CN108061600B - A kind of miniaturization spectrum imaging system and imaging method - Google Patents
A kind of miniaturization spectrum imaging system and imaging method Download PDFInfo
- Publication number
- CN108061600B CN108061600B CN201711336782.6A CN201711336782A CN108061600B CN 108061600 B CN108061600 B CN 108061600B CN 201711336782 A CN201711336782 A CN 201711336782A CN 108061600 B CN108061600 B CN 108061600B
- Authority
- CN
- China
- Prior art keywords
- image
- spectral coverage
- imaging system
- row
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000003384 imaging method Methods 0.000 title claims abstract description 74
- 238000001228 spectrum Methods 0.000 title claims abstract description 53
- 230000003595 spectral effect Effects 0.000 claims abstract description 78
- 238000000034 method Methods 0.000 claims abstract description 15
- 230000010354 integration Effects 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 9
- 230000004044 response Effects 0.000 claims description 9
- 238000003860 storage Methods 0.000 claims description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000009826 distribution Methods 0.000 claims description 3
- 230000000737 periodic effect Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000001186 cumulative effect Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 6
- 230000006870 function Effects 0.000 abstract description 6
- 230000035945 sensitivity Effects 0.000 description 4
- 238000000701 chemical imaging Methods 0.000 description 2
- 239000013078 crystal Substances 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000003915 air pollution Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000009123 feedback regulation Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000003911 water pollution Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2803—Investigating the spectrum using photoelectric array detector
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2823—Imaging spectrometer
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2823—Imaging spectrometer
- G01J2003/2826—Multispectral imaging, e.g. filter imaging
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- General Physics & Mathematics (AREA)
- Spectrometry And Color Measurement (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
A kind of miniaturization spectrum imaging system and imaging method, it is related to photoelectric imaging technology field, while there is promotion signal-to-noise ratio in the high light spectrum image-forming technology for solving existing CMOS, the problem of reducing the spatial resolution of target, including camera lens, beam splitter and imaging system electronics, incident ray projects to beam splitter through lens focus, light is divided into n narrow wave spectrum sections after beam splitter, imaging system electronics receives n spectral coverage light and is translated into electric signal, and imaging method includes two processes of spectral position Fast Calibration and high light spectrum image-forming；Calibration process, after the assembly is completed to n wave spectrum in the Fast Calibration of sensor focal plane projected position, carries out high light spectrum image-forming according to calibration result imaging system after calibration for imaging system；The present invention uses the cmos image sensor with row to more windowing functions, not only small power consumption, at low cost, but also level of integrated system is high, to meet the demand that high light spectrum image-forming develops to small light.
Description
Technical field
The present invention relates to photoelectric imaging technology fields, and in particular to a kind of miniaturization spectrum imaging system and imaging method.
Background technique
Spectral imaging technology is while obtaining the two-dimensional space characteristic information of target, the spectrum letter of available target
Breath, therefore there is wide application in fields such as military investigation, agricultural observation, environmental monitoring, disaster investigation and geological prospectings
Space simultaneously plays an important role.Wherein Hyperspectral imager is in most of field of natural science and the portion of people's lives
Point field, for example crop yield is estimated, Evaluation On The Soil Environmental Quality, water pollution detection, air pollution detection etc., plays important work
With.However that there is volume weights is big, power consumption is high, with high costs for most domestic Hyperspectral imagers at present, and right
Application environment has relatively high the problem of requiring.Small light Hyperspectral imager becomes urgent growth requirement in recent years.
Since Hyperspectral imager need to cause to be incident on sensor using beam splitters such as optical filter, prism or gratings
The energy of focal plane is fainter, therefore proposes rigors to obtain the image of high imaging quality to the sensitivity of sensor,
Traditional Hyperspectral imager generallys use ccd image sensor.But in level of integrated system, volume, power consumption, in price,
There are obvious disadvantages compared with cmos sensor for ccd sensor.Recently as the promotion of CMOS manufacturing process, the bloom based on CMOS
Spectral imaging technology emerges, and in order to improve sensitivity, existing method, which is taken, to be carried out in spectrum dimension direction with spectral coverage M pixel combination
Measure, although signal-to-noise ratio is promotedTimes, but the spatial resolution of target also accordingly has dropped M times.
Summary of the invention
While the present invention is that the high light spectrum image-forming technology for solving existing CMOS has promotion signal-to-noise ratio, target is reduced
The problem of spatial resolution, provides a kind of miniaturization spectrum imaging system and imaging method.
A kind of miniaturization spectrum imaging system, including camera lens, beam splitter and imaging system electronics, incident ray is through mirror
Head focus projection is to beam splitter, and light is divided into n narrow wave spectrum sections after beam splitter, and imaging system electronics receives n
A spectral coverage light is simultaneously translated into electric signal；
The imaging system electronics includes face array CMOS image sensor and image forming process unit；The imaging list
Member includes FPGA, and the FPGA includes that Clock management module, communication module, focal plane mould group drive control module, image data connect
Receive module, multispectral section of independent time delay default integral algorithm module, Data Integration module and storage control module；
The Clock management module is responsible for the clock distribution of all modules in imaging system；
Communication module is used to receive the control instruction of external equipment transmission, and will be after control instruction decoding acquisition imaging parameters
It is sent to focal plane mould group drive control module, the focal plane mould group drive control module is generated according to decoded imaging parameters and passed
Sensor driver' s timing realizes that n spectral coverage corresponds to the exposure image of window；
The high speed serial differential picture signal of cmos image sensor output exports the reception of the image data to FPGA
Module, described image data reception module is parallel data according to sensor image encryption algorithm decoded serial image, and is used for
The calling of multispectral section of independent time delay default integral algorithm module；
The multispectral section of independent time postpones default integral algorithm module according to the integral series of each spectral coverage, respectively to n spectral coverage
It carrying out independent time and postpones integration operation, row period each spectral coverage exports a line image, add up total n row integral image,
He does not export image and is cached in piece by storage control module control or chip external memory；
N row integral image is carried out row flowline numbering to the Data Integration module and spectral coverage is numbered, with n spectral coverage number of a line
It is identical according to row serial number, add 1 automatically by a row Periodic Traveling serial number, the spectral coverage number is opened according to cmos image sensor
Window position number consecutively is exported all spectral coverage data by counting to pass to connect after increasing row flowing water and spectral coverage number.
A kind of miniaturization spectrum imaging method, the imaging method include spectral position Fast Calibration and high light spectrum image-forming two
Process；Calibration process for imaging system after the assembly is completed to n wave spectrum sensor focal plane projected position quick mark
It is fixed, high light spectrum image-forming is carried out according to calibration result imaging system after calibration；Specific steps are as follows:
Step 1: spectral position Fast Calibration；
Step 1 one, the imaging pattern that imaging system is arranged are spectral position Fast Calibration mode；
The control sequential that step 1 two, FPGA generate focal plane mould group drive control module under calibration mode is full resolution
Face battle array output；
Step 1 three adjusts monochromator and exports monochromatic light, and output wavelength is one of wavelength of beam splitter；
Step 1 four takes pictures and stores image；
Step 1 five, the peak response section for calculating image, and established according to the peak response interval computation result of image
Wavelength draws with position of focal plane relationship number；
Step 1 six, adjustment monochromator output wavelength repeat step 1 four to step 1 five, until traversing all spectrum
Wavelength；And drawn according to complete wavelength and position of focal plane relationship number, determine n of the corresponding cmos image sensor of n spectral coverage
Open a window position and window size；
Step 2: high light spectrum image-forming；
Step 2 one, the imaging pattern that imaging system is arranged are high light spectrum image-forming mode；
Step 2 two, FPGA obtain n windowing position and the window size of cmos image sensor according to step 1 six, raw
It opens a window at cmos image sensor and instruction is set；
Step 2 three, FPGA open a window according to cmos image sensor is arranged instruction generation driver' s timing；
N step 2 four, setting spectral coverage integrate series；
Step 2 five, according to the corresponding each spectral coverage image of integral series using independent time postpone default integral algorithm module into
Row calculates, and each spectral coverage obtains a line integral image data, calculation formula after calculating are as follows:
In formula, SkIndicate the multispectral image of k-th of row period output, ROIn,k(i) k-th of row period of the n-th spectral coverage is indicated
The i-th row image；
Step 2 six after the integral image data that step 2 five obtains are carried out with row serial number and spectral coverage number, passes through number
It passes interface and exports n row integral image；
Whether step 2 seven, judgment step two or five obtain each spectral coverage integral image gray scale uniform, if so, executing step 2
Five, if not, executing step 2 four.
Beneficial effects of the present invention: a kind of highly sensitive high-resolution Hyperspectral imager of miniaturization of the present invention,
Imaging system electronics uses the cmos image sensor with row to more windowing functions, not only small power consumption, at low cost, but also is
Integrated level of uniting is high, to meet the demand that high light spectrum image-forming develops to small light.It is sensed by ingenious using cmos image
The row of device devises the projection relation of n spectral coverage with cmos image sensor n windowing window to more windowing functions.In addition this hair
It is bright to propose that a kind of multispectral section of independent time delay integral algorithm, the algorithm be independently arranged product according to the response difference of different spectral coverage
It is classified number MiThe integral image of each spectral coverage uniform gray level is obtained, imaging system sensitivity and signal-to-noise ratio are improvedTimes, simultaneously
Spatial resolution remains unchanged.
Detailed description of the invention
Fig. 1 is a kind of composition block diagram for minimizing spectrum imaging system of the present invention；
Fig. 2 is a kind of functional block diagram for minimizing spectrum imaging system of the present invention；
Fig. 3 is that n spectral coverage cmos image sensor windowing is shown in a kind of miniaturization spectrum imaging system of the present invention
It is intended to；
Fig. 4 is a kind of miniaturization spectrum imaging method flow chart of the present invention.
Specific embodiment
Specific embodiment one illustrates that present embodiment, a kind of highly sensitive high-resolution of miniaturization are high in conjunction with Fig. 1 to Fig. 3
Spectrum imaging system, including camera lens 1, beam splitter 2, imaging system electronics 3.Camera lens 1 is focused after collecting incident ray
Beam splitter 2 is projected to, n required for light is subdivided into after beam splitter 2 narrow wave spectrum section, imaging system electronics
3 n spectral coverage light of reception are simultaneously translated into electric signal.
Conventional components can be used in camera lens described in present embodiment, and beam splitter can use optical filter, prism, light
Matured product can be used in modes, camera lens and the beam splitters such as grid, interference light splitting.The imaging system electronics includes focal plane
Mould group and image forming process unit are the focused protection part of this patent.
The focal plane mould group uses face array CMOS image sensor.The not only system integration of selected cmos image sensor
Degree height, volume small power consumption, and have row to more windowing functions, selection exposure and reading can be carried out for spectral coverage projected position.
Cmos image sensor installation direction is to go to parallel with beam splitter spectrum change direction.As shown in Fig. 2, bloom of the invention
Spectrum imaging system electronics includes focal plane mould group and image forming process unit.Focal plane mould group uses face array CMOS image sensor.Institute
Selecting cmos image sensor, not only level of integrated system is high, volume small power consumption, but also has row to more windowing functions, can be for spectrum
Section projected position carries out selection exposure and reading.In imaging system cmos image sensor installation direction be row to beam splitter
Spectrum change direction is parallel, and n spectral coverage cmos image sensor windowing is as shown in Figure 3.
Image forming process unit further includes power module, crystal oscillator, communication interface, number biography using programmable logic device as core
Interface and external memory, the power module are programmable logic device power supply, and crystal oscillator is for providing programmable logic device
System clock, programmable logic device uses FPGA in this example, and FPGA software function module includes Clock management module, communication
Module, focal plane mould group drive control module, image data receiving module, multispectral section of independent time postpone default integral algorithm module, number
According to integrating module and storage control module.Clock management module is responsible for all module clock distribution of system.Communication module is on the one hand
The control instruction that external equipment is sent is received, obtains imaging parameters after instruction parsing, another party's facing external equipment sends coding
Camera status information afterwards, communication interface can be the various general-purpose interface forms such as CAN, RS422, RS232.The driving control of focal plane mould group
Molding block generates sensor driver' s timing according to decoded imaging parameters, completes the exposure image that each spectral coverage corresponds to window.Figure
It is parallel data as data reception module decodes high speed serial differential image according to sensor image encryption algorithm, solely for multispectral section
Vertical time delay integration algoritic module calls.Time delay integration algoritic module is according to the integral series of each spectral coverage, respectively to n
Spectral coverage carries out independent time and postpones integration operation, and 1 row period, each spectral coverage exported 1 row image, adds up total n row integral image,
Other intermediate results are cached in on-chip memory or chip external memory (the outer DDR2/DDR3 of piece) under storage control module control
In.N row integral image is carried out row flowline numbering to Data Integration module and spectral coverage is numbered, with n spectral coverage data line flowing water of a line
It is number identical, add 1 automatically by a row Periodic Traveling serial number, spectral coverage number opens a window position number consecutively according to cmos sensor,
All spectral coverage data are exported according to number biography interface requirement after increasing row flowing water and spectral coverage number.
Specific embodiment two, embodiment is described with reference to Fig. 4, and present embodiment is described in specific embodiment one
A kind of imaging method minimizing highly sensitive high-resolution Hyperspectral imager, the imaging method are divided into a process, respectively
Spectral position Fast Calibration mode and high light spectrum image-forming mode.Calibration mode is for imaging system after the assembly is completed to n wavelength
Spectrum can be carried out formally after calibration according to calibration result imaging system in the Fast Calibration of sensor focal plane projected position
High light spectrum image-forming.As shown in Figure 4.
Spectral position Fast Calibration mode the technical solution adopted is as follows:
Step 1: setting imaging pattern is spectral position Fast Calibration mode；
Step 2: it is full resolution face battle array that programmable logic device generates sensor drive control timing under calibration mode
Output；
Step 3: adjustment monochromator simultaneously exports monochromatic light, and output wavelength is one of wavelength of beam splitter；
Step 4: taking pictures and stores image；
Step 5: the peak response section of image is calculated；
Step 6: wavelength is established according to peak response interval computation result and is drawn with position of focal plane relationship number；
Step 7: adjustment monochromator output wavelength repeats step 4 to step 6, until traversing all spectral wavelengths.
Draw at this time according to complete wavelength and position of focal plane relationship number, that is, can determine n windowing position of n spectral coverage corresponding sensor and
Size.
High light spectrum image-forming mode the technical solution adopted is as follows:
Step 1: setting imaging pattern is high light spectrum image-forming mode；
Step 2: programmable logic device wavelength basis and position of focal plane relationship number draw n windowing position of determining sensor
It sets and size, generation sensor windowing setting instructs；
Step 3: programming device opens a window according to cmos sensor is arranged instruction generation driver' s timing；
Step 4: n spectral coverage of setting integrates series；
Step 5: integral algorithm is postponed using independent time for each spectral coverage image according to integral series, algorithm calculates
Formula is as follows:
In formula, SkIndicate the multispectral image of k-th of row period output, ROIn,k(i) k-th of row period of the n-th spectral coverage is indicated
The i-th row image.
Step 6: it after carrying out row serial number and spectral coverage number to the image data obtained after time delay integration algorithm, presses
The output of interface compatibility format is passed according to number, each row period exports 1 row/spectral coverage, exports n row integral image altogether；
Step 7: series is integrated according to each spectral coverage of image result feedback regulation is obtained, it may be assumed that judgment step five obtains each spectrum
Whether section integral image gray scale is uniform, if so, step 5 is executed, if not, executing step 4.Until each spectral coverage image grayscale
Uniformly.
Multispectral section of independent time described in present embodiment postpones integral algorithm, before not losing goal pels resolution ratio
It puts, is added up by the multiple exposure value to same target in different moments and realize that equivalent exposure time increases, improve imaging system
System sensitivity, while according to the spectral response difference of target, each spectral coverage can be independently arranged different integral series Mi, to obtain
Take the high spectrum image of each spectral coverage uniform gray level.
Claims (3)
1. a kind of imaging method for minimizing spectrum imaging system, including camera lens, beam splitter and imaging system electronics, incident
Light projects to beam splitter through lens focus, and light is divided into n narrow wave spectrum sections, imaging system electronics after beam splitter
It learns and receives n narrow spectral coverage light and be translated into electric signal, it is characterized in that；
The imaging system electronics includes face array CMOS image sensor and image forming process unit；The image forming process unit packet
FPGA is included, the FPGA includes Clock management module, communication module, focal plane mould group drive control module, image data reception mould
Block, multispectral section of independent time delay default integral algorithm module, Data Integration module and storage control module；
The Clock management module is responsible for the clock distribution of all modules in imaging system；
Communication module is used to receive the control instruction of external equipment transmission, and sends after control instruction is decoded acquisition imaging parameters
To focal plane mould group drive control module, the focal plane mould group drive control module generates sensor according to decoded imaging parameters
Driver' s timing realizes that n spectral coverage corresponds to the exposure image of window；
The high speed serial differential picture signal of cmos image sensor output exports the image data receiving module to FPGA,
Described image data reception module is parallel data according to sensor image encryption algorithm decoded serial image, and is used for multispectral section
The calling of independent time delay default integral algorithm module；
The multispectral section of independent time delay default integral algorithm module respectively carries out n spectral coverage according to the integral series of each spectral coverage
Independent time postpones integration operation, and row period each spectral coverage exports a line image, adds up total n row integral image, other are not
Output image is cached in piece by storage control module control or chip external memory；
N row integral image is carried out row flowline numbering to the Data Integration module and spectral coverage is numbered, with n spectral coverage data line of a line
Serial number is identical, adds 1 automatically by a row Periodic Traveling serial number, the spectral coverage number is according to cmos image sensor windowing position
Number consecutively is set, is exported all spectral coverage data by counting to pass to connect after increasing row flowing water and spectral coverage number；
The method being imaged using the spectrum imaging system, including two mistakes of spectral position Fast Calibration and high light spectrum image-forming
Journey；Calibration process for imaging system after the assembly is completed to n wave spectrum sensor focal plane projected position Fast Calibration,
High light spectrum image-forming is carried out according to calibration result imaging system after calibration；Specific steps are as follows:
Step 1: spectral position Fast Calibration；
Step 1 one, the imaging pattern that imaging system is arranged are spectral position Fast Calibration mode；
The control sequential that step 1 two, FPGA generate focal plane mould group drive control module under calibration mode is full resolution face battle array
Output；
Step 1 three adjusts monochromator and exports monochromatic light, and output wavelength is one of wavelength of beam splitter；
Step 1 four takes pictures and stores image；
Step 1 five, the peak response section for calculating image, and wavelength is established according to the peak response interval computation result of image
Draw with position of focal plane relationship number；
Step 1 six, adjustment monochromator output wavelength repeat step 1 four to step 1 five, until traversing all spectrum waves
It is long；And drawn according to complete wavelength and position of focal plane relationship number, determine that n of the corresponding cmos image sensor of n spectral coverage open
Window position and window size；
Step 2: high light spectrum image-forming；
Step 2 one, the imaging pattern that imaging system is arranged are high light spectrum image-forming mode；
Step 2 two, FPGA obtain n windowing position and the window size of cmos image sensor according to step 1 six, generate
Cmos image sensor windowing setting instruction；
Step 2 three, FPGA open a window according to cmos image sensor is arranged instruction generation driver' s timing；
N step 2 four, setting spectral coverage integrate series；
Step 2 five is counted according to the corresponding each spectral coverage image of integral series using independent time delay default integral algorithm module
It calculates, each spectral coverage obtains a line integral image data, calculation formula after calculating are as follows:
In formula, SkIndicate the multispectral image of k-th of row period output, ROIn,k(i) the i-th of k-th of row period of the n-th spectral coverage is indicated
Row image；
Step 2 six after the integral image data that step 2 five obtains are carried out with row serial number and spectral coverage number, is connect by number biography
Mouth output n row integral image；
Whether step 2 seven, judgment step two or five obtain each spectral coverage integral image gray scale uniform, if so, step 2 five is executed,
If not, executing step 2 four.
2. a kind of imaging method for minimizing spectrum imaging system according to claim 1, which is characterized in that described multispectral
Section independent time postpones default integral algorithm module, under the premise of keeping goal pels resolution ratio constant, by existing to same target
The multiple exposure value of different moments is cumulative to realize that equivalent exposure time increases, while according to the spectral response difference of target, each
Spectral coverage can be independently arranged different integral series Mi, obtain the high spectrum image of each spectral coverage uniform gray level；
The calculation formula that the multispectral section of independent time delay default integral algorithm module uses are as follows:
In formula, SkIndicate the multispectral image of k-th of row period output, ROIn,k(i) the i-th of k-th of row period of the n-th spectral coverage is indicated
Row image.
3. a kind of imaging method for minimizing spectrum imaging system according to claim 1, which is characterized in that the communication
Camera status information after module is also used to send coding to external equipment by CAN/RS422/RS232 interface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711336782.6A CN108061600B (en) | 2017-12-14 | 2017-12-14 | A kind of miniaturization spectrum imaging system and imaging method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711336782.6A CN108061600B (en) | 2017-12-14 | 2017-12-14 | A kind of miniaturization spectrum imaging system and imaging method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108061600A CN108061600A (en) | 2018-05-22 |
| CN108061600B true CN108061600B (en) | 2019-10-18 |
Family
ID=62138734
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711336782.6A Active CN108061600B (en) | 2017-12-14 | 2017-12-14 | A kind of miniaturization spectrum imaging system and imaging method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108061600B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109246346A (en) * | 2018-10-26 | 2019-01-18 | 苏州国科医疗科技发展有限公司 | Large area array detection system towards biomedical micro-imaging |
| CN111854696A (en) * | 2020-07-02 | 2020-10-30 | 中国科学院光电技术研究所 | High-reliability step-by-step picture type staring three-dimensional imaging space camera and implementation method thereof |
| CN112040155B (en) * | 2020-08-28 | 2022-04-15 | 长光卫星技术股份有限公司 | CMOS image sensor running water exposure driving method |
| CN113418873B (en) * | 2021-06-23 | 2022-05-17 | 中国科学院长春光学精密机械与物理研究所 | Hyperspectral imaging system and reconstruction spectral imaging method |
| CN115988300B (en) * | 2022-12-20 | 2024-08-27 | 中国科学院长春光学精密机械与物理研究所 | Space cooperation target miniaturized imaging device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103674248A (en) * | 2013-11-22 | 2014-03-26 | 深圳先进技术研究院 | Spectral data acquisition and transmission system and operating and application methods thereof |
| CN104154997A (en) * | 2014-07-16 | 2014-11-19 | 北京空间机电研究所 | Unmanned aerial vehicle mounted light and small-sized self-stabilized flight multispectral imaging system |
| CN205049240U (en) * | 2015-09-30 | 2016-02-24 | 中国农业科学院农业资源与农业区划研究所 | Hyperspectral imager system |
-
2017
- 2017-12-14 CN CN201711336782.6A patent/CN108061600B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103674248A (en) * | 2013-11-22 | 2014-03-26 | 深圳先进技术研究院 | Spectral data acquisition and transmission system and operating and application methods thereof |
| CN104154997A (en) * | 2014-07-16 | 2014-11-19 | 北京空间机电研究所 | Unmanned aerial vehicle mounted light and small-sized self-stabilized flight multispectral imaging system |
| CN205049240U (en) * | 2015-09-30 | 2016-02-24 | 中国农业科学院农业资源与农业区划研究所 | Hyperspectral imager system |
Non-Patent Citations (3)
| Title |
|---|
| 实现空间高分辨率成像的数字域时间延迟积分CMOS相机设计及分析;陶淑苹 等;《光学学报》;20120430;第32卷(第4期);第2-3节，图2-3 * |
| 数字域斜模态时间延迟积分技术;金光 等;《液晶与显示》;20170831;第32卷(第8期);全文 * |
| 采用卷帘数字域TDI技术的CMOS成像系统设计;陶淑苹 等;《红外与激光工程》;20120930;第41卷(第9期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108061600A (en) | 2018-05-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108061600B (en) | A kind of miniaturization spectrum imaging system and imaging method | |
| CN103051833B (en) | Picture pick-up device and manufacture method, image processing apparatus and image processing method | |
| Oh et al. | Do it yourself hyperspectral imaging with everyday digital cameras | |
| CN107959778B (en) | Imaging method and device based on dual camera | |
| CN106572340B (en) | Camera system, mobile terminal and image processing method | |
| CN103575406B (en) | There is the thermal imaging camera of intermittent image capture | |
| CN102204258B (en) | Image inputting apparatus | |
| CN104168475B (en) | A kind of imaging type of digital camera changeable parameters obtains the method for color tristimulus values | |
| CN108055452A (en) | Image processing method, device and equipment | |
| CN109788170A (en) | It is a kind of based on infrared with video image processing system and method for visible light | |
| CN107800965B (en) | Image processing method, device, computer readable storage medium and computer equipment | |
| CN108111749A (en) | Image processing method and device | |
| CN107493432A (en) | Image processing method, device, mobile terminal and computer-readable recording medium | |
| CN107770521B (en) | Camera shooting mode method of adjustment | |
| CN107911683B (en) | Image white balancing treatment method, device, storage medium and electronic equipment | |
| CN107801011B (en) | White balancing treatment method, device and the equipment of pan-shot | |
| CN108156435A (en) | Image processing method and device, computer readable storage medium and computer equipment | |
| CN109712177A (en) | Image processing method, device, electronic equipment and computer readable storage medium | |
| CN107707789A (en) | Monochromatic color mapping is carried out using monochromatic imager and color mapped sensors | |
| CN108053438A (en) | Depth of field acquisition methods, device and equipment | |
| CN110166706A (en) | Image processing method, device, electronic equipment and storage medium | |
| CN109360254A (en) | Image processing method and device, electronic equipment, computer readable storage medium | |
| CN103390290A (en) | Information processing device and information processing method | |
| CN102694973A (en) | Image capturing apparatus | |
| CN107872631A (en) | Image capturing method, device and mobile terminal based on dual camera |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |