CN104967840A - Video image standard exceeding detection method and device - Google Patents
Video image standard exceeding detection method and device Download PDFInfo
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Abstract
The invention provides a video image standard exceeding detection method and a device. A YUV pixel value of the video image is acquired; the YUV pixel value is converted into a level value according to a standard conversion formula; the number of standard exceeding points of a brightness signal Y and the number of standard exceeding points of a chroma signal UV are counted, and ratios of the standard exceeding point number of the brightness signal Y and the standard exceeding point number of the chroma signal UV to the video image pixel point number are calculated; if any ratio exceeds a preset first threshold, the detection result of the time is that the video image exceeds the standards. According to the embodiment of the invention, the YUV pixel value is converted into the level value in a standard conversion formula, the ratios of the standard exceeding point number of the brightness signal Y and the standard exceeding point number of the chroma signal UV to the video image pixel point number are calculated respectively, whether the video image exceeds the standards is judged, and compared with the prior art, accuracy is higher.
Description
Technical field
The application relates to video image technical field, particularly relates to a kind of video image and to exceed standard detection method and device.
Background technology
At present, movie or television program is demand fulfillment relevant industries standard in manufacturing process, and whether whether these standards determine program by technological audit, also, can meet broadcast condition.It is very vivid that a lot of program is taken, but often video quality detection exceeds standard, and causes passing through technological audit.
When judging whether program objective quality meets industry standard, the existing detection that exceeds standard is only simply YCbCr territory is transformed into YUV territory, and carry out by calculating corresponding simulation level value the detection that exceeds standard, adopt and usually cannot judge which frame existence of video exceeds standard in this way exactly.
Prior art deficiency is:
The existing video image detection method accuracy that exceeds standard is lower.
Summary of the invention
The embodiment of the present application proposes a kind of video image and to exceed standard detection method and device, to exceed standard the lower technical problem of detection method accuracy to solve video image in prior art.
The embodiment of the present application provides a kind of video image and to exceed standard detection method, comprises the steps:
Obtain the YUV pixel value of video image;
Described YUV pixel value is converted to YUV level value;
A quantity C that exceeds standard for statistics brightness signal Y
ywith a quantity C that exceeds standard of carrier chrominance signal UV
uV, and calculate described C
ywith described video image pixel quantity C
iratio R
y, and described C
uVwith described C
iratio R
uV;
When the ratio of any one exceedes preset first threshold value in brightness signal Y, carrier chrominance signal UV, determine that this testing result is that described video image exceeds standard.
The embodiment of the present application provides a kind of video image and to exceed standard checkout gear, comprising:
Acquisition module, for obtaining the YUV pixel value of video image;
First modular converter, for being converted to YUV level value by described YUV pixel value;
First computing module, for adding up a quantity C that exceeds standard for brightness signal Y
ywith a quantity C that exceeds standard of carrier chrominance signal UV
uV, and calculate described C
ywith described video image pixel quantity C
iratio R
y, and described C
uVwith described C
iratio R
uV;
First determination module, for when the ratio of any one exceedes preset first threshold value in brightness signal Y, carrier chrominance signal UV, determines that this testing result is that described video image exceeds standard.
Beneficial effect is as follows:
The video image that the embodiment of the present application provides exceeds standard detection method and device, and the YUV pixel value got is converted to YUV level value, a quantity C that exceeds standard for statistics brightness signal Y
y, carrier chrominance signal UV a quantity C that exceeds standard
uv, and calculate described C
ywith described video image pixel quantity C
iratio and described C
uvwith described C
iratio, when the ratio of any one exceedes preset first threshold value in brightness signal Y, carrier chrominance signal UV, determine that this testing result is that described video image exceeds standard.Due in the embodiment of the present application be YUV pixel value is converted to level value after calculate the ratio of exceed standard a quantity and described video image pixel quantity of brightness signal Y, carrier chrominance signal UV more respectively, judge whether described video image exceeds standard, and accuracy is higher compared to existing technology.
Accompanying drawing explanation
The specific embodiment of the application is described below with reference to accompanying drawings, wherein:
Fig. 1 show video image in the embodiment of the present application exceed standard detection method implement schematic flow sheet one;
Fig. 2 shows the hardware circuit diagram of five rank analog filters corresponding to the embodiment of the present application Plays;
Fig. 3 show video image in the embodiment of the present application exceed standard detection method implement schematic flow sheet two;
Fig. 4 show video image in the embodiment of the present application exceed standard detection method implement schematic flow sheet three;
Fig. 5 shows video image in the embodiment of the present application and to exceed standard the structural representation of checkout gear.
Embodiment
In order to the technical scheme and advantage that make the application are clearly understood, be described in more detail below in conjunction with the exemplary embodiment of accompanying drawing to the application, obviously, described embodiment is only a part of embodiment of the application, instead of all embodiments is exhaustive.And when not conflicting, the embodiment in this explanation and the feature in embodiment can be combined with each other.
For the deficiencies in the prior art, the embodiment of the present application proposes a kind of video image and to exceed standard detection method and device, is described below.
Fig. 1 show video image in the embodiment of the present application exceed standard detection method implement schematic flow sheet, as shown in the figure, described method can comprise the steps:
The YUV pixel value of step 101, acquisition video image;
Step 102, described YUV pixel value is converted to YUV level value;
A quantity C that exceeds standard for step 103, statistics brightness signal Y
ywith a quantity C that exceeds standard of carrier chrominance signal UV
uV, and calculate described C
ywith described video image pixel quantity C
iratio R
y, and described C
uVwith described C
iratio R
uV;
Step 104, when the ratio of any one exceedes preset first threshold value in brightness signal Y, carrier chrominance signal UV, determine that this testing result is that described video image exceeds standard.
YUV a kind of colour coding method of adopting by eurovision system, wherein " Y " represents lightness, namely grey decision-making, and what " U " and " V " represented is then colourity, is used to specify the color of pixel.
The standard handovers formula that can provide according to " Rec.ITU-R BT.601-7 " in the embodiment of the present application, is converted to YUV level value by YUV pixel value, can adopts the existing equipments such as digital to analog converter to realize in concrete transfer process.
Owing to being in the embodiment of the present application after described YUV pixel value is converted to YUV level value, the ratio of exceed standard a quantity and described video image pixel quantity of brightness signal Y, carrier chrominance signal UV is calculated respectively for YUV level value, judge whether described video image exceeds standard, accuracy is higher compared to existing technology, and, by by described exceed standard a quantity and the ratio of described video image pixel quantity and comparing of preset first threshold value, can determine whether video image exceeds standard with few amount of calculation, there is stronger real-time.
Further, in order to improve accuracy of detection, can also implement in the following manner.
In enforcement, determine that this testing result is that after described video image exceeds standard, described method can further include described:
Five corresponding for standard rank analog filters are converted to digital filter;
Utilize described digital filter to carry out filtering to described YUV level value, and calculate the ratio of exceed standard a quantity and described video image pixel quantity of brightness signal Y, carrier chrominance signal UV respectively;
When the ratio of any one exceedes default Second Threshold in brightness signal Y, carrier chrominance signal UV, determine that this testing result is that described video image exceeds standard further.
Fig. 2 shows the hardware circuit diagram of five rank analog filters corresponding to standard, generally these high-frequency signals can not be considered when judging whether video image exceeds standard, therefore need accurately to filter out, this analog filter can the effective high-frequency signal such as filtering image border, picture noise.
Signal analog filtering continuous in time processes, and signal digital signal discrete on the time processes.No matter the data processed in the embodiment of the present application are the pixel values of image, or are discrete signal by the level value that pixel value obtains, and therefore need to process with digital filter.
Because analog filter is that hardware circuit (as Tyke hardware filter) is expensive, and for needing the task of batch process to be competent at, the embodiment of the present application software simulating function of hardware, five corresponding for standard rank analog filters are converted to five rank digital filters, and ensure that the accuracy of testing result.
In the embodiment of the present application above by calculate described brightness signal Y, carrier chrominance signal UV exceed standard a quantity respectively with described video image pixel quantity C
iratio determine whether to exceed standard after (also can think preliminary judgement), five rank digital filters can also be utilized to carry out filtering (horizontal filtering, longitudinal filtering etc.) to YUV level value, calculate the ratio of exceed standard a quantity and described video image pixel quantity of brightness signal Y, carrier chrominance signal UV again, and the relation of more described ratio and default Second Threshold, determine whether this video image exceeds standard further, improve the precision of detection, guarantee the correctness of testing result.
Inventor notices in invention process:
Prior art is only carry out for yuv data the detection that exceeds standard, and when testing result is not for exceeding standard, may still exist cannot by the situation of examination & verification, and for this reason, the embodiment of the present application can also be implemented in the following way.
In enforcement, after the YUV pixel value of described acquisition video image, described method may further include:
Described YUV pixel value is converted to RGB level value;
Add up the quantity that exceeds standard of exceed standard a quantity and blue B signal of a quantity that exceeds standard of red R signal, green G-signal, and calculate the ratio of a quantity and described video image pixel quantity that exceeds standard of described red R, the ratio of exceed standard a quantity and described video image pixel quantity of green G and the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal;
When the ratio of any one exceedes default 3rd threshold value in hot R, green G, blue B signal, determine that this testing result is that described video image exceeds standard.
The YUV pixel value got can be converted to YUV level value and RGB level value in the embodiment of the present application, carry out RGB and YUV simultaneously and to exceed standard detection, guarantee that the quality of video image meets industry standard, disposablely pass through technological audit.
In enforcement, determine that this testing result is that after described video image exceeds standard, described method may further include described:
Five corresponding for standard rank analog filters are converted to digital filter;
Utilize described digital filter to carry out filtering to described RGB level value, and calculate the ratio of a quantity and described video image pixel quantity that exceeds standard of described red R, the ratio of exceed standard a quantity and described video image pixel quantity of green G and the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal;
When the ratio of any one exceedes default 4th threshold value in hot R, green G, blue B signal, determine that this testing result is that described video image exceeds standard further.
In the embodiment of the present application above by calculating red R, green G, the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal determines whether to exceed standard after (also can think preliminary judgement), five rank digital filters can also be utilized to carry out filtering (horizontal filtering to RGB level value, longitudinal filtering etc.), calculate red R again, green G, the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal, and more described ratio and the relation presetting the 4th threshold value, determine whether this video image exceeds standard further, improve the precision of detection, guarantee the correctness of testing result.
In enforcement, described described YUV digital signal is converted to RGB level value, concrete conversion formula can be:
Y
level=(Y
pixel-16)/219;
U
level=(U
pixel-128)/224;
V
level=(V
pixel-128)/224;
R
level=Y
level+ 1.5748V
level;
G
level=Y
level-0.468V
level-0.187U
level;
B
level=Y
level+ 1.8556U
level.
Fig. 3 show YUV in the embodiment of the present application exceed standard detect schematic flow sheet, YUV exceed standard detect flow process can comprise the steps:
Step 301, YUV pixel value are converted to YUV level value;
Step 302, calculate Y/UV and to exceed standard the ratio of a quantity and video image pixel quantity;
Step 303, judge whether any one is greater than 0.8%:
If the ratio that there is at least one parameter is greater than 0.8%, then perform step 304;
If be all less than 0.8%, then not think and exceed standard.
Step 304, five rank analog filters are converted to digital filter;
Step 305, calculate Y/UV and to exceed standard the ratio of a quantity and video image pixel quantity;
Step 306, judge whether any one is greater than 1%:
If the ratio that there is at least one parameter is greater than 1%, then thinks and exceed standard;
Otherwise, do not exceed standard.
Owing to being, by standard handovers formula, YUV pixel value is converted to YUV level value in the embodiment of the present application, and calculate the ratio of exceed standard a quantity and described video image pixel quantity of brightness signal Y, carrier chrominance signal UV respectively, tentatively judge whether described video image exceeds standard, the digital filter secondary of recycling standard handovers judges whether described video image exceeds standard, and accuracy is higher compared to existing technology.
Fig. 4 shows RGB in the embodiment of the present application and to exceed standard the schematic flow sheet detected, and as shown in the figure, the RGB testing process that exceeds standard can comprise the steps:
Step 401, YUV pixel value are converted to YUV level value;
Step 402, YUV level value are converted to RGB level value;
Step 403, calculate the ratio of exceed standard a quantity and the video image pixel quantity of R, G, B signal respectively;
Step 404, judge whether any one is greater than 0.8%:
If the ratio that there is at least one parameter is greater than 0.8%, then perform step 405;
If be all less than 0.8%, then not think and exceed standard.
Step 405, five rank analog filters are converted to digital filter;
Step 406, calculate the ratio of exceed standard a quantity and the video image pixel quantity of R, G, B signal respectively;
Step 407, judge whether any one is greater than 1%:
If the ratio that there is at least one parameter is greater than 1%, then thinks and exceed standard;
Otherwise, do not exceed standard.
Owing to being, by standard handovers formula, YUV pixel value is converted to RGB level value in the embodiment of the present application, and calculate the ratio of exceed standard a quantity and the described video image pixel quantity of R, G, B signal respectively, tentatively judge whether described video image exceeds standard, the digital filter secondary of recycling standard handovers judges whether described video image exceeds standard, and accuracy is higher compared to existing technology.
For the ease of the enforcement of the application, be described with example below.
First, video two field picture I is obtained
nthe corresponding former data of YUV; The former data of this YUV also can be called YUV pixel value.
Then, the standard handovers formula provided according to " Rec.ITU-R BT.601-7 ", is transformed into YUV level value and RGB level value by YUV pixel value;
Add up a quantity that exceeds standard of Y, y, UV, uv, R, r, G, g, B, b signal respectively, and calculate Y, y, UV, uv, R, r, G, g, B, b signal exceed standard a quantity respectively with image pixel point quantity I
nratio R
x, x can be Y, y, UV, uv, R, r, G, g, B, b.Wherein, R
y(>=721mv), R
y(<=-7mv), R
uV(>=350mv), R
uv(<=-350mv), R
r(>=735mv), R
r(<=-35mv), R
g(>=735mv), R
g(<=-35mv), R
b(>=735mv), R
b(<=-35mv).
Such as: the level range of Y should between-7mv ~ 721mv, and Y represents the pixel being greater than 721mv, and y represents the pixel being less than-7mv;
R
y(>=721mv) then represents the ratio being greater than 721mv pixel quantity and all pixels of this image in current video image, R
y(<=-7mv) then represents the ratio being less than-7mv pixel quantity and all pixels of this image in current video image.
Other parameters can be understood with reference to above-mentioned example.
Work as R
xwhen being all less than 0.8%, I can be judged
ndo not exceed standard, without the need to carrying out subsequent treatment;
Work as R
xwhen any one is greater than 0.8%, can tentatively judge image I
nexceed standard, now, need I
naccurately judge:
The five rank analog filters that " IEEE Standard 205Measurement of Luminance Signal Levels " is corresponding are converted to digital filter, utilize this digital filter to carry out filtering (laterally, longitudinally) to YUV and RGB respectively, and add up the ratio R exceeded standard shared by a quantity
x, work as R
xwhen being greater than 1%, I
nexceed standard, otherwise, I
ndo not exceed standard.
The embodiment of the present application detects video in strict accordance with EBU R103-2000 standard, and carry out RGB and YUV simultaneously and to exceed standard detection, accurately judge which frame of video exists to exceed standard, but also video is set exceeds standard the anticipation stage, tentatively judge in video, which frame exceeds standard with few amount of calculation, follow-uply only can carry out filtering process (generally filtering is more consuming time) to the two field picture that exceeds standard.The method that the embodiment of the present application provides compared with prior art, real-time is greatly improved by reducing filter amount of calculation, by given video image YUV pixel value, obtain YUV and RGB analog signal level value, statistics exceeds standard a quantity, calculate exceed standard a little with the ratio of image pixel point quantity, tentatively judge whether to exceed standard, if exceeded standard, this view data wave filter, judges further; If do not exceeded standard, namely not think and exceed standard, adopt the scheme that provides of the embodiment of the present application, real-time improves about 7 speeds, guarantees testing result more accurately on basis, has stronger real-time.
In concrete enforcement, can also other multiple optimized algorithms be passed through, improve real-time further, be specifically as follows:
(1) floating-point is to fixed point conversion, also, all floating-point operations in algorithm is converted to integer arithmetic, reduces amount of calculation further, shortens computing time;
(2) table look-up, also, by the predictable calculating in the application's scheme, carry out all in advance calculating result, table look-up when needed and can obtain.
Based on same inventive concept, additionally provide a kind of video image in the embodiment of the present application to exceed standard checkout gear, the principle of dealing with problems due to these equipment and a kind of video image detection method that exceeds standard is similar, and therefore the enforcement of these equipment see the enforcement of method, can repeat part and repeat no more.
Fig. 5 shows video image in the embodiment of the present application and to exceed standard the structural representation of checkout gear, and as shown in the figure, described device can comprise:
Acquisition module 501, for obtaining the YUV pixel value of video image;
First modular converter 502, for being converted to YUV level value by described YUV pixel value;
First computing module 503, for adding up a quantity C that exceeds standard for brightness signal Y
ywith a quantity C that exceeds standard of carrier chrominance signal UV
uV, and calculate described C
ywith described video image pixel quantity C
iratio R
y, and described C
uVwith described C
iratio R
uV;
First determination module 504, for when the ratio of any one exceedes preset first threshold value in brightness signal Y, carrier chrominance signal UV, determines that this testing result is that described video image exceeds standard.
In enforcement, described device may further include:
Five corresponding for standard rank analog filters, for determining that this testing result is after described video image exceeds standard, are converted to digital filter by the first filter modular converter 505;
First filtration module 506, carries out filtering for utilizing described digital filter to described YUV level value;
Second computing module 507, for the ratio of exceed standard a quantity and the described video image pixel quantity of the ratio and carrier chrominance signal UV that calculate exceed standard a quantity and the described video image pixel quantity of brightness signal Y;
Second determination module 508, for when the ratio of any one exceedes default Second Threshold in brightness signal Y, carrier chrominance signal UV, determines that this testing result is that described video image exceeds standard further.
In enforcement, described device may further include:
Second modular converter 509, for after the YUV pixel value of described acquisition video image, is converted to RGB level value by described YUV pixel value;
3rd computing module 510, for adding up the quantity that exceeds standard of exceed standard a quantity and blue B signal of a quantity that exceeds standard of red R signal, green G-signal, and calculate the ratio of a quantity and described video image pixel quantity that exceeds standard of described red R signal, the ratio of exceed standard a quantity and described video image pixel quantity of green G-signal and the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal;
3rd determination module 511, for when the ratio of any one exceedes default 3rd threshold value in hot R, green G, blue B, determines that this testing result is that described video image exceeds standard.
In enforcement, described device may further include:
Five corresponding for standard rank analog filters, for determining that this testing result is after described video image exceeds standard, are converted to digital filter by the second filter modular converter 512;
Second filtration module 513, carries out filtering for utilizing described digital filter to described RGB level value;
4th statistical module 514, for calculating the ratio of a quantity and described video image pixel quantity that exceeds standard of red R signal, the ratio of exceed standard a quantity and described video image pixel quantity of green G-signal and the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal;
4th determination module 515, for when the ratio of any one exceedes default 4th threshold value in hot R, green G, blue B signal, determines that this testing result is that described video image exceeds standard further.
In enforcement, described YUV pixel value can be converted to RGB level value specifically for adopting following conversion formula by described second modular converter 509:
Y
level=(Y
pixel-16)/219;
U
level=(U
pixel-128)/224;
V
level=(V
pixel-128)/224;
R
level=Y
level+ 1.5748V
level;
G
level=Y
level-0.468V
level-0.187U
level;
B
level=Y
level+ 1.8556U
level.
For convenience of description, each several part of the above device is divided into various module or unit to describe respectively with function.Certainly, the function of each module or unit can be realized in same or multiple software or hardware when implementing the application.
In above-described embodiment, existing Functional Unit device blocks all can be adopted to implement.Such as: the components and parts that the first modular converter, the second modular converter all can possess for the equipment possessing signal analog conversion function arbitrarily; First computing module, the second computing module, the 3rd computing module, the 4th computing module are then the components and parts that equipment that any one possesses statistical computation function all possesses; As for, first determination module, the second determination module, the 3rd determination module, the 4th determination module are then that any one possesses passing threshold and compares the components and parts determining that the equipment whether video image exceeds standard function all possesses, and those skilled in the art can be realized by corresponding technological development; And the first filter modular converter, the second filter modular converter are then possess arbitrarily the components and parts that the analog-to-digital equipment of filter all possesses; First filtration module, the second filtration module are then the components and parts that the equipment possessing arbitrarily filter function all possesses, and at least existing filter just possesses such components and parts.
Those skilled in the art should understand, the embodiment of the application can be provided as method, system or computer program.Therefore, the application can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the application can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) of computer usable program code.
The application describes with reference to according to the flow chart of the method for the embodiment of the present application, equipment (system) and computer program and/or block diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can being provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computer or other programmable data processing device produce device for realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
Although described the preferred embodiment of the application, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the application's scope.
Claims (10)
1. video image exceeds standard a detection method, it is characterized in that, comprises the steps:
Obtain the YUV pixel value of video image;
Described YUV pixel value is converted to YUV level value;
A quantity C that exceeds standard for statistics brightness signal Y
ywith a quantity C that exceeds standard of carrier chrominance signal UV
uV, and calculate described C
ywith described video image pixel quantity C
iratio R
y, and described C
uVwith described C
iratio R
uV;
When the ratio of any one exceedes preset first threshold value in brightness signal Y, carrier chrominance signal UV, determine that this testing result is that described video image exceeds standard.
2. the method for claim 1, is characterized in that, determines that this testing result is, after described video image exceeds standard, comprise further described:
Five corresponding for standard rank analog filters are converted to digital filter;
Utilize described digital filter to carry out filtering to described YUV level value, and calculate the ratio of the ratio of exceed standard a quantity and the described video image pixel quantity of brightness signal Y and exceed standard a quantity and the described video image pixel quantity of carrier chrominance signal UV;
When the ratio of any one exceedes default Second Threshold in brightness signal Y, carrier chrominance signal UV, determine that this testing result is that described video image exceeds standard further.
3. the method for claim 1, is characterized in that, after the YUV pixel value of described acquisition video image, comprises further:
Described YUV pixel value is converted to RGB level value;
Add up the quantity that exceeds standard of exceed standard a quantity and blue B signal of a quantity that exceeds standard of red R signal, green G-signal, and calculate the ratio of a quantity and described video image pixel quantity that exceeds standard of described red R signal, the ratio of exceed standard a quantity and described video image pixel quantity of green G-signal and the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal;
When the ratio of any one exceedes default 3rd threshold value in hot R, green G, blue B signal, determine that this testing result is that described video image exceeds standard.
4. method as claimed in claim 3, is characterized in that, determine that this testing result is, after described video image exceeds standard, comprise further described:
Five corresponding for standard rank analog filters are converted to digital filter;
Utilize described digital filter to carry out filtering to described RGB level value, and calculate the ratio of a quantity and described video image pixel quantity that exceeds standard of red R signal, the ratio of exceed standard a quantity and described video image pixel quantity of green G-signal and the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal;
When the ratio of any one exceedes default 4th threshold value in hot R, green G, blue B signal, determine that this testing result is that described video image exceeds standard further.
5. method as claimed in claim 3, is characterized in that, described described YUV pixel value is converted to RGB level value, and concrete conversion formula is:
Y
level=(Y
pixel-16)/219;
U
level=(U
henan element-128)/224;
V
level=(V
pixel-128)/224;
R
level=Y
level+ 1.5748V
level;
G
level=Y
level-0.468V
level-0.187U
level;
B
level=Y
level+ 1.8556U
level.
6. video image exceeds standard a checkout gear, it is characterized in that, comprising:
Acquisition module, for obtaining the YUV pixel value of video image;
First modular converter, for being converted to YUV level value by described YUV pixel value;
First computing module, for adding up a quantity C that exceeds standard for brightness signal Y
ywith a quantity C that exceeds standard of carrier chrominance signal UV
uV, and calculate described C
ywith described video image pixel quantity C
iratio R
y, and described C
uVwith described C
iratio R
uV;
First determination module, for when the ratio of any one exceedes preset first threshold value in brightness signal Y, carrier chrominance signal UV, determines that this testing result is that described video image exceeds standard.
7. device as claimed in claim 6, it is characterized in that, described device comprises further:
Five corresponding for standard rank analog filters, for determining that this testing result is after described video image exceeds standard, are converted to digital filter by the first filter modular converter;
First filtration module, carries out filtering for utilizing described digital filter to described YUV level value;
Second computing module, for the ratio of exceed standard a quantity and the described video image pixel quantity of the ratio and carrier chrominance signal UV that calculate exceed standard a quantity and the described video image pixel quantity of brightness signal Y;
Second determination module, for when the ratio of any one exceedes default Second Threshold in brightness signal Y, carrier chrominance signal UV, determines that this testing result is that described video image exceeds standard further.
8. device as claimed in claim 6, it is characterized in that, described device comprises further:
Second modular converter, for after the YUV pixel value of described acquisition video image, is converted to RGB level value by described YUV pixel value;
3rd computing module, for adding up the quantity that exceeds standard of exceed standard a quantity and blue B signal of a quantity that exceeds standard of red R signal, green G-signal, and calculate the ratio of a quantity and described video image pixel quantity that exceeds standard of described red R signal, the ratio of exceed standard a quantity and described video image pixel quantity of green G-signal and the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal;
3rd determination module, for when the ratio of any one exceedes default 3rd threshold value in hot R, green G, blue B, determines that this testing result is that described video image exceeds standard.
9. device as claimed in claim 8, it is characterized in that, described device comprises further:
Five corresponding for standard rank analog filters, for determining that this testing result is after described video image exceeds standard, are converted to digital filter by the second filter modular converter;
Second filtration module, carries out filtering for utilizing described digital filter to described RGB level value;
4th computing module, for calculating the ratio of a quantity and described video image pixel quantity that exceeds standard of red R signal, the ratio of exceed standard a quantity and described video image pixel quantity of green G-signal and the ratio of exceed standard a quantity and the described video image pixel quantity of blue B signal;
4th determination module, for when the ratio of any one exceedes default 4th threshold value in hot R, green G, blue B signal, determines that this testing result is that described video image exceeds standard further.
10. device as claimed in claim 8, it is characterized in that, described YUV pixel value is converted to RGB level value specifically for adopting following conversion formula by described second modular converter:
Y
level=(Y
henan element-16)/219;
U
level=(U
pixel-128)/224;
V
level=(V
pixel-128)/224;
R
level=Y
level+ 1.5748V
level;
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