CN109141832A - The measurement method of mtf value in a kind of pick-up lens performance - Google Patents
The measurement method of mtf value in a kind of pick-up lens performance Download PDFInfo
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Abstract
The measurement method of mtf value in a kind of pick-up lens performance includes the following steps: 1. to be tested the original image that camera obtains MTF test card；2. the image of the original image of an obtaining step 1. wherein frame is as test image；3. carrying out any median radius filtering processing according to formula 1 to 2. test image that step obtains；G(x, y)=med { f (x-k, y-l), (k, l ∈ W) }, formula 1；Wherein f (x, y), g (x, y) are respectively image after original image and processing, and W is two dimension pattern plate, are 5 × 5 regions；4. after calculating average value, calculating mtf value according to formula 2 and formula 3 to the pixel value for extracting at least five data block in step 3. treated image；M=(Imax-Imin)/(Imax+Imin), formula 2；MTF=M '/M, formula 3；Wherein Imax: maximum brightness value, Imin: minimum luminance value, M ': as modulation degree, M: the modulation degree of colour atla.
Description
Technical field
The invention belongs to image procossing testing field, the measurement side of mtf value in specifically a kind of pick-up lens performance
Method.
Background technique
MTF (Modulation Transfer Function) is exactly sinusoidal signal by after camera lens, its modulation degree
Variation is the function of sinusoidal signal spatial frequency, this function is known as modulation transfer function.The distance of two adjacent maximum values
It is the space periodic of sinusoidal grating, unit is millimeter.The inverse of space periodic is exactly spatial frequency, unit be line it is right/millimeter.Just
The difference of string grating high light and most dark place reflects the contrast of figure.Modulation degree is between 0 and 1.Modulation degree is bigger,
Mean that contrast is bigger.When maximum brightness and minimum brightness are essentially equal, contrast is completely disappeared, and modulation degree at this moment is equal to 0.
MTF value must be between 0 and 1, and the closer 1, performance of camera lens is better.
The measurement result of a camera lens such as table 1 by existing MTF technology to colour temperature between 5000-6800K, and shape
At middle MTF numerical value-colour temperature X-Y scheme of such as Fig. 1.
| Colour temperature (K) | 5000 | 5050 | 5100 | 5200 | 5300 | 5400 | 5500 | 5600 |
| MTF numerical value | 0.89 | 0.78 | 0.91 | 0.94 | 0.89 | 0.91 | 0.92 | 0.92 |
| Colour temperature (K) | 5700 | 5800 | 5900 | 6000 | 6100 | 6200 | 6300 | 6400 |
| MTF numerical value | 0.91 | 0.92 | 0.91 | 0.92 | 0.89 | 0.92 | 0.93 | 0.9 |
| Colour temperature (K) | 6500 | 6550 | 6600 | 6650 | 6700 | 6750 | 6800 | |
| MTF numerical value | 0.91 | 0.92 | 0.89 | 0.88 | 0.95 | 0.9 | 0.92 |
The measurement result of a camera lens such as table 2 by existing MTF technology to light intensity between 350-440Lx, and shape
At middle MTF numerical value-light intensity X-Y scheme of such as Fig. 2.
| Light intensity (Lx) | 350 | 355 | 360 | 365 | 370 | 375 | 380 | 390 |
| MTF numerical value | 0.91 | 0.82 | 0.9 | 0.95 | 0.94 | 0.91 | 0.88 | 0.92 |
| Light intensity (Lx) | 400 | 410 | 420 | 425 | 430 | 435 | 440 | |
| MTF numerical value | 0.91 | 0.91 | 0.93 | 0.88 | 0.89 | 0.95 | 0.94 |
By Fig. 1, it can be seen that mtf value is relatively stable and accurate when colour temperature is between 5100K-6500K, but
Between 5000K-5100K, between 6500K-6800K when, mtf value fluctuation it is larger, accuracy is decreased obviously.
Can occasionally it be found out by Fig. 2, when light intensity is between 360Lx-420Lx, mtf value is relatively stable and accurate, but
Between 350Lx-360Lx, between 420Lx-440Lx when, mtf value fluctuation it is larger, accuracy is decreased obviously.
Summary of the invention
The present invention provides a kind of measurement method of mtf value in pick-up lens performance, to solve defect in the prior art.
The present invention is achieved by the following technical programs:
The measurement method of mtf value in a kind of pick-up lens performance includes the following steps: that being 1. tested camera obtains MTF test
The original image of card；2. the image of the original image of an obtaining step 1. wherein frame is as test image；3. 2. being obtained to step
The test image taken carries out any median radius filtering processing according to formula 1；G(x, y)=med { f (x-k, y-l), (k, l ∈
W) }, formula 1；Wherein f (x, y), g (x, y) are respectively image after original image and processing, and W is two dimension pattern plate, are 5th × 5 area
Domain；4. to the pixel value for extracting at least five data block in step 3. treated image, after calculating average value, according to formula
2 and formula 3 calculate mtf value；M=(Imax-Imin)/(Imax+Imin), formula 2；MTF=M '/M, formula 3；Wherein
Imax: maximum brightness value, Imin: minimum luminance value, M ': as modulation degree, M: the modulation degree of colour atla.
The step 4. in extract 9 data blocks pixel value.
The step 4. in extracting method be at diagonal line in test image on averagely extract the picture of data block
Element value.
The invention has the advantages that the present invention increases any median radius filtering on the basis of existing technology.This skill
Art take full advantage of before data, exchange the time for space, reduce MTF to detection environmental stability requirement.It is expanding
In the range of colour temperature and light intensity, colour temperature minimum value is reduced to 5000K by 5100K, and maximum value is raised to 6800K by 6500K, light intensity by
Minimum value is reduced to 350 Lx by 360Lx, and maximum value is raised to 440Lx by 420 Lx, and the accuracy of MTF data can still be maintained
Stability and accuracy.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without any creative labor, can be with
It obtains other drawings based on these drawings.
Fig. 1 is middle MTF numerical value-colour temperature X-Y scheme in the prior art；
Fig. 2 is MTF numerical value-light intensity X-Y scheme in the prior art；
Fig. 3 is to obtain test image under one neutral color temperature of embodiment and light-intensity conditions；
Fig. 4 is to carry out the image that any median radius is filtered in embodiment one；
Fig. 5 is to obtain test image under two neutral color temperature of embodiment and light-intensity conditions；
Fig. 6 is to carry out the image that any median radius is filtered in embodiment two；
Fig. 7 is to obtain test image under three neutral color temperature of embodiment and light-intensity conditions；
Fig. 8 is to carry out the image that any median radius is filtered in embodiment three；
Fig. 9 is to obtain test image under example IV neutral color temperature and light-intensity conditions；
Figure 10 is to carry out the image that any median radius is filtered in example IV；
Figure 11 is to obtain test image under five neutral color temperature of embodiment and light-intensity conditions；
Figure 12 is to carry out the image that any median radius is filtered in embodiment five；
Figure 13 is to obtain test image under six neutral color temperature of embodiment and light-intensity conditions；
Figure 14 is to carry out the image that any median radius is filtered in embodiment six；
Figure 15 is to obtain test image under seven neutral color temperature of embodiment and light-intensity conditions；
Figure 16 is to carry out the image that any median radius is filtered in embodiment seven；
Figure 17 is to obtain test image under eight neutral color temperature of embodiment and light-intensity conditions；
Figure 18 is to carry out the image that any median radius is filtered in embodiment eight；
Figure 19 is that two step of the application nonlinear digital filter executes the update of the row hisgram on right side in schematic diagram by subtracting most
Top and plus lowest part Pixel Information acquisition；
Figure 20 be two step of the application nonlinear digital filter execute schematic diagram center histogram update by subtract the leftmost side and
Add rightmost side row hisgram information acquisition.
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 embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Embodiment one: 5000 ± 2K of colour temperature, 395 ± 1 Lx of light intensity.
The measurement method of mtf value in a kind of pick-up lens performance includes the following steps: that being 1. tested camera obtains MTF
The original image of test card；2. the original image of obtaining step 1. is under conditions of 5000 ± 2K of colour temperature, 395 ± 1 Lx of light intensity
Test image is obtained, as shown in Figure 3；3. carrying out any median radius filtering according to formula 1 to 2. test image that step obtains
Processing, obtains Fig. 4；G(x, y)=med { f (x-k, y-l), (k, l ∈ W) }, formula 1；Wherein f (x, y), g (x, y) are respectively
Image after original image and processing, W is two dimension pattern plate, is 5 × 5 regions；4. to extracting 9 in step 3. treated image
The pixel value of data block after calculating average value, calculates mtf value according to formula 2 and formula 3； M=(Imax-Imin)/(Imax+
Imin), formula 2；MTF=M '/M, formula 3；Wherein Imax: maximum brightness value, numerical value: 249；Imin: minimum luminance value,
Numerical value: 21；M ': as modulation degree, numerical value: 0.89；M: the modulation degree of colour atla, numerical value: 0.90；MTF is 0.94.
Embodiment two: 5150 ± 2K of colour temperature, 395 ± 1 Lx of light intensity.Step is the same as example 1, different for original graph
As obtaining test image under conditions of 5150 ± 2K of colour temperature, 395 ± 1 Lx of light intensity, as shown in Figure 5；Value filtering processing, obtains
Fig. 6；Imax: maximum brightness value, numerical value: 251；Imin: minimum luminance value, numerical value: 22；M ': as modulation degree, numerical value: 0.84；
M: the modulation degree of colour atla, numerical value: 0.90；Average MTF: 0.93.
Embodiment three: colour temperature 6600K ± 2K, 395 ± 1 Lx of light intensity.Step is the same as example 1, and different is original
Image obtains test image under conditions of ± 2 K of colour temperature 6600K, 395 ± 1 Lx of light intensity, as shown in Figure 7；Value filtering processing,
Obtain Fig. 8；Imax: maximum brightness value, numerical value: 249；Imin: minimum luminance value, numerical value: 20；M ': as modulation degree, numerical value:
0.85；M: the modulation degree of colour atla, numerical value: 0.90；MTF : 0.95.
Example IV: ± 2 K of colour temperature 6800K, 395 ± 1 Lx of light intensity.Step is the same as example 1, and different is original
Image obtains test image under conditions of ± 2 K of colour temperature 6800K, 395 ± 1 Lx of light intensity, as shown in Figure 9；Value filtering processing,
Obtain Figure 10；Imax: maximum brightness value, numerical value: 249；Imin: minimum luminance value, numerical value: 19；M ': as modulation degree, numerical value:
0.85；M: the modulation degree of colour atla, numerical value: 0.90；MTF : 0.95.
Embodiment five: 5900 ± 2 K of colour temperature, 350 ± 1 Lx of light intensity.Step is the same as example 1, and different is original
Image obtains test image under conditions of 5900 ± 2 K of colour temperature, 350 ± 1 Lx of light intensity, as shown in figure 11；Value filtering processing,
Obtain Figure 12；Imax: maximum brightness value, numerical value: 244；Imin: minimum luminance value, numerical value: 19；M ': as modulation degree, numerical value:
0.86；M: the modulation degree of colour atla, numerical value: 0.90；MTF : 0.95.
Embodiment six: 5900 ± 2 K of colour temperature, 370 ± 1 Lx of light intensity.Step is the same as example 1, and different is original
Image obtains test image under conditions of 5900 ± 2 K of colour temperature, 370 ± 1 Lx of light intensity, as shown in figure 13；Value filtering processing,
Obtain Figure 14；Imax: maximum brightness value, numerical value: 249；Imin: minimum luminance value, numerical value: 21；M ': as modulation degree, numerical value:
0.84；M: the modulation degree of colour atla, numerical value: 0.90；MTF : 0.94.
Embodiment seven: 5900 ± 2 K of colour temperature, 430 ± 1 Lx of light intensity.Step is the same as example 1, and different is original
Image obtains test image under conditions of 5900 ± 2 K of colour temperature, 430 ± 1 Lx of light intensity, as shown in figure 15；Value filtering processing,
Obtain Figure 16；Imax: maximum brightness value, numerical value: 252；Imin: minimum luminance value, numerical value: 21；M ': as modulation degree, numerical value:
0.85；M: the modulation degree of colour atla, numerical value: 0.90；MTF : 0.94.
Embodiment eight: 5900 ± 2 K of colour temperature, 440 ± 1 Lx of light intensity.Step is the same as example 1, and different is original
Image obtains test image under conditions of 5900 ± 2 K of colour temperature, 440 ± 1 Lx of light intensity, as shown in figure 17；Value filtering processing,
Obtain Figure 18；Imax: maximum brightness value, numerical value: 252；Imin: minimum luminance value, numerical value: 20；M ': as modulation degree, numerical value:
0.85；M: the modulation degree of colour atla, numerical value: 0.90；MTF : 0.95.
In image procossing, median filtering is a kind of nonlinear digital filter technology, be frequently used for removal image or
Noise in other signals.This design philosophy is exactly to check the sampling in input signal and judge whether it represents signal,
This functionality is realized using the observation window that odd-numbered samples form.Numerical value in watch window is ranked up, and is located in observation window
Between intermediate value as output.Then, earliest value is abandoned, new sampling is obtained, repeats calculating process above.
The excessive processing time serious use for having limited median filter.Due to the non-linear of its technology and can not
The common optimisation technique of separation property is simultaneously improper.The step of most original is exactly a list for obtaining image pixel, is then carried out
Sequence, then takes intermediate value.In a general case, the complexity of the technology is O (r2logr), and wherein r is the radius of core.Work as picture
When the possibility value of element is constant, for example for 8 bit images, bucket sort can be used, the sequence so that technology complexity
It is reduced to O (r2).But except in the case of minor radius, such improvement is unacceptable.
In the application, firstly, for each column image, a histogram all is safeguarded for it, in entire treatment process,
These histogram datas must be all maintained.Every row hisgram has accumulated the information of 2r+1 vertically adjacent pixels,
When initial, this 2r+1 pixel is respectively centered on each pixel of the first row.The histogram of core passes through accumulation 2r+
1 adjacent row hisgram data acquisition.Core histogram resolves into the set of his corresponding row hisgram, in the mistake entirely filtered
Cheng Zhong, these histogram datas keep newest with the constant time in two steps.
The case where consideration moves right a pixel from some pixel.For current line, the row hisgram of the core rightmost side is first
It first needs to update, and the data in the row hisgram of the column are still calculated centered on that pixel of lastrow corresponding position at this time
's.Therefore it needs to subtract the corresponding histogram of a most upper pixel and then adds the histogram information of a pixel below.This
Row hisgram data are exactly reduced a line by the effect that sample is done.This step it is clear that a O (1) operate, only once addition and
Subtraction, and it is unrelated with radius r.
Second step updates core histogram, is the sum of 2r+1 row hisgram.This is the column histogram by subtracting the leftmost side
Then diagram data is obtained along with the row hisgram data of that column handled by the first step.This step is also O (1) behaviour
Make, as illustrated in figures 19 and 20.As previously mentioned, addition, subtraction and to calculate the time-consuming of intermediate value of histogram be all some dependences
In the calculating of image locating depth, and it is unrelated with filter radius.
Above-mentioned actual effect is exactly that core histogram moves right, and row hisgram moves down.In calculating, each picture
Element need to only access once, and be added in a histogram data.In this way, final step is exactly to calculate intermediate value.
In conclusion all single pixel operations are all O (1) operations.In initialization operation, that is, pass through r row before accumulating
Data come calculate row hisgram and from preceding r row hisgram data calculate first pixel core histogram.This process is
A O (R) operation.In addition, being moved to next line from a line also occupies another O (R) operation.However, since this is initial
Change operation to every row Exactly-once, for other are calculated, this be can be ignored.
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 (3)
1. the measurement method of mtf value in a kind of pick-up lens performance, it is characterised in that: include the following steps: 1. to be tested camera shooting
Head obtains the original image of MTF test card；2. the image of the original image of an obtaining step 1. wherein frame is as test image；
3. carrying out any median radius filtering processing according to formula 1 to 2. test image that step obtains；G(x, y)=med f (x-k,
Y-l), (k, l ∈ W) }, formula 1；Wherein f (x, y), g (x, y) are respectively image after original image and processing, and W is two-dimentional mould
Plate is 5 × 5 regions；4. calculating average value to the pixel value for extracting at least five data block in step 3. treated image
Afterwards, mtf value is calculated according to formula 2 and formula 3；M=(Imax-Imin)/(Imax+Imin), formula 2；MTF=M '/M, it is public
Formula 3；Wherein Imax: maximum brightness value, Imin: minimum luminance value, M ': as modulation degree, M: the modulation degree of colour atla.
2. the measurement method of mtf value in a kind of pick-up lens performance according to claim 1, it is characterised in that: described
Step 4. in extract 9 data blocks pixel value.
3. the measurement method of mtf value in a kind of pick-up lens performance according to claim 1, it is characterised in that: described
Step 4. in extracting method be at diagonal line in test image on averagely extract the pixel value of data block.
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