CN108240863A - For real-time 2 asymmetric correction methods of Uncooled infrared camera - Google Patents
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Abstract
The invention discloses a kind of real-time 2 asymmetric correction methods for Uncooled infrared camera, by the way that different on piece Nonuniformity Corrections is configured(OCC)Parameter realizes the variation of infrared focal plane array output amplitude, under when needing to be corrected, catch is kept off, adjust infrared focus plane on piece Nonuniformity Correction parameter simultaneously, two frames output image data is obtained, two frames of high response and low-response value are exported into image and its average value is stored in memory;Then the two field pictures of storage are read, real-time two point correction parameter is calculated using the formula of two point correction parameter calculating, and memory is written into the correction parameter calculated, come to carry out Nonuniformity Correction to output image as two point correction parameter, in this way when Uncooled infrared camera works long hours or environment temperature changes, when temperature drift causes the parameter to change, the update of two point correction parameter can be carried out in real time, improves the environmental suitability of Uncooled infrared camera.
Description
Technical field
The invention belongs to infrared image processing fields, and in particular to a kind of real-time 2 points for Uncooled infrared camera
Asymmetric correction method.
Background technology
Infrared light other than 18th century early detection visible spectrum, by the developmental research of more than 200 years, infrared spectrum
Using having been achieved for very big progress.The single pixel detecting devices coarse from early stage is more advanced to the late period eighties in last century
Liquid nitrogen or complexity refrigeration micro-metering bolometer system, infrared imaging system slowly develops, system cost at that time occupy it is high not
It is lower and not readily portable so that the application of movement rests on the key areas such as national defence, aerospace always for many years.
With the development of technology, detector, movement and software systems all obtain certain development in aspect of performance, and enter
The price of gate leve product is also declining, and movement gradually becomes smaller, lighter and more energy efficient.As neighbouring electronic component generates
Heat or the variation of vessel temp or the variation of the target own radiation heat in the visual field, the gain of detector and standard value
Intrinsic drift will occur and deviate stable region, and cause image uneven.Face installs one before the detectors for infrared manufacturer
Mechanical course corrects catch, for obstructing all radiation energies from target, while as a homogeneous background, comes school with this
The heterogeneity of positive detector, the time interval re-calibrated was at several seconds to a few minutes etc..Another method is using two
The mode of point calibration, the homogeneous radiation characteristic acquisition infrared imaging system using black matrix online lower first is to two different temperatures
Two frame response images of black matrix target surface, then using two point correction parameter is calculated and is deposited into system on-chip memory,
The Nonuniformity Correction that the two point correction parameter to prestore carries out output image is recalled in actual work.
Asymmetric correction method in traditional infrared imaging system is being actually used mostly using above two mode
In the process, due to the variation of imaging system use environment temperature, the temperature of imaging system is caused to be affected therewith, so as to influence
The image quality of system leads to the degeneration of picture quality.It, can only by the way of single point correction when environment temperature changes
Output image is corrected by way of instantly multiple catch, kept off due to catch under when system be in blind and regard state, work as ring in this way
The variation of border temperature can cause system to frequently enter blind performance and the field of employment for regarding state, seriously limiting imaging system;Its
The secondary method using two point correction needs to update two point correction parameter to adapt to the variation of environment temperature, and this method needs online
Demarcate multigroup two point correction parameter using black matrix for multiple and different environment temperatures down, and the deposit of these parameters is infrared
In the on-chip memory of imaging system, corresponding environment temperature is then transferred in real time by judging the thermometric chip in imaging system
Under the conditions of the two point correction parameter demarcated, this processing method can guarantee actual imaging environment temperature ring in 2 parameter calibrations
Border temperature is nearby that calibration result is fine, but since the variation of environment temperature is continuous, while the target surface temperature of infrared detector
Degree variation is also unpredictable, thus calibrated at a temperature of a certain specific environment using black matrix come two point correction parameter simultaneously
Environment all in actual use is not adapted to, and if it is desired that the greatest extent may be used with enough two point correction calibrating parameters
The variation for meeting use environment of energy, then need to deposit dozens or even hundreds of group of two point correction parameter, this is deposited for hardware system
Resource is stored up also there are one higher requirement, while can also improve the cost of system.Therefore, there is an urgent need for it is a kind of can be according to real time environment temperature
The change of degree and the heterogeneity correction process algorithm changed.
Invention content
The purpose of the present invention is to provide a kind of real-time 2 Nonuniformity Correction sides for Uncooled infrared camera
Method solves traditional Uncooled infrared camera after working long hours or environment temperature changes, original Nonuniformity Correction ginseng
The problem of number is no longer applicable in, realizes real-time calibration and the update of Nonuniformity Correction parameter, improves uncooled ir thermal imagery
The environmental suitability of instrument.
Realize the object of the invention technical solution be:A kind of real-time 2 points for Uncooled infrared camera it is non-
Even property bearing calibration, includes the following steps:
Step 1) control catch gear is lower as homogeneous target background:
Thermal infrared imager is placed under room temperature environment to work and reaches stable state, when needing to carry out real-time two point correction,
Catch motor is controlled, catch is kept off into lower a period of time, as homogeneous target background.
In step 2) the above-mentioned catch gear lower time, by the way that on piece Nonuniformity Correction (OCC) parameters different twice is configured,
The output response of thermal infrared imager inner detector is controlled, obtains the image data that two frame detectors respond homogeneous background, together
When calculate the mean values of two field pictures, two field pictures data and its mean value are stored in memory simultaneously.
Step 3) reads above-mentioned two field pictures, will be higher defeated according to the computational methods of traditional two point correction parameter
The frame gone out is responded as high-temperature response, a frame of relatively low output as low temperature, and two point schools are calculated using this two field pictures data
Positive parameter value, and it is deposited into memory.
Step 4) is according to two point correction parameter value obtained above, to the original output data of current Uncooled infrared camera
Carry out two point correction, image and output after then being corrected.
Compared with prior art, the present invention its remarkable advantage:(1) traditional single point correction and two point correction method are combined,
The real-time of the two point correction parameter of realization is calculated, stores and is updated.
(2) when the environment temperature residing for Uncooled infrared camera changes, two point correction can be re-scaled in real time
Parameter, without black matrix, without using territory restriction.
Description of the drawings
Fig. 1 is flow chart of the present invention for real-time 2 asymmetric correction methods of Uncooled infrared camera.
Fig. 2 is real-time 2 asymmetric correction methods passed through in the embodiment of the present invention 1 for Uncooled infrared camera
Before processing and treated image, wherein (a) is raw video picture, (b) is treated image.
Specific embodiment
It is further described below in conjunction with the accompanying drawings.
In Uncooled infrared camera, the sound that is generated due to the detector pixel of thermal infrared imager to identical radiation source
Should be inconsistent, lead to occur apparent fixed pattern noise, i.e. heterogeneity on the image, seriously affected picture quality.For
Correction heterogeneity, non-refrigeration type thermal infrared imager can add catch in face before the detectors, kept off with catch under when that frame
Image is calculated as background and detector reality output, so as to reach the heteropical purpose of correction;There is a method in which
It is then the response approximation of detector pixel is demarcated to obtain each pixel of detector to not equality of temperature when linear using black matrix
The response of target, and the mode for determining straight line using 2 points are spent, the correction parameter of two point correction is calculated, so as to reach
The different linear response straight lines of each pixel of detector are corrected on same straight line, reach the mesh of Nonuniformity Correction
's.
In view of this characteristic that the imaging performance of Uncooled infrared camera is affected by environment temperature, and pass
The single point correction of system can only ensure that Uncooled infrared camera normal imaging, environment temperature in very narrow environment temperature section surpass
Image quality will be deteriorated after temperature when going out under catch gear, and heterogeneity will show again;And although two point correction can be protected
Card system normal imaging in slightly wider ambient temperature range, but it still can not adapt to total temperature range, it is impossible to ensure system
Ideal image can be obtained under all environment temperatures, and the update of its parameter is difficult, heavy workload is limited by field of employment
System is serious.In order to solve this shortcoming of traditional asymmetric correction method, in combination with the intrinsic spy of domestic wide mini-prober
Property, with reference to Fig. 1, the present invention proposes and realizes a kind of real-time 2 Nonuniformity Correction sides for Uncooled infrared camera
Method, method and step are as follows:
As homogeneous target background under step 1) control catch gear:
Thermal infrared imager is placed under room temperature environment to work and reaches stable state, when needing to carry out real-time two point correction,
Catch motor is controlled by program, catch is kept off into lower a period of time, as homogeneous target background.
Above-mentioned thermal infrared imager work reaches stable state, due to the presence of Uncooled infrared camera system power consumption, non-system
The temperature of cold thermal infrared imager machine system at work can rise, and the parameter of thermal imaging system will appear temperature drift, original at this time
Correction parameter will no longer be applicable in, need update two point correction parameter;Simultaneously because environment temperature will not mutate, therefore can
Environment temperature keeps stablizing during thinking under catch gear, and the outside environmental elements for influencing detector output response at this time only have catch
With on piece heterogeneity (OCC) correction parameter of Uncooled infrared camera inner detector configuration.
In step 2) the above-mentioned catch gear lower time, by the way that on piece Nonuniformity Correction parameters different twice is configured, control
The output response of thermal infrared imager inner detector, obtains the image data that two frame detectors respond homogeneous background, counts simultaneously
The mean value of two field pictures is calculated, two field pictures data and its mean value are stored in memory simultaneously:
The image data of the uniform scene response of two frames of above-mentioned acquisition is the original output of detector, and due to pixel, there are non-
Uniformity, there is also heterogeneities for image data of the detector under homogeneous background.
The image data mean value of the uniform scene response of two frames of above-mentioned acquisition, if image resolution ratio is A × B, A is line number, B
For columns, then mean value is the sum of all pixels response of a frame image divided by its pixel total number, pixel total number for A with
The product of B.
Step 3) reads above-mentioned two field pictures, will be higher defeated according to the computational methods of traditional two point correction parameter
The frame gone out is responded as high-temperature response, a frame of relatively low output as low temperature, and two point schools are calculated using this two field pictures data
Positive parameter value, and it is deposited into memory:
Traditional two point correction computational methods are:Black matrix target surface is respectively adjusted to two temperature values, is then acquired infrared
Imaging system exports response to the detector that two temperature black matrix target surfaces obtain, and is calculated using collected two frame data
Two point correction parameter, calculation formula are
In formula, K, B are the Nonuniformity Correction parameter of single pixel, and wherein K is gain calibration parameter, and B is bias correction
Parameter,For high temperature frame response average value,For the average value of low temperature frame response, AH is the high temperature of single pixel, and AL is
The low temperature response of single pixel.
Step 4) is according to two point correction parameter value obtained above, to the original output data of current Uncooled infrared camera
Carry out two point correction, image and output after then being corrected:
The concrete methods of realizing of two point correction is;Using two point correction parameter K and B obtained above come to uncooled ir
The original output of thermal imaging system is corrected, and computational methods are
I=K × O+B
In formula, I is output valve of the single pixel after two point correction, and K, B are that the Nonuniformity Correction of single pixel is joined
Number, wherein K be gain calibration parameter, B be bias correction parameter, the original output of O single pixels
Embodiment 1
With reference to Fig. 1, a kind of real-time 2 asymmetric correction methods for Uncooled infrared camera, method and step is such as
Under:
As homogeneous target background under step 1) control catch gear:
Using the domestic wide micro- long-pending electroxidation vanadium thermal infrared imager of the non-refrigeration type of 384 × 288 pixels, work at room temperature.
Thermal infrared imager work reaches stable state, due to the presence of Uncooled infrared camera system power consumption, Uncooled infrared camera
The temperature of machine system can rise at work, and the parameter of thermal imaging system will appear temperature drift, and correction parameter original at this time will
It is no longer applicable in, needs to update two point correction parameter, simultaneously because environment temperature will not mutate, it can be considered that catch is kept off
Environment temperature will keep stablizing when lower, and the outside environmental elements for influencing detector output response at this time only have catch and uncooled ir
On piece heterogeneity (OCC) correction parameter of thermal imaging system inner detector configuration, can control at this time by uncooled ir thermal imagery
The catch of instrument keeps off next short time, as a homogeneous background.
In step 2) the above-mentioned catch gear lower time, by the way that on piece Nonuniformity Correction parameters different twice is configured, control
The output response of thermal infrared imager inner detector, obtains the image data that two frame detectors respond homogeneous background, counts simultaneously
The mean value of two field pictures is calculated, two field pictures data and its mean value are stored in memory simultaneously:
The image data of the uniform scene response of two frames of above-mentioned acquisition is the original output of detector, and due to pixel, there are non-
Uniformity, there is also heterogeneities for image data of the detector under homogeneous background.
The image data mean value of the uniform scene response of two frames of above-mentioned acquisition, if image resolution ratio is A × B, A is line number, B
For columns, then mean value is the sum of all pixels response of a frame image divided by its pixel total number, pixel total number for A with
The product of B.
After catch gear is lower, the output that system can send on piece Nonuniformity Correction word control detector to detector responds
It is 14bit data since the response of detector exports after AD is sampled, when control response in a relatively low range
Average value is desired value in 5000-6000 or so, and this frame data and its average value are stored in the on-chip memory of system,
It is preserved this frame data as the low temperature frame of two point correction;Then Nonuniformity Correction parameter in configuration slice again, will detect
The output phase of device should be controlled in a higher range, i.e. its average value by this frame data and is put down in 9000-10000 or so
Mean value is also stored in the on-chip memory of system, is preserved this frame data as the high temperature frame of two point correction.
Step 3) reads above-mentioned two field pictures, will be higher defeated according to the computational methods of traditional two point correction parameter
The frame gone out is responded as high-temperature response, a frame of relatively low output as low temperature, and two point schools are calculated using this two field pictures data
Positive parameter value, and it is deposited into memory:
Then this two frame data of above-mentioned storage are read, the KB of two point correction is calculated according to the calculation formula of two point correction
Parameter, calculation formula are:
In formula, K, B are the Nonuniformity Correction parameter of single pixel, and wherein K is gain calibration parameter, and B is bias correction
Parameter,For high temperature frame response average value,For the average value of low temperature frame response, AH is the high temperature of single pixel, and AL is
The low temperature response of single pixel.Above-mentioned detector shares 384 × 288 pixels, and corresponding K, B parameter also have 384 × 288
A, after the completion of K, B parameter calculate, nonvolatile storage is also written in the memory for being deposited into system while, be written it is non-easily
The purpose of mistake is that the parameter demarcated just now after preventing from restarting at this time is lost.Hereafter system can be transferred just newer non-equal
Even property correction parameter, the calculating renewal process of entire parameter need similar 2s or so, therefore this period under catch gear
The calculating, storage and real-time update of two point correction parameter can be inside realized completely.
Step 4) is according to two point correction parameter value obtained above, to the original output data of current Uncooled infrared camera
Carry out two point correction, image and output after then being corrected:
The concrete methods of realizing of two point correction is;Using two point correction parameter K and B obtained above come to uncooled ir
The original output of thermal imaging system is corrected, and computational methods are
I=K × O+B
In formula, I is output valve of the single pixel after two point correction, and K, B are that the Nonuniformity Correction of single pixel is joined
Number, wherein K are gain calibration parameter, and B is bias correction parameter, and O is the original output of single pixel
With reference to Fig. 2, wherein, Fig. 2 (a) was worked for imaging system after a period of time, exported the image without two point correction,
Target and background, vertical line and twill all exist, and heterogeneity is more serious;Fig. 2 (b) is by real-time proposed in foregoing invention
Obtained correction image after the processing of two point correction method, it can be seen that the Nonuniformity Correction of image it is ideal, in image
Distinguishing of being apparent from of target and background.
Claims (3)
1. a kind of real-time 2 asymmetric correction methods for Uncooled infrared camera, which is characterized in that including following
Step:
Step 1) control catch gear is lower as homogeneous target background:
Thermal infrared imager is placed under room temperature environment to work and reaches stable state, when needing to carry out real-time two point correction, control
Catch is kept off lower a period of time, as homogeneous target background by catch motor;
In step 2) the above-mentioned catch gear lower time, by the way that on piece Nonuniformity Correction (OCC) parameters different twice is configured, control
The output response of thermal infrared imager inner detector, obtains the image data that two frame detectors respond homogeneous background, counts simultaneously
The mean value of two field pictures is calculated, two field pictures data and its mean value are stored in memory simultaneously;
Step 3) reads above-mentioned two field pictures, will be compared with height output according to the computational methods of traditional two point correction parameter
One frame is responded as high-temperature response, a frame of relatively low output as low temperature, and calculating two point correction using this two field pictures data joins
Numerical value, and it is deposited into memory;
Step 4) carries out the original output data of current Uncooled infrared camera according to two point correction parameter value obtained above
Two point correction, image and output after then being corrected.
2. real-time 2 asymmetric correction methods according to claim 1 for Uncooled infrared camera, special
Sign is:Above-mentioned steps 2) in, two frame homogeneous background image datas of acquisition are the original output of detector, since pixel exists
Heterogeneity, there is also heterogeneities for image data of the detector under homogeneous background.
3. real-time 2 asymmetric correction methods according to claim 1 for Uncooled infrared camera, special
Sign is:Above-mentioned steps 3) in, traditional two point correction computational methods are:Black matrix target surface is respectively adjusted to two temperature values,
Then acquisition infrared imaging system exports response to the detector that two temperature black matrix target surfaces obtain, and utilizes collected two frame number
According to being calculated 2 Nonuniformity Correction parameters, calculation formula is
In formula, K, B are 2 Nonuniformity Correction parameters of single pixel, and wherein K is gain calibration parameter, and B is bias correction
Parameter,For high temperature frame response average value,For the average value of low temperature frame response, AH is the high temperature of single pixel, and AL is
The low temperature response of single pixel.
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CN109870239A (en) * | 2019-03-12 | 2019-06-11 | 北京环境特性研究所 | The adaptive calibrating method of non-refrigerated infrared focal plane probe |
CN110567584A (en) * | 2019-07-22 | 2019-12-13 | 河南中光学集团有限公司 | Method for detecting, extracting and correcting blind pixels of real-time infrared detector |
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101470026A (en) * | 2007-12-24 | 2009-07-01 | 南京理工大学 | Ununiformity emendation real-time calibration apparatus for staring type thermal imaging system |
CN101776486A (en) * | 2009-12-31 | 2010-07-14 | 华中科技大学 | Method for correcting non-uniformity fingerprint pattern on basis of infrared focal plane |
CN102768072A (en) * | 2012-08-13 | 2012-11-07 | 电子科技大学 | Thermal infrared imager and correcting device and method thereof |
CN103528690A (en) * | 2013-09-24 | 2014-01-22 | 电子科技大学 | Nonuniform correction method for thermal infrared imager |
CN104344896A (en) * | 2014-10-24 | 2015-02-11 | 中国航空工业集团公司洛阳电光设备研究所 | Non-uniformity correction mechanism for infrared optical system |
CN105466566A (en) * | 2015-12-05 | 2016-04-06 | 中国航空工业集团公司洛阳电光设备研究所 | An infrared nonuniformity correction real time compensation method |
-
2016
- 2016-12-23 CN CN201611202977.7A patent/CN108240863A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101470026A (en) * | 2007-12-24 | 2009-07-01 | 南京理工大学 | Ununiformity emendation real-time calibration apparatus for staring type thermal imaging system |
CN101776486A (en) * | 2009-12-31 | 2010-07-14 | 华中科技大学 | Method for correcting non-uniformity fingerprint pattern on basis of infrared focal plane |
CN102768072A (en) * | 2012-08-13 | 2012-11-07 | 电子科技大学 | Thermal infrared imager and correcting device and method thereof |
CN103528690A (en) * | 2013-09-24 | 2014-01-22 | 电子科技大学 | Nonuniform correction method for thermal infrared imager |
CN104344896A (en) * | 2014-10-24 | 2015-02-11 | 中国航空工业集团公司洛阳电光设备研究所 | Non-uniformity correction mechanism for infrared optical system |
CN105466566A (en) * | 2015-12-05 | 2016-04-06 | 中国航空工业集团公司洛阳电光设备研究所 | An infrared nonuniformity correction real time compensation method |
Cited By (14)
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---|---|---|---|---|
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CN112752041A (en) * | 2019-10-31 | 2021-05-04 | 合肥美亚光电技术股份有限公司 | CMOS image sensor correction method, system and image processing equipment |
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