CN108596993A - Correct system and the bearing calibration of image unsaturation artifact - Google Patents
Correct system and the bearing calibration of image unsaturation artifact Download PDFInfo
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Abstract
The present invention provide it is a kind of correction image unsaturation artifact system and bearing calibration, including:The first image and the second image are obtained, pixel of the gray value in the first image beyond the first setting gray scale is marked, pixel of the gray value in the second image beyond the second setting gray scale is marked;If there is mark point in described first image and second image, the grey scale pixel value of all mark points in described first image and second image is set as third setting gray scale output, realizes that gray scale is blocked to be corrected to unsaturated artifact;If mark point is not present in described first image or second image, blocked without gray scale.The present invention achievees the purpose that elimination image unsaturation artifact on the basis of not increasing existing hardware cost, improves picture quality, while integration is high, flexibility is big, applied widely.
Description
Technical field
The present invention relates to X-ray flat panel detector fields, more particularly to a kind of system of correction image unsaturation artifact
And bearing calibration.
Background technology
Non-crystalline silicon X-ray flat panel detector is to convert X-ray to visible light by scintillator, then by amorphous silicon detector
It realizes opto-electronic conversion, is then digitized by reading circuit, be transmitted to computer terminal and form displayable digital picture.It is non-
Brilliant selenium X-ray flat panel detector is directly to carry out opto-electronic conversion to X-ray, digitizes the mode and amorphous silicon flat panel phase of conversion
Together.There is displayable gray scale limiting value (saturation value) in the image of this kind of digitizer tablet detector.In actual use, high
Under dosage shooting condition, saturation gray value is presented in non-object area in obtained image, but gray scale occurs in some of which region
The phenomenon that value is less than saturation value, is called unsaturated artifact.It is at random that real image shows as saturated pixel point, unsaturated pixel
Distribution, or also will appear apparent gray scale point between the channel (channels Read) of reading data in unsaturated artifact region
Boundary, i.e. Read channel differences.This artifact shoots time-frequency and occurs frequently now at high doses, seriously affects the visual effect of image, schemes
Image quality amount declines.
Currently, industry is that gray scale blocks (Clipping) to the basic handling method of unsaturated artifact under high dose, that is, is sentenced
Disconnected image pixel gray level value, then the setting value is set to when it is more than the value of a certain setting by its whole.As shown in Figure 1, step
S11 starts exposure collecting flowchart, and detector prepares windowing acquisition exposure, original by being obtained after emptying, wait for, expose, acquiring
Bright-field image;Step S12 starts correcting process, obtains correction image;Step S13, after image rectification flow, to figure
The gray value of picture does primary judgement;Step S14 is set to the setting value if being more than setting value, carry out gray value block with
Obtain final goal image.
But only do such gray scale and block, it still will appear unsaturated artifact in certain threshold dose hypographs.And
And setting gray scale cutoff value it is higher when, because sensitivity enters nonlinear area, still will appear insatiable hunger in high dose hypograph
And artifact;When the gray scale cutoff value of setting is relatively low, although solving the problems, such as unsaturated artifact substantially, in a certain threshold dose
The problem of will appear some pixels for being less than cutoff value in image, needing to continue to reduce gray scale cutoff value, bring in this way is big
The big dynamic range for reducing detector, limits the Clinical practice of detector to a certain extent.
Therefore, the unsaturation of high dose hypograph how is fully and effectively eliminated while ensureing detector dynamic range
Artifact, it has also become one of those skilled in the art's urgent problem to be solved.
Invention content
In view of the foregoing deficiencies of prior art, the purpose of the present invention is to provide a kind of correction image unsaturation artifacts
System and bearing calibration, reduce asking for detector dynamic range for solving the when of eliminating unsaturated artifact in the prior art
Topic.
In order to achieve the above objects and other related objects, the present invention provides a kind of bearing calibration of image unsaturation artifact,
The bearing calibration of described image unsaturation artifact includes at least:
The first image and the second image are obtained, to pixel of the gray value in described first image beyond the first setting gray scale
It is marked, pixel of the gray value in second image beyond the second setting gray scale is marked;Wherein, described first
Image and second image are image of the same target in the different disposal stage;
If there is mark point in described first image and second image, by described first image and described second
The pixel gray value of all mark points is set as third setting gray scale output in image, realizes that gray scale is blocked with to unsaturated pseudo-
Shadow is corrected;If mark point is not present in described first image or second image, blocked without gray scale.
Preferably, described first image is original image, and second image is by compensation correction, gain calibration and to lack
Fall into the correction image after any one of correction or two or three.
Preferably, described first image and second image are respectively to carry out the image after different corrections, correcting mode
Including any one of compensation correction, gain calibration and defect correction or two or three..
Preferably, described first image is by any one of compensation correction, gain calibration and defect correction or two
Or the correction image after three, second image are by flat panel detector internal image treated image.
It is highly preferred that the first setting gray scale is set as the 80%~100% of the saturation gray value of analog-digital converter.
It is highly preferred that the second setting gray scale is no more than the maximum gray scale in flat panel detector sensitivity linear region
Value.
It is highly preferred that the first setting gray scale is more than described second and sets gray scale.
It is highly preferred that the first setting gray scale, which is more than described second, sets third setting gray scale described in gray scale more than described
Larger one in first setting gray scale and the second setting gray scale.
It is highly preferred that the third sets gray scale as one in the first setting gray scale or the second setting gray scale
It is a.
Preferably, the bearing calibration of described image unsaturation artifact is realized inside flat panel detector.
It is highly preferred that realizing that gray scale is blocked at daemon software end, and then obtain the image after unsaturated artifact correction
In order to achieve the above objects and other related objects, the present invention provides a kind of system of correction image unsaturation artifact,
The system of the correction image unsaturation artifact includes at least:
Control module, acquisition module, correction module, judgment module, gray scale truncation module and image output module;
The control module connects the acquisition module, the correction module, the judgment module, the gray scale truncated position
Module and described image output module are managed, for controlling each module;
The acquisition module completes Image Acquisition under the control of the control module;
The correction module connects the output end of the acquisition module, for being corrected processing to the image collected;
The judgment module connects the output end of the acquisition module and the correction module, in the control of the control module
Pixel of the gray value in the first image beyond the first setting gray scale is marked under system, to gray value in second image
Whether the pixel beyond the second setting gray scale is marked, then will determine that in described first image and second image
In the presence of marking and export judging result;Wherein, described first image and second image are same target in different disposal rank
The image of section;
The gray scale truncation module connects the output end of the correction module and the judgment module, is sentenced according to described
Disconnected result carries out gray scale to output image and blocks to realize unsaturated artifact correction;
Described image output module connects the output end of the gray scale truncation module, will complete unsaturated artifact correction
Image output.
Preferably, the correction module includes one in compensation correction unit, gain correction unit or defect correction unit
Kind is several.
It is highly preferred that described first image is the collected original image of the acquisition module, second image is institute
State the correction image of correction module output.
It is highly preferred that described first image is the correction image of correction module output, second image is to pass through
Flat panel detector internal image treated image.
Preferably, described first image and second image are respectively the different corrections of carry out of the correction module output
Image afterwards, correcting mode include any one of compensation correction, gain calibration and defect correction or two or three.
As described above, system and the bearing calibration of the correction image unsaturation artifact of the present invention, have the advantages that:
The system of the correction image unsaturation artifact of the present invention and bearing calibration are on the basis for not increasing existing hardware cost
On, achieve the purpose that eliminate image unsaturation artifact, improve picture quality, while integration is high, flexibility is big, the scope of application
Extensively.
Description of the drawings
Fig. 1 shows the method flow schematic diagram in the prior art for eliminating unsaturated artifact.
Fig. 2 is shown as a kind of embodiment schematic diagram of the bearing calibration of the image unsaturation artifact of the present invention.
Fig. 3 is shown as the another embodiment schematic diagram of the bearing calibration of the image unsaturation artifact of the present invention.
Fig. 4 is shown as another embodiment schematic diagram of the bearing calibration of the image unsaturation artifact of the present invention.
Fig. 5 is shown as the structural schematic diagram of the system of the correction image unsaturation artifact of the present invention.
Component label instructions
1 control module
2 acquisition modules
3 correction modules
4 judgment modules
5 gray scale truncation modules
6 image output modules
S11~S14 steps
Specific implementation mode
Illustrate that embodiments of the present invention, those skilled in the art can be by this specification below by way of specific specific example
Disclosed content understands other advantages and effect of the present invention easily.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also be based on different viewpoints with application, without departing from
Various modifications or alterations are carried out under the spirit of the present invention.
Please refer to Fig. 2~Fig. 5.It should be noted that the diagram provided in the present embodiment only illustrates this in a schematic way
The basic conception of invention, package count when only display is with related component in the present invention rather than according to actual implementation in schema then
Mesh, shape and size are drawn, when actual implementation kenel, quantity and the ratio of each component can be a kind of random change, and its
Assembly layout kenel may also be increasingly complex.
Embodiment one
As shown in Fig. 2, the present embodiment provides a kind of bearing calibration of image unsaturation artifact, described image unsaturation artifact
Bearing calibration include:
The first image and the second image are obtained, to pixel of the gray value in described first image beyond the first setting gray scale
It is marked, pixel of the gray value in second image beyond the second setting gray scale is marked.
Specifically, in the present embodiment, described first image is original image, and second image is by compensation correction
(offset), the correction image after gain calibration (Gain) and defect correction (Defect).
More specifically, starting exposure collecting flowchart, flat panel detector acquires bright-field image as the original image;Then
Start correcting process, to the original image compensate correction, gain calibration and defect correction (sequence of correction is unlimited) with
Obtain the correction image.Pixel of the gray value in the original image beyond the first setting gray scale (clipping1) is clicked through
Line flag obtains the first lookup label, and described first searches the pixel for setting gray scale more than described first labeled as gray value
Coordinate set { (xi, yi) };In the present embodiment, the first setting gray scale is set as analog-digital converter in flat panel detector
Saturation gray value 80%~100%, can according to actual acquisition sequential, correcting mode setting it is described first setting gray scale
(clipping1), it is not limited to this embodiment.By gray value in the correction image beyond the second setting gray scale
(clipping2) pixel is marked to obtain the second lookup label, and described second searches labeled as gray value more than described
The coordinate set { (xj, yj) } of the pixel of second setting gray scale;In the present embodiment, the second setting gray scale is less than institute
The first setting gray scale is stated, described second sets gray scale close to the maximum gradation value in flat panel detector sensitivity linear region, but
It is more than the linear region figure of flat panel detector sensitivity no more than the maximum gradation value in flat panel detector sensitivity linear region
As will appear read data channel difference.In actual photographed, described second, which searches label, is set as flat panel detector sensitivity
When maximum gray scale in linear region, image may still will appear under certain threshold doses unsaturated artifact (saturated pixel point,
Unsaturated pixel distribution at random), the value of the first setting gray scale can be reduced at this time, approached in image after ensureing correction but
Pixel less than the second setting gray scale is tagged to, and the value that the first setting gray scale sets gray scale with described second can
With identical, it can also be different, value appropriate is set according to actual needs.
It should be noted that the method for image rectification includes but not limited to compensation correction, gain calibration and defect correction, appoint
Method for correcting image of anticipating is suitable for the present embodiment.
It should be noted that second image can be by arbitrary in compensation correction, gain calibration and defect correction
Correction image after one or two or three, is not limited to this embodiment.
If there is mark point in described first image and second image, by described first image and described second
The grey scale pixel value of all mark points is set as third setting gray scale output in image, realizes that gray scale is blocked with to unsaturated artifact
It is corrected;If mark point is not present in described first image or second image, blocked without gray scale.
Specifically, the quantity of the mark point in described first image and second image is counted, if described
There is mark point in one image and second image, then by all labels in described first image and second image
The gray value of the corresponding pixel of point is set as third setting gray scale (clipping3) and is exported afterwards to realize that gray scale is blocked;If institute
State in the first image or second image there is no mark point (one of described first image and second image there is no mark
Mark point is not present in note point or described first image and second image), then do not change the gray value of pixel, it is directly defeated
Go out;Finally obtain the image after unsaturated artifact correction.
In the present embodiment, the third sets gray scale as the first setting gray scale or the second setting gray scale, more
Further, the third setting gray scale is more than larger in the first setting gray scale and the second setting gray scale one.
It should be noted that the third setting gray scale might be less that the first setting gray scale and second setting
Gray scale theoretically, while meeting the gray value 1) in the original image and be more than described first and setting gray scale, 2) corresponding institute of sitting down
It states the gray value in correction image and is more than the second setting gray scale, then the gray value of the pixel can be carried out blocking, no
It is limited with the present embodiment.
It is blocked it should be noted that gray scale can be carried out to the correction image, it can also be to by follow-up further figure
As treated, final image progress gray scale is blocked, and with the image after the unsaturated artifact correction of output, is not limited to this embodiment.
It should be noted that in the present embodiment, the bearing calibration of described image unsaturation artifact is in flat panel detector
It realizes in portion.
Embodiment two
As shown in figure 3, the present embodiment provides a kind of bearing calibration of image unsaturation artifact, it is different from embodiment one it
It is in described first image is the first correction image, and second image is the second correction image.
Specifically, the method for the acquisition first correction image and the second correction image includes:Start exposure acquisition
Flow, flat panel detector acquire bright-field image, then start correcting process, and the first correction and the second school are carried out to institute's bright-field image
Just, to obtain the first correction image and the second correction image.In the present embodiment, the first correction image is the bright field figure
As the image after compensation correction, the second correction image is the bright-field image after compensation correction and defect correction
Image.
It should be noted that the first correction image and second image are respectively to carry out the figure after different corrections
Picture, correcting mode includes any one of compensation correction, gain calibration and defect correction or two or three, not with the present embodiment
It is limited, meanwhile, further include other bearing calibrations, do not repeat one by one herein, different correction images can be obtained by combination.
Other steps and method are similar with embodiment one, do not repeat one by one herein.
Embodiment three
As shown in figure 4, the present invention also provides a kind of bearing calibration of image unsaturation artifact, it is different from embodiment one it
It is in described first image is correction image, and second image is after all image procossings in portion's flat panel detector
Image to be output.
Specifically, it obtains the correction image and the method for the image to be output includes:Start exposure collecting flowchart, puts down
Partitioned detector acquires bright-field image, then starts correcting process, is corrected to institute's bright-field image, to obtain the correction chart
Picture;Further image procossing is carried out to the correction image, obtains the image to be output.The correction image includes but unlimited
In the image after any one of compensation correction, gain calibration and defect correction or two or three.The figure to be output
As including but not limited to the processing such as correction, denoising, enhancing, recovery, segmentation, extraction feature, it is not limited to this embodiment.
Example IV
The present invention also provides a kind of bearing calibrations of image unsaturation artifact, with embodiment one the difference is that, it is real
The step of existing gray scale is blocked executes in daemon software.
Specifically, the first image and the second image are obtained in flat panel detector, the first image of label and the second image obtain
Label and the second lookup label are searched to first.Daemon software acquisition described first image, second image, described first are looked into
Label and the second lookup label are looked for, and will determine that in described first image and second image whether there is label,
And then gray scale is taken to block measure, it does not repeat one by one herein.
It should be noted that described first image and second image are figure of the same target in the different disposal stage
The image of picture, arbitrary processing stage is suitable for the present invention, is not limited with the scheme cited by one~example IV of the present embodiment.
Embodiment five
As shown in figure 5, the present embodiment provides a kind of system of correction image unsaturation artifact, the correction image is unsaturated
The system of artifact includes:
Control module 1, acquisition module 2, correction module 3, judgment module 4, gray scale truncation module 5 and image export mould
Block 6.
As shown in figure 5, the control module 1 connect the acquisition module 2, the correction module 3, the judgment module 4,
The gray scale truncation module 5 and described image output module 6, for controlling each module.
Specifically, the control module 1 exports various control signals and completes unsaturated artifact correction to control each module.
In the present embodiment, the control module 1 is set to FPGA (Field-Programmable Gate Array, field programmable gate
Array) in or arm processor (Advanced RISC Machines) in.
As shown in figure 5, the acquisition module 2 connects the control module 1, figure is completed under the control of the control module 1
As acquisition.
Specifically, the acquisition module 2 after emptying, wait for, expose, acquiring by obtaining original bright-field image.
As shown in figure 5, the correction module 3 connects the control module 1 and the acquisition module 2, for collecting
Image be corrected processing.
Specifically, the correction module 3 receives the original bright-field image of the output of the acquisition module 2, and in the control
Image rectification is carried out to the original bright-field image under the control of module 1, obtains correction image.The correction module 3 include but
It is not limited to compensation correction unit, gain correction unit and defect correction unit, the unit of arbitrary achievable image rectification is applicable in
In the correction module 3 of the present invention, it is not limited to this embodiment.
As shown in figure 5, the judgment module 4 connects the control module 1, the acquisition module 2 and the correction module
3, block judgement for carrying out lookup label and gray scale.
Specifically, the control module 1 controls the judgment module 4 by the ash of each pixel in the original bright-field image
Angle value is compared with the first setting gray scale, and the pixel beyond the first setting gray scale is marked, and obtains the first lookup
Label.
Specifically, the control module 1 controls the judgment module 4 by the gray value of each pixel in the correction image
It is compared with the second setting gray scale, and the pixel beyond the second setting gray scale is marked, obtain the second lookup label.
Specifically, the control module 1 controls the judgment module 4 and will determine that described first image and second image
In whether in the presence of mark and export judging result.
It should be noted that it can be the original image and correction image that this implementation is enumerated to obtain the image searched and marked
(image after any one of compensation correction, gain calibration and defect correction or two or three);It is correction image (warp
Image after any one of overcompensation correction, gain calibration and defect correction or two or three) and pass through flat panel detector
Internal image treated image;Can also be the first correction image and the second correction image after carrying out different corrections, correction
Mode includes any one of compensation correction, gain calibration and defect correction or two or three;Same target is in different disposal
The image in stage is suitable for the present invention, is not limited to this embodiment.
As shown in figure 5, the gray scale truncation module 5 connects the control module 1, the correction module 3 and described
Judgment module 4 carries out gray scale to output image according to the judging result and blocks to realize unsaturated artifact correction.
Specifically, the gray scale truncation module 5 obtains the judging result from the judgment module 4, if described
There is mark point in one image and second image, then by all labels in described first image and second image
The gray value of the corresponding pixel of point is set as third setting gray scale (clipping3) and is exported afterwards to realize that gray scale is blocked;If institute
State in the first image or second image there is no mark point (one of described first image and second image there is no mark
Mark point is not present in note point or described first image and second image), then do not change the gray value of pixel, it is directly defeated
Go out.
As shown in figure 5, described image output module 6 connects the control module 1 and the gray scale truncation module 5,
It will complete the image output of unsaturated artifact correction.
The present invention is marked by doing to search for the first time to uncorrected original image, and it is more than really a certain gray value to mark
Pixel;Second is carried out to the image after correction again and searches label, is marked after correcting beyond another setting gray value
Pixel;Then judging to mark twice as a result, do gray scale truncation to final image, export image.The present invention is ensureing
While detector dynamic range, the unsaturated artifact of high dose hypograph is more fully effectively eliminated;It is existing not increasing
On the basis of hardware cost, achievees the purpose that eliminate image unsaturation artifact, improve picture quality;Have the integrated of height
Property, flexibility and the extensive scope of application.
In conclusion the present invention provide it is a kind of correction image unsaturation artifact system and bearing calibration, including:Obtain the
One image and the second image are marked pixel of the gray value in described first image beyond the first setting gray scale, to institute
Pixel of the gray value beyond the second setting gray scale in the second image is stated to be marked;Wherein, described first image and described
Two images are image of the same target in the different disposal stage;If there is label in described first image and second image
It is defeated to be then set as third setting gray scale by point for the grey scale pixel value of all mark points in described first image and second image
Go out, realizes that gray scale is blocked to be corrected to unsaturated artifact;If there is no marks in described first image or second image
Remember point, is then blocked without gray scale.The present invention reaches on the basis of not increasing existing hardware cost and eliminates the unsaturated puppet of image
The purpose of shadow improves picture quality, while integration is high, flexibility is big, applied widely.So the present invention effectively overcomes
Various shortcoming in the prior art and have high industrial utilization.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology can all carry out modifications and changes to above-described embodiment without violating the spirit and scope of the present invention.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should by the present invention claim be covered.
Claims (16)
1. a kind of bearing calibration of image unsaturation artifact, which is characterized in that the bearing calibration of described image unsaturation artifact is extremely
Include less:
The first image and the second image are obtained, pixel of the gray value in described first image beyond the first setting gray scale is carried out
Pixel of the gray value in second image beyond the second setting gray scale is marked in label;Wherein, described first image
And second image is image of the same target in the different disposal stage;
If there is mark point in described first image and second image, by described first image and second image
In all mark points grey scale pixel value be set as third setting gray scale output, realize gray scale block with to unsaturated artifact carry out
Correction;If mark point is not present in described first image or second image, blocked without gray scale.
2. the bearing calibration of image unsaturation artifact according to claim 1, it is characterised in that:Described first image is original
Beginning image, second image are after any one of compensation correction, gain calibration and defect correction or two or three
Correction image.
3. the bearing calibration of image unsaturation artifact according to claim 1, it is characterised in that:Described first image and institute
It is respectively to carry out the image after different corrections to state the second image, and correcting mode includes compensation correction, gain calibration and defect correction
Any one of or two or three.
4. the bearing calibration of image unsaturation artifact according to claim 1, it is characterised in that:Described first image is warp
Correction image after any one of overcompensation correction, gain calibration and defect correction or two or three, second image
For by flat panel detector internal image treated image.
5. the bearing calibration of the image unsaturation artifact according to Claims 1 to 4 any one, it is characterised in that:It is described
First setting gray scale is set as the 80%~100% of the saturation gray value of analog-digital converter.
6. the bearing calibration of the image unsaturation artifact according to Claims 1 to 4 any one, it is characterised in that:It is described
Second setting gray scale is no more than the maximum gradation value in flat panel detector sensitivity linear region.
7. the bearing calibration of the image unsaturation artifact according to Claims 1 to 4 any one, it is characterised in that:It is described
First setting gray scale is more than described second and sets gray scale.
8. the bearing calibration of the image unsaturation artifact according to Claims 1 to 4 any one, it is characterised in that:It is described
Third sets gray scale and is more than larger in the first setting gray scale and the second setting gray scale one.
9. the bearing calibration of the image unsaturation artifact according to Claims 1 to 4 any one, it is characterised in that:It is described
Third sets gray scale as one in the first setting gray scale or the second setting gray scale.
10. the bearing calibration of image unsaturation artifact according to claim 1, it is characterised in that:Described image is unsaturated
The bearing calibration of artifact is realized inside flat panel detector.
11. the bearing calibration of image unsaturation artifact according to claim 10, it is characterised in that:In daemon software end reality
Existing gray scale is blocked, and then obtains the image after unsaturated artifact correction.
12. a kind of system of correction image unsaturation artifact, which is characterized in that the system packet of the correction image unsaturation artifact
It includes:
Control module, acquisition module, correction module, judgment module, gray scale truncation module and image output module;
The control module connects the acquisition module, the correction module, the judgment module, the gray scale truncation mould
Block and described image output module, for controlling each module;
The acquisition module completes Image Acquisition under the control of the control module;
The correction module connects the output end of the acquisition module, for being corrected processing to the image collected;
The judgment module connects the output end of the acquisition module and the correction module, under the control of the control module
Pixel of the gray value in first image beyond the first setting gray scale is marked, gray value in second image is exceeded
The pixel of second setting gray scale is marked, and then judges whether there is mark in described first image and second image
Remember and exports judging result;Wherein, described first image and second image are figure of the same target in the different disposal stage
Picture;
The gray scale truncation module connects the output end of the correction module and the judgment module, is tied according to the judgement
Fruit carries out gray scale to output image and blocks to realize unsaturated artifact correction;
Described image output module connects the output end of the gray scale truncation module, will complete the figure of unsaturated artifact correction
As output.
13. the system of correction image unsaturation artifact according to claim 12, it is characterised in that:The correction module packet
Include one or more of compensation correction unit, gain correction unit or defect correction unit.
14. the system for correcting image unsaturation artifact according to claim 12 or 13, it is characterised in that:First figure
As being the collected original image of the acquisition module, second image is the correction image of correction module output.
15. the system for correcting image unsaturation artifact according to claim 12 or 13, it is characterised in that:First figure
As be the correction module output correction image, second image be by flat panel detector internal image treated figure
Picture.
16. the system of correction image unsaturation artifact according to claim 12, it is characterised in that:Described first image and
Second image is respectively the image after the different corrections of progress of the correction module output, and correcting mode includes compensation school
Just, any one of gain calibration and defect correction or two or three.
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