CN109685868A - A kind of IR image enhancement method and apparatus - Google Patents
A kind of IR image enhancement method and apparatus Download PDFInfo
- Publication number
- CN109685868A CN109685868A CN201910007102.9A CN201910007102A CN109685868A CN 109685868 A CN109685868 A CN 109685868A CN 201910007102 A CN201910007102 A CN 201910007102A CN 109685868 A CN109685868 A CN 109685868A
- Authority
- CN
- China
- Prior art keywords
- sky
- skies
- infra
- value
- pixel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000005855 radiation Effects 0.000 claims abstract description 163
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 18
- 238000004590 computer program Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 7
- 238000001514 detection method Methods 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 4
- 238000000605 extraction Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
Abstract
The invention discloses a kind of IR image enhancement method and apparatus, are related to atmospheric optics technical field.Wherein, IR image enhancement method of the invention includes: and obtains to have the infra-red radiation of skies sky and cloudless air to observe statistical data；The 2-D gray image for having skies sky is generated based on fractal algorithm；Assignment is carried out to the pixel in the 2-D gray image for having skies sky according to the infra-red radiation observation statistical data for having skies sky and cloudless air, to generate the infrared radiation images for having skies sky.By above step, it can effectively solve the problem that the existing existing shortage moire reason of infrared radiation images for having skies sky according to theoretical generation, differ larger problem with true radiation event.
Description
Technical field
The present invention relates to atmospheric optics technical field more particularly to IR image enhancement method and apparatus.
Background technique
Cloud is the important component of sky background, its appearance has irregular and random.In infrared remote sensing, cloud
Radiation is main scattering radiation interference source in sky background, the imaging detection of infrared camera is affected, to the processing band of image
Carry out many difficulties.
The method for having the infrared radiation images of skies sky that generates existing now is mostly based on theoretical calculation.According to theoretical
When calculating generation has the infrared radiation images of skies sky, a part of calculated result is one point data, and cannot apply is ambient field.Separately
Outside, when having skies sky infrared radiation images according to theoretical calculation generation, due to being limited by input parameter, calculated result more collects
In, cause the infrared radiation images for having skies sky generated to lack the texture of cloud, and then have centainly with the true radiation characteristic of cloud
Difference.
Therefore, against the above deficiency, it is desirable to provide a kind of IR image enhancement method and apparatus.
Summary of the invention
(1) technical problems to be solved
The technical problem to be solved by the present invention is existing have the infrared radiation images of skies sky to lack cloud according to theoretical generation
Texture, differ larger problem with true radiation event.
(2) technical solution
In order to solve the above-mentioned technical problem, in a first aspect, the present invention provides a kind of IR image enhancement methods.
IR image enhancement method of the invention includes: to obtain to have the infra-red radiation of skies sky and cloudless air observation statistics
Data；The 2-D gray image for having skies sky is generated based on fractal algorithm；According to the infra-red radiation for having skies sky and cloudless air
It observes statistical data and assignment is carried out to the pixel in the 2-D gray image for having skies sky, have the red of skies sky to generate
External radiation image.
Optionally, the basis has the infra-red radiation of skies sky and cloudless air observation statistical data to have the skies empty to described
2-D gray image in pixel carry out assignment, with generate have the infrared radiation images of the skies sky the step of comprise determining that
Pixel classification in the 2-D gray image for having skies sky；The pixel classification includes: cloud background dot and sky back
Sight spot；Assignment is carried out to the cloud background dot according to the infra-red radiation observation statistical data for having skies sky, to obtain the red of the point
External radiation brightness value；Statistical data is observed according to the infra-red radiation of cloudless air, and assignment is carried out to the sky background point, with
To this infra-red radiation brightness value；Using the image after assignment as the infrared radiation images for having skies sky.
Optionally, the step of having the pixel classification in the 2-D gray image of skies sky described in the determination includes: system
Count the maximum value and minimum value of pixel in the 2-D gray image；According to the maximum value of the pixel, minimum value and pre-
If Cloud amount calculate threshold value；Value in the 2-D gray image is greater than or equal to the pixel of the threshold value
Point is used as cloud background dot, and value in the 2-D gray image is less than the pixel of the threshold value as sky background
Point.
Optionally, thresholding threshold is calculated according to the maximum value of the pixel, minimum value and preset Cloud amount described
In the step of value, using following formula:
Wherein, SthFor threshold value, SminTo have the maximum value of pixel in the 2-D gray image of skies sky, SminTo have
The minimum value of pixel in the 2-D gray image of skies sky.
Optionally, the infra-red radiation observation statistical data for having skies sky includes: having red in the observation data of skies sky
The maximum value and minimum value of external radiation brightness；The infra-red radiation observation statistical data of the cloudless air includes: cloudless air
The maximum value and minimum value of Satellite Observations intermediate infrared radiation brightness.
Optionally, the infra-red radiation observation statistical data of skies sky assigns the cloud background dot in the basis
Value, the step of to obtain the infra-red radiation brightness value of the point in, using following formula:
Wherein, R_cloud (x, y) is the infra-red radiation brightness value of cloud background dot, R_cloudminTo there is the observation of skies sky
The minimum value of data intermediate infrared radiation brightness, R_cloudmaxTo there is the maximum of the observation data intermediate infrared radiation brightness of skies sky
Value, SmaxTo have the maximum value of pixel in the 2-D gray image of skies sky, SminTo have in the 2-D gray image of skies sky
The minimum value of pixel, SthTo determine threshold value used in pixel classification in 2-D gray image.
Optionally, the sky background point is assigned according to the infra-red radiation of cloudless air observation statistical data described
Value, the step of to obtain the infra-red radiation brightness value of the point in, using following formula:
Wherein, R_sky (x, y) is the infra-red radiation brightness value of sky background point, R_skyminFor the observation number of cloudless air
According to the minimum value of intermediate infrared radiation brightness, R_skymaxFor the maximum value of the observation data intermediate infrared radiation brightness of cloudless air,
SmaxTo have the maximum value of pixel in the 2-D gray image of skies sky, SminTo there is pixel in the 2-D gray image of skies sky
The minimum value of point, SthTo determine threshold value used in pixel classification in 2-D gray image.
In order to solve the above-mentioned technical problem, second aspect, the present invention provides a kind of IR image enhancement devices.
IR image enhancement device of the invention includes: acquisition module, has the red of skies sky and cloudless air for obtaining
Statistical data: the first generation module is observed in external radiation, for generating the 2-D gray image for having skies sky based on fractal algorithm；The
Two generation modules have the infra-red radiation of skies sky and cloudless air observation statistical data to have the two of skies sky to described for basis
The pixel tieed up in gray level image carries out assignment, to generate the infrared radiation images for having skies sky.
In order to solve the above-mentioned technical problem, the third aspect, the present invention provides a kind of electronic equipment.
Electronic equipment of the invention includes: one or more processors；And storage device, for storing one or more
A program；When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes IR image enhancement method of the invention.
To solve the above-mentioned problems, fourth aspect, the present invention also provides a kind of computer-readable mediums.
Computer-readable medium of the invention is stored thereon with computer program, real when described program is executed by processor
Existing IR image enhancement method of the invention.
(3) beneficial effect
Above-mentioned technical proposal of the invention has the advantages that in embodiments of the present invention, by have the skies empty and nothing
The infrared radiation images for having skies sky are generated based on the infra-red radiation observation statistical data of skies sky, so that is generated there are the skies
Empty infrared radiation images are closer to true radiation event, meanwhile, by generating the two dimension for having skies sky based on fractal algorithm
Gray level image ensure that there are obvious textures in the infrared radiation images being subsequently generated, close with true moire reason.In turn, originally
What inventive embodiments generated has skies sky infrared radiation images to provide for the emulation of subsequent infrared camera, parameter designing and evaluation
Powerful support.
Detailed description of the invention
Fig. 1 is the flow diagram of the IR image enhancement method of the embodiment of the present invention one；
Fig. 2 is the flow diagram of the IR image enhancement method of the embodiment of the present invention two；
Fig. 3 is to generate the process for having the 2-D gray image data of skies sky in the embodiment of the present invention two based on fractal algorithm
Schematic diagram；
Fig. 4 is the grid schematic diagram of the two-dimensional array in the embodiment of the present invention two；
Fig. 5 is the composition schematic diagram of the IR image enhancement device of the embodiment of the present invention three.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Embodiment one
As shown in Figure 1, IR image enhancement method provided in an embodiment of the present invention includes:
Step S101, obtaining has the skies empty and the infra-red radiation observation statistical data of cloudless air.
Wherein, the infra-red radiation observation statistical data for having skies sky can include: have red in the observation data of skies sky
Maximum value, minimum value and the average value of external radiation brightness；The infra-red radiation observation statistical data of the cloudless air includes: nothing
Maximum value, minimum value and the average value of the Satellite Observations intermediate infrared radiation brightness of skies sky.
Step S102, the 2-D gray image for having skies sky is generated based on fractal algorithm.
Wherein, the 2-D gray image is represented by two-dimensional array S (x, y), each pixel in 2-D gray image
Point can be indicated with a lattice point of the two-dimensional array.
Step S103, according to having the skies empty and the infra-red radiation of cloudless air observation statistical data is to described has the skies empty
Pixel in 2-D gray image carries out assignment, to generate the infrared radiation images for having skies sky.
Illustratively, which specifically includes: having the pixel classification in the 2-D gray image of skies sky described in determining；
The pixel classification includes: cloud background dot and sky background point；Statistical data pair is observed according to the infra-red radiation for having skies sky
The cloud background dot carries out assignment, to obtain the infra-red radiation brightness value of the point；It is observed and being united according to the infra-red radiation of cloudless air
It counts and assignment is carried out to the sky background point, with the infra-red radiation brightness value for obtaining this；Using the image after assignment as having
The infrared radiation images of skies sky.
In embodiments of the present invention, by based on thering is the infra-red radiation of skies sky and cloudless air to observe statistical data
The infrared radiation images for having skies sky are generated, so that is generated there are skies sky infrared radiation images more to connect with true radiation event
Closely, meanwhile, by generating the 2-D gray image for having skies sky based on fractal algorithm, it ensure that the infra-red radiation figure being subsequently generated
There are obvious textures as in, close with true moire reason.In turn, what the embodiment of the present invention generated has skies sky infrared radiation images
Powerful support can be provided for the emulation of subsequent infrared camera, parameter designing and evaluation.
Embodiment two
As shown in Fig. 2, IR image enhancement method provided in an embodiment of the present invention includes:
Step S201, obtaining has the skies empty and the infra-red radiation observation statistical data of cloudless air.
Wherein, the infra-red radiation observation statistical data for having skies sky can include: have red in the observation data of skies sky
Maximum value, minimum value and the average value of external radiation brightness；The infra-red radiation observation statistical data of the cloudless air includes: nothing
Maximum value, minimum value and the average value of the Satellite Observations intermediate infrared radiation brightness of skies sky.
Illustratively, the acquisition has the step of infra-red radiation of skies sky and cloudless air observes statistical data can be specific
Include:
Step A, weather satellite data is obtained.Wherein, the weather satellite data includes the radiation in satellite level one data
Cloud product data in data and satellite secondary data.
Step B, designated time period and specified regional scope are extracted from the cloud product data in the satellite secondary data
Interior cloud product data, and (be labelled in cloud detection product data each according to the cloud detection product data in cloud product data
Whether position has cloud) it is judgment basis, judge whether the cloud product data extracted have cloud.
Step C, when the cloud product data of extraction are cloudless, the infra-red radiation of cloudless air is screened from satellite level one data
Then data count the ir radiation data of cloudless air, observe statistical number to obtain the infra-red radiation of cloudless air
According to.Wherein, the ir radiation data of the cloudless air may include that different condition (such as bow by time, channel, observation angle, the sun
The elevation angle) under radiation data, and then cloudless air infra-red radiation under different condition can be obtained by statistics and observe statistical data.
Step D, when the cloud product data of extraction have cloud, screening has the infra-red radiation of skies sky from satellite level one data
Then data count the ir radiation data for having skies sky, observe statistical number to obtain the infra-red radiation of skies sky
According to.Wherein, the ir radiation data for having skies sky may include that different condition (such as bow by time, channel, observation angle, the sun
The elevation angle) under radiation data, and then by statistics can be obtained under different condition have skies sky infra-red radiation observe statistical data.
Step S202, the 2-D gray image for having skies sky is generated based on fractal algorithm.
Wherein, the 2-D gray image is represented by two-dimensional array S (x, y), each pixel in 2-D gray image
Point can be indicated with a lattice point of the two-dimensional array.
Step S203, the maximum value and minimum value of pixel in the 2-D gray image are counted；According to the pixel
Maximum value, minimum value and preset Cloud amount calculate threshold value.
Illustratively, threshold value can be calculated based on following formula:
Wherein, SthFor threshold value, SminTo have the maximum value of pixel in the 2-D gray image of skies sky, SminTo have
The minimum value of pixel in the 2-D gray image of skies sky.
Step S204, value in the 2-D gray image is greater than or equal to the pixel of the threshold value as cloud
Value in the 2-D gray image is less than the pixel of the threshold value as sky background point by background dot.
In embodiments of the present invention, by step S203 and S204, the point in 2-D gray image can be divided into two classes,
That is cloud background dot and sky background point, and then facilitate subsequent for different classes of point progress assignment.
Step S205, assignment is carried out to the cloud background dot according to the infra-red radiation observation statistical data for having skies sky, with
Obtain the infra-red radiation brightness value of the point.
Illustratively, the infra-red radiation brightness value of cloud background dot can be calculated based on following formula:
Wherein, R_cloud (x, y) is the infra-red radiation brightness value of cloud background dot, R_cloudminTo there is the observation of skies sky
The minimum value of data intermediate infrared radiation brightness, R_cloudmaxTo there is the maximum of the observation data intermediate infrared radiation brightness of skies sky
Value, SmaxTo have the maximum value of pixel in the 2-D gray image of skies sky, SminTo have in the 2-D gray image of skies sky
The minimum value of pixel, SthTo determine threshold value used in pixel classification in 2-D gray image.
Step S206, statistical data is observed according to the infra-red radiation of cloudless air and assignment is carried out to the sky background point,
With the infra-red radiation brightness value for obtaining this.
Illustratively, the infra-red radiation brightness value of sky background point can be calculated based on following formula:
Wherein, R_sky (x, y) is the infra-red radiation brightness value of sky background point, R_skyminFor the observation number of cloudless air
According to the minimum value of intermediate infrared radiation brightness, R_skymaxFor the maximum value of the observation data intermediate infrared radiation brightness of cloudless air,
SmaxTo have the maximum value of pixel in the 2-D gray image of skies sky, SminTo there is pixel in the 2-D gray image of skies sky
The minimum value of point, SthTo determine threshold value used in pixel classification in 2-D gray image.
Step S207, using the image after assignment as the infrared radiation images for having skies sky.
In embodiments of the present invention, the infrared radiation images for having skies sky generated by above step radiate feelings with true
Condition is closer to, and exists simultaneously obvious moire reason, close with true moire reason.In turn, what the embodiment of the present invention generated has the skies
Empty infrared radiation images can provide powerful support for the emulation of subsequent infrared camera, parameter designing and evaluation.
It is illustrated below with reference to an optional embodiment of the Fig. 3 to step S202.Fig. 3 is base in the embodiment of the present invention two
The flow diagram for there are the 2-D gray image data of skies sky is generated in fractal algorithm.As shown in figure 3, raw based on fractal algorithm
Process at the 2-D gray image data for having skies sky includes
Step S301, two-dimensional array S (x, y) is initialized, and as the grid of N*N.
Wherein, two-dimensional array S (x, y) is made of N*N lattice point.In turn, it can will regard one as in two-dimensional array S (x, y)
The grid of N*N.In this step, four vertex of the grid of N*N can be assigned to identical initial value (for example being set as 1), by it
The initial value that he orders is set as 0.
Step S302, step value d is set.
Illustratively, it is assumed that the distance of two neighboring lattice point is 1, then the side length of element of N*N is N-1.In this example, may be used
The initial value of step value d is set as N-1.
Step S303, using d as the side length of current sub network lattice, the value of current sub network center of a lattice point is determined.
Illustratively, when step value d is N-1, the side length of current sub network lattice is N-1, i.e. current sub network lattice are specially side
The grid of a length of N-1；When step value is 0.5 (N-1), the side length of current sub network lattice is 0.5 (N-1), i.e. current sub network lattice have
Body is the grid that side length is 0.5 (N-1).
In an optional embodiment, the value of central point can be determined according to the value on four vertex of current sub network lattice.For example,
Can take mean value to the value on four vertex of current sub network lattice, and using the mean value plus the operation result after a random number as
The value of current sub network center of a lattice point.
Step S304, the value at midpoint on the side of current sub network lattice is determined.
In an optional embodiment, the value at midpoint is specifically included on the side of the determining current sub network lattice: if current son
The side of grid is located on the ragged edge for the grid that side length is N-1, then can the two-end-point on the side to current sub network lattice take mean value, and
The mean value is added into the operation result of a random number as midpoint on the side of current sub network lattice；If the side position of current sub network lattice
In the inside for the grid that side length is N-1, then can to current sub network lattice while upper two-end-point and this while belonging to two subnets
Center of a lattice point value, and the mean value is added into the operation result of a random number as the Bian Shangzhong of current sub network lattice
Point.
Step S305, step value d is updated.
It in this step, can be using step value before 12 times of update as updated step value.Then, judge updated
Whether step value is greater than 1.If so, executing step S303 again；Otherwise, step S306 is executed.
Step S306, using finally obtained two-dimensional array as the 2-D gray image data for having skies sky.
In embodiments of the present invention, the 2-D gray image data of skies sky can be generated by above step.Pass through
The 2-D gray image for having skies sky is generated based on fractal algorithm, ensure that in the infrared radiation images being subsequently generated and exists obviously
Texture, it is close with true moire reason.
Fig. 4 is the grid schematic diagram of the two-dimensional array in the embodiment of the present invention two.Below with reference to Fig. 4 to process shown in Fig. 3
It is described further.In Fig. 4, two-dimensional array S (x, y) is made of 5*5 lattice point, and then can be regarded as the grid of 5*5.It is false
If the distance of neighboring lattice points is 1, then two-dimensional array can regard the grid that side length is 4 as again.Specifically, it is determined based on fractal algorithm
The process of the value of all the points specifically includes in two-dimensional array shown in Fig. 4:
Step S401, first identical initial value can be assigned to vertex A, B, C, D in two-dimensional array S (x, y) (for example to set
1), other initial values put to be set as 0.
Step S402, the initial value of step value d is set as 4.
Step S403, using d as the side length of current sub network lattice, the value of current sub network center of a lattice point and current is determined
The value at midpoint on the side of sub-grid.
For example, can determine current sub network lattice according to the value of vertex A, B, C, D when current sub network lattice are the grid that side length is 4
Central point I value, according to the value of midpoint E on when the value of upper extreme point A, B determine, according to when the value of upper extreme point B, C determine
The value of upper midpoint F, according to the value of midpoint G on when the value of upper extreme point C, D determine, on when the value of upper extreme point A, D determine
The value of midpoint H.
Step S404, step value is updated.
Step S405, iteration executes step S403 and step S404, until determining the value of all lattice points in two-dimensional array.
Embodiment three
As shown in figure 5, IR image enhancement device provided in an embodiment of the present invention includes: to obtain module 501, first to generate
Module 502, the second generation module 503.
Module 501 is obtained, has the infra-red radiation of skies sky and cloudless air to observe statistical data for obtaining.
Wherein, the infra-red radiation observation statistical data for having skies sky can include: have red in the observation data of skies sky
Maximum value, minimum value and the average value of external radiation brightness；The infra-red radiation observation statistical data of the cloudless air includes: nothing
Maximum value, minimum value and the average value of the Satellite Observations intermediate infrared radiation brightness of skies sky.
Illustratively, obtaining the acquisition of module 501 has the infra-red radiation of skies sky and cloudless air observation statistical data that can have
Body includes:
1, it obtains module 501 and obtains weather satellite data.Wherein, the weather satellite data includes in satellite level one data
Radiation data and satellite secondary data in cloud product data.
2, it obtains module 501 and extracts designated time period and specified area from the cloud product data in the satellite secondary data
Cloud product data within the scope of domain, and (marked in cloud detection product data according to the cloud detection product data in cloud product data
Whether each position has cloud) it is judgment basis, judge whether the cloud product data extracted have cloud.
3, module 501 is obtained when the cloud product data of extraction are cloudless, and cloudless air is screened from satellite level one data
Then ir radiation data counts the ir radiation data of cloudless air, seen with obtaining the infra-red radiation of cloudless air
Survey statistical data.Wherein, the ir radiation data of the cloudless air may include different condition (such as time, channel, view angle
Degree, sun pitch angle) under radiation data, and then by statistics can be obtained under different condition cloudless air infra-red radiation observation
Statistical data.
4, module 501 is obtained when the cloud product data of extraction have cloud, and screening has skies sky from satellite level one data
Then ir radiation data counts the ir radiation data for having skies sky, seen with obtaining the infra-red radiation of skies sky
Survey statistical data.Wherein, the ir radiation data for having skies sky may include different condition (such as time, channel, view angle
Degree, sun pitch angle) under radiation data, and then by statistics can be obtained under different condition have the skies sky infra-red radiation observation
Statistical data.
First generation module 502, for generating the 2-D gray image for having skies sky based on fractal algorithm.
Wherein, the 2-D gray image is represented by two-dimensional array S (x, y), each pixel in 2-D gray image
Point can be indicated with a lattice point of the two-dimensional array.There are the skies about how the first generation module is specifically generated based on fractal algorithm
Empty 2-D gray image, can refer to process and related description shown in Fig. 3.
Second generation module 503 has the infra-red radiation of skies sky and cloudless air observation statistical data to institute for basis
The pixel stated in the 2-D gray image of skies sky carries out assignment, to generate the infrared radiation images for having skies sky.
Illustratively, the second generation module 503 can first determine described in have pixel in the 2-D gray image of skies sky
Classification；The pixel classification includes: cloud background dot and sky background point；Then the second generation module 503 is according to there is the skies empty
Infra-red radiation observation statistical data to the cloud background dot carry out assignment, to obtain the infra-red radiation brightness value of the point；It connects down
Coming, the second generation module 503 observes statistical data according to the infra-red radiation of cloudless air and carries out assignment to the sky background point,
With the infra-red radiation brightness value for obtaining this；Finally, the second generation module 503 is using the image after assignment as there is empty infrared in the skies
Radiation image.
In an optional embodiment, have in the 2-D gray image of skies sky described in the determination of the second generation module 503
Pixel classification can include: the second generation module 503 counts the maximum value and minimum value of pixel in the 2-D gray image；
Second generation module 503 calculates threshold value according to the maximum value of the pixel, minimum value and preset Cloud amount；Second
Value in the 2-D gray image is greater than or equal to the pixel of the threshold value as cloud background by generation module 503
Point, the second generation module 503 carry on the back the pixel that value in the 2-D gray image is less than the threshold value as sky
Sight spot.
Further, in the above optional embodiment, the second generation module 503 can calculate thresholding threshold based on following formula
Value:
Wherein, SthFor threshold value, SminTo have the maximum value of pixel in the 2-D gray image of skies sky, SminTo have
The minimum value of pixel in the 2-D gray image of skies sky.
In the device of the embodiment of the present invention, there is the sight of the infra-red radiation of skies sky and cloudless air by obtaining module acquisition
Statistical data is surveyed, and through the second generation module based on thering is the infra-red radiation of skies sky and cloudless air to observe statistical data
The infrared radiation images for having skies sky are generated, so that is generated there are skies sky infrared radiation images more to connect with true radiation event
Closely, meanwhile, the 2-D gray image for having skies sky is generated based on fractal algorithm by the first generation module, ensure that and be subsequently generated
Infrared radiation images in there are obvious texture, it is close with true moire reason.In turn, what the embodiment of the present invention generated has the skies empty
Infrared radiation images can provide powerful support for the emulation of subsequent infrared camera, parameter designing and evaluation.
On the other hand, the present invention also provides a kind of electronic equipment, the electronic equipments can include: one or more processing
Device；And storage device, for storing one or more programs；When one or more of programs are one or more of
Processor executes, so that one or more of processors realize the IR image enhancement method of the embodiment of the present invention.
As in another aspect, the computer-readable medium can be the present invention also provides a kind of computer-readable medium
Included in electronic equipment described in above-described embodiment；It is also possible to individualism, and without in the supplying electronic equipment.
Above-mentioned computer-readable medium carries one or more program, when the equipment is held by one for said one or multiple programs
When row, so that the equipment executes following below scheme: acquisition has the infra-red radiation of skies sky and cloudless air to observe statistical data；It is based on
Fractal algorithm generates the 2-D gray image for having skies sky；Statistical number is observed according to the infra-red radiation for having skies sky and cloudless air
Assignment is carried out according to the pixel in the 2-D gray image for having skies sky, to generate the infra-red radiation figure for having skies sky
Picture.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of IR image enhancement method, which is characterized in that the described method includes:
Acquisition has the infra-red radiation of skies sky and cloudless air to observe statistical data；
The 2-D gray image for having skies sky is generated based on fractal algorithm；
According to the infra-red radiation observation statistical data for having skies sky and cloudless air to the 2-D gray image for having skies sky
In pixel carry out assignment, have the infrared radiation images of skies sky to generate.
2. the method according to claim 1, wherein the basis has the infra-red radiation of skies sky and cloudless air
It observes statistical data and assignment is carried out to the pixel in the 2-D gray image for having skies sky, have the red of skies sky to generate
The step of external radiation image includes:
There is the pixel classification in the 2-D gray image of skies sky described in determination；The pixel classification includes: cloud background dot
With sky background point；Assignment is carried out to the cloud background dot according to the infra-red radiation observation statistical data for having skies sky, to obtain
The infra-red radiation brightness value of the point；Statistical data is observed according to the infra-red radiation of cloudless air to assign the sky background point
Value, with the infra-red radiation brightness value for obtaining this；Using the image after assignment as the infrared radiation images for having skies sky.
3. according to the method described in claim 2, it is characterized in that, having in the 2-D gray image of skies sky described in the determination
Pixel classification the step of include:
Count the maximum value and minimum value of pixel in the 2-D gray image；According to the maximum value of the pixel, minimum
Value and preset Cloud amount calculate threshold value；Value in the 2-D gray image is greater than or equal to the threshold value
Pixel as cloud background dot, value in the 2-D gray image is less than the pixel of the threshold value as sky
Background dot.
4. according to the method described in claim 3, it is characterized in that, in the maximum value according to the pixel, minimum value
In the step of calculating threshold value with preset Cloud amount, using following formula:
Wherein, SthFor threshold value, SminTo have the maximum value of pixel in the 2-D gray image of skies sky, SminTo there is the skies
The minimum value of pixel in empty 2-D gray image.
5. according to the method described in claim 2, it is characterized in that, the infra-red radiation observation statistical data packet for having skies sky
It includes: having the maximum value and minimum value of the observation data intermediate infrared radiation brightness of skies sky；The infra-red radiation of the cloudless air is seen
Surveying statistical data includes: the maximum value and minimum value of the Satellite Observations intermediate infrared radiation brightness of cloudless air.
6. according to the method described in claim 5, it is characterized in that, having the infra-red radiation observation statistics of skies sky in the basis
Data carry out assignment to the cloud background dot, the step of to obtain the infra-red radiation brightness value of the point in, using following formula:
Wherein, R_cloud (x, y) is the infra-red radiation brightness value of cloud background dot, R_cloudminTo there is the observation data of skies sky
The minimum value of intermediate infrared radiation brightness, R_cloudmaxTo there is the maximum value of the observation data intermediate infrared radiation brightness of skies sky,
SmaxTo have the maximum value of pixel in the 2-D gray image of skies sky, SminTo there is pixel in the 2-D gray image of skies sky
The minimum value of point, SthTo determine threshold value used in pixel classification in 2-D gray image.
7. according to the method described in claim 5, it is characterized in that, being counted in described observed according to the infra-red radiation of cloudless air
Data carry out assignment to the sky background point, the step of to obtain the infra-red radiation brightness value of the point in, using following formula:
Wherein, R_sky (x, y) is the infra-red radiation brightness value of sky background point, R_skyminFor in the observation data of cloudless air
The minimum value of infra-red radiation brightness, R_skymaxFor the maximum value of the observation data intermediate infrared radiation brightness of cloudless air, SmaxFor
There are the maximum value of pixel in the 2-D gray image of skies sky, SminTo there is pixel in the 2-D gray image of skies sky
Minimum value, SthTo determine threshold value used in pixel classification in 2-D gray image.
8. a kind of IR image enhancement device, which is characterized in that described device includes:
Module is obtained, has the infra-red radiation of skies sky and cloudless air to observe statistical data for obtaining；
First generation module, for generating the 2-D gray image for having skies sky based on fractal algorithm；
Second generation module has the infra-red radiation of skies sky and cloudless air observation statistical data to have the skies to described for basis
Pixel in empty 2-D gray image carries out assignment, to generate the infrared radiation images for having skies sky.
9. a kind of electronic equipment characterized by comprising
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The now method as described in any in claim 1 to 7.
10. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that described program is held by processor
The method as described in any in claim 1 to 7 is realized when row.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910007102.9A CN109685868A (en) | 2019-01-04 | 2019-01-04 | A kind of IR image enhancement method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910007102.9A CN109685868A (en) | 2019-01-04 | 2019-01-04 | A kind of IR image enhancement method and apparatus |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109685868A true CN109685868A (en) | 2019-04-26 |
Family
ID=66192003
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910007102.9A Pending CN109685868A (en) | 2019-01-04 | 2019-01-04 | A kind of IR image enhancement method and apparatus |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109685868A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101706967A (en) * | 2009-11-18 | 2010-05-12 | 电子科技大学 | Comprehensive simulation method for realistic cloud layer |
| CN101799921A (en) * | 2009-02-10 | 2010-08-11 | 中国科学院计算技术研究所 | Cloud detection method of optic remote sensing image |
| CN103186906A (en) * | 2011-12-28 | 2013-07-03 | 中国科学院沈阳自动化研究所 | Real-time infrared dynamic scene simulation method for multiple objects in sea and sky background |
| CN103761704A (en) * | 2014-01-15 | 2014-04-30 | 北京环境特性研究所 | Image generating method and system based on infrared remote sensing data |
| CN108010124A (en) * | 2017-12-27 | 2018-05-08 | 哈尔滨工业大学 | The big visual field infrared acquisition image simulation method transmitted based on radiation |
-
2019
- 2019-01-04 CN CN201910007102.9A patent/CN109685868A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101799921A (en) * | 2009-02-10 | 2010-08-11 | 中国科学院计算技术研究所 | Cloud detection method of optic remote sensing image |
| CN101706967A (en) * | 2009-11-18 | 2010-05-12 | 电子科技大学 | Comprehensive simulation method for realistic cloud layer |
| CN103186906A (en) * | 2011-12-28 | 2013-07-03 | 中国科学院沈阳自动化研究所 | Real-time infrared dynamic scene simulation method for multiple objects in sea and sky background |
| CN103761704A (en) * | 2014-01-15 | 2014-04-30 | 北京环境特性研究所 | Image generating method and system based on infrared remote sensing data |
| CN108010124A (en) * | 2017-12-27 | 2018-05-08 | 哈尔滨工业大学 | The big visual field infrared acquisition image simulation method transmitted based on radiation |
Non-Patent Citations (1)
| Title |
|---|
| 娄树理等: "海洋战场环境下天空的红外图像生成研究", 《激光与红外》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2020100323A4 (en) | Solar Power Forecasting | |
| CN105847703B (en) | A kind of image processing method and electronic equipment | |
| US11257288B2 (en) | Feature height-based colored image generating apparatus and feature height-based colored image generating program | |
| US10762649B2 (en) | Methods and systems for providing selective disparity refinement | |
| US20210199433A1 (en) | Feature/ground height-based colored image generating apparatus and feature height-based colored image generating program | |
| CN111369659B (en) | Texture mapping method, device and equipment based on three-dimensional model | |
| CN103955905A (en) | Rapid wavelet transformation and weighted image fusion single-image defogging method | |
| EP2983131A1 (en) | Method and device for camera calibration | |
| US10609303B2 (en) | Method and apparatus for rapid improvement of smog/low-light-level image using mapping table | |
| US20130028482A1 (en) | Method and System for Thinning a Point Cloud | |
| CN110514298A (en) | A kind of solar irradiation strength calculation method based on ground cloud atlas | |
| WO2017193172A1 (en) | "solar power forecasting" | |
| CN110362923B (en) | Three-dimensional monitoring coverage rate method based on three-dimensional visual field analysis, monitoring installation method and monitoring system | |
| CN111222511B (en) | Infrared unmanned aerial vehicle target detection method and system | |
| CN104346783A (en) | Processing method and processing device for defogging image | |
| CN113902812A (en) | Laser radar and camera external parameter automatic calibration method based on multiple calibration plates | |
| CN108169818A (en) | A kind of novel observation system quality evaluating method | |
| Ji et al. | Real-time enhancement of the image clarity for traffic video monitoring systems in haze | |
| Fu et al. | An anisotropic Gaussian filtering model for image de-hazing | |
| CN109685868A (en) | A kind of IR image enhancement method and apparatus | |
| EP3794910B1 (en) | A method of measuring illumination, corresponding system, computer program product and use | |
| CN109580174A (en) | Detection method, device and the readable storage medium storing program for executing of semiconductor laser local uniformity | |
| KR101507642B1 (en) | Method for compensating fogs image based on estimated transmission value | |
| Morbee et al. | Dempster-Shafer based multi-view occupancy maps | |
| US9641794B2 (en) | Smudge removal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190426 |
|
| RJ01 | Rejection of invention patent application after publication |