CN109685734A - High sharpness video acquisition interface and method - Google Patents
High sharpness video acquisition interface and method Download PDFInfo
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- CN109685734A CN109685734A CN201811566233.2A CN201811566233A CN109685734A CN 109685734 A CN109685734 A CN 109685734A CN 201811566233 A CN201811566233 A CN 201811566233A CN 109685734 A CN109685734 A CN 109685734A
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 239000000428 dust Substances 0.000 claims abstract description 112
- 238000012545 processing Methods 0.000 claims description 56
- 238000001914 filtration Methods 0.000 claims description 40
- 239000004615 ingredient Substances 0.000 claims description 12
- 230000002787 reinforcement Effects 0.000 claims description 12
- 238000000605 extraction Methods 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims 2
- 230000001934 delay Effects 0.000 claims 2
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 230000003111 delayed effect Effects 0.000 claims 1
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- 238000005516 engineering process Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 230000001360 synchronised effect Effects 0.000 description 4
- 230000019771 cognition Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000007812 deficiency Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
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- 238000004364 calculation method Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/765—Interface circuits between an apparatus for recording and another apparatus
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Abstract
The present invention relates to a kind of high sharpness video acquisition interfaces, comprising: video acquisition main structure, including image zooming-out equipment, row caching write control equipment, even number line buffer memory device and odd-numbered line buffer memory device；The even number line buffer memory device and the odd-numbered line buffer memory device all use the storage of big data memory module execution data；In the video acquisition main structure, described image extract equipment is write control equipment with row caching and is connect, and the row caching is write control equipment and connect respectively with the even number line buffer memory device and the odd-numbered line buffer memory device；The inside of image zooming-out equipment is arranged in live cleaner, for executing the dust removal operation to the inside of described image extract equipment when the internal dust concentration reference value is more than preset concentration threshold value.The invention further relates to a kind of high sharpness video acquisition methods.Through the invention, while reducing system overall power, the efficiency of dust collection inside equipment is improved.
Description
Technical field
The present invention relates to big data field more particularly to a kind of high sharpness video acquisition interfaces and method.
Background technique
Big data includes structuring, semi-structured and unstructured data, and unstructured data increasingly becomes data
Major part.Show according to the survey report of IDC: 80% data are all unstructured datas in enterprise, these data are every year all
Exponentially-increased 60%.
Big data is exactly internet development to a kind of presentation or feature in stage now, using cloud computing as representative
Under the setting off of technological innovation curtain, these data that seems to be difficult to collect originally and use start to be easy to be utilized,
By constantly bringing forth new ideas for all trades and professions, big data gradually can create more values for the mankind.
Summary of the invention
In order to solve the deficiency on video acquisition interface capability in the prior art, the present invention provides a kind of high sharpness videos
Acquisition interface and method even number line buffer memory device and odd-numbered line buffer memory device can be all arranged in video acquisition main structure
System overall power is reduced for the storage for executing data using big data memory module to reduce the memory capacity of field device；
Can also be on the basis of equipment for customizing internal dust measurement mechanism, use site cleaner is for receiving internal dust concentration
Reference value, and when the internal dust concentration reference value is more than preset concentration threshold value, it executes to the dedusting inside the equipment
Operation.
According to an aspect of the present invention, a kind of high sharpness video acquisition interface is provided, the interface includes:
Video acquisition main structure, including image zooming-out equipment, row caching write control equipment, even number line buffer memory device and odd number
Row buffer memory device；
Wherein, the even number line buffer memory device and the odd-numbered line buffer memory device all use big data memory module to execute number
According to storage.
More specifically, in the high sharpness video acquisition interface:
In the video acquisition main structure, described image extract equipment is write control equipment with row caching and is connect；
Wherein, in the video acquisition main structure, the row caching is write control equipment and is cached respectively with the even number line
Equipment is connected with the odd-numbered line buffer memory device.
More specifically, in the high sharpness video acquisition interface, further includes:
The inside of image zooming-out equipment is arranged in live cleaner, connect with dust concentration analytical equipment, for receiving
Internal dust concentration reference value, and when the internal dust concentration reference value is more than preset concentration threshold value, it executes to the figure
As the dust removal operation of the inside of extract equipment；
Multiple dust concentration measuring units, are separately positioned on the inside of described image extract equipment, and the multiple dust is dense
Degree measuring unit matches in the spread geometry of the inside of described image extract equipment and the shape of described image extract equipment, often
One dust concentration measuring unit is used to incude the dust concentration of its position to export as real-time dust concentration；
Multiple electromagnetic exposure measuring units, are respectively set the inside that caching of being expert at writes control equipment, and the multiple electromagnetism is let out
Dew measuring unit caches the shape for writing control equipment in the spread geometry that row caching writes the inside of control equipment with the row
Match, each electromagnetic exposure measuring unit is used to incude the electromagnetic exposure of its position using defeated as real-time electromagnetic exposure
Out；
Dust concentration analytical equipment is connect with the multiple dust concentration measuring unit respectively, the multiple for receiving
Multiple real-time dust concentrations that dust concentration measuring unit exports respectively, and it is flat to execute weighting to the multiple real-time dust concentration
Equal operation is to obtain internal dust concentration reference value；
Electromagnetic exposure analytical equipment is connect with the multiple electromagnetic exposure measuring unit respectively, the multiple for receiving
Multiple real-time electromagnetic exposures that electromagnetic exposure measuring unit exports respectively, and it is flat to execute weighting to the multiple real-time electromagnetic exposure
Equal operation is to obtain internal electromagnetic exposure reference value；
DDR memory device writes the shape of control equipment for row caching to be stored in advance, is also used to that image zooming-out is stored in advance
The shape of equipment；
Front-end processing component is connect with described image extract equipment, the image for extracting in described image extract equipment
It is sent to before the row caching writes control equipment and described image is handled；
Adaptive-filtering equipment is located in the front-end processing component, for receiving the extraction of described image extract equipment
Image executes adaptive-filtering processing to the image that described image extract equipment is extracted, to obtain adaptive-filtering image；
Data sharpening equipment is located in the front-end processing component, connect with the adaptive-filtering equipment, for receiving
The adaptive-filtering image executes data sharpening processing to the adaptive-filtering image, corresponding data sharpening to obtain
Image；
Contrast analyzing device is located in the front-end processing component, connect with the data sharpening equipment, for receiving
The data sharpening image executes contrast parsing operation to the data sharpening image, to obtain the data sharpening image
Contrast using as reference contrast export；
In the contrast analyzing device, contrast parsing operation is executed to the data sharpening image, to obtain
The contrast of data sharpening image is stated to include: to obtain each pixel in the data sharpening image as the output of reference contrast
Each Y signal component value is formed Y ingredient image, determines the contrast and work of the Y ingredient image by each Y signal component value of point
It is exported to be described with reference to contrast；
Parameter compares equipment, is located in the front-end processing component, connect with the contrast analyzing device, for receiving
It is described to refer to contrast, and be compared described with reference to contrast with contrast threshold, to be greater than described with reference to contrast
When equal to the contrast threshold, issues first and compare instruction, when the reference contrast is less than the contrast threshold, hair
Second compare instruction out；
Shade reinforces equipment, is located in the front-end processing component, writes control equipment, institute with row caching respectively
State parameter compare equipment connect with the contrast analyzing device, for receive it is described second compare instruct when, to described
Data sharpening image executes image shade reinforcement processing, reinforces image to obtain level, and the level is reinforced image
It exports and writes control equipment to row caching, be also used to when receiving first control instruction, by the data sharpening figure
Control equipment is write to row caching as exporting as level reinforcement image.
According to another aspect of the present invention, a kind of high sharpness video acquisition method is additionally provided, which comprises
Build video acquisition main structure, the video acquisition main structure for realizing high sharpness video acquisition；
Wherein, the video acquisition main structure includes image zooming-out equipment, row caching writes control equipment, even number line caching is set
Standby and odd-numbered line buffer memory device；
Wherein, the even number line buffer memory device and the odd-numbered line buffer memory device all use big data memory module to execute number
According to storage.
More specifically, in the high sharpness video acquisition method:
In the video acquisition main structure, described image extract equipment is write control equipment with row caching and is connect；
Wherein, in the video acquisition main structure, the row caching is write control equipment and is cached respectively with the even number line
Equipment is connected with the odd-numbered line buffer memory device.
More specifically, in the high sharpness video acquisition method, further includes:
The inside of image zooming-out equipment is arranged in use site cleaner, connect, is used for dust concentration analytical equipment
Internal dust concentration reference value is received, and when the internal dust concentration reference value is more than preset concentration threshold value, is executed to institute
State the dust removal operation of the inside of image zooming-out equipment；
Using multiple dust concentration measuring units, it is separately positioned on the inside of described image extract equipment, the multiple ash
Dust concentration measuring unit is in the spread geometry of the inside of described image extract equipment and the shape phase of described image extract equipment
Match, each dust concentration measuring unit is used to incude the dust concentration of its position to export as real-time dust concentration；
Using multiple electromagnetic exposure measuring units, the inside that caching of being expert at writes control equipment, the multiple electricity is respectively set
Magnetic leakage measuring unit writes the spread geometry of the inside of control equipment in row caching and row caching is write and controls equipment
Shape matches, each electromagnetic exposure measuring unit is used to incude the electromagnetic exposure of its position to let out as real-time electromagnetism
Dew output；
Using dust concentration analytical equipment, it is connect respectively with the multiple dust concentration measuring unit, it is described for receiving
Multiple real-time dust concentrations that multiple dust concentration measuring units export respectively, and the multiple real-time dust concentration is executed and is added
Weight average operation is to obtain internal dust concentration reference value；
Using electromagnetic exposure analytical equipment, it is connect respectively with the multiple electromagnetic exposure measuring unit, it is described for receiving
Multiple real-time electromagnetic exposures that multiple electromagnetic exposure measuring units export respectively, and the multiple real-time electromagnetic exposure is executed and is added
Weight average operation is to obtain internal electromagnetic exposure reference value；
Using DDR memory device, the shape of control equipment is write for row caching to be stored in advance, is also used to that image is stored in advance
The shape of extract equipment；
It using front-end processing component, is connect with described image extract equipment, for what is extracted in described image extract equipment
Image is sent to before the row caching writes control equipment and handles described image；
Using adaptive-filtering equipment, it is located in the front-end processing component, is mentioned for receiving described image extract equipment
The image taken executes adaptive-filtering processing to the image that described image extract equipment is extracted, to obtain adaptive-filtering image；
Using data sharpening equipment, it is located in the front-end processing component, connect, be used for the adaptive-filtering equipment
The adaptive-filtering image is received, data sharpening processing is executed to the adaptive-filtering image, to obtain corresponding data
Sharpening image；
Using contrast analyzing device, it is located in the front-end processing component, connect, be used for the data sharpening equipment
The data sharpening image is received, contrast parsing operation is executed to the data sharpening image, it is described data sharpening to obtain
The contrast of image as reference contrast to export；
In the contrast analyzing device, contrast parsing operation is executed to the data sharpening image, to obtain
The contrast of data sharpening image is stated to include: to obtain each pixel in the data sharpening image as the output of reference contrast
Each Y signal component value is formed Y ingredient image, determines the contrast and work of the Y ingredient image by each Y signal component value of point
It is exported to be described with reference to contrast；
Equipment is compared using parameter, is located in the front-end processing component, is connect, be used for the contrast analyzing device
Receive described with reference to contrast, and be compared described with reference to contrast with contrast threshold, with described with reference to contrast
It when more than or equal to the contrast threshold, issues first and compares instruction, be less than the contrast threshold with reference to contrast described
When, it issues second and compares instruction；
Reinforce equipment using shade, be located in the front-end processing component, writes control with row caching respectively and set
Standby, described parameter compares equipment and connect with the contrast analyzing device, for receive described second compare instruct when, it is right
The data sharpening image executes image shade reinforcement processing, reinforces image to obtain level, and the level is reinforced
Image, which is exported, writes control equipment to row caching, is also used to when receiving first control instruction, and the data are sharp
Change image exports as level reinforcement image and writes control equipment to row caching.
Specific embodiment
The embodiment of high sharpness video acquisition interface and method of the invention will be described in detail below.
Want system cognition big data, it is necessary to comprehensive and careful decomposition he, set about being unfolded from three levels:
The first level is theory, and theory is the necessary approach of cognition, and the baseline accepted and propagated extensively.Herein
Understand that industry describes and qualitative the whole of big data from the characterizing definition of big data；Go deep into from the discussion being worth to big data
Parse the precious place of big data；Know the development trend of big data clearly；It is examined from this special and important visual angle of big data privacy
Depending on the permanent game between people and data.
Second level is technology, and technology is the means of big data value dimension and the foundation stone of advance.Herein respectively from cloud
Calculating, the development of distributed proccessing, memory technology and cognition technology illustrate big data from acquisition, processing, storage to shape
At the whole process of result.
Third level is practice, and practice is that the final value of big data embodies.Herein respectively from the big data of internet,
Describe the fine scene that big data has showed in terms of the big data of government, the big data of enterprise and big data four of individual
And the blueprint that will be realized.
In order to overcome above-mentioned deficiency, the present invention has built a kind of high sharpness video acquisition interface and method, can effectively solve
Certainly corresponding technical problem.
The high sharpness video acquisition interface shown according to an embodiment of the present invention includes:
Video acquisition main structure, including image zooming-out equipment, row caching write control equipment, even number line buffer memory device and odd number
Row buffer memory device；
Wherein, the even number line buffer memory device and the odd-numbered line buffer memory device all use big data memory module to execute number
According to storage.
Then, continue that the specific structure of high sharpness video acquisition interface of the invention is further detailed.
In the high sharpness video acquisition interface:
In the video acquisition main structure, described image extract equipment is write control equipment with row caching and is connect；
Wherein, in the video acquisition main structure, the row caching is write control equipment and is cached respectively with the even number line
Equipment is connected with the odd-numbered line buffer memory device.
Can also include: in the high sharpness video acquisition interface
The inside of image zooming-out equipment is arranged in live cleaner, connect with dust concentration analytical equipment, for receiving
Internal dust concentration reference value, and when the internal dust concentration reference value is more than preset concentration threshold value, it executes to the figure
As the dust removal operation of the inside of extract equipment；
Multiple dust concentration measuring units, are separately positioned on the inside of described image extract equipment, and the multiple dust is dense
Degree measuring unit matches in the spread geometry of the inside of described image extract equipment and the shape of described image extract equipment, often
One dust concentration measuring unit is used to incude the dust concentration of its position to export as real-time dust concentration；
Multiple electromagnetic exposure measuring units, are respectively set the inside that caching of being expert at writes control equipment, and the multiple electromagnetism is let out
Dew measuring unit caches the shape for writing control equipment in the spread geometry that row caching writes the inside of control equipment with the row
Match, each electromagnetic exposure measuring unit is used to incude the electromagnetic exposure of its position using defeated as real-time electromagnetic exposure
Out；
Dust concentration analytical equipment is connect with the multiple dust concentration measuring unit respectively, the multiple for receiving
Multiple real-time dust concentrations that dust concentration measuring unit exports respectively, and it is flat to execute weighting to the multiple real-time dust concentration
Equal operation is to obtain internal dust concentration reference value；
Electromagnetic exposure analytical equipment is connect with the multiple electromagnetic exposure measuring unit respectively, the multiple for receiving
Multiple real-time electromagnetic exposures that electromagnetic exposure measuring unit exports respectively, and it is flat to execute weighting to the multiple real-time electromagnetic exposure
Equal operation is to obtain internal electromagnetic exposure reference value；
DDR memory device writes the shape of control equipment for row caching to be stored in advance, is also used to that image zooming-out is stored in advance
The shape of equipment；
Front-end processing component is connect with described image extract equipment, the image for extracting in described image extract equipment
It is sent to before the row caching writes control equipment and described image is handled；
Adaptive-filtering equipment is located in the front-end processing component, for receiving the extraction of described image extract equipment
Image executes adaptive-filtering processing to the image that described image extract equipment is extracted, to obtain adaptive-filtering image；
Data sharpening equipment is located in the front-end processing component, connect with the adaptive-filtering equipment, for receiving
The adaptive-filtering image executes data sharpening processing to the adaptive-filtering image, corresponding data sharpening to obtain
Image；
Contrast analyzing device is located in the front-end processing component, connect with the data sharpening equipment, for receiving
The data sharpening image executes contrast parsing operation to the data sharpening image, to obtain the data sharpening image
Contrast using as reference contrast export；
In the contrast analyzing device, contrast parsing operation is executed to the data sharpening image, to obtain
The contrast of data sharpening image is stated to include: to obtain each pixel in the data sharpening image as the output of reference contrast
Each Y signal component value is formed Y ingredient image, determines the contrast and work of the Y ingredient image by each Y signal component value of point
It is exported to be described with reference to contrast；
Parameter compares equipment, is located in the front-end processing component, connect with the contrast analyzing device, for receiving
It is described to refer to contrast, and be compared described with reference to contrast with contrast threshold, to be greater than described with reference to contrast
When equal to the contrast threshold, issues first and compare instruction, when the reference contrast is less than the contrast threshold, hair
Second compare instruction out；
Shade reinforces equipment, is located in the front-end processing component, writes control equipment, institute with row caching respectively
State parameter compare equipment connect with the contrast analyzing device, for receive it is described second compare instruct when, to described
Data sharpening image executes image shade reinforcement processing, reinforces image to obtain level, and the level is reinforced image
It exports and writes control equipment to row caching, be also used to when receiving first control instruction, by the data sharpening figure
Control equipment is write to row caching as exporting as level reinforcement image.
In the high sharpness video acquisition interface:
The multiple electromagnetic exposure measuring unit the row caching write control equipment inside spread geometry with it is described
It includes: to write the position of form center of the shape of control equipment and every in row caching that the shape that row caching writes control equipment, which matches,
A corresponding electromagnetic exposure measuring unit is respectively arranged in one vertex position.
In the high sharpness video acquisition interface:
The spread geometry and described image of inside of the multiple dust concentration measuring unit in described image extract equipment
It includes: position of form center and each vertex position in the shape of described image extract equipment that the shape of extract equipment, which matches,
Respectively one corresponding dust concentration measuring unit of setting；
Wherein, the live cleaner is a deduster for carrying combined filtration piece, dedusting gear with it is described interior
The numerical value of portion's dust concentration reference value is directly proportional.
The high sharpness video acquisition method shown according to an embodiment of the present invention includes:
Build video acquisition main structure, the video acquisition main structure for realizing high sharpness video acquisition；
Wherein, the video acquisition main structure includes image zooming-out equipment, row caching writes control equipment, even number line caching is set
Standby and odd-numbered line buffer memory device；
Wherein, the even number line buffer memory device and the odd-numbered line buffer memory device all use big data memory module to execute number
According to storage.
Then, continue that the specific steps of high sharpness video acquisition method of the invention are further detailed.
In the high sharpness video acquisition method:
In the video acquisition main structure, described image extract equipment is write control equipment with row caching and is connect；
Wherein, in the video acquisition main structure, the row caching is write control equipment and is cached respectively with the even number line
Equipment is connected with the odd-numbered line buffer memory device.
The high sharpness video acquisition method can also include:
The inside of image zooming-out equipment is arranged in use site cleaner, connect, is used for dust concentration analytical equipment
Internal dust concentration reference value is received, and when the internal dust concentration reference value is more than preset concentration threshold value, is executed to institute
State the dust removal operation of the inside of image zooming-out equipment；
Using multiple dust concentration measuring units, it is separately positioned on the inside of described image extract equipment, the multiple ash
Dust concentration measuring unit is in the spread geometry of the inside of described image extract equipment and the shape phase of described image extract equipment
Match, each dust concentration measuring unit is used to incude the dust concentration of its position to export as real-time dust concentration；
Using multiple electromagnetic exposure measuring units, the inside that caching of being expert at writes control equipment, the multiple electricity is respectively set
Magnetic leakage measuring unit writes the spread geometry of the inside of control equipment in row caching and row caching is write and controls equipment
Shape matches, each electromagnetic exposure measuring unit is used to incude the electromagnetic exposure of its position to let out as real-time electromagnetism
Dew output；
Using dust concentration analytical equipment, it is connect respectively with the multiple dust concentration measuring unit, it is described for receiving
Multiple real-time dust concentrations that multiple dust concentration measuring units export respectively, and the multiple real-time dust concentration is executed and is added
Weight average operation is to obtain internal dust concentration reference value；
Using electromagnetic exposure analytical equipment, it is connect respectively with the multiple electromagnetic exposure measuring unit, it is described for receiving
Multiple real-time electromagnetic exposures that multiple electromagnetic exposure measuring units export respectively, and the multiple real-time electromagnetic exposure is executed and is added
Weight average operation is to obtain internal electromagnetic exposure reference value；
Using DDR memory device, the shape of control equipment is write for row caching to be stored in advance, is also used to that image is stored in advance
The shape of extract equipment；
It using front-end processing component, is connect with described image extract equipment, for what is extracted in described image extract equipment
Image is sent to before the row caching writes control equipment and handles described image；
Using adaptive-filtering equipment, it is located in the front-end processing component, is mentioned for receiving described image extract equipment
The image taken executes adaptive-filtering processing to the image that described image extract equipment is extracted, to obtain adaptive-filtering image；
Using data sharpening equipment, it is located in the front-end processing component, connect, be used for the adaptive-filtering equipment
The adaptive-filtering image is received, data sharpening processing is executed to the adaptive-filtering image, to obtain corresponding data
Sharpening image；
Using contrast analyzing device, it is located in the front-end processing component, connect, be used for the data sharpening equipment
The data sharpening image is received, contrast parsing operation is executed to the data sharpening image, it is described data sharpening to obtain
The contrast of image as reference contrast to export；
In the contrast analyzing device, contrast parsing operation is executed to the data sharpening image, to obtain
The contrast of data sharpening image is stated to include: to obtain each pixel in the data sharpening image as the output of reference contrast
Each Y signal component value is formed Y ingredient image, determines the contrast and work of the Y ingredient image by each Y signal component value of point
It is exported to be described with reference to contrast；
Equipment is compared using parameter, is located in the front-end processing component, is connect, be used for the contrast analyzing device
Receive described with reference to contrast, and be compared described with reference to contrast with contrast threshold, with described with reference to contrast
It when more than or equal to the contrast threshold, issues first and compares instruction, be less than the contrast threshold with reference to contrast described
When, it issues second and compares instruction；
Reinforce equipment using shade, be located in the front-end processing component, writes control with row caching respectively and set
Standby, described parameter compares equipment and connect with the contrast analyzing device, for receive described second compare instruct when, it is right
The data sharpening image executes image shade reinforcement processing, reinforces image to obtain level, and the level is reinforced
Image, which is exported, writes control equipment to row caching, is also used to when receiving first control instruction, and the data are sharp
Change image exports as level reinforcement image and writes control equipment to row caching.
In the high sharpness video acquisition method:
The multiple electromagnetic exposure measuring unit the row caching write control equipment inside spread geometry with it is described
It includes: to write the position of form center of the shape of control equipment and every in row caching that the shape that row caching writes control equipment, which matches,
A corresponding electromagnetic exposure measuring unit is respectively arranged in one vertex position.
In the high sharpness video acquisition method:
The spread geometry and described image of inside of the multiple dust concentration measuring unit in described image extract equipment
It includes: position of form center and each vertex position in the shape of described image extract equipment that the shape of extract equipment, which matches,
Respectively one corresponding dust concentration measuring unit of setting；
Wherein, the live cleaner is a deduster for carrying combined filtration piece, dedusting gear with it is described interior
The numerical value of portion's dust concentration reference value is directly proportional.
In addition, DDR=Double Data Rate Double Data Rate synchronous DRAM.Strictly speaking DDR should
It is DDR SDRAM, people's habit is known as DDR, wherein SDRAM is Synchronous Dynamic Random Access
The abbreviation of Memory, i.e. Synchronous Dynamic Random Access Memory.And DDR SDRAM is the contracting of Double Data Rate SDRAM
It writes, is the meaning of Double Data Rate synchronous DRAM.DDR memory is developed on the basis of sdram memory, still
SDRAM production system so is continued to use, therefore for memory manufacturer, only the equipment for manufacturing common SDRAM need to slightly be improved, i.e.,
The production that DDR memory can be achieved, can effectively reduce cost.Double Data Rate: compared with traditional single data rate,
DDR technology, which realizes, carries out read/write operation twice in a clock cycle, i.e., execute respectively in the rising edge of clock and failing edge
Read/write operation.
Using high sharpness video acquisition interface of the invention and method, for video acquisition primary structural energy in the prior art
There is technical problem to be optimized, by all setting even number line buffer memory device and odd-numbered line buffer memory device in video acquisition main structure
It is set to the storage for executing data using big data memory module, to reduce the memory capacity of field device, reduces system entirety function
Consumption；Can also be on the basis of equipment for customizing internal dust measurement mechanism, use site cleaner is for receiving internal dust
Concentration reference value, and when the internal dust concentration reference value is more than preset concentration threshold value, it executes inside to the equipment
Dust removal operation；To solve above-mentioned technical problem.
It is last it is noted that each function device in each embodiment of the present invention can integrate and set in a processing
In standby, it is also possible to each equipment and physically exists alone, it can also be with two or more integration of equipments within one device.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function equipment
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of high sharpness video acquisition interface, which is characterized in that the interface includes:
Video acquisition main structure, including image zooming-out equipment, row caching are write control equipment, even number line buffer memory device and odd-numbered line and are delayed
Deposit equipment；
Wherein, the even number line buffer memory device and the odd-numbered line buffer memory device all use big data memory module to execute data
Storage.
2. high sharpness video acquisition interface as described in claim 1, it is characterised in that:
In the video acquisition main structure, described image extract equipment is write control equipment with row caching and is connect；
Wherein, in the video acquisition main structure, row caching write control equipment respectively with the even number line buffer memory device
It is connected with the odd-numbered line buffer memory device.
3. high sharpness video acquisition interface as claimed in claim 2, which is characterized in that further include:
The inside of image zooming-out equipment is arranged in live cleaner, connect with dust concentration analytical equipment, for receiving inside
Dust concentration reference value, and when the internal dust concentration reference value is more than preset concentration threshold value, execution proposes described image
Take the dust removal operation of the inside of equipment；
Multiple dust concentration measuring units, are separately positioned on the inside of described image extract equipment, and the multiple dust concentration is surveyed
Amount unit matches in the spread geometry of the inside of described image extract equipment and the shape of described image extract equipment, each
Dust concentration measuring unit is used to incude the dust concentration of its position to export as real-time dust concentration；
Multiple electromagnetic exposure measuring units, are respectively set the inside that caching of being expert at writes control equipment, and the multiple electromagnetic exposure is surveyed
Amount unit writes the shape phase for controlling equipment in the spread geometry that row caching writes the inside of control equipment with row caching
Match, each electromagnetic exposure measuring unit is used to incude the electromagnetic exposure of its position to export as real-time electromagnetic exposure；
Dust concentration analytical equipment is connect, for receiving the multiple dust respectively with the multiple dust concentration measuring unit
Multiple real-time dust concentrations that concentration measuring unit exports respectively, and weighted average fortune is executed to the multiple real-time dust concentration
It calculates to obtain internal dust concentration reference value；
Electromagnetic exposure analytical equipment is connect, for receiving the multiple electromagnetism respectively with the multiple electromagnetic exposure measuring unit
Multiple real-time electromagnetic exposures that leakage measuring unit exports respectively, and weighted average fortune is executed to the multiple real-time electromagnetic exposure
It calculates to obtain internal electromagnetic exposure reference value；
DDR memory device writes the shape of control equipment for row caching to be stored in advance, is also used to be stored in advance image zooming-out equipment
Shape；
Front-end processing component is connect with described image extract equipment, and the image for extracting in described image extract equipment is sent out
It gives before the row caching writes control equipment and described image is handled；
Adaptive-filtering equipment is located in the front-end processing component, for receiving the image of described image extract equipment extraction,
Adaptive-filtering processing is executed to the image that described image extract equipment is extracted, to obtain adaptive-filtering image；
Data sharpening equipment is located in the front-end processing component, connect with the adaptive-filtering equipment, described for receiving
Adaptive-filtering image executes data sharpening processing to the adaptive-filtering image, to obtain corresponding data sharpening image；
Contrast analyzing device is located in the front-end processing component, connect with the data sharpening equipment, described for receiving
Data sharpening image executes contrast parsing operation to the data sharpening image, to obtain pair of the data sharpening image
Than degree to be exported as reference contrast；
In the contrast analyzing device, contrast parsing operation is executed to the data sharpening image, to obtain the number
According to the contrast of sharpening image to include: to obtain each pixel in the data sharpening image as the output of reference contrast
Each Y signal component value is formed Y ingredient image, determines the contrast of the Y ingredient image and as institute by each Y signal component value
It states and is exported with reference to contrast；
Parameter compares equipment, is located in the front-end processing component, connect with the contrast analyzing device, described for receiving
It is compared with reference to contrast with contrast threshold with reference to contrast, and by described, to be more than or equal to described with reference to contrast
When the contrast threshold, issue first and compare instruction, it is described be less than the contrast threshold with reference to contrast when, issue the
Two compare instruction；
Shade reinforces equipment, is located in the front-end processing component, writes control equipment, the ginseng with row caching respectively
Number compare equipment connect with the contrast analyzing device, for receive it is described second compare instruct when, to the data
Sharpening image executes image shade reinforcement processing, reinforces image to obtain level, and the level is reinforced image output
Control equipment is write to row caching, is also used to when receiving first control instruction, the data sharpening image is made
It is exported for level reinforcement image and writes control equipment to row caching.
4. high sharpness video acquisition interface as claimed in claim 3, it is characterised in that:
The multiple electromagnetic exposure measuring unit writes the spread geometry of the inside of control equipment in row caching and the row delays
Deposit write control equipment shape match include: the row caching write control equipment shape position of form center and each
A corresponding electromagnetic exposure measuring unit is respectively arranged in vertex position.
5. high sharpness video acquisition interface as claimed in claim 4, it is characterised in that:
The spread geometry and described image of inside of the multiple dust concentration measuring unit in described image extract equipment extract
It includes: respectively to set in the position of form center of the shape of described image extract equipment and each vertex position that the shape of equipment, which matches,
Set a corresponding dust concentration measuring unit；
Wherein, the live cleaner is a deduster for carrying combined filtration piece, dedusting gear and the internal ash
The numerical value of dust concentration reference value is directly proportional.
6. a kind of high sharpness video acquisition method, which is characterized in that the described method includes:
Build video acquisition main structure, the video acquisition main structure for realizing high sharpness video acquisition；
Wherein, the video acquisition main structure include image zooming-out equipment, row caching write control equipment, even number line buffer memory device and
Odd-numbered line buffer memory device；
Wherein, the even number line buffer memory device and the odd-numbered line buffer memory device all use big data memory module to execute data
Storage.
7. high sharpness video acquisition method as claimed in claim 6, it is characterised in that:
In the video acquisition main structure, described image extract equipment is write control equipment with row caching and is connect；
Wherein, in the video acquisition main structure, row caching write control equipment respectively with the even number line buffer memory device
It is connected with the odd-numbered line buffer memory device.
8. high sharpness video acquisition method as claimed in claim 7, which is characterized in that further include:
The inside of image zooming-out equipment is arranged in use site cleaner, connect with dust concentration analytical equipment, for receiving
Internal dust concentration reference value, and when the internal dust concentration reference value is more than preset concentration threshold value, it executes to the figure
As the dust removal operation of the inside of extract equipment；
Using multiple dust concentration measuring units, it is separately positioned on the inside of described image extract equipment, the multiple dust is dense
Degree measuring unit matches in the spread geometry of the inside of described image extract equipment and the shape of described image extract equipment, often
One dust concentration measuring unit is used to incude the dust concentration of its position to export as real-time dust concentration；
Using multiple electromagnetic exposure measuring units, the inside that caching of being expert at writes control equipment is respectively set, the multiple electromagnetism is let out
Dew measuring unit caches the shape for writing control equipment in the spread geometry that row caching writes the inside of control equipment with the row
Match, each electromagnetic exposure measuring unit is used to incude the electromagnetic exposure of its position using defeated as real-time electromagnetic exposure
Out；
Using dust concentration analytical equipment, it is connect respectively with the multiple dust concentration measuring unit, it is the multiple for receiving
Multiple real-time dust concentrations that dust concentration measuring unit exports respectively, and it is flat to execute weighting to the multiple real-time dust concentration
Equal operation is to obtain internal dust concentration reference value；
Using electromagnetic exposure analytical equipment, it is connect respectively with the multiple electromagnetic exposure measuring unit, it is the multiple for receiving
Multiple real-time electromagnetic exposures that electromagnetic exposure measuring unit exports respectively, and it is flat to execute weighting to the multiple real-time electromagnetic exposure
Equal operation is to obtain internal electromagnetic exposure reference value；
Using DDR memory device, the shape of control equipment is write for row caching to be stored in advance, is also used to that image zooming-out is stored in advance
The shape of equipment；
It using front-end processing component, is connect with described image extract equipment, the image for being extracted in described image extract equipment
It is sent to before the row caching writes control equipment and described image is handled；
Using adaptive-filtering equipment, it is located in the front-end processing component, for receiving the extraction of described image extract equipment
Image executes adaptive-filtering processing to the image that described image extract equipment is extracted, to obtain adaptive-filtering image；
Using data sharpening equipment, it is located in the front-end processing component, is connect with the adaptive-filtering equipment, for receiving
The adaptive-filtering image executes data sharpening processing to the adaptive-filtering image, corresponding data sharpening to obtain
Image；
Using contrast analyzing device, it is located in the front-end processing component, is connect with the data sharpening equipment, for receiving
The data sharpening image executes contrast parsing operation to the data sharpening image, to obtain the data sharpening image
Contrast using as reference contrast export；
In the contrast analyzing device, contrast parsing operation is executed to the data sharpening image, to obtain the number
According to the contrast of sharpening image to include: to obtain each pixel in the data sharpening image as the output of reference contrast
Each Y signal component value is formed Y ingredient image, determines the contrast of the Y ingredient image and as institute by each Y signal component value
It states and is exported with reference to contrast；
Equipment is compared using parameter, is located in the front-end processing component, is connect with the contrast analyzing device, for receiving
It is described to refer to contrast, and be compared described with reference to contrast with contrast threshold, to be greater than described with reference to contrast
When equal to the contrast threshold, issues first and compare instruction, when the reference contrast is less than the contrast threshold, hair
Second compare instruction out；
Reinforce equipment using shade, be located in the front-end processing component, writes control equipment, institute with row caching respectively
State parameter compare equipment connect with the contrast analyzing device, for receive it is described second compare instruct when, to described
Data sharpening image executes image shade reinforcement processing, reinforces image to obtain level, and the level is reinforced image
It exports and writes control equipment to row caching, be also used to when receiving first control instruction, by the data sharpening figure
Control equipment is write to row caching as exporting as level reinforcement image.
9. high sharpness video acquisition method as claimed in claim 8, it is characterised in that:
The multiple electromagnetic exposure measuring unit writes the spread geometry of the inside of control equipment in row caching and the row delays
Deposit write control equipment shape match include: the row caching write control equipment shape position of form center and each
A corresponding electromagnetic exposure measuring unit is respectively arranged in vertex position.
10. high sharpness video acquisition method as claimed in claim 9, it is characterised in that:
The spread geometry and described image of inside of the multiple dust concentration measuring unit in described image extract equipment extract
It includes: respectively to set in the position of form center of the shape of described image extract equipment and each vertex position that the shape of equipment, which matches,
Set a corresponding dust concentration measuring unit；
Wherein, the live cleaner is a deduster for carrying combined filtration piece, dedusting gear and the internal ash
The numerical value of dust concentration reference value is directly proportional.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393010A (en) * | 2008-08-11 | 2009-03-25 | 张育民 | Embedded vision detecting system |
| CN105772473A (en) * | 2016-03-24 | 2016-07-20 | 京东方科技集团股份有限公司 | Dust removal method and device |
| CN109040640A (en) * | 2018-08-02 | 2018-12-18 | 安徽南瑞继远电网技术有限公司 | A kind of distributed video storage-playback |
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2018
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101393010A (en) * | 2008-08-11 | 2009-03-25 | 张育民 | Embedded vision detecting system |
| CN105772473A (en) * | 2016-03-24 | 2016-07-20 | 京东方科技集团股份有限公司 | Dust removal method and device |
| CN109040640A (en) * | 2018-08-02 | 2018-12-18 | 安徽南瑞继远电网技术有限公司 | A kind of distributed video storage-playback |
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