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CN103507712A - Short-wave infrared driver vision enhancement system - Google Patents

Short-wave infrared driver vision enhancement system Download PDF

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Publication number
CN103507712A
CN103507712A CN201310422998.XA CN201310422998A CN103507712A CN 103507712 A CN103507712 A CN 103507712A CN 201310422998 A CN201310422998 A CN 201310422998A CN 103507712 A CN103507712 A CN 103507712A
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short
wave infrared
image
unit
parameter
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CN103507712B (en
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王斯建
杨锋
董磊
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Anhui Hong Pu Electro-Optical Technology Inc (us) 62 Martin Road Concord Massachusetts 017
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Anhui Hong Pu Electro-Optical Technology Inc (us) 62 Martin Road Concord Massachusetts 017
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Abstract

The invention provides a short-wave infrared driver vision enhancement system. The short-wave infrared driver vision enhancement system comprises a short-wave infrared transmitting lens, a short-wave infrared imaging device, an integrated data processing device, a control module, a power module and a display device. The short-wave infrared transmitting lens is connected with the short-wave infrared imaging device; the integrated data processing device is connected with the short-wave infrared imaging device through a data transmitting line, and is connected with the display device through a video signal line; the control module is connected with the short-wave infrared imaging device and the integrated data processing device through control lines; the power module provides a power supply required by the system; the short-wave infrared transmitting lens, the short-wave infrared imaging device, the integrated data processing device, the control module, the power module and the display device are all installed in a cab. The short-wave infrared driver vision enhancement system has the advantages that because the short-wave infrared driver vision enhancement system is installed in the cab through the characteristic that short-wave infrared penetrates through glass, the defect that a long-wave infrared vision enhancing system needs installing outside a vehicle because of being not capable of penetrating through glass is overcome, and the requirements for preventing wind, rain and burglary structurally are lowered.

Description

A kind of short-wave infrared Driver Vision strengthens system
Technical field
The present invention relates to imaging system, specifically a kind of vehicle shortwave infreared imaging device.
Background technology
At present, vehicle is when the low visibility weathers such as night, mist, haze, rain, snow travel, and the limited ,Dui of driver's seat distant place road environment observation ability declines, and traffic accident easily occurs.Existing near infrared Active Imaging technology, initiatively irradiation distance is not far, penetrating fog, haze, rain, snow etc. limited in one's ability, imaging is unintelligible, and is subject to extraneous intense laser interfere.The visual enhance system that adopts Long Wave Infrared Probe, detection range is far away, and penetrating capacity is strong, but LONG WAVE INFRARED one-tenth is that heat distributed image and visible images difference are very large, do not meet the observation habit of human eye, and target detail resolution capability is inadequate.
The basic conception of short-wave infrared told about in " infrared and laser engineering " the 35th the 6th phase of volume article " short-wave infrared imaging technique and Military Application thereof " of the 643rd to the 647th page of publishing in December, 2006, all to utilize the technology of infrared radiation imaging be all infrared imagery technique, comprises passive infrared imaging technique and active IR imaging technology.And short-wave infrared imaging belongs to imaging and passive imaging, because it does not rely on artificial infrared light supply illumination, but be abutted against the short-wave infrared imaging of receiving scenery self reflection.Short-wave infrared spectral region is 0.9~2.5um, all ubiquitous short-wave infrared radiation in reflection environment of all objects.Due to the development of short-wave infrared technology, make the wave band of infrared imaging cover three atmosphere infrared windows that are positioned at long wave, medium wave and short-wave infrared.Short-wave infrared is operated in and just goes out outside visible-range, because adopt catoptric imaging (high temp objects with the similar short-wave infrared of visible ray, temperature also can be sent short-wave infrared light higher than 300 ℃ of objects), thereby imaging is very similar to visible images, details is abundant.During simultaneously short-wave infrared has again, the penetrating capacity of LONG WAVE INFRARED, can under haze, mist, rain, snow environment, still keep good picture contrast, and can penetrate simple glass and organism glass.In addition short-wave infrared can, in the minimum imaging at night to there being starlight, be used natural forms such as the atmospheric envelope aura imaging at night.The aura at atmospheric envelope night is the short-wave infrared part in the spectrum of being launched by hydroxyl ion, thereby short-wave infrared imaging can be used as one of night vision means.
Summary of the invention
Technical matters to be solved of the present invention is to provide a kind of short-wave infrared Driver Vision enhancing system that chaufeur is used that is suitable for, can be operated under aggressive mode and Passive Mode, system is not only simple in structure, imaging clearly, do not glimmer, and can under the mal-conditions such as night, haze, work, make up existing visible ray, the deficiency of LONG WAVE INFRARED aspect drive assist system.
The present invention solves the problems of the technologies described above by the following technical solutions: a kind of short-wave infrared Driver Vision strengthens system, comprise that short-wave infrared sees through camera lens (1), short-wave infrared imaging device (2), integrated data processing (IDP) device (3), control module (4), power module (5), read out instrument (6), described short-wave infrared sees through camera lens (1) and is connected with short-wave infrared imaging device (2), described integrated data processing (IDP) device (3) is connected with short-wave infrared imaging device (2) by data line, by video signal cable, be connected with read out instrument (6), control module (4) connects short-wave infrared imaging device (2) and integrated data processing (IDP) device (3) by control line, power module (5) provides this system required power supply, short-wave infrared sees through camera lens (1), short-wave infrared imaging device (2), integrated data processing (IDP) device (3), control module (4), power module (5), read out instrument (6) is installed in operator's compartment.
Optimize, described short-wave infrared sees through camera lens (1) and short-wave infrared imaging device (2) is arranged on the back mirror behind centre in operator's compartment, towards front windshield.
More optimize, described short-wave infrared imaging device (2), integrated data processing (IDP) device (3), control module (4), power module (5) are all integrated in a containment structure.
Concrete, described short-wave infrared sees through camera lens (1) and sees through visible ray and the infrared light of wavelength within the scope of 0.4um~2.5um, and described short-wave infrared imaging device (2) is operated in the short-wave infrared spectrum segment of 0.9~2.5um.
More specifically, described integrated data processing (IDP) device (3) comprises image acquisition and correction module (32), intelligent harsh environment image enhancing unit (34), image display (36), described image acquisition and correction module (32) are first converted to DID by the graphicinformation in short-wave infrared imaging device (2), then proofread and correct and eliminate digital signal distortion; Intelligent harsh environment image enhancing unit (34) is to analyzing through the DID of image acquisition and correction module (32) afterwards, resolve environmental parameters, with environmental parameters comparison pre-stored in intelligent harsh environment image enhancing unit (34), then select corresponding ambient image enhancement unit to carry out ambient image enhancing; Finally by image display (36), deliver to read out instrument (6) and carry out image demonstration, control module (4) is adjusted the parameter of image acquisition and correction module (32), intelligent harsh environment image enhancing unit (34), image display (36) by serial ports or USB2.0.
More specifically, described intelligent harsh environment image enhancing unit (34) comprises image quality measure unit (341), region disconnecting unit (342), environment stage unit (343), strengthens weights unit (344), image enhancing unit (345);
The level of detail of the DID that image quality measure unit (341) is sent here for assessment of image acquisition and correction module (32), when surpassing predetermined threshold, think bright and clear, image is enough clear, data directly output to image display (36) then in the upper demonstration of read out instrument (6), otherwise DID need to be delivered to region disconnecting unit (342), are for further processing;
Region disconnecting unit (342) is divided into San Ge region by DID: region, road surface, it dummy section, other region, then deliver to environment stage unit (343), region disconnecting unit (342) is detected and is isolated region, road surface by curb, by grey level histogram information separated, go out a day dummy section position again, be not in region, road surface, day dummy section be divided into other regions;
Environment stage unit (343) the prestore light conditions of regional and the aspect of model parameter of climatic condition, DID carries out environment classification by Matching Model characteristic parameter, obtains current environment grade, and environmental rating comprises illumination grade G lwith weather grade G c;
Strengthen weights unit (344) by current illumination grade G lwith weather grade G cacquisition is restored weighting parameter W for the illumination of the algorithm for image enhancement of current environment grade lrestore weighting parameter W with weather c;
Image enhancing unit (345) adopts different image processing methods for illumination grade from weather grade, by illumination restoration algorithm and weather restoration algorithm, obtain 2 width restored images, by weighted average method, obtain final restored image, output to image display (36), wherein average weighted weighting parameter W land W cby strengthening weights unit (344), obtain.
More specifically, the picture quality evaluation algorithm based on gradient is selected in described image quality measure unit (341), for people's eye system, the sensitivity of brightness and image variance is proposed to image quality measure formula,
Q=αlogL+βσ+χ
Q is picture quality, α, and β, χ is constant, and L is brightness of image, and σ is that the image variance based on to gradient is estimated.α, the span of β is respectively: 10<α<1000,0<β<10, χ is on the occasion of being used for guaranteeing Q>0.
More specifically, described environment stage unit (343) light image that also prestores strengthens parameter P l, climatic chart image intensifying parameter P coffer image enhancing unit (345), according to environmental rating, inquiry obtains, and the figure image intensifying parameter that environment stage unit (343) prestores and aspect of model parameter write by control module (4).
More specifically, the weighting parameter computing formula of described enhancing weights unit (344) has: [W liw ci]=F (G li, R li, G ci, R ci), wherein illumination grade G li, weather grade G cirefer to a certain particular light grade and weather grade, R li=f 1(P li), R ci=f 2(P ci), R liwhat assess is that current light image strengthens parameter P liat light image, strengthen parameter sets P lin enhancing degree, R liwhat assess is that current light image strengthens parameter P liat light image, strengthen parameter sets P lin enhancing degree, similarly, R ciwhat assess is that current climatic chart image intensifying parameter is at climatic chart image intensifying parameter sets P cin enhancing degree, Existence restraint condition W in addition li=1-W ciif, do not consider enhancing degree, also can simply get W li=1/2, W ci=1/2.
As the scheme of more optimizing, described short-wave infrared Driver Vision strengthens system also needs to comprise extra servicing lighting (7), servicing lighting (7) comprises the laser of bromine tungsten filament lamp, 900nm~2500nm wavelength and any in LED, servicing lighting (7) is together installed in operator's compartment with short-wave infrared imaging device (1), or is independently installed on roof.
The present invention reaches following effect by above-mentioned technical solution:
1, the infrared characteristic that penetrates glass of radiothermy of the present invention, short-wave infrared Driver Vision enhancing system is installed in operator's compartment, make up LONG WAVE INFRARED visual enhance system and needed the deficiency outside installation car because penetrating glass, reduced the antitheft grade of windproof and rain proof requirement in structure simultaneously.
2, short-wave infrared Driver Vision of the present invention strengthens the advantage that penetrating capacity is strong, detection range is far away of the existing LONG WAVE INFRARED of system, and possess visible ray provides higher target detail resolution simultaneously.
3, make full use of the characteristics such as short-wave infrared penetrating under mal-condition, increase in addition intelligent harsh environment image enhancing unit, make the system can adaptive judgement ambient conditions, for the low visible severe scene such as night, haze, carry out selectivity diagram image intensifying, driver assistance is driven under particular surroundings, improve the perception of chaufeur to dangerous road conditions, improved travel safety.
4, native system volume little, install simple and easyly, possess modularization, controllability.
5, optional aggressive mode and Passive Mode.Under aggressive mode, can accomplish cove lighting, in the situation that not disturbing other people, expand field range, improve the imaging definition of device.
Accompanying drawing explanation
Fig. 1 is the structural principle block diagram that short-wave infrared Driver Vision of the present invention strengthens system.
Fig. 2 is the composition module principle block diagram of integrated data processing (IDP) device in the present invention.
The specific embodiment
Below in conjunction with accompanying drawing, the present invention is described in detail.
Refer to Fig. 1, a kind of short-wave infrared Driver Vision of the present invention strengthens system, comprises that short-wave infrared sees through camera lens 1, short-wave infrared imaging device 2, integrated data processing (IDP) device 3, control module 4, power module 5, read out instrument 6.
Described short-wave infrared sees through camera lens 1 and is connected with short-wave infrared imaging device 2; Described integrated data processing (IDP) device 3 is connected with short-wave infrared imaging device 2 by data line, by video signal cable, is connected with read out instrument 6; Control module 4 connects short-wave infrared imaging device 2 and integrated data processing (IDP) device 3 by control line.Control module 4 is controlled the state of short-wave infrared imaging device 2 and integrated data processing (IDP) device 3, finishing man-machine interaction function.Power module 5 provides this system required power supply.Above-mentioned all devices are installed in operator's compartment.
The workflow that this short-wave infrared Driver Vision strengthens system is as follows: by short-wave infrared, see through the short-wave infrared light that camera lens 1 is assembled object, by short-wave infrared imaging device 2, convert short-wave infrared light to graphicinformation again, pass through again the data processing of integrated data processing (IDP) device 3, be delivered on read out instrument 6 and demonstrate object.
Optimize, the infrared characteristic that penetrates simple glass and organism glass of radiothermy, described short-wave infrared sees through camera lens 1 and short-wave infrared imaging device 2 is arranged on the back mirror behind centre in operator's compartment, towards front windshield.
Optimize, for saving interior space, described short-wave infrared imaging device 2, integrated data processing (IDP) device 3, control module 4, power module 5 are all integrated in a containment structure, or described integrated data processing (IDP) device 3 can be arranged on outside shell, as module is external, be independently arranged in car.
Optimize, it is C mouth or CS mouth mirror head that described short-wave infrared sees through camera lens 1;
Optimize, described short-wave infrared sees through camera lens 1 can see through visible ray and the infrared light of wavelength within the scope of 0.4um~2.5um, and described short-wave infrared imaging device 2 is operated in the short-wave infrared spectrum segment of 0.9~2.5um.
Optimize, described short-wave infrared imaging device 2 at least has a short-wave infrared detector, and described short-wave infrared detector is planar array detector or puts first detector or linear array detector.
Further optimize, described short-wave infrared imaging device 2 adopts refrigeration or non-refrigeration short-wave infrared detector, includes but not limited to: the detectors such as CCD, CMOS of indium gallium arsenic (InGaAs), mercury cadmium telluride (HgCdTe), indium antimonide (InSb), near infrared sensitivity.
As a preferred embodiment, described integrated data processing (IDP) device 3 adopts embedded FPGA treater.As shown in Figure 2, described integrated data processing (IDP) device 3 comprises image acquisition and correction module 32, intelligent harsh environment image enhancing unit 34, image display 36.
First described image acquisition and correction module 32 are converted to DID by the graphicinformation in short-wave infrared imaging device 2, then proofread and correct and eliminate the digital signal distortion causing because of camera lens and circuit etc.; The DID of 34 pairs of process image acquisition of intelligent harsh environment image enhancing unit and correction module 32 is analyzed afterwards, resolve environmental parameters, compare with environmental parameters pre-stored in intelligent harsh environment image enhancing unit 34, then select corresponding ambient image enhancement unit to carry out ambient image enhancing; Finally by image display 36, deliver to read out instrument 6 and carry out image demonstration.Control module 4 is mainly adjusted the parameter of image acquisition and correction module 32, intelligent harsh environment image enhancing unit 34, image display 36 by serial ports or USB2.0.
The intelligent harsh environment image enhancing unit 34 of native system is completely adaptive, also can be additionally by the manual Environment parameter of control module 4 to reach better vision display effect.
Further concrete, described intelligent harsh environment image enhancing unit 34 comprises image quality measure unit 341, region disconnecting unit 342, environment stage unit 343, strengthens weights unit 344, image enhancing unit 345.
The level of detail of the DID that image quality measure unit 341 is sent here for assessment of image acquisition and correction module 32, when surpassing predetermined threshold, think bright and clear, image is enough clear, data directly output to image display 36 and then on read out instrument 6, show without region disconnecting unit 342, environment stage unit 343, enhancing weights unit 344, image enhancing unit 345, otherwise DID need to be delivered to region disconnecting unit 342, are for further processing.Whether in the present invention, select the picture quality evaluation algorithm based on gradient, setting the interpretation of picture quality threshold value needs to do further figure image intensifying.For people's eye system, the sensitivity of brightness and image variance are proposed to image quality measure formula,
Q=αlogL+βσ+χ
Q is picture quality, α, and β, χ is constant, and L is brightness of image, and σ is that the image variance based on to gradient is estimated.α, the span of β is respectively: 10<α<1000,0<β<10, χ is on the occasion of being used for guaranteeing Q>0.
Region disconnecting unit 342 is divided into San Ge region by DID: region, road surface, it dummy section, other region, then deliver to environment stage unit 343, region disconnecting unit 342 is detected and is isolated region, road surface by curb, by grey level histogram information separated, go out a day dummy section position again, be not in region, road surface, day dummy section be divided into other regions.
Environment stage unit 343 the prestore light conditions of regional and the aspect of model parameter of climatic condition, DID carries out environment classification by Matching Model characteristic parameter, obtains current environment grade.Environmental rating comprises illumination grade G lwith weather grade G c.Environment stage unit 343 is divided into light conditions extremely secretly to a plurality of grades such as incandescents, by light irradiation information, local light irradiation information, the grey level histogram distribution character of statistics regional, analysis obtains illumination grade, equally, to climatic condition divided rank, according to region, road surface and the division variance analysis of day dummy section, draw weather grade.Environment stage unit 343 is except computing environment grade, and the light image that environment stage unit 343 prestores strengthens parameter P l, climatic chart image intensifying parameter P coffer image enhancing unit 345, according to environmental rating, can inquire about and obtain.The figure image intensifying parameter and the aspect of model parameter that prestore write by control module 4.Figure image intensifying parameter need to be to various illumination and the meteorological conditions modeling of driving a vehicle, and the mode that completes training study obtains, and its objective function is [P lp c]=maxQ (G l, G c, L, Lo, H).Q is picture quality, P lfor light image strengthens parameter, comprise that light image strengthens the parameters such as the field window size used in algorithm and operator, P cfor climatic chart image intensifying parameter, with P lroughly the same.G land G cbe respectively illumination grade, weather grade.L is overall light irradiance, and Lo is local light radiancy.H is same illumination grade G l, weather grade G cunder picture database, picture database is the view data obtaining by great many of experiments.The meaning of objective function is to find out a picture group image intensifying parameter in image data base H corresponding to same illumination grade, weather grade picture quality Q is maximized.It is that off-line completes that figure image intensifying parameter acquiring section is divided, and is independent of that camera completes.And figure image intensifying parameter and being stored in environment stage unit 343 with the enantiomorphic relationship of illumination grade, weather grade, by illumination grade G l, weather grade G cjust can inquire about and obtain light image enhancing parameter P l, climatic chart image intensifying parameter P c.
Strengthen weights unit 344 and obtain the illumination recovery weighting parameter W for the algorithm for image enhancement of current environment grade by current environment grade lrestore weighting parameter W with weather c.Weighting parameter computing formula has: [W liw ci]=F (G li, R li, G ci, R ci), wherein illumination grade G li, weather grade G cirefer to a certain particular light grade and weather grade.R li=f 1(P li), R ci=f 2(P ci), R liwhat assess is that current light image strengthens parameter P liat light image, strengthen parameter sets P lin enhancing degree, similarly, R ciwhat assess is the enhancing degree of weather processing method.Existence restraint condition W in addition li=1-W ciif, do not consider enhancing degree, also can simply get W li=1/2, W ci=1/2.
Image enhancing unit 345 adopts different image processing methods for illumination grade from weather grade, by illumination restoration algorithm and weather restoration algorithm, obtain 2 width restored images, by methods such as weighted means, obtain final restored image, output to image display 36.Average weighted weighting parameter W wherein land W cby strengthening weights unit 344, obtain.The Shilog territory that illumination restoration algorithm adopts dynamically strengthens algorithm, and its specific formula for calculation is:
Figure BDA0000383015680000111
l wherein dbe final display light irradiance, L is primary light irradiance, L abe local light irradiance, field size and operator are by P lgiven, M (*) is mapping function, can select linear mapping or Nonlinear Mapping, as β correction maps.Weather restoration algorithm can be considered the histogram equalization method that partly overlaps, the parameter P relating to ccomprise window size, overlapping spacing, Filtering Template operator etc., histogram equalization method is current more common weather restoration algorithm.
Described read out instrument 6 can be the display equipment on existing vehicle-mounted multimedia terminal, can be also external display equipment, or project on front windshield by projection.
Above-mentioned described short-wave infrared Driver Vision enhancing system is to be operated in Passive Mode, that is to say the image formations by rays such as the short-wave infrared reflection of the passive reception car of described short-wave infrared imaging device 1 external environment, airglow, city noctilucence, headlight.
As further optimization, described in this, short-wave infrared Driver Vision enhancing system also can be operated in aggressive mode, at this moment, described short-wave infrared Driver Vision strengthens system also needs to comprise extra servicing lighting 7, and servicing lighting 7 includes but not limited to: the laser of bromine tungsten filament lamp, 900nm~2500nm wavelength and LED etc.Under aggressive mode, servicing lighting 7 not only makes imaging more clear, can accomplish cove lighting simultaneously.This is that the 7 pairs of human eyes of servicing lighting due to 900nm~2500nm wave band are sightless, therefore can not interfere with the driver that opposite is come.Servicing lighting 7 can together be installed in operator's compartment with short-wave infrared imaging device 1, or is independently installed on the positions such as roof.
The foregoing is only the preferred embodiment of the invention; not in order to limit the invention; any modification of doing within all spirit in the invention and principle, be equal to and replace and improvement etc., within all should being included in the protection domain of the invention.

Claims (10)

1. a short-wave infrared Driver Vision strengthens system, it is characterized in that: comprise that short-wave infrared sees through camera lens (1), short-wave infrared imaging device (2), integrated data processing (IDP) device (3), control module (4), power module (5), read out instrument (6), described short-wave infrared sees through camera lens (1) and is connected with short-wave infrared imaging device (2), described integrated data processing (IDP) device (3) is connected with short-wave infrared imaging device (2) by data line, by video signal cable, be connected with read out instrument (6), control module (4) connects short-wave infrared imaging device (2) and integrated data processing (IDP) device (3) by control line, power module (5) provides this system required power supply, short-wave infrared sees through camera lens (1), short-wave infrared imaging device (2), integrated data processing (IDP) device (3), control module (4), power module (5), read out instrument (6) is installed in operator's compartment.
2. short-wave infrared Driver Vision as claimed in claim 1 strengthens system, it is characterized in that: described short-wave infrared sees through camera lens (1) and short-wave infrared imaging device (2) is arranged on the back mirror behind centre in operator's compartment, towards front windshield.
3. short-wave infrared Driver Vision as claimed in claim 1 strengthens system, it is characterized in that: described short-wave infrared imaging device (2), integrated data processing (IDP) device (3), control module (4), power module (5) are all integrated in a containment structure.
4. short-wave infrared Driver Vision as claimed in claim 1 strengthens system, it is characterized in that: described short-wave infrared sees through camera lens (1) and sees through visible ray and the infrared light of wavelength within the scope of 0.4um~2.5um, and described short-wave infrared imaging device (2) is operated in the short-wave infrared spectrum segment of 0.9~2.5um.
5. the short-wave infrared Driver Vision as described in claim 1 to 4 any one strengthens system, it is characterized in that: described integrated data processing (IDP) device (3) comprises image acquisition and correction module (32), intelligent harsh environment image enhancing unit (34), image display (36), described image acquisition and correction module (32) are first converted to DID by the graphicinformation in short-wave infrared imaging device (2), then proofread and correct and eliminate digital signal distortion; Intelligent harsh environment image enhancing unit (34) is to analyzing through the DID of image acquisition and correction module (32) afterwards, resolve environmental parameters, with environmental parameters comparison pre-stored in intelligent harsh environment image enhancing unit (34), then select corresponding ambient image enhancement unit to carry out ambient image enhancing; Finally by image display (36), deliver to read out instrument (6) and carry out image demonstration, control module (4) is adjusted the parameter of image acquisition and correction module (32), intelligent harsh environment image enhancing unit (34), image display (36) by serial ports or USB2.0.
6. short-wave infrared Driver Vision as claimed in claim 1 strengthens system, it is characterized in that: described intelligent harsh environment image enhancing unit (34) comprises image quality measure unit (341), region disconnecting unit (342), environment stage unit (343), strengthens weights unit (344), image enhancing unit (345);
The level of detail of the DID that image quality measure unit (341) is sent here for assessment of image acquisition and correction module (32), when surpassing predetermined threshold, think bright and clear, image is enough clear, data directly output to image display (36) then in the upper demonstration of read out instrument (6), otherwise DID need to be delivered to region disconnecting unit (342), are for further processing;
Region disconnecting unit (342) is divided into San Ge region by DID: region, road surface, it dummy section, other region, then deliver to environment stage unit (343), region disconnecting unit (342) is detected and is isolated region, road surface by curb, by grey level histogram information separated, go out a day dummy section position again, be not in region, road surface, day dummy section be divided into other regions;
Environment stage unit (343) the prestore light conditions of regional and the aspect of model parameter of climatic condition, DID carries out environment classification by Matching Model characteristic parameter, obtains current environment grade, and environmental rating comprises illumination grade G lwith weather grade G c;
Strengthen weights unit (344) by current illumination grade G lwith weather grade G cacquisition is restored weighting parameter W for the illumination of the algorithm for image enhancement of current environment grade lrestore weighting parameter W with weather c;
Image enhancing unit (345) adopts different image processing methods for illumination grade from weather grade, by illumination restoration algorithm and weather restoration algorithm, obtain 2 width restored images, by weighted average method, obtain final restored image, output to image display (36), wherein average weighted weighting parameter W land W cby strengthening weights unit (344), obtain.
7. short-wave infrared Driver Vision as claimed in claim 6 strengthens system, it is characterized in that: the picture quality evaluation algorithm based on gradient is selected in described image quality measure unit (341), for people's eye system, the sensitivity of brightness and image variance are proposed to image quality measure formula
Q=αlogL+βσ+χ
Q is picture quality, α, and β, χ is constant, and L is brightness of image, and σ is that the image variance based on to gradient is estimated, α, the span of β is respectively: 10<α<1000,0<β<10, χ is on the occasion of being used for guaranteeing Q>0.
8. short-wave infrared Driver Vision as claimed in claim 6 strengthens system, it is characterized in that: described environment stage unit (343) light image that also prestores strengthens parameter P l, climatic chart image intensifying parameter P coffer image enhancing unit (345), according to environmental rating, inquiry obtains, and the figure image intensifying parameter that environment stage unit (343) prestores and aspect of model parameter write by control module (4).
9. short-wave infrared Driver Vision as claimed in claim 6 strengthens system, it is characterized in that: the weighting parameter computing formula of described enhancing weights unit (344) has: [W liw ci]=F (G li, R li, G ci, R ci), wherein illumination grade G li, weather grade G cirefer to a certain particular light grade and weather grade, R li=f 1(P li), R ci=f 2(P ci), R liwhat assess is that current light image strengthens parameter P liat light image, strengthen parameter sets P lin enhancing degree, R liwhat assess is that current light image strengthens parameter P liat light image, strengthen parameter sets P lin enhancing degree, similarly, R ciwhat assess is that current climatic chart image intensifying parameter is at climatic chart image intensifying parameter sets P cin enhancing degree, Existence restraint condition W in addition li=1-W ci.
10. short-wave infrared Driver Vision as claimed in claim 1 strengthens system, it is characterized in that: described short-wave infrared Driver Vision strengthens system also needs to comprise extra servicing lighting (7), servicing lighting (7) comprises the laser of bromine tungsten filament lamp, 900nm~2500nm wavelength and any in LED, servicing lighting (7) is together installed in operator's compartment with short-wave infrared imaging device (1), or is independently installed on roof.
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CN105635679A (en) * 2015-12-30 2016-06-01 深圳市图雅丽特种技术有限公司 Active anti-glare night vision system of vehicle-mounted special device and realization method
CN110855899A (en) * 2019-10-18 2020-02-28 山东大学 High dynamic range imaging method of InGaAs short wave infrared camera based on correlated double sampling
CN111327800A (en) * 2020-01-08 2020-06-23 深圳深知未来智能有限公司 All-weather vehicle-mounted vision system and method suitable for complex illumination environment
US11346938B2 (en) 2019-03-15 2022-05-31 Msa Technology, Llc Safety device for providing output to an individual associated with a hazardous environment

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010050785A1 (en) * 2000-05-17 2001-12-13 Tsutomu Yamazaki Image processing device, method and program product
JP2004345419A (en) * 2003-05-20 2004-12-09 Nissan Motor Co Ltd Night vision system for vehicle and headlight device for vehicle
JP2006319450A (en) * 2005-05-10 2006-11-24 Toyota Motor Corp Night vision device
CN101149554A (en) * 2007-10-29 2008-03-26 西安华金光电系统技术有限公司 Multiple wavelength automatic switching assistant system for driving automobile at night
CN202026401U (en) * 2010-12-27 2011-11-02 特视瞰光电科技(深圳)有限公司 Monitoring camera with image correction enhancement function
CN102582508A (en) * 2012-03-19 2012-07-18 中国汽车技术研究中心 Vehicular night curve auxiliary and vision enhancing device and method thereof
CN203528379U (en) * 2013-09-17 2014-04-09 安徽鸿谱光电科技有限公司 Short-wave-infrared driver vision enhancing system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010050785A1 (en) * 2000-05-17 2001-12-13 Tsutomu Yamazaki Image processing device, method and program product
JP2004345419A (en) * 2003-05-20 2004-12-09 Nissan Motor Co Ltd Night vision system for vehicle and headlight device for vehicle
JP2006319450A (en) * 2005-05-10 2006-11-24 Toyota Motor Corp Night vision device
CN101149554A (en) * 2007-10-29 2008-03-26 西安华金光电系统技术有限公司 Multiple wavelength automatic switching assistant system for driving automobile at night
CN202026401U (en) * 2010-12-27 2011-11-02 特视瞰光电科技(深圳)有限公司 Monitoring camera with image correction enhancement function
CN102582508A (en) * 2012-03-19 2012-07-18 中国汽车技术研究中心 Vehicular night curve auxiliary and vision enhancing device and method thereof
CN203528379U (en) * 2013-09-17 2014-04-09 安徽鸿谱光电科技有限公司 Short-wave-infrared driver vision enhancing system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104442924A (en) * 2014-11-05 2015-03-25 杭州南车城市轨道交通车辆有限公司 All-weather high speed railway vehicle-mounted obstacle detection system and method
CN104442924B (en) * 2014-11-05 2017-02-01 杭州中车车辆有限公司 All-weather high speed railway vehicle-mounted obstacle detection system and method
CN104994270A (en) * 2015-08-06 2015-10-21 麦格纳斯太尔汽车技术(上海)有限公司 Vehicle-mounted camera image processing system in low light environment
CN105635679A (en) * 2015-12-30 2016-06-01 深圳市图雅丽特种技术有限公司 Active anti-glare night vision system of vehicle-mounted special device and realization method
US11346938B2 (en) 2019-03-15 2022-05-31 Msa Technology, Llc Safety device for providing output to an individual associated with a hazardous environment
CN110855899A (en) * 2019-10-18 2020-02-28 山东大学 High dynamic range imaging method of InGaAs short wave infrared camera based on correlated double sampling
CN111327800A (en) * 2020-01-08 2020-06-23 深圳深知未来智能有限公司 All-weather vehicle-mounted vision system and method suitable for complex illumination environment
CN111327800B (en) * 2020-01-08 2022-02-01 深圳深知未来智能有限公司 All-weather vehicle-mounted vision system and method suitable for complex illumination environment

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