CN106595871A - Infrared target simulator grayscale adaptive linear correction device and correction method - Google Patents
Infrared target simulator grayscale adaptive linear correction device and correction method 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
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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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
- G01J5/80—Calibration
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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
An infrared target simulator grayscale adaptive linear correction device and a correction method relate to the field of image signal processing. The problem concerning generality of grayscale correction is solved. The correction device of the invention comprises an input signal decoding chip which decodes an input digital signal, a grayscale linear correction processing chip which receives data after decoding and linearly corrects the grayscale of the data, an output signal coding chip which receives the data after grayscale linear correction, codes the data and outputs the coded data to a DMD (Digital Micro-mirror Device) for display, and a grayscale feature storage device which is used for storing difference data between grayscale coefficient correction image data values. The device is simple in structure, flexible in use, and universal. For a scene shot by an infrared thermal imager or a scene made using professional scene simulation software, there is no need to adjust the grayscale parameters separately. The production efficiency of scene simulation images is improved greatly, and the workload of scene designers is reduced.
Description
Technical field
The present invention relates to technical field of image signal processing, and in particular to a kind of infrared target simulator gray scale self adaptation line
Property correcting unit and bearing calibration.
Background technology
Infrared target simulator is one of a kind of commonly used detection of Jing and calibrating installation in Infrared System Engineering field, its
Accuracy and stability will be directly connected to the key technical indexes and performance of infrared series of products.
In infrared target simulator, because DMD (DMD) is a kind of mode of optical projection system, therefore it is projected
Output have passed through the gradation correction processing of its own, and the image for making output meets the observation of human eye and is unlikely to distortion.But
Some emulation fields but require that DMD can not carry out gray correction, and directly carry out linear convergent rate.The solution commonly used at present
It is that directly image source is processed, i.e., first measures DMD gray correction curves, " anti-correction is bent then image source to be carried out into one
The correction process of line ".But this processing mode does not have motility and versatility, its main cause is：The figure commonly used at present
Image source acquisition modes mainly have two kinds, one kind is that scene is shot on the spot using thermal infrared imager, then will get
Image, is carried out after " inverse curve correction " according to the parameter of each infrared target simulator, then is entered by infrared target simulator
Row projection output, another way is to produce required emulation field using the scene simulation software (such as Vega etc.) of specialty
Scape, needs also exist for carrying out the correction of gray scale according to the parameter of infrared target simulator in manufacturing process, reprojection output, invisible
Among increased the workload of image source, and each infrared target simulator is required for individually adjusting image source.
The content of the invention
In order to realize general gray correction, the present invention provides a kind of infrared target simulator gray scale adaptive line
Correcting unit and bearing calibration.
The present invention is as follows to solve the technical scheme that technical problem is adopted：
The infrared target simulator gray scale adaptive line correcting unit of the present invention, including：
Input signal decoding chip, the digital signal to being input into carries out decoding process；
With the linear correction process chip of the gray scale that input signal decoding chip is connected, the data after decoding process are received simultaneously right
It carries out gray scale linearity correction；
The output signal coding chip being connected with the linear correction process chip of gray scale, receives the data after gray scale linearity correction
And coded treatment is carried out to it, the data output after coded treatment is shown to DMD；
The gray feature memorizer being integrated in the linear correction process chip of gray scale, for storing gamma correction image
Difference data between data value.
Further, the difference data between gamma correction image data value is referred to：By gray scale linearity correction
Process chip selects the gamma characteristic for being applied to gray correction in multiple different gamma characteristics, by being applied to
The gamma characteristic of gray correction determines respectively one-to-one gamma correction image data value therewith, and calculates
The difference data gone out between these gamma correction image data values.
Further, the AD9883 chips that the input signal decoding chip is produced using AD companies.
Further, the linear correction process chip of the gray scale is using the production of ALTERA companies
EP1C6Q240FPGA chips.
Further, the ADV7123 chips that the output signal coding chip is produced using AD companies.
Present invention also offers a kind of infrared target simulator gray scale adaptive line bearing calibration, the method includes following
Step：
Step one, drafting gray-scale maps, calculate the real output value corresponding to gray-scale maps；
Step 2, the real output value of the gray-scale maps obtained by step one draw a gray scale non-linearization curve, adopt
Carried out curve fitting with method of least square, draw the original function formula of the curve, and derive its corresponding inverse function formula, it is right
A gray scale inverse curve correction characteristic curve should be obtained；
Step 3, generate a corresponding checking lists according to 256 grades of gray scales；
Step 4, the checking list obtained in step 3 is cured in the linear correction process chip of gray scale；
Step 5, input signal decoding chip receive digital signal and carry out decoding process to it, after decoding process
Data the linear correction process chip of gray scale is transferred to by input signal decoding chip；
Step 6, by the linear correction process chip of gray scale select in multiple different gamma characteristics be applied to ash
The gamma characteristic of degree correction, is determined respectively one-to-one therewith by the gamma characteristic suitable for gray correction
Gamma correction image data value, and calculate the difference data between these gamma correction image data values；
Step 7, above-mentioned difference data is stored in the gray feature memorizer of the linear correction process chip of gray scale；
Step 8, inverse curve correction
Using the difference obtained in checking list, the step 6 obtained in inverse function formula, the step 3 obtained in step 2
Data, while being corrected to the digital signal for receiving using the bearing calibration of gray scale inverse curve, ultimately generate gamma school
Positive information；
Step 9, the gamma correction information output for generating step 8 to output signal coding chip, by output
Signal coding chip carries out exporting digital signal after coded treatment to it, there is provided show to DMD.
Further, the detailed process of step one is：
Tonal gradation is made from 0 to 255 256 width gray-scale maps using drawing software, gathers infrared by thermal infrared imager
The image of target simulator output, then draws the real output value of correspondence input gray level figure.
Further, the detailed process of step 3 is：
Draw by input variable in the range of 0～255 finite interval is substituted into into the inverse function formula that step 2 is obtained
Corresponding result, i.e. checking list.
The invention has the beneficial effects as follows：The infrared target simulator gray scale adaptive line correcting unit structure letter of the present invention
It is single, using flexible, with versatility, either shoot the scene for obtaining for thermal infrared imager and still imitated using the scene of specialty
The scene of true software development, all without the need for individually adjusting grey parameter, only need in a conventional way make image source, by correcting unit
Carry out greatly improving the make efficiency of scene simulation image from dynamic(al) correction gray scale, alleviate the work of Scenario Design personnel
Burden.
Description of the drawings
Fig. 1 is the structural representation of the infrared target simulator gray scale adaptive line correcting unit of the present invention.
Fig. 2 is calibration trace schematic diagram.
Fig. 3 is gray scale output linearity relation schematic diagram
In figure：1st, input signal decoding chip, 2, the linear correction process chip of gray scale, 3, output signal coding chip, 4,
Gray feature memorizer.
Specific embodiment
The present invention is described in further detail below in conjunction with accompanying drawing.
As shown in figure 1, the infrared target simulator gray scale adaptive line correcting unit of the present invention, mainly includes：Input
The linear correction process chip 2 of signal decoding chip 1, gray scale, output signal coding chip 3, gray feature memorizer 4.
Input signal decoding chip 1 is connected with the linear correction process chip 2 of gray scale.The linear correction process chip 2 of gray scale with
Output signal coding chip 3 is connected.Gray feature memorizer 4 is included in the linear correction process chip 2 of gray scale.By input signal solution
The digital signal of code 1 pair of input of chip carries out decoding process, and by the data transfer after decoding process to gray scale linearity correction
In reason chip 2, gray scale linearity correction is carried out by the data of 2 pairs of receptions of the linear correction process chip of gray scale, then it is linear by gray scale
Correction process chip 2 is compiled in the data transfer of gray scale linearity correction to output signal coding chip 3 by output signal
The code data that receive of chip 3 pairs carry out coded treatment, and by the data output after coded treatment, there is provided DMD shows.
A kind of infrared target simulator gray scale adaptive line bearing calibration of the present invention, its detailed process is as follows：
Step one, the 256 width gray-scale maps that tonal gradation is from 0 to 255 are made using professional drawing software, then using with it is red
The thermal infrared imager that outer target simulator matches, gathers the image of infrared target simulator output, so by thermal infrared imager
The real output value of correspondence input gray level figure is drawn afterwards.
Step 2, the real output value of the gray-scale maps obtained by step one can show that a gray scale non-linearization is bent
Shown in (b) in line, such as Fig. 2, carried out curve fitting using method of least square, draw the original function formula of the curve, and derived
Go out its corresponding inverse function formula, shown in (a) in the gray scale inverse curve correction characteristic curve that correspondence is obtained such as Fig. 2.
Step 3, generate a corresponding checking lists according to 256 grades of gray scales
Due to the inverse function formula that step 2 is derived, its input variable is in 0～255 finite interval
Reduce the workload of correction process and reduce time delay, the input variable in the range of 0～255 finite interval is substituted into into step 2
The inverse function formula of acquisition can draw corresponding result, i.e. checking list.
Step 4, the checking list obtained in step 3 is cured in the linear correction process chip 2 of gray scale.
Step 5, input signal decoding chip 1 receive digital signal and carry out decoding process to it, after decoding process
Data the linear correction process chip 2 of gray scale is transferred to by input signal decoding chip 1.
Step 6, select to be applied in multiple different gamma characteristics by the linear correction process chip 2 of gray scale
The gamma characteristic of gray correction, is determined respectively by the gamma characteristic suitable for gray correction and is corresponded therewith
Gamma correction image data value, and calculate the difference data between these gamma correction image data values.
Step 7, the gray feature memorizer 4 that above-mentioned difference data is stored in the linear correction process chip 2 of gray scale
In.
Step 8, inverse curve correction
According to original function image and inverse function image with regard to Y=X it is symmetrical the characteristics of, and required for the Y=X exactly present invention
Gray scale output linearity relation, as shown in figure 3, therefore can utilize in step 2 and obtained in the inverse function formula, the step 3 that obtain
Checking list, step 6 in the difference data that obtains, while using the bearing calibration of gray scale inverse curve to the digital signal that receives
It is corrected, ultimately generates gamma correction information.
Step 9, the gamma correction information output for generating step 8 to output signal coding chip 3, by output
Signal coding chip 3 carries out exporting digital signal after coded treatment to it, there is provided show to DMD.
In present embodiment, the AD9883 cores that input signal decoding chip 1 is produced using AD (Ya De promise quasiconductor) company
Piece.
In present embodiment, the EP1C6Q240FPGA that the linear correction process chip 2 of gray scale is produced using ALTERA companies
(FPGA) chip.
In present embodiment, the ADV7123 cores that output signal coding chip 3 is produced using AD (Ya De promise quasiconductor) company
Piece.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (8)
1. infrared target simulator gray scale adaptive line correcting unit, it is characterised in that include：
Input signal decoding chip (1), the digital signal to being input into carries out decoding process；
With the linear correction process chip (2) of the gray scale that input signal decoding chip (1) is connected, the data after decoding process are received simultaneously
Gray scale linearity correction is carried out to it；
The output signal coding chip (3) being connected with the linear correction process chip (2) of gray scale, receives the number after gray scale linearity correction
According to and coded treatment is carried out to it, the data output after coded treatment is shown to DMD；
The gray feature memorizer (4) being integrated in the linear correction process chip (2) of gray scale, for storing gamma correction figure
As the difference data between data value.
2. infrared target simulator gray scale adaptive line correcting unit according to claim 1, it is characterised in that gray scale
Difference data between coefficient correction image data value is referred to：By the linear correction process chip (2) of gray scale in multiple differences
Gamma characteristic in select suitable for gray correction gamma characteristic, by suitable for gray correction gamma
Characteristic determines respectively one-to-one gamma correction image data value therewith, and calculates these gamma corrections
Difference data between image data value.
3. infrared target simulator gray scale adaptive line correcting unit according to claim 1, it is characterised in that described
The AD9883 chips that input signal decoding chip (1) is produced using AD companies.
4. infrared target simulator gray scale adaptive line correcting unit according to claim 1, it is characterised in that described
The EP1C6Q240FPGA chips that the linear correction process chip (2) of gray scale is produced using ALTERA companies.
5. infrared target simulator gray scale adaptive line correcting unit according to claim 1, it is characterised in that described
The ADV7123 chips that output signal coding chip (3) is produced using AD companies.
6. the infrared target simulator gray scale adaptive line bearing calibration as described in any one in claim 1 to 5, it is special
Levy and be, the method is comprised the following steps：
Step one, drafting gray-scale maps, calculate the real output value corresponding to gray-scale maps；
Step 2, the real output value of the gray-scale maps obtained by step one draw a gray scale non-linearization curve, using most
Little square law carries out curve fitting, and draws the original function formula of the curve, and derives its corresponding inverse function formula, to deserved
To a gray scale inverse curve correction characteristic curve；
Step 3, generate a corresponding checking lists according to 256 grades of gray scales；
Step 4, the checking list obtained in step 3 is cured in the linear correction process chip (2) of gray scale；
Step 5, input signal decoding chip (1) receive digital signal and carry out decoding process to it, after decoding process
Data are transferred to the linear correction process chip (2) of gray scale by input signal decoding chip (1)；
Step 6, by the linear correction process chip (2) of gray scale select in multiple different gamma characteristics be applied to ash
The gamma characteristic of degree correction, is determined respectively one-to-one therewith by the gamma characteristic suitable for gray correction
Gamma correction image data value, and calculate the difference data between these gamma correction image data values；
Step 7, the gray feature memorizer (4) that above-mentioned difference data is stored in the linear correction process chip (2) of gray scale
In；
Step 8, inverse curve correction
Using the difference data obtained in checking list, the step 6 obtained in inverse function formula, the step 3 obtained in step 2,
Simultaneously the digital signal for receiving is corrected using the bearing calibration of gray scale inverse curve, ultimately generates gamma correction letter
Breath；
Step 9, the gamma correction information output for generating step 8 to output signal coding chip (3), by exporting letter
Number coding chip (3) carries out exporting digital signal after coded treatment to it, there is provided show to DMD.
7. infrared target simulator gray scale adaptive line bearing calibration according to claim 6, it is characterised in that step
One detailed process is：
Tonal gradation is made from 0 to 255 256 width gray-scale maps using drawing software, infrared target is gathered by thermal infrared imager
The image of simulator output, then draws the real output value of correspondence input gray level figure.
8. infrared target simulator gray scale adaptive line bearing calibration according to claim 6, it is characterised in that step
Three detailed process is：
Correspondence is drawn by input variable in the range of 0～255 finite interval is substituted into into the inverse function formula that step 2 is obtained
Result, i.e. checking list.
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Citations (5)
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|---|---|---|---|---|
| CN1125373A (en) * | 1994-08-06 | 1996-06-26 | 三星电子株式会社 | Method and apparatus for adjusting digital brightness coefficient |
| KR100564467B1 (en) * | 2003-04-10 | 2006-03-29 | 세이코 엡슨 가부시키가이샤 | Image processor, image processing method, and recording medium on which image processing program is recorded |
| CN101009075A (en) * | 2006-01-27 | 2007-08-01 | 华硕电脑股份有限公司 | Display device with compensable environmental brightness |
| CN101771887A (en) * | 2009-01-07 | 2010-07-07 | 青岛海信电器股份有限公司 | Laser projection display method and system |
| US8717378B2 (en) * | 2011-03-29 | 2014-05-06 | Samsung Display Co., Ltd. | Method and apparatus for reduced gate count gamma correction |
-
2016
- 2016-12-16 CN CN201611165568.4A patent/CN106595871A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1125373A (en) * | 1994-08-06 | 1996-06-26 | 三星电子株式会社 | Method and apparatus for adjusting digital brightness coefficient |
| KR100564467B1 (en) * | 2003-04-10 | 2006-03-29 | 세이코 엡슨 가부시키가이샤 | Image processor, image processing method, and recording medium on which image processing program is recorded |
| CN101009075A (en) * | 2006-01-27 | 2007-08-01 | 华硕电脑股份有限公司 | Display device with compensable environmental brightness |
| CN101771887A (en) * | 2009-01-07 | 2010-07-07 | 青岛海信电器股份有限公司 | Laser projection display method and system |
| US8717378B2 (en) * | 2011-03-29 | 2014-05-06 | Samsung Display Co., Ltd. | Method and apparatus for reduced gate count gamma correction |
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Application publication date: 20170426 |