CN110186566A - Two-dimentional true temperature field imaging method and system based on the multispectral thermometric of light-field camera - Google Patents
Two-dimentional true temperature field imaging method and system based on the multispectral thermometric of light-field camera Download PDFInfo
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2803—Investigating the spectrum using photoelectric array detector
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2823—Imaging spectrometer
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2803—Investigating the spectrum using photoelectric array detector
- G01J2003/282—Modified CCD or like
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
Abstract
The present invention provides the two-dimentional true temperature field imaging method and systems based on the multispectral thermometric of light-field camera in a kind of technical field of temperature measurement, it include: step S1, light-field camera Multi spectral thermometry system is demarcated, the corresponding relationship between camera output signal strength and normal temperature is obtained；Step S2, high-temperature component is imaged, and acquires the macro pixel multispectral image of light-field camera；Step S3 decouples the macro pixel multispectral image of light-field camera；Step S4 resolves the corresponding true temperature of macro pixel multispectral image one by one, obtains initial two-dimentional true temperature field picture, is labeled as initial pictures t；Step S5 is filtered image t using Steerable filter method, the two-dimentional true temperature field picture optimized, labeled as optimization image t0.The present invention improves two-dimensional temperature field calculation accuracy, and multispectral thermometry technology has been pushed to develop.
Description
Technical field
The invention belongs to technical field of temperature measurement, in particular to a kind of two dimension based on the multispectral thermometric of light-field camera is true
Temperature field imaging method and system.
Background technique
Currently, the thermometric mode of high-temperature component can be divided into contact temperature-measuring and contactless temperature-measuring.Wherein, contactless survey
Temperature have on testee without influence, dynamic response is good, output signal is larger, measurement accuracy is higher, wider range etc. of measurement
Advantage and be concerned, contactless temperature-measuring mainly based on radiative thermometric method, including radiance thermometry, two-color thermometry with
And multispectral thermometry method etc..
Wherein, Multi spectral thermometry method passes through the radiance for measuring multiple wavelength (several to dozens of are differed), according to
Emissivity solving target is very warm, in radiation temperature measurement field using relatively broad.The generally point measurement of the multispectral pyrometer of tradition or
Person's measured zone is smaller, it is difficult to can obtain measured object entire surface two-dimensional temperature field, not can avoid measured object local error.Flying
When row device, turbine blade and other high-temperature component surface temperature measurements, to obtain high-temperature component surface two-dimensional temperature field, keep away
Exempt from local error, is more clear accurately assessment high-temperature component overall work state, researcher and proposes based on area array CCD
The optical system of (Charge-coupled Device) thermometric and its applicable algorithm.
In recent years, with the rapid development of computer vision field software and hardware, both at home and abroad about area array CCD radiation temperature measurement side
The research of method is achieved compared with much progress.But current one piece of color sensitive chip can only at most acquire the more of three wave bands (RGB)
Spectrum, if realizing, more multi-optical spectrum image collecting needs by the way of camera array or multichannel light splitting, optical system for collecting
It still can be extremely complex, it is difficult to which practical, constructing multi-optical spectrum imaging system appropriate is still the major issue for perplexing the field.
To solve the above problems, researcher acquires multispectral image using light-field camera multi-optical spectrum imaging system, it is used to
Two-dimentional true temperature field is resolved, but the final two-dimentional true temperature field precision obtained at present is lower.
It is retrieved through the prior art, Chinese invention patent number is CN201710021578.9, and entitled one kind is multispectral
Optical field imaging method, the hardware of use include: to be sequentially arranged wideband filtered chip arrays, isomery camera array, control along optical path direction
Making sheet array and information consolidation processing unit.Imaging method are as follows: in each camera lens and sensor of isomery camera array
Between place the wideband filtered piece of different wave length so that each camera in camera array receives the spectral information of fixed band；It is logical
It crosses information consolidation processing unit and the Stereo matching based on convolutional neural networks is carried out to obtain to the multiline message that camera array obtains
The angle information for taking incident ray obtains the field information within the scope of full filed；Phase is carried out according to the distributing position between camera
Machine calibration and visual field alignment are demultiplexed in acquisition camera array by spectrum and are three times in the more of camera number under any camera perspective
Band spectrum information.The invention is lower to the calculation accuracy of two-dimensional temperature field.
Summary of the invention
For the defects in the prior art, the object of the present invention is to provide a kind of two dimensions based on the multispectral thermometric of light-field camera
True temperature field imaging method and system.Consider light-field camera imaging characteristics, proposes the true temperature based on method of Lagrange multipliers
Calculation method is spent, while two-dimensional temperature field is optimized using Steerable filter, the key problem of light-field camera Multi spectral thermometry is solved, pushes away
Dynamic multispectral thermometry technology development.
A kind of two-dimentional true temperature field imaging method based on the multispectral thermometric of light-field camera provided according to the present invention, including
Following steps:
S1 demarcates light-field camera Multi spectral thermometry system, obtains pair between camera output signal strength and normal temperature
It should be related to；
High-temperature component is imaged S2, acquires the macro pixel multispectral image of light-field camera；
S3 decouples the macro pixel multispectral image of light-field camera；
S4 resolves the corresponding true temperature of macro pixel multispectral image one by one, obtains initial two-dimentional true temperature field figure
Picture is labeled as initial pictures t；
S5 is filtered image t using Steerable filter method, the two-dimentional true temperature field picture optimized, mark
It is denoted as optimization image t0。
In some embodiments, in the step S4, macro pixel multispectral image is resolved one by one using method of Lagrange multipliers
Corresponding true temperature.
In some embodiments, include: by the step of Steerable filter method optimization initialisation image t in the step S5
Step A: guiding image I is generated by high-temperature component image v；
Step B: guiding image I is solved；
Step C: it is guiding image with I, temperature pattern t is filtered, optimized temperature field image t is obtained0。
In some embodiments, in the step A, high-temperature component image v is to utilize light-field camera multi-view image decoupling side
Method extracts the pixel of identical relative position from macro pixel image, obtains central wavelength lambdaCLower high-temperature component image v.
In some embodiments, in the step B, parameter corresponding to target is solved using ridge regression.
In some embodiments, optimized temperature field image t is obtained by following formula in step C0:
Wherein, Wij(I) weight in the weighted mean operation determined by guiding image I, t are indicatedjIt is j-th in image t
Grey scale pixel value.
A kind of two-dimentional true temperature field imaging system based on the multispectral thermometric of light-field camera, using multispectral based on light-field camera
The two-dimentional true temperature field imaging method of thermometric, including initial pictures generation module and optimization initial pictures module；
The initial pictures generation module includes demarcating module, acquisition module, decoupling module and true temperature measurement module,
After the demarcating module will be corresponding between camera output signal strength and normal temperature, the acquisition module passes through the high temperature of imaging
Component acquires the macro pixel multispectral image of light-field camera, and the decoupling module carries out at decoupling the macro pixel multispectral image
Multispectral two-dimensional image data is converted single dimension multispectral data by reason, and the true temperature measurement module is by by one-dimensional
After degree multispectral data is converted into true temperature corresponding to macro pixel multispectral image, original two-dimensional true temperature field figure is obtained
As t；
The optimization initial pictures module by the way of Steerable filter to original two-dimensional true temperature field picture at
Reason, obtains the two-dimentional true temperature field picture t of optimization0。
In some embodiments, the true temperature measurement module passes through method of Lagrange multipliers for single dimension multispectral data
It is converted into true temperature corresponding to macro pixel multispectral image.
In some embodiments, it is described optimization initial pictures module using Steerable filter by the way of in, first by high-temperature portion
Part image v generates guiding image I, secondly solves the guiding image I, is finally filtered with being oriented to image I to temperature pattern t
Wave, the temperature field image t optimized0。
In some embodiments, the guiding image I is using light-field camera multi-view image decoupling method, from macro pixel map
The pixel that identical relative position is extracted as in, obtains central wavelength lambdaCLower high-temperature component image v, and guiding figure is generated by image v
As I.
Compared with prior art, the present invention have it is following the utility model has the advantages that
The present invention considers light-field camera imaging characteristics, proposes the true temperature calculation method based on method of Lagrange multipliers,
Two-dimensional temperature field is optimized using Steerable filter simultaneously, two-dimensional temperature field calculation accuracy is improved, has pushed multispectral thermometry
Technology development.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon:
Basic flow chart Fig. 1 of the invention；
Light-field camera Multi spectral thermometry System Working Principle schematic diagram Fig. 2 of the invention；
Light-field camera multispectral image schematic diagram in Fig. 3 present invention.
Light field multispectral image Uncoupled procedure schematic diagram in Fig. 4 present invention.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention
Protection scope.
Embodiment 1:
The basic operation process of the invention patent is as shown in Fig. 1, multi-optical spectrum imaging system basic boom such as Fig. 2 of use
It is shown.
Light-field camera Multi spectral thermometry system is demarcated using blackbody furnace or tengsten lamp, obtains camera output signal
Corresponding relationship between intensity and normal temperature；Secondly, high-temperature component is imaged, light-field camera multispectral image is acquired, it is original
Image schematic diagram is as shown in Fig. 3.Then, according to light-field camera multi-view image decoupling method, it is multispectral to decouple light-field camera
Multispectral two-dimensional image data is converted single dimension multispectral data by image, and Uncoupled procedure is as shown in Fig. 4.
After completing light-field camera multispectral image and resolving, Theory of Multi-Spectral Radiation Thermometry is relied on, using Lagrange
Multiplier method resolves true temperature, specifically:
Firstly, construction objective function.According to Theory of Multi-Spectral Radiation Thermometry, when there is n wave band, i-th channel it is defeated
Signal strength V outiIt can be denoted as:
Wherein,For calibration factor, numerical values recited is that sensor sensitivity coefficient, absorption coefficient and the first radiation are permanent
The product of permanent number；ε(λi, T) be target true temperature T spectral emissivity；E indicates natural constant, C2It is normal for the second radiation
Number；λiFor the effective wavelength in i-th of channel；T is the true temperature of target.
According to nominal data, when reference temperature is T ', by (1) Shi Ke get, the output signal strength V in i-th of channeli′
For (under normal circumstancesThen):
(1) (2) formula is divided by and takes logarithm and arranges:
As ε (λi, T) known to when, the brightness temperature T of single spectrum channeliIt should be equal to true temperature T, it may be assumed that
Wherein E indicates expectation；
Thus objective function can be constructed:
It enablesxi=ln ε (λi, T), then it can be found out by formula (3),Then
Secondly, structure constraint condition.Due to 0 < ε (λ of emissivityi, T) and < 1, therefore xi< 0 is to get inequality constraints item
Part.
Finally, constructing Lagrangian and solving.Construct Lagrangian:
X=[x in formula1, x2…xn]TFor independent variable, γ=[γ1, γ2…γn]TFor Lagrange multiplier amount, σ=[σ1,
σ2…σn]TFor slack variable.
Then L (x, γ, σ) is in x0Place takes the necessary condition of extreme value are as follows:
Wherein L is L (x, γ, σ), acquires x according to above formula0As optimal solution, and then true temperature can be calculated.Using same
True temperature corresponding to each macro pixel multispectral image can be successively calculated in the mode of sample, obtain two-dimentional true temperature
Spend field picture t.
Then, sampling characteristics are imaged according to light-field camera, processing is optimized to two-dimensional temperature field using Steerable filter, had
Body process are as follows:
Firstly, extracting identical relative position from macro pixel image using light-field camera multi-view image decoupling method
Pixel obtains central wavelength lambdaCLower high-temperature component image v, and guiding image I is generated by image v.
Secondly, solving guiding image I.Since guiding image I and high-temperature component image v is part in a two-dimentional window
Linear model, it is assumed that akAnd bkIt is the coefficient of the linear function when window center is located at k, then vi=akIi+bk, wherein viIt is figure
As ith pixel gray value in v, IiIt is ith pixel gray value in image I.Ginseng corresponding to target is solved using ridge regression
Number akAnd bk:
Wherein, ωkFor the pixel window centered on pixel k, ∈ is regularization term coefficient.
Finally, being guiding image with I, temperature pattern t is filtered, optimized temperature field image t is obtained0:
Wherein, Wij(I) weight in the weighted mean operation determined by navigational figure I, t are indicatedjIt is j-th in image t
Grey scale pixel value.The two-dimensional temperature field after Steerable filter can be obtained in this way, the two-dimentional true temperature field after finally obtaining optimization
Image.
Embodiment 2
As shown in Figs 1-4, the present invention also provides it is a kind of based on the two-dimentional true temperature field of the multispectral thermometric of light-field camera at
As system, using described in embodiment 1 based on the two-dimentional true temperature field imaging method of the multispectral thermometric of light-field camera, including it is first
Beginning image generation module and optimization initial pictures module；
The initial pictures generation module includes demarcating module, acquisition module, decoupling module and true temperature measurement module,
After the demarcating module will be corresponding between camera output signal strength and normal temperature, the acquisition module passes through the high temperature of imaging
Component acquires the macro pixel multispectral image of light-field camera, and the decoupling module carries out at decoupling the macro pixel multispectral image
Multispectral two-dimensional image data is converted single dimension multispectral data by reason, and the true temperature measurement module is by by one-dimensional
After degree multispectral data is converted into true temperature corresponding to macro pixel multispectral image, original two-dimensional true temperature field figure is obtained
As t；
The optimization initial pictures module by the way of Steerable filter to original two-dimensional true temperature field picture at
Reason, obtains the two-dimentional true temperature field picture t of optimization0。
True temperature measurement module converts macro pixel mostly light for single dimension multispectral data by method of Lagrange multipliers
Conversion process in true temperature corresponding to spectrogram picture, specific steps and embodiment 1 is just as details are not described herein.
It is described optimization initial pictures module use Steerable filter by the way of in, first by high-temperature component image v generate lead
To image I, the guiding image I is secondly solved, is finally filtered with being oriented to image I to temperature pattern t, the temperature optimized
Spend field picture t0。
Corresponding solution procedure and embodiment 1 in the present embodiment 2 is consistent, and details are not described herein.
One skilled in the art will appreciate that in addition to realizing system provided by the invention in a manner of pure computer readable program code
It, completely can be by the way that method and step be carried out programming in logic come so that provided by the invention other than system, device and its modules
System, device and its modules are declined with logic gate, switch, specific integrated circuit, programmable logic controller (PLC) and insertion
The form of controller etc. realizes identical program.So system provided by the invention, device and its modules may be considered that
It is a kind of hardware component, and the knot that the module for realizing various programs for including in it can also be considered as in hardware component
Structure；It can also will be considered as realizing the module of various functions either the software program of implementation method can be Hardware Subdivision again
Structure in part.
Claims (10)
1. a kind of two-dimentional true temperature field imaging method based on the multispectral thermometric of light-field camera, which is characterized in that including walking as follows
It is rapid:
S1 demarcates light-field camera Multi spectral thermometry system, obtains the corresponding pass between camera output signal strength and normal temperature
System；
High-temperature component is imaged S2, acquires the macro pixel multispectral image of light-field camera；
S3 decouples the macro pixel multispectral image of light-field camera；
S4 resolves the corresponding true temperature of macro pixel multispectral image one by one, obtains initial two-dimentional true temperature field picture, mark
It is denoted as initial pictures t；
S5 is filtered image t using Steerable filter method, and the two-dimentional true temperature field picture optimized is labeled as
Optimize image t0。
2. the two-dimentional true temperature field imaging method according to claim 1 based on the multispectral thermometric of light-field camera, feature
It is, in the step S4, resolves the corresponding true temperature of macro pixel multispectral image one by one using method of Lagrange multipliers.
3. the two-dimentional true temperature field imaging method according to claim 1 based on the multispectral thermometric of light-field camera, feature
It is, includes: by the step of Steerable filter method optimization initialisation image t in the step S5
Step A: guiding image I is generated by high-temperature component image v；
Step B: guiding image I is solved；
Step C: it is guiding image with I, temperature pattern t is filtered, optimized temperature field image t is obtained0。
4. the two-dimentional true temperature field imaging method according to claim 3 based on the multispectral thermometric of light-field camera, feature
It is, in the step A, high-temperature component image v is using light-field camera multi-view image decoupling method, from macro pixel image
The pixel for extracting identical relative position, obtains central wavelength lambdaCLower high-temperature component image v.
5. the two-dimentional true temperature field imaging method according to claim 3 based on the multispectral thermometric of light-field camera, feature
It is, in the step B, parameter corresponding to target is solved using ridge regression.
6. the two-dimentional true temperature field imaging method according to claim 3 based on the multispectral thermometric of light-field camera, feature
It is, optimized temperature field image t is obtained by following formula in step C0:
Wherein, Wij(I) weight in the weighted mean operation determined by guiding image I, t are indicatedjIt is j-th of pixel in image t
Gray value.
7. a kind of two-dimentional true temperature field imaging system based on the multispectral thermometric of light-field camera, which is characterized in that wanted using right
Any two-dimentional true temperature field imaging method based on the multispectral thermometric of light-field camera of 1-6, including initial pictures is asked to generate
Module and optimization initial pictures module；
The initial pictures generation module includes demarcating module, acquisition module, decoupling module and true temperature measurement module, described
After demarcating module will be corresponding between camera output signal strength and normal temperature, the acquisition module passes through the high-temperature component of imaging
The macro pixel multispectral image of light-field camera is acquired, the decoupling module carries out decoupling processing to the macro pixel multispectral image,
Single dimension multispectral data is converted by multispectral two-dimensional image data, the true temperature measurement module passes through single dimension is more
After spectroscopic data is converted into true temperature corresponding to macro pixel multispectral image, original two-dimensional true temperature field picture t is obtained；
The optimization initial pictures module is handled original two-dimensional true temperature field picture by the way of Steerable filter, is obtained
The two-dimentional true temperature field picture t that must optimize0。
8. the two-dimentional true temperature field imaging system according to claim 7 based on the multispectral thermometric of light-field camera, feature
It is, the true temperature measurement module converts macro pixel mostly light for single dimension multispectral data by method of Lagrange multipliers
True temperature corresponding to spectrogram picture.
9. the two-dimentional true temperature field imaging system according to claim 7 based on the multispectral thermometric of light-field camera, feature
Be, it is described optimization initial pictures module use Steerable filter by the way of in, first by high-temperature component image v generate guiding scheme
As I, the guiding image I is secondly solved, is finally filtered with being oriented to image I to temperature pattern t, the temperature field optimized
Image t0。
10. the two-dimentional true temperature field imaging system according to claim 9 based on the multispectral thermometric of light-field camera, feature
It is, the guiding image I is extracted from macro pixel image identical opposite using light-field camera multi-view image decoupling method
The pixel of position, obtains central wavelength lambdaCLower high-temperature component image v, and guiding image I is generated by image v.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111462254A (en) * | 2020-04-30 | 2020-07-28 | 南京智谱科技有限公司 | Multispectral monitoring method and system |
| CN113033891A (en) * | 2021-03-19 | 2021-06-25 | 河北水熠木丰工程技术有限责任公司 | High pier bridge health monitoring method and device |
| CN113048907A (en) * | 2021-02-08 | 2021-06-29 | 浙江大学 | Single-pixel multispectral imaging method and device based on macro-pixel segmentation |
| CN113237559A (en) * | 2021-04-25 | 2021-08-10 | 哈尔滨工业大学 | Multispectral radiation temperature measuring device and using method |
| CN114543998A (en) * | 2022-02-17 | 2022-05-27 | 中北大学 | Temperature field space-time distribution measuring device based on staring type snapshot type spectral imaging |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009079663A1 (en) * | 2007-12-19 | 2009-06-25 | Spectral Instruments, Inc. | Color infrared light sensor, camera, and method for capturing images |
| CN107798670A (en) * | 2017-09-20 | 2018-03-13 | 中国科学院长春光学精密机械与物理研究所 | A kind of dark primary prior image defogging method using image wave filter |
| CN109115348A (en) * | 2018-07-24 | 2019-01-01 | 哈尔滨工业大学 | A kind of three dimensional temperature reconstruction integrated processes based on flame light field refocusing image |
| CN109813450A (en) * | 2019-03-27 | 2019-05-28 | 中国航空工业集团公司北京长城计量测试技术研究所 | A kind of transient state imaging type infrared multispectral temperature field measuring apparatus |
-
2019
- 2019-05-30 CN CN201910464299.9A patent/CN110186566B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009079663A1 (en) * | 2007-12-19 | 2009-06-25 | Spectral Instruments, Inc. | Color infrared light sensor, camera, and method for capturing images |
| CN107798670A (en) * | 2017-09-20 | 2018-03-13 | 中国科学院长春光学精密机械与物理研究所 | A kind of dark primary prior image defogging method using image wave filter |
| CN109115348A (en) * | 2018-07-24 | 2019-01-01 | 哈尔滨工业大学 | A kind of three dimensional temperature reconstruction integrated processes based on flame light field refocusing image |
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