CN110389390A - A kind of infrared low-light natural sense color integration system of big visual field - Google Patents
A kind of infrared low-light natural sense color integration system of big visual field Download PDFInfo
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- CN110389390A CN110389390A CN201910471910.0A CN201910471910A CN110389390A CN 110389390 A CN110389390 A CN 110389390A CN 201910471910 A CN201910471910 A CN 201910471910A CN 110389390 A CN110389390 A CN 110389390A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V8/00—Prospecting or detecting by optical means
- G01V8/10—Detecting, e.g. by using light barriers
- G01V8/20—Detecting, e.g. by using light barriers using multiple transmitters or receivers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
Abstract
The invention discloses a kind of big infrared low-light natural sense color integration systems of visual field, including pedestal, and the horizontal rotation support frame being movably installed on pedestal, and are fixed on the signal processing integral box rotated horizontally above support frame；Big visual field infrared low-light natural sense color integration system is installed in the signal processing integral box；The infrared low-light natural sense color integration system of big visual field includes acquiring the infrared image acquisition units with the scene information of low-light wave band in big airspace respectively for two-way, and for inhibiting picture noise signal and artifact, improve the image pre-processing unit of twilight image details, infrared image highest priority significance degree；The infrared low-light natural sense color integration system of big visual field of the invention not only increases traditional infrared/low-light emerging system scenario building and comfortable observation detection airspace that is horizontal, and increasing, has widened systematic difference field.
Description
Technical field
The present invention relates to a kind of big infrared low-light natural sense color integration systems of visual field, belong to bionical visual field and target
Intelligent identification technology field.
Background technique
Image color integration technology reflects the useful information of Same Scene different-waveband by excavating, and utilizes specific data
Processing method, obtain more fully, the image of accurate and suitable eye-observation.As shown in Figure 1, wide field staring imaging technique is logical
It crosses introducing " non-similar imaging " and " alternating compression " is carried out to object space, obtain the big airspace object space scene imaging of monoscopic.Image is color
Color fusion aspect proposes natural sense colorization method based on human eye vision, based on color difference and original in the prior art
The Pixel-level pseudo-color fusion method that signal retains and the colorization method tabled look-up based on natural colour.Wide field staring imaging side
Face is equipped with the infrared sensor that six monoscopics are 90 ° in F-35 opportunity of combat；2007, Immer Vision company proposed
A kind of big visual field lens design scheme with multiple resolution ratio；The Airborne IR for the Pimaws system that German GMBH company proposes
Alarm device, field angle is up to 105 °.In addition, large-view field visible light microscopic head more application in safety monitoring, field of machine vision.
The big infrared low-light natural sense color integration system of visual field has both natural sense color integration technology and wide field staring imaging technique
Advantage makes up respective deficiency, can promote observer to the comfortable observation level of scene and interpretation, understandability.
Summary of the invention
To solve the above problems, that the invention proposes a kind of detection airspaces for being able to solve conventional color fusion method is small,
The sense of reality and the weak deficiency of comfort level, expand the detecting airspace of infrared/low-light emerging system, improve scenario building and highest priority
The infrared low-light natural sense color integration system of big visual field of significant recognition capability.
The infrared low-light natural sense color integration system of big visual field of the invention, including pedestal, and be movably installed on pedestal
Horizontal rotation support frame, and be fixed on rotate horizontally support frame above signal processing integral box；The signal processing is integrated
Big visual field infrared low-light natural sense color integration system is installed in case；The infrared low-light natural sense color integration system of big visual field
System includes acquiring that big airspace is infrared and the image acquisition units of the scene information of low-light wave band respectively for two-way, and for inhibiting
Picture noise signal and artifact improve the image pre-processing unit of twilight image details, infrared image highest priority significance degree,
And the evolution relationship for establishing between infrared/twilight image, complete the image registration unit of image registration, and for realizing
The image fusion unit of infrared/twilight image Pixel-level gray scale fusion, and it is color for carrying out natural sense to gray level blending image
The color transfer unit of color color transmitting processing；Described image acquisition unit includes the upper and lower symmetrically arranged big infrared view of visual field
Feel module and big visual field scotopic vision module；Described image pretreatment unit is connected with image acquisition units；Described image is matched
Quasi- unit is connect with image pre-processing unit；Described image integrated unit is connected with image registration unit；The color transmitting is single
Member is connect with image fusion unit.
Further, the infrared vision module of the big visual field and big its visual field overlapping region of visual field scotopic vision module reach
90% or more of itself visual field.
Further, the infrared vision module of big visual field is by big visual field infrared lens, infrared detector and the first image
Capture card composition；The big visual field infrared lens are installed on front side of signal processing integral box；The big visual field scotopic vision module
It is made of big visual field low-light camera lens, fainter light detector and the second image pick-up card；The big visual field low-light camera lens is installed on signal
It handles on front side of integral box；The big visual field infrared lens are located above big visual field low-light camera lens.
Further, described image acquisition unit obtains IR Scene information by big visual field infrared lens, and through infrared
Picture signal is transferred to image pre-processing unit by detector and the first image pick-up card；It is obtained simultaneously by big visual field low-light camera lens
Low-light wave band scene information is taken, and picture signal is transferred to image preprocessing list through fainter light detector and the second image pick-up card
Member, the image information of the infrared and visible light wave range for acquiring Same Scene.
Still further, the big visual field infrared lens and big visual field low-light camera lens its stare field angle >=100 ° × 75 °,
Response wave band is respectively 3~14 μm, 0.38~0.78 μm.
Further, described image pretreatment unit its using median filtering and self-adapting enhancement method improve image noise
Than inhibiting the noise in two-way picture signal, enhanced scene and target effective information.
Further, described image registration unit its detected using big visual field characteristic point and extract key point, seek binocular
Big visual field core line model establishes generic features description of infrared/low-light, is detected according to similarity and determine match point, completed double
The big field of view (fov) registration of mesh；Specifically, by preparatory calibration result, the big visual field core line model of binocular is established；In the big view field image of binocular
In, image detail signal is retained using nonlinear filtering, key point interested is extracted using FAST, by calculating, comparing two width
The Harris value of all key points in image removes the non-matching point in part；Spurious matches point is found, near core line currently to close
Centered on key point, local feature description's based on lissajous figures is constructed；The similarity of comparative feature description, secondary meter
It calculates, select match point, find final matching double points, calculate registration model.
Further, described image integrated unit its using NSCT is theoretical and sparse representation theory, by big visual field it is infrared and
Twilight image is decomposed into high and low frequency part, and low frequency component directly carries out sparse fusion, and high fdrequency component is first transformed into the domain ICA,
Then sparse fusion is carried out, finally low frequency and high frequency fusion component are reconstructed, obtain gray level blending image；Specifically,
It is converted by NSCT, decomposes that big visual field is infrared and twilight image is high and low frequency part respectively；For low frequency part, using mentioning
The low frequency dictionary of preceding foundation carries out rarefaction representation, then uses the amalgamation mode of Max-L1, completes the fusion of low frequency sparse coefficient, obtains
Image low frequency is taken to merge part；For high frequency section, high-frequency components are transformed into the domain ICA and carry out high frequency sparse coefficient fusion,
It obtains image high frequency and merges part；By NSCT inverse transformation, final blending image is obtained.
Further, the natural sense color data library that its utilization of the color transfer unit is established, merges gray level and schemes
Different scenes and its highest priority as in carry out color transmitting；Specifically, by extracting, analyzing, big visual field is infrared and low-light figure
The feature vector of picture clusters composition each in image；Meanwhile according to the natural sense color data library of foundation, seek all kinds of
The color mapping model of type generates natural sense colorization map picture.
Compared with prior art, the infrared low-light natural sense color integration system of big visual field of the invention is comprehensive by the present invention
With the non-similar imaging technique of big visual field, infrared/low-light integration technology and natural sense colorization technology, tradition fusion system is expanded
The detection airspace of system improves the detail level of big visual field scene, increases system trend perception and human eye comfortably observes energy
Power improves target identification probability, widened big visual field it is infrared/application range of low-light integration technology.
Detailed description of the invention
Fig. 1 is the non-similar imaging schematic diagram of big visual field in the prior art.
Fig. 2 is the infrared low-light natural sense color integration system structure diagram of big visual field of the invention.
Fig. 3 is the infrared low-light natural sense color integration working-flow figure of big visual field of the invention.
Each component mark in attached drawing are as follows: the big visual field infrared lens of 1-, the big visual field low-light camera lens of 2-, 3- signal processing are integrated
Case, 4- rotate horizontally support frame, 5- pedestal.
Specific embodiment
The infrared low-light natural sense color integration system of big visual field as shown in Figures 2 and 3, including pedestal 5, and activity installation
In the horizontal rotation support frame 4 on pedestal 5, and it is fixed on the signal processing integral box 3 for rotating horizontally 4 top of support frame；It is described
Big visual field infrared low-light natural sense color integration system is installed in signal processing integral box 3；The infrared low-light of big visual field is certainly
So sense color integration system includes acquiring the infrared Image Acquisition with the scene information of low-light wave band in big airspace respectively for two-way
Unit, and for inhibiting picture noise signal and artifact improves twilight image details, infrared image highest priority significance degree
Image pre-processing unit, and the evolution relationship for establishing between infrared/twilight image, complete the image registration of image registration
Unit, and for realizing the image fusion unit of infrared/twilight image Pixel-level gray scale fusion, and for merging figure to gray level
Color transfer unit as carrying out the transmitting processing of natural sense colour tint；Described image acquisition unit includes upper and lower is symmetrical arranged
The infrared vision module of big visual field and big visual field scotopic vision module；Described image pretreatment unit is connected with image acquisition units
It connects；Described image registration unit is connect with image pre-processing unit；Described image integrated unit is connected with image registration unit；Institute
Color transfer unit is stated to connect with image fusion unit.
The infrared vision module of big visual field and big its visual field overlapping region of visual field scotopic vision module reach itself visual field
90% or more.
The infrared vision module of big visual field is by big visual field infrared lens 1, infrared detector and the first image pick-up card group
At；The big visual field infrared lens are installed on front side of signal processing integral box；The big visual field scotopic vision module is by big visual field
Low-light camera lens 2, fainter light detector and the second image pick-up card composition；It is integrated that the big visual field low-light camera lens is installed on signal processing
3 front side of case；The big visual field infrared lens 1 are located at big 2 top of visual field low-light camera lens.
Described image acquisition unit obtains IR Scene information by big visual field infrared lens 1, and through infrared detector and
Picture signal is transferred to image pre-processing unit by the first image pick-up card；Low-light is obtained by big visual field low-light camera lens 2 simultaneously
Wave band scene information, and picture signal is transferred to image pre-processing unit through fainter light detector and the second image pick-up card, it uses
In the image information of the infrared and visible light wave range of acquisition Same Scene.
The big visual field infrared lens 1 and big visual field low-light camera lens 2 its stare field angle >=100 ° × 75 °, response wave band
Respectively 3~14 μm, 0.38~0.78 μm.
It utilizes median filtering and self-adapting enhancement method to improve signal noise ratio (snr) of image to described image pretreatment unit, inhibits two
Noise in the picture signal of road, enhanced scene and target effective information.
It is detected using big visual field characteristic point to extract key point described image registration unit, seeks the big visual field core line of binocular
Model establishes generic features description of infrared/low-light, is detected according to similarity and determine match point, completed the big visual field of binocular and match
It is quasi-；Specifically, by preparatory calibration result, the big visual field core line model of binocular is established；In the big view field image of binocular, use is non-thread
Property filtering retain image detail signal, key point interested is extracted using FAST, it is related by calculating, comparing institute in two images
The Harris value of key point removes the non-matching point in part；Spurious matches point is found near core line, centered on current key point,
Construct local feature description's based on lissajous figures；The similarity of comparative feature description, secondary calculating select matching
Point finds final matching double points, calculates registration model.
Described image integrated unit its using NSCT is theoretical and sparse representation theory, by big visual field is infrared and twilight image point
Solution is high and low frequency part, and low frequency component directly carries out sparse fusion, and high fdrequency component is first transformed into the domain ICA, then carries out dilute
Fusion is dredged, finally low frequency and high frequency fusion component are reconstructed, obtain gray level blending image；Specifically, become by NSCT
It changes, decomposes that big visual field is infrared and twilight image is high and low frequency part respectively；It is low using what is established in advance for low frequency part
Frequency dictionary carries out rarefaction representation, then uses the amalgamation mode of Max-L1, completes the fusion of low frequency sparse coefficient, obtains image low frequency
Merge part；For high frequency section, high-frequency components are transformed into the domain ICA and carry out high frequency sparse coefficient fusion, it is high to obtain image
Frequency fusion part；By NSCT inverse transformation, final blending image is obtained.
It utilizes the natural sense color data library established to the color transfer unit, to the difference in gray level blending image
Scene and its highest priority carry out color transmitting；Specifically, by extract, analyze big visual field is infrared and the feature of twilight image to
Amount, clusters composition each in image；Meanwhile according to the natural sense color data library of foundation, seeks all types of colors and reflect
Model is penetrated, natural sense colorization map picture is generated.
The infrared low-light natural sense color integration system of big visual field of the invention, first pass through image acquisition units thereon, decentralization
The big visual field set is infrared, low-light camera lens and its corresponding infrared, fainter light detector and the first, second image pick-up card, obtains in real time
Take low-light and IR Scene sequence；Again by infrared and twilight image of the image pre-processing unit to acquisition carries out noise reduction, signal increases
Strength reason, inhibits noise and artifact, retains twilight image details, prominent infrared image highest priority and scenery；Then image is matched
Quasi- unit demarcates imaging law and big visual field core line principle according to big visual field internal reference, matches the key in the infrared and big visual field of low-light
Point, establishes registration model, completes that big visual field is infrared and twilight image registration；Then image fusion unit with rarefaction representation and
NSCT transformation theory completes the fusion of image pixel-class gray level image；Last color transfer unit according to scenery in blending image and
Its objective attribute target attribute constructs natural color java standard library and with it for reference, carries out the transmitting of natural sense colour tint to blending image；No
Traditional infrared/low-light emerging system scenario building and comfortable observation detection airspace that is horizontal, and increasing are improved only, is widened
Systematic difference field.
Above-described embodiment is only better embodiment of the invention, therefore all according to structure described in present patent application range
It makes, the equivalent change or modification that feature and principle are done, is included in the scope of the patent application of the present invention.
Claims (9)
1. a kind of infrared low-light natural sense color integration system of big visual field, it is characterised in that: including pedestal, and be movably installed in bottom
Horizontal rotation support frame on seat, and it is fixed on the signal processing integral box rotated horizontally above support frame；The signal processing
Big visual field infrared low-light natural sense color integration system is installed in integral box；The infrared low-light natural sense colour of big visual field melts
Collaboration system includes acquiring the infrared image acquisition units with the scene information of low-light wave band in big airspace respectively for two-way, and be used for
Inhibit picture noise signal and artifact, improves the image preprocessing of twilight image details, infrared image highest priority significance degree
Unit, and the evolution relationship for establishing between infrared/twilight image are completed the image registration unit of image registration, and are used
In the image fusion unit for realizing infrared/twilight image Pixel-level gray scale fusion, and for being carried out certainly to gray level blending image
So color transfer unit of sense colour tint transmitting processing；Described image acquisition unit includes upper and lower symmetrically arranged big visual field
Infrared vision module and big visual field scotopic vision module；Described image pretreatment unit is connected with image acquisition units；It is described
Image registration unit is connect with image pre-processing unit；Described image integrated unit is connected with image registration unit；The color
Transfer unit is connect with image fusion unit.
2. the infrared low-light natural sense color integration system of big visual field according to claim 1, it is characterised in that: the big view
The infrared vision module in field and big its visual field overlapping region of visual field scotopic vision module reach 90% or more of itself visual field.
3. the infrared low-light natural sense color integration system of big visual field according to claim 1, it is characterised in that: the big view
The infrared vision module in field is made of big visual field infrared lens, infrared detector and the first image pick-up card；The big visual field is infrared
Camera lens is installed on front side of signal processing integral box；The big visual field scotopic vision module is by big visual field low-light camera lens, micro light detecting
Device and the second image pick-up card composition；The big visual field low-light camera lens is installed on front side of signal processing integral box；The big visual field
Infrared lens are located above big visual field low-light camera lens.
4. the infrared low-light natural sense color integration system of big visual field according to claim 1, it is characterised in that: described image
Acquisition unit obtains IR Scene information by big visual field infrared lens, and will scheme through infrared detector and the first image pick-up card
As signal is transferred to image pre-processing unit；Low-light wave band scene information is obtained by big visual field low-light camera lens simultaneously, and through micro-
Picture signal is transferred to image pre-processing unit by optical detector and the second image pick-up card.
5. the infrared low-light natural sense color integration system of big visual field according to claim 3 or 4, it is characterised in that: described
It stares field angle >=100 ° × 75 ° for big visual field infrared lens and big visual field low-light camera lens, response wave band is respectively 3~14 μm,
0.38~0.78 μm.
6. the infrared low-light natural sense color integration system of big visual field according to claim 1, it is characterised in that: described image
It utilizes median filtering and self-adapting enhancement method to improve signal noise ratio (snr) of image to pretreatment unit, inhibits making an uproar in two-way picture signal
Sound, enhanced scene and target effective information.
7. the infrared low-light natural sense color integration system of big visual field according to claim 1, it is characterised in that: described image
It is detected using big visual field characteristic point to extract key point registration unit, is sought the big visual field core line model of binocular, is established infrared/micro-
The generic features of light describe son, are detected according to similarity and determine match point, complete the big field of view (fov) registration of binocular.
8. the infrared low-light natural sense color integration system of big visual field according to claim 1, it is characterised in that: described image
Integrated unit its using NSCT is theoretical and sparse representation theory, it is big visual field is infrared and twilight image is decomposed into high and low frequency portion
Point, low frequency component directly carries out sparse fusion, and high fdrequency component is first transformed into the domain ICA, sparse fusion is then carried out, finally by low frequency
It is reconstructed with high frequency fusion component, obtains gray level blending image.
9. the infrared low-light natural sense color integration system of big visual field according to claim 1, it is characterised in that: the color
It utilizes the natural sense color data library established to transfer unit, to the different scenes and its highest priority in gray level blending image
Carry out color transmitting.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115587950A (en) * | 2022-11-03 | 2023-01-10 | 昆山腾云达信息咨询技术服务中心(有限合伙) | Low-light-level enhanced color recovery method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101339653A (en) * | 2008-01-30 | 2009-01-07 | 西安电子科技大学 | Infrared and colorful visual light image fusion method based on color transfer and entropy information |
| US20100127171A1 (en) * | 2008-11-25 | 2010-05-27 | Flir Systems Ab | Ir camera with adjustable view parameter settings |
| CN101867685A (en) * | 2010-06-25 | 2010-10-20 | 北京理工大学 | Two-waveband video fast naturalness color integration method based on color look-up table |
| US20100277595A1 (en) * | 2005-10-18 | 2010-11-04 | Reed Matthew W | Clip-on infrared imager |
| CN102547063A (en) * | 2012-02-08 | 2012-07-04 | 南京航空航天大学 | Natural sense color fusion method based on color contrast enhancement |
| CN104361595A (en) * | 2014-11-19 | 2015-02-18 | 中国科学院半导体研究所 | Remote six-dimensional night viewing method |
| CN105447838A (en) * | 2014-08-27 | 2016-03-30 | 北京计算机技术及应用研究所 | Method and system for infrared and low-level-light/visible-light fusion imaging |
| CN107481214A (en) * | 2017-08-29 | 2017-12-15 | 北京华易明新科技有限公司 | A kind of twilight image and infrared image fusion method |
| CN107886488A (en) * | 2017-12-04 | 2018-04-06 | 国网山东省电力公司电力科学研究院 | Based on AUV image interfusion methods, processor and the system for improving PCNN compensation |
| US20190070523A1 (en) * | 2013-04-08 | 2019-03-07 | Chromacon Ag | Chromatographic purification method |
-
2019
- 2019-05-31 CN CN201910471910.0A patent/CN110389390B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100277595A1 (en) * | 2005-10-18 | 2010-11-04 | Reed Matthew W | Clip-on infrared imager |
| CN101339653A (en) * | 2008-01-30 | 2009-01-07 | 西安电子科技大学 | Infrared and colorful visual light image fusion method based on color transfer and entropy information |
| US20100127171A1 (en) * | 2008-11-25 | 2010-05-27 | Flir Systems Ab | Ir camera with adjustable view parameter settings |
| CN101867685A (en) * | 2010-06-25 | 2010-10-20 | 北京理工大学 | Two-waveband video fast naturalness color integration method based on color look-up table |
| CN102547063A (en) * | 2012-02-08 | 2012-07-04 | 南京航空航天大学 | Natural sense color fusion method based on color contrast enhancement |
| US20190070523A1 (en) * | 2013-04-08 | 2019-03-07 | Chromacon Ag | Chromatographic purification method |
| CN105447838A (en) * | 2014-08-27 | 2016-03-30 | 北京计算机技术及应用研究所 | Method and system for infrared and low-level-light/visible-light fusion imaging |
| CN104361595A (en) * | 2014-11-19 | 2015-02-18 | 中国科学院半导体研究所 | Remote six-dimensional night viewing method |
| CN107481214A (en) * | 2017-08-29 | 2017-12-15 | 北京华易明新科技有限公司 | A kind of twilight image and infrared image fusion method |
| CN107886488A (en) * | 2017-12-04 | 2018-04-06 | 国网山东省电力公司电力科学研究院 | Based on AUV image interfusion methods, processor and the system for improving PCNN compensation |
Non-Patent Citations (1)
| Title |
|---|
| 安效伟: "基于边界效应的立体视觉匹配研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115587950A (en) * | 2022-11-03 | 2023-01-10 | 昆山腾云达信息咨询技术服务中心(有限合伙) | Low-light-level enhanced color recovery method |
| CN115587950B (en) * | 2022-11-03 | 2023-09-26 | 昆山腾云达信息咨询技术服务中心(有限合伙) | Low-light-level enhanced color recovery method |
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