016221336A1 (en) * | 2016-10-28 | 2018-05-03 | Conti Temic Microelectronic Gmbh | IMAGE SENSOR WITH A COLOR FILTER SUITABLE FOR PIXEL BINNING |
CN106507068B (en) | 2016-11-29 | 2018-05-04 | 广东欧珀移动通信有限公司 | Image processing method and device, control method and device, imaging and electronic device |
CN106357967B (en) | 2016-11-29 | 2018-01-19 | 广东欧珀移动通信有限公司 | Control method, control device and electronic installation |
CN106713790B (en) | 2016-11-29 | 2019-05-10 | Oppo广东移动通信有限公司 | Control method, control device and electronic device |
DE102017200487A1 (en) | 2017-01-13 | 2018-07-19 | Conti Temic Microelectronic Gmbh | Method and apparatus for providing camera image data |
US10594958B2 (en) | 2017-10-20 | 2020-03-17 | GM Global Technology Operations LLC | Camera imager binning technique |
EP3562145A1 (en) * | 2018-04-25 | 2019-10-30 | Bayerische Motoren Werke Aktiengesellschaft | Method and apparatus for operating an advanced driver assistance system of a vehicle |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2008066698A2 (en) * | 2006-11-30 | 2008-06-05 | Eastman Kodak Company | Producing low resolution images |
US20080246865A1 (en) * | 2007-04-03 | 2008-10-09 | Canon Kabushiki Kaisha | Image sensing apparatus and image capturing system |
US20090200451A1 (en) * | 2008-02-08 | 2009-08-13 | Micron Technology, Inc. | Color pixel arrays having common color filters for multiple adjacent pixels for use in cmos imagers |
US20090285476A1 (en) * | 2008-05-19 | 2009-11-19 | Won-Hee Choe | Apparatus and method for combining images |
US20110234865A1 (en) * | 2010-03-25 | 2011-09-29 | Kabushiki Kaisha Toshiba | Solid-state imaging device, color filter arrangement method therefor and image recording apparatus |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3971065A (en) * | 1975-03-05 | 1976-07-20 | Eastman Kodak Company | Color imaging array |
JPS55163951A (en) | 1979-06-08 | 1980-12-20 | Toshiba Corp | Solid-state pickup unit |
US5555464A (en) * | 1995-07-28 | 1996-09-10 | Lockheed Martin Corporation | Red/near-infrared filtering for CCD cameras |
DE10335190A1 (en) * | 2003-07-30 | 2005-03-03 | Daimlerchrysler Ag | Sensor arrangement with a plurality of types of optical sensors |
KR100649022B1 (en) | 2004-11-09 | 2006-11-28 | 동부일렉트로닉스 주식회사 | method for manufacturing of cmos image sensor |
EP1874034A3 (en) * | 2006-06-26 | 2011-12-21 | Samsung Electro-Mechanics Co., Ltd. | Apparatus and method of recovering high pixel image |
DE102006055905B4 (en) * | 2006-11-27 | 2020-01-30 | Adc Automotive Distance Control Systems Gmbh | Method for vehicle environment detection and device for environment detection in a motor vehicle |
EP1887515B1 (en) * | 2007-02-27 | 2011-12-28 | Phase One A/S | Colour binning of a digital image |
US20090268045A1 (en) * | 2007-08-02 | 2009-10-29 | Sudipto Sur | Apparatus and methods for configuration and optimization of image sensors for gaze tracking applications |
US7999870B2 (en) * | 2008-02-01 | 2011-08-16 | Omnivision Technologies, Inc. | Sampling and readout of an image sensor having a sparse color filter array pattern |
DE102009036595A1 (en) * | 2009-08-07 | 2011-02-10 | Conti Temic Microelectronic Gmbh | Imaging multifunction sensor |
WO2011053711A1 (en) * | 2009-10-30 | 2011-05-05 | Invisage Technologies, Inc. | Systems and methods for color binning |
-
2011
- 2011-05-03 DE DE102011100350A patent/DE102011100350A1/en not_active Withdrawn
-
2012
- 2012-03-21 WO PCT/DE2012/100070 patent/WO2012149927A1/en active Application Filing
- 2012-03-21 DE DE112012000537T patent/DE112012000537A5/en not_active Withdrawn
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2008066698A2 (en) * | 2006-11-30 | 2008-06-05 | Eastman Kodak Company | Producing low resolution images |
US20080246865A1 (en) * | 2007-04-03 | 2008-10-09 | Canon Kabushiki Kaisha | Image sensing apparatus and image capturing system |
US20090200451A1 (en) * | 2008-02-08 | 2009-08-13 | Micron Technology, Inc. | Color pixel arrays having common color filters for multiple adjacent pixels for use in cmos imagers |
US20090285476A1 (en) * | 2008-05-19 | 2009-11-19 | Won-Hee Choe | Apparatus and method for combining images |
US20110234865A1 (en) * | 2010-03-25 | 2011-09-29 | Kabushiki Kaisha Toshiba | Solid-state imaging device, color filter arrangement method therefor and image recording apparatus |
Also Published As
Publication number | Publication date |
---|---|
DE112012000537A5 (en) | 2013-10-10 |
DE102011100350A1 (en) | 2012-11-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2012149927A1 (en) | Image sensor with adjustable resolution | |
DE10230134B4 (en) | Image sensor and method for its production | |
DE60131215T2 (en) | IMAGE SENSOR PIXELLAYOUT TO REDUCE FIXED INTERFERENCE STRUCTURES | |
DE112018006605T5 (en) | Solid state imaging device, removal device, and manufacturing method | |
DE102017114634B4 (en) | Imaging device, imaging system and moving object | |
DE112018002728T5 (en) | SOLID IMAGING DEVICE AND ELECTRONIC DEVICE | |
DE112018006551T5 (en) | SOLID STATE IMAGE DEVICE AND ELECTRONIC DEVICE | |
DE60223052T2 (en) | Color image sensor with improved calorimetry and method for its production | |
DE112016004235T5 (en) | High dynamic range pixels using light separation | |
DE112018001967T5 (en) | SOLID STATE IMAGING DEVICE AND ELECTRONIC DEVICE | |
WO2014063701A1 (en) | Sensor array for capturing images | |
DE112020004446T5 (en) | SOLID STATE IMAGING DEVICE AND IMAGING DEVICE WITH COMBINED DYNAMIC VISION SENSOR AND IMAGING FUNCTIONS | |
DE112020005923T5 (en) | SOLID STATE IMAGING DEVICE AND IMAGING DEVICE WITH COMBINED DYNAMIC VISION SENSOR AND IMAGING FUNCTIONS | |
WO2018011121A1 (en) | Cmos pixel, image sensor and camera, and method for reading a cmos pixel | |
DE112017006977T5 (en) | PICTURE SYSTEM AND PICTURE DEVICE | |
DE112018003957T5 (en) | SOLID BODY IMAGING DEVICE AND ELECTRONIC DEVICE | |
EP2583464B1 (en) | Color image sensor | |
WO2009013073A1 (en) | Camera | |
DE102012110094A1 (en) | Image capturing sensor arrangement of image sensor for camera mounted on vehicle, has first type sensing elements which are designed with infrared band elimination filter for electromagnetic radiation in non-visible spectral region | |
DE112019005735T5 (en) | SOLID STATE IMAGING DEVICE AND IMAGING DEVICE | |
DE102012021736B4 (en) | Image sensor for visible and infrared light and camera system | |
EP3485634B1 (en) | Light-sensor module and method for operating a light-sensor module | |
DE102013223699A1 (en) | Filter assembly and method of making a filter assembly | |
DE102009000001B4 (en) | Image sensor and method of manufacturing an image sensor | |
WO2018077357A1 (en) | Image sensor comprising a color filter suitable for pixel binning |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 12717586 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 1120120005376 Country of ref document: DE Ref document number: 112012000537 Country of ref document: DE |
|
REG | Reference to national code |
Ref country code: DE Ref legal event code: R225 Ref document number: 112012000537 Country of ref document: DE Effective date: 20131010 |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 12717586 Country of ref document: EP Kind code of ref document: A1 |