CN109829860A - Linearity dynamic range compression method and system of the full figure in conjunction with Local Phase - Google Patents
Linearity dynamic range compression method and system of the full figure in conjunction with Local Phase Download PDFInfo
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Abstract
The invention belongs to digital image processing techniques fields, specifically provide linearity dynamic range compression method and system of the full figure in conjunction with Local Phase, former full graphics image is passed through into contrast and brightness processed, and local ROI is passed through into contrast and brightness processed, then treated full graphics image and part ROI are carried out Linear Mapping respectively and obtains 8 bitmaps, be then overlapped output target image.The program is by being converted into full graphics image and local ROI image information for original 14 bit digital image, both preferable contrast and brightness had been maintained, with preferable visual effect, and the detailed information of part is highlighted, has been conducive to further perception of the human eye to local image information.
Description
Technical field
The invention belongs to digital image processing techniques fields, and in particular to linearity dynamic of the full figure in conjunction with Local Phase
Range compression method and system.
Background technique
ROI (region of interest) i.e. area-of-interest.In machine vision, image procossing, from processed figure
As sketching the contours of region to be treated, referred to as area-of-interest in a manner of box, circle, ellipse, irregular polygon etc..
With the fast development of infrared technique, thermal infrared imager is widely used in the multiple fields of military and civilian.One
As in the case of, the image of infrared detector output is 14 position digital signals, but common display equipment is all 8 displays, and
Human eye is only 128 gray levels than more sensitive tonal range, it is therefore desirable to carry out dynamic range compression to infrared digital signal
Processing.
There are many traditional dynamic range compression methods, and this method is mainly concerned with linear dynamic range compression.Linearly
Dynamic range compression method is the gain and biasing that Linear Mapping is calculated according to the information of entire image, cannot highlight part sometimes
Detailed information.The present invention increases at the ROI linear dynamic range compression of part on the basis of full figure linear dynamic range is compressed
Reason, can either obtain relatively good picture quality, and can protrude local detailed information within the scope of full figure.
Summary of the invention
The purpose of the present invention is overcome in the prior art dynamic range compression algorithm may cause local detail information lose
The problem of.
For this purpose, the linearity dynamic range compression method that the present invention provides full figures in conjunction with Local Phase, including it is following
Step:
S100: choosing any point on full figure, centered on the point, chooses default size area and is used as part ROI；
S200: using the pixel value of the pixel value of full figure and part ROI as index, and the pixel of different grey-scale is counted
Number, respectively obtains full figure histogram and part ROI histogram, then calculate separately to obtain full graphics image pixel weighted average and
Local ROI image pixel weighted average；
S300: obtaining the dynamic range of the full figure and part ROI respectively, is then calculated according to formula (1), (2) and (3)
Contrast value and brightness value:
G=G0/ (nMax-nMin+nComp) (1)
B=B0-G × Y16 (3)
Wherein, when G is full figure contrast value, and B is full figure brightness value, G0 is that full figure presets contrast desired value, and B0 is
Full figure predetermined luminance desired value, nMax are full figure pixel maximum, and nMin is full figure pixel minimum, and Y16 is that full figure pixel adds
Weight average value, nComp are grey level compensation amount；
When G is part ROI contrast value, and B is part ROI brightness value, G0 is that part ROI presets contrast desired value,
B0 is part ROI predetermined luminance desired value, and nMax is part ROI pixel maximum, and nMin is part ROI pixel minimum, Y16
For local ROI pixel weighted average, nComp is part ROI grey level compensation amount；
S400: output target image is overlapped according to the default weight proportion of full figure and part ROI.
Preferably, step S200 is specifically included:
Weighted average is taken to obtain full figure pixel weighted average after summing to the pixel of full figure different grey-scale；
It is weighted to taking weighted average to obtain local ROI image pixel after the pixel summation of local ROI different grey-scale
Average value.
Preferably, after the step S200 and before step S300 further include:
It is default to throw point ratio, the throwing point ratio is calculated in the corresponding number of pixels of full figure range, is then pressed from low gray level
Sequence to high grade grey level adds up the number of pixels in full figure histogram, throws the corresponding picture of point ratio when the sum of accumulative number is equal to
When plain number, the gray level is recorded, as full figure pixel minimum after throwing point；
According to from high grade grey level to the sequence of low gray level add up full figure histogram in number of pixels, when accumulative number it
When number of pixels corresponding with a ratio of throwing is equal to, the gray level is recorded, as full figure pixel maximum.
Preferably, after the step S200 and before step S300 further include:
It is default to throw point ratio, the throwing point ratio is calculated in the corresponding number of pixels of local ROI range, is then pressed from low ash degree
The sequence of grade to high grade grey level adds up the number of pixels in the ROI histogram of part, throws point ratio pair when the sum of accumulative number is equal to
When the number of pixels answered, the gray level is recorded, as full figure pixel minimum after throwing point；
According to from high grade grey level to the sequence of low gray level add up full figure histogram in number of pixels, when accumulative number it
When number of pixels corresponding with a ratio of throwing is equal to, the gray level is recorded, as full figure pixel maximum.
Preferably, the default throwing point ratio specifically:
The throwing point ratio includes that full figure throws point ratio and a part ROI throwing point ratio；
By in full figure statistical pixel values highest gray level and minimum gray level shear according to preset ratio, it is remaining after shearing
Pixel number account for full figure pixel number ratio be full figure throw point a ratio；
By in local ROI statistical pixel values highest gray level and minimum gray level shear according to preset ratio, after shearing
The ratio that remaining pixel number accounts for local ROI pixel number is that part ROI throws point ratio.
Preferably, before step S400 further include: carry out Linear Mapping point to full figure and part ROI according to formula (4)
8 bit images of full figure are not obtained and 8 bit images of part ROI, formula (4) are as follows:
Y8=G × Y+B (4)
Wherein, when Y8 is 8 bit image of full figure, G is full figure contrast value, and B is full figure brightness value, and Y is former full figure figure
Picture；
When Y8 is 8 bit image of part ROI, G is part ROI contrast value, and B is part ROI brightness value, and Y is former office
Portion's ROI image.
Preferably, the default size area is rectangle, circle, ellipse or irregular polygon.
Preferably, the step S200 is specifically included:
Using the pixel value of the pixel value of full figure and part ROI as index, selection presetted pixel value range is a gray scale
Grade, and then the pixel value of the pixel value of full figure and part ROI is respectively divided into multiple and different gray levels, and count full figure respectively
And the number of pixels of the different grey-scale of ROI, respectively obtain full figure histogram and part ROI histogram.
The linearity dynamic range compressing system that the present invention also provides full figures in conjunction with Local Phase, including region obtain
Module, index module, computing module and output module；
The region obtains module for choosing any point on full figure, centered on the point, chooses default size area
As local ROI, and the dynamic range of the full figure and part ROI is obtained respectively；
The index module is used for using the pixel value of the pixel value of full figure and part ROI as index, and counts different ashes
The number of pixels for spending grade, respectively obtains full figure histogram and part ROI histogram；
The computing module is flat for calculating separately full graphics image pixel weighted average and local ROI image pixel weighting
Then mean value calculates contrast value and brightness value according to formula (1), (2) and (3):
G=G0/ (nMax-nMin+nComp) (1)
B=B0-G × Y16 (3)
Wherein, when G is full figure contrast value, and B is full figure brightness value, G0 is that full figure presets contrast desired value, and B0 is
Full figure predetermined luminance desired value, nMax are full figure pixel maximum, and nMin is full figure pixel minimum, and Y16 is that full figure pixel adds
Weight average value, nComp are grey level compensation amount；
When G is part ROI contrast value, and B is part ROI brightness value, G0 is that part ROI presets contrast desired value,
B0 is part ROI predetermined luminance desired value, and nMax is part ROI pixel maximum, and nMin is part ROI pixel minimum, Y16
For local ROI pixel weighted average, nComp is part ROI grey level compensation amount；
The output module is used to be overlapped output target image according to the default weight proportion of full figure and part ROI.
Beneficial effects of the present invention: linearity dynamic range pressure of this full figure provided by the invention in conjunction with Local Phase
Former full graphics image is passed through contrast and brightness processed, and local ROI is passed through at contrast and brightness by contracting method and system
Then treated full graphics image and part ROI are carried out Linear Mapping respectively and obtain 8 bitmaps, be then overlapped output by reason
Target image.The program was both maintained by the way that original 14 bit digital image is converted into full graphics image and local ROI image information
Preferable contrast and brightness, have preferable visual effect, and have highlighted the detailed information of part, are conducive to human eye to part
The further perception of image information.
The present invention is described in further details below with reference to attached drawing.
Detailed description of the invention
Fig. 1 is linearity dynamic range compression method schematic diagram of the full figure of the present invention in conjunction with Local Phase.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that, term " center ", "upper", "lower", "front", "rear", " left side ",
The orientation or positional relationship of the instructions such as " right side ", "vertical", "horizontal", "top", "bottom", "inner", "outside" is based on the figure
Orientation or positional relationship is merely for convenience of description of the present invention and simplification of the description, rather than the device of indication or suggestion meaning or
Element must have a particular orientation, be constructed and operated in a specific orientation, therefore be not considered as limiting the invention.
Term " first ", " second " be used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance or
Implicitly indicate the quantity of indicated technical characteristic." first " is defined as a result, the feature of " second " can be expressed or imply
Ground includes one or more of the features；In the description of the present invention, unless otherwise indicated, the meaning of " plurality " is two or
It is more than two.
The linearity dynamic range compression method that the embodiment of the invention provides full figures in conjunction with Local Phase, including it is following
Step:
S100: choosing any point on full figure, centered on the point, chooses default size area and is used as part ROI；
S200: using the pixel value of the pixel value of full figure and part ROI as index, and the pixel of different grey-scale is counted
Number, respectively obtains full figure histogram and part ROI histogram, then calculate separately to obtain full graphics image pixel weighted average and
Local ROI image pixel weighted average；
S300: obtaining the dynamic range of the full figure and part ROI respectively, is then calculated according to formula (1), (2) and (3)
Contrast value and brightness value:
G=G0/ (nMax-nMin+nComp) (1)
B=B0-G × Y16 (3)
Wherein, when G is full figure contrast value, and B is full figure brightness value, G0 is that full figure presets contrast desired value, and B0 is
Full figure predetermined luminance desired value, nMax are full figure pixel maximum, and nMin is full figure pixel minimum, and Y16 is that full figure pixel adds
Weight average value, nComp are grey level compensation amount；
When G is part ROI contrast value, and B is part ROI brightness value, G0 is that part ROI presets contrast desired value,
B0 is part ROI predetermined luminance desired value, and nMax is part ROI pixel maximum, and nMin is part ROI pixel minimum, Y16
For local ROI pixel weighted average, nComp is part ROI grey level compensation amount；
S400: output target image is overlapped according to the default weight proportion of full figure and part ROI.
It follows that as shown in Figure 1, original image is generally the image of 14bit i.e. 14, after obtaining original image, system
The full figure pixel value for counting the original image using the pixel value of full figure as index, and counts the number of pixels of different grey-scale, obtains
To full figure histogram, full graphics image pixel weighted average is then calculated.Meanwhile any point on full figure is chosen, with this
Centered on point, chooses default size area and be used as part ROI, using the pixel value of local ROI as index, and count different gray scales
The number of pixels of grade, obtains local ROI histogram, local ROI image pixel weighted average is then calculated.It obtains respectively
Then the dynamic range of the full figure and part ROI calculates contrast value and brightness value according to formula (1), (2) and (3):
G=G0/ (nMax-nMin+nComp) (1)
B=B0-G × Y16 (3)
Wherein, when G is full figure contrast value, and B is full figure brightness value, G0 is that full figure presets contrast desired value, and B0 is
Full figure predetermined luminance desired value, nMax are full figure pixel maximum, and nMin is full figure pixel minimum, and Y16 is that full figure pixel adds
Weight average value, nComp are grey level compensation amount；When G is part ROI contrast value, and B is part ROI brightness value, G0 is part
ROI presets contrast desired value, and B0 is part ROI predetermined luminance desired value, and nMax is part ROI pixel maximum, and nMin is
Local ROI pixel minimum, Y16 are part ROI pixel weighted average, and nComp is part ROI grey level compensation amount.It obtains complete
It after figure contrast and brightness, part ROI contrast and brightness, is overlapped, is obtained full figure and part ROI according to weight proportion
Target image in conjunction with after.The target image had both maintained preferable contrast and brightness, had preferable visual effect, and convex
The detailed information for having shown part, is conducive to further perception of the human eye to local image information.
Preferred scheme, step S200 are specifically included: taking weighted average after summing to the pixel of full figure different grey-scale
Value obtains full figure pixel weighted average；Weighted average is taken to obtain office after summing to the pixel of local ROI different grey-scale
Portion's ROI image pixel weighted average.It follows that as shown in Figure 1, when carrying out gray level division, a gray level includes
Pixel value in all gray levels, is then weighted and averaged by the point of the pixel value of one interval range.
Preferred scheme, the step S200 is later and before step S300 further include: and it is default to throw a point ratio, calculate the throwing
Then point ratio adds up full figure histogram by the sequence from low gray level to high grade grey level in the corresponding number of pixels of full figure range
In number of pixels record the gray level when the sum of accumulative number, which is equal to, throws the point corresponding number of pixels of ratio, as throwing point
Full figure pixel minimum afterwards；Add up the number of pixels in full figure histogram according to from high grade grey level to the sequence of low gray level, when
The sum of accumulative number is equal to when throwing the corresponding number of pixels of point ratio, the gray level is recorded, as full figure pixel maximum.Thus
It is found that first full figure and part ROI are carried out respectively to throw point ratio pretreatment before calculating contrast and brightness.It is default to throw point
Ratio calculates the throwing point ratio in the corresponding number of pixels of local ROI range, then by from low gray level to high grade grey level
Sequence adds up the number of pixels in the ROI histogram of part, when the sum of accumulative number number of pixels corresponding equal to a ratio of throwing,
The gray level is recorded, as full figure pixel minimum after throwing point；Add up full figure according to from high grade grey level to the sequence of low gray level
Number of pixels in histogram records the gray level, makees when the sum of accumulative number number of pixels corresponding equal to a ratio of throwing
For full figure pixel maximum.
Preferred scheme, the default throwing point ratio specifically:
The throwing point ratio includes that full figure throws point ratio and a part ROI throwing point ratio；
By in full figure statistical pixel values highest gray level and minimum gray level shear according to preset ratio, it is remaining after shearing
Pixel number account for full figure pixel number ratio be full figure throw point a ratio；
By in local ROI statistical pixel values highest gray level and minimum gray level shear according to preset ratio, after shearing
The ratio that remaining pixel number accounts for local ROI pixel number is that part ROI throws point ratio.It follows that in order to avoid
Some gray values of gray level substantial deviation must interfere, these abnormal gray levels can regard signal noise as, most by statistics
High, minimum gray level is cut off by a certain percentage, and remaining part is considered more accurately and effectively dynamic range after shearing.It is single
While the ratio of the total pixel of number of pixels Zhan cut off is exactly to throw point ratio.
Preferred scheme, before step S400 further include: full figure and part ROI are linearly reflected according to formula (4)
8 bit images of 8 bit images for respectively obtaining full figure and part ROI are penetrated, formula (4) is as follows:
Y8=G × Y+B (4)
Wherein, when Y8 is 8 bit image of full figure, G is full figure contrast value, and B is full figure brightness value, and Y is former full figure figure
Picture；When Y8 is 8 bit image of part ROI, G is part ROI contrast value, and B is part ROI brightness value, and Y is original part ROI
Image.Available 8 images after Linear Mapping.
Preferred scheme, the default size area are rectangle, circle, ellipse or irregular polygon.
Preferred scheme, the step S200 are specifically included: using the pixel value of the pixel value of full figure and part ROI as rope
Draw, selection presetted pixel value range is a gray level, and then the pixel value of the pixel value of full figure and part ROI is respectively divided
For multiple and different gray levels, and the number of pixels of full figure and the different grey-scale of ROI is counted respectively, respectively obtain full figure histogram
And part ROI histogram.
The linearity dynamic range compressing system that the embodiment of the invention also provides full figures in conjunction with Local Phase, including area
Domain obtains module, index module, computing module and output module；
The region obtains module for choosing any point on full figure, centered on the point, chooses default size area
As local ROI, and the dynamic range of the full figure and part ROI is obtained respectively；
The index module is used for using the pixel value of the pixel value of full figure and part ROI as index, and counts different ashes
The number of pixels for spending grade, respectively obtains full figure histogram and part ROI histogram；
The computing module is flat for calculating separately full graphics image pixel weighted average and local ROI image pixel weighting
Then mean value calculates contrast value and brightness value according to formula (1), (2) and (3):
G=G0/ (nMax-nMin+nComp) (1)
B=B0-G × Y16 (3)
Wherein, when G is full figure contrast value, and B is full figure brightness value, G0 is that full figure presets contrast desired value, and B0 is
Full figure predetermined luminance desired value, nMax are full figure pixel maximum, and nMin is full figure pixel minimum, and Y16 is that full figure pixel adds
Weight average value, nComp are grey level compensation amount；
When G is part ROI contrast value, and B is part ROI brightness value, G0 is that part ROI presets contrast desired value,
B0 is part ROI predetermined luminance desired value, and nMax is part ROI pixel maximum, and nMin is part ROI pixel minimum, Y16
For local ROI pixel weighted average, nComp is part ROI grey level compensation amount；
The output module is used to be overlapped output target image according to the default weight proportion of full figure and part ROI.
Beneficial effects of the present invention: linearity dynamic range pressure of this full figure provided by the invention in conjunction with Local Phase
Former full graphics image is passed through contrast and brightness processed, and local ROI is passed through at contrast and brightness by contracting method and system
Then treated full graphics image and part ROI are carried out Linear Mapping respectively and obtain 8 bitmaps, be then overlapped output by reason
Target image.The program was both maintained by the way that original 14 bit digital image is converted into full graphics image and local ROI image information
Preferable contrast and brightness, have preferable visual effect, and have highlighted the detailed information of part, are conducive to human eye to part
The further perception of image information.
The foregoing examples are only illustrative of the present invention, does not constitute the limitation to protection scope of the present invention, all
It is within being all belonged to the scope of protection of the present invention with the same or similar design of the present invention.
Claims (9)
1. linearity dynamic range compression method of the full figure in conjunction with Local Phase, which comprises the following steps:
S100: choosing any point on full figure, centered on the point, chooses default size area and is used as part ROI；
S200: using the pixel value of the pixel value of full figure and part ROI as index, and counting the number of pixels of different grey-scale,
Full figure histogram and part ROI histogram are respectively obtained, then calculates separately to obtain full graphics image pixel weighted average and office
Portion's ROI image pixel weighted average；
S300: obtaining the dynamic range of the full figure and part ROI respectively, is then calculated and is compared according to formula (1), (2) and (3)
Angle value and brightness value:
G=G0/ (nMax-nMin+nComp) (1)
B=B0-G × Y16 (3)
Wherein, when G is full figure contrast value, and B is full figure brightness value, G0 is that full figure presets contrast desired value, and B0 is full figure
Predetermined luminance desired value, nMax are full figure pixel maximum, and nMin is full figure pixel minimum, and Y16 is that the weighting of full figure pixel is flat
Mean value, nComp are grey level compensation amount；
When G is part ROI contrast value, and B is part ROI brightness value, G0 is that part ROI presets contrast desired value, and B0 is
Local ROI predetermined luminance desired value, nMax are part ROI pixel maximum, and nMin is part ROI pixel minimum, and Y16 is office
Portion ROI pixel weighted average, nComp are part ROI grey level compensation amount；
S400: output target image is overlapped according to the default weight proportion of full figure and part ROI.
2. linearity dynamic range compression method of the full figure according to claim 1 in conjunction with Local Phase, feature exist
In step S200 is specifically included:
Weighted average is taken to obtain full figure pixel weighted average after summing to the pixel of full figure different grey-scale；
It is weighted and averaged to taking weighted average to obtain local ROI image pixel after the pixel summation of local ROI different grey-scale
Value.
3. linearity dynamic range compression method of the full figure according to claim 1 in conjunction with Local Phase, feature exist
In after the step S200 and before step S300 further include:
It is default to throw point ratio, the throwing point ratio is calculated in the corresponding number of pixels of full figure range, then by from low gray level to height
The sequence of gray level adds up the number of pixels in full figure histogram, throws the corresponding pixel of point ratio when the sum of accumulative number is equal to
When number, the gray level is recorded, as full figure pixel minimum after throwing point；
Add up the number of pixels in full figure histogram according to from high grade grey level to the sequence of low gray level, when the sum of accumulative number etc.
When a ratio of throwing corresponding number of pixels, the gray level is recorded, as full figure pixel maximum.
4. linearity dynamic range compression method of the full figure according to claim 1 in conjunction with Local Phase, feature exist
In after the step S200 and before step S300 further include:
It is default to throw a point ratio, calculate the throwing point ratio in the corresponding number of pixels of local ROI range, then by from low gray level to
The sequence of high grade grey level adds up the number of pixels in the ROI histogram of part, when the sum of accumulative number is corresponding equal to point ratio is thrown
When number of pixels, the gray level is recorded, as full figure pixel minimum after throwing point；
Add up the number of pixels in full figure histogram according to from high grade grey level to the sequence of low gray level, when the sum of accumulative number etc.
When a ratio of throwing corresponding number of pixels, the gray level is recorded, as full figure pixel maximum.
5. linearity dynamic range compression method of the full figure according to claim 3 or 4 in conjunction with Local Phase, feature
It is, the default throwing point ratio specifically:
The throwing point ratio includes that full figure throws point ratio and a part ROI throwing point ratio；
By in full figure statistical pixel values highest gray level and minimum gray level shear according to preset ratio, remaining picture after shearing
The ratio that vegetarian refreshments number accounts for full figure pixel number is that full figure throws point ratio；
By in local ROI statistical pixel values highest gray level and minimum gray level shear according to preset ratio, it is remaining after shearing
Pixel number account for local ROI pixel number ratio be part ROI throw put a ratio.
6. linearity dynamic range compression method of the full figure according to claim 1 in conjunction with Local Phase, feature exist
In before step S400 further include: carry out Linear Mapping to full figure and part ROI according to formula (4) and respectively obtain the 8 of full figure
8 bit images of bit image and part ROI, formula (4) are as follows:
Y8=G × Y+B (4)
Wherein, when Y8 is 8 bit image of full figure, G is full figure contrast value, and B is full figure brightness value, and Y is former full graphics image；
When Y8 is 8 bit image of part ROI, G is part ROI contrast value, and B is part ROI brightness value, and Y is original part ROI
Image.
7. linearity dynamic range compression method of the full figure according to claim 1 in conjunction with Local Phase, feature exist
In: the default size area is rectangle, circle, ellipse or irregular polygon.
8. linearity dynamic range compression method of the full figure according to claim 1 in conjunction with Local Phase, feature exist
In the step S200 is specifically included:
Using the pixel value of the pixel value of full figure and part ROI as index, selection presetted pixel value range is a gray level, into
And the pixel value of the pixel value of full figure and part ROI is respectively divided into multiple and different gray levels, and count full figure and ROI respectively
Different grey-scale number of pixels, respectively obtain full figure histogram and part ROI histogram.
9. linearity dynamic range compressing system of the full figure in conjunction with Local Phase, it is characterised in that: including region obtain module,
Index module, computing module and output module；
The region obtains module for choosing any point on full figure, centered on the point, chooses default size area conduct
Local ROI, and the dynamic range of the full figure and part ROI is obtained respectively；
The index module is used for using the pixel value of the pixel value of full figure and part ROI as index, and counts different grey-scale
Number of pixels, respectively obtain full figure histogram and part ROI histogram；
The computing module is for calculating separately full graphics image pixel weighted average and local ROI image pixel weighted average
Then value calculates contrast value and brightness value according to formula (1), (2) and (3):
G=G0/ (nMax-nMin+nComp) (1)
B=B0-G × Y16 (3)
Wherein, when G is full figure contrast value, and B is full figure brightness value, G0 is that full figure presets contrast desired value, and B0 is full figure
Predetermined luminance desired value, nMax are full figure pixel maximum, and nMin is full figure pixel minimum, and Y16 is that the weighting of full figure pixel is flat
Mean value, nComp are grey level compensation amount；
When G is part ROI contrast value, and B is part ROI brightness value, G0 is that part ROI presets contrast desired value, and B0 is
Local ROI predetermined luminance desired value, nMax are part ROI pixel maximum, and nMin is part ROI pixel minimum, and Y16 is office
Portion ROI pixel weighted average, nComp are part ROI grey level compensation amount；
The output module is used to be overlapped output target image according to the default weight proportion of full figure and part ROI.
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