CN109842800A - Big data compression-encoding device - Google Patents
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Abstract
The present invention relates to a kind of big data compression-encoding devices, it include: encoding processing apparatus, for each incomplete car body subgraph of corresponding vehicle being carried out the processing of MPEG-4 compressed encoding, to obtain corresponding coded image data when receiving the first detection instruction；The distal end of button imaging device is arranged in monitoring server, is connect by wireless network with the encoding processing apparatus, for receiving each coded image data.Big data compression-encoding device application of the invention is universal, has certain automatization level.
Description
Technical field
The present invention relates to big data coding field more particularly to a kind of big data compression-encoding devices.
Background technique
The compression coding technology of multi-medium data is got up in the base growth of C.E.Shannon information theory.Coding
Method can be divided into three classes: (1) according to the statistical property of information source, using predictive coding, transition coding, vector quantization coding,
The methods of sub-band coding, neural network coding (first generation coding method).(2) according to human-eye visual characteristic, using based on direction
The image coding of filtering is encoded, the methods of coding based on wavelet analysis (second generation coding staff based on one ethics of image outline
Method).(3) according to transmitting scene features: using the methods of fractal image, Model-based control (second generation coding method).
Summary of the invention
According to an aspect of the present invention, a kind of big data compression-encoding device is provided, described device includes:
Encoding processing apparatus, for when receiving the first detection instruction, by each incomplete vehicle of corresponding vehicle
Body subgraph carries out the processing of MPEG-4 compressed encoding, to obtain corresponding coded image data；
The distal end of button imaging device is arranged in monitoring server, is connected by wireless network and the encoding processing apparatus
It connects, for receiving each coded image data；
Button imaging device is arranged in traffic management station, for carrying out real time imagery to traffic management station current scene
Operation, to obtain real-time scene image；
Data volume measuring device is connect with the button imaging device, for receiving the real-time scene image, to described
The data volume of real-time scene image is counted, and when the data volume of statistics transfinites, and issues the first control command；
The data volume measuring device is also used to when the data volume of statistics does not transfinite, issues the second control command；
In the data volume measuring device, carrying out statistics to the data volume of the real-time scene image includes: identification institute
Each redundant sub-pixels point and each nonredundancy pixel in real-time scene image are stated, based on each in the real-time scene image
The product for the digit that the quantity and single pixel point of nonredundancy pixel occupy calculates the data volume of the real-time scene image；
The gamma correcting equipment is also used to exit operating mode when receiving second control command, stops connecing
Receive the real-time scene image；
Gamma correcting equipment, for coming from institute into operating mode to receive when receiving first control command
The real-time scene image for stating data volume measuring device executes gamma correction processing to the real-time scene image, to obtain gamma
Correct image.
The present invention at least needs to have inventive point important at following three:
(1) integrity degree analysis is carried out simultaneously to the shape of all images in scene, incomplete vehicle image is compiled
It is sent at monitoring server after code, to improve monitoring efficiency, ensure that the safety of road vehicle traveling；
(2) on the basis of gamma correction and sharpening in real time, adaptive filter is used to image according to image particular content
Wave strategy guarantees filter effect to reduce filtering time；
(3) each redundant sub-pixels point and each nonredundancy pixel in image are identified, based on each nonredundancy in image
The product for the digit that the quantity and single pixel point of pixel occupy calculates the data volume of image.
Big data compression-encoding device application of the invention is universal, has certain automatization level.By to live institute
There is the shape of image while carrying out integrity degree analysis, is sent to monitoring server after incomplete vehicle image is encoded
Place ensure that the safety of road vehicle traveling to improve monitoring efficiency.
Specific embodiment
The embodiment of big data compression-encoding device of the invention will be described in detail below.
Monitoring system is developed so far, and in addition to monitoring technology is constantly reformed, monitoring product also starts strong with other product forms
Big safety defense monitoring system, for example, can use fence for monitored region and surround closed area, fence tool
For obstruction and warning system, it is a kind of anti-more fence of active invasion, counterattack is made to intrusion attempt, beats back invader, is postponed
The time is invaded, and does not threaten the life of people, once someone invades, system starting alarm, monitoring system also monitors simultaneously, and handle
Invasion signal is sent in security department's monitoring device, to guarantee the case where administrative staff can understand alarm region in time, quickly
Deal with.
In the driving process of vehicle, in order to guarantee the safety of vehicle driving and accurately obtain various auxiliary parameters to believe
Breath, has built the policer operation that some vehicle monitoring systems carry out different purposes.
Incomplete vehicle when driving, will bring serious hidden trouble of traffic on road, bring for other vehicle and pedestrians
Dangerous and uncertain, in the prior art, the administrative staff for still relying on each transport node to the integrity detection of vehicle carry out
Artificial detection, inefficient and be easy to cause missing inspection, therefore, it is necessary to a kind of efficient automatic detection schemes.
In order to overcome above-mentioned deficiency, the present invention has built a kind of big data compression-encoding device, can effectively solve the problem that corresponding
The technical issues of.
The big data compression-encoding device shown according to an embodiment of the present invention includes:
Encoding processing apparatus, for when receiving the first detection instruction, by each incomplete vehicle of corresponding vehicle
Body subgraph carries out the processing of MPEG-4 compressed encoding, to obtain corresponding coded image data；
The distal end of button imaging device is arranged in monitoring server, is connected by wireless network and the encoding processing apparatus
It connects, for receiving each coded image data；
Button imaging device is arranged in traffic management station, for carrying out real time imagery to traffic management station current scene
Operation, to obtain real-time scene image；
Data volume measuring device is connect with the button imaging device, for receiving the real-time scene image, to described
The data volume of real-time scene image is counted, and when the data volume of statistics transfinites, and issues the first control command；
The data volume measuring device is also used to when the data volume of statistics does not transfinite, issues the second control command；
In the data volume measuring device, carrying out statistics to the data volume of the real-time scene image includes: identification institute
Each redundant sub-pixels point and each nonredundancy pixel in real-time scene image are stated, based on each in the real-time scene image
The product for the digit that the quantity and single pixel point of nonredundancy pixel occupy calculates the data volume of the real-time scene image；
The gamma correcting equipment is also used to exit operating mode when receiving second control command, stops connecing
Receive the real-time scene image；
Gamma correcting equipment, for coming from institute into operating mode to receive when receiving first control command
The real-time scene image for stating data volume measuring device executes gamma correction processing to the real-time scene image, to obtain gamma
Correct image；
Equipment is sharpened in real time, is connect with the gamma correcting equipment, for receiving the gamma correction image, to the gal
Horse corrects image and executes real-time Edge contrast, to obtain corresponding real-time sharpening image；
Brightness analyzing device is connect with the real-time sharpening equipment, for receiving the real-time sharpening image, described in acquisition
Form and aspect signal component value, luminance components value and the saturation degree signal component value of each pixel, are based on each pixel in real-time sharpening image
Form and aspect signal component value obtain first passage image, luminance components value based on each pixel obtains second channel image, is based on
The saturation degree signal component value of each pixel obtains third channel image；
Filtering executes equipment, connect with the brightness analyzing device, for executing maximum value to the third channel image
Filtering processing, to obtain filtering processing image, and will be at the first passage image, the second channel image and the filtering
Reason image superposition executes image to obtain filtering；
Wiener filtering equipment executes equipment with the filtering and connect, and executes image for receiving the filtering, and to described
Filtering executes image and executes Wiener filtering processing, to obtain and export Wiener Filtering；
Integrity degree detection device is connect, for being based on respectively with the encoding processing apparatus and the Wiener filtering equipment
Car body imaging features identify each car body subgraph in the Wiener Filtering, and carry out to each car body subgraph
Shape identification, it is whether complete with the corresponding vehicle of determination, when imperfect there are the corresponding vehicle of car body subgraph, issue first
Otherwise detection instruction issues the second detection instruction；
Wherein, the encoding processing apparatus is also used to when receiving second detection instruction, without any image
Compressed encoding processing.
Then, continue that the specific structure of big data compression-encoding device of the invention is further detailed.
In the big data compression-encoding device:
The gamma correcting equipment, the real-time sharpening equipment, the brightness analyzing device, the filtering execute equipment and
Different asic chips is respectively adopted to realize in the Wiener filtering equipment；
Wherein, the gamma correcting equipment, the real-time sharpening equipment, the brightness analyzing device, the filtering execute
Equipment and the Wiener filtering equipment share same 32 bit data bus.
Can also include: in the big data compression-encoding device
Adaptive-filtering equipment executes equipment with the filtering and connect, and image is executed for receiving the filtering, to described
Filtering executes image and executes adaptive-filtering processing, to obtain adaptive-filtering image；
Data sharpening equipment is connect with the adaptive-filtering equipment, for receiving the adaptive-filtering image, to institute
It states adaptive-filtering image and executes data sharpening processing, to obtain corresponding data sharpening image.
Can also include: in the big data compression-encoding device
Contrast analyzing device is connect with the data sharpening equipment, for receiving the data sharpening image, to described
Data sharpening image executes contrast parsing operation, to obtain the contrast of the data sharpening image using as reference contrast
Output；
Wherein, in the contrast analyzing device, contrast parsing operation is executed to the data sharpening image, to obtain
The data sharpening image contrast using as the output of reference contrast include: obtain it is each in the data sharpening image
Each Y signal component value is formed Y ingredient image, determines the contrast of the Y ingredient image by each Y signal component value of pixel
And it is exported as described with reference to contrast.
Can also include: in the big data compression-encoding device
Parameter compares equipment, connect with the contrast analyzing device, described with reference to contrast for receiving, and will be described
It is compared with reference to contrast with contrast threshold, to send out when the reference contrast is more than or equal to the contrast threshold
First instruction is compared out, when the reference contrast is less than the contrast threshold, issues second and compare instruction；
Shade reinforces equipment, compares equipment with the parameter respectively and the contrast analyzing device is connect, be used for
When receiving the second comparison instruction, image shade reinforcement processing is executed to the data sharpening image, to obtain
Level reinforces image, is also used to when receiving first control instruction, reinforces the data sharpening image as level
Image；
Wherein, it is also built-in with ram cell in the parameter comparison equipment, for storing the contrast threshold；
Wherein, the shade reinforcement equipment is also connect with the Wiener filtering equipment, for reinforcing the level
Image replaces the filtering execution image and is sent to the Wiener filtering equipment.
The big data compaction coding method shown according to an embodiment of the present invention includes:
It is for when receiving the first detection instruction, corresponding vehicle is incomplete each using encoding processing apparatus
A car body subgraph carries out the processing of MPEG-4 compressed encoding, to obtain corresponding coded image data；
Using monitoring server, the distal end of button imaging device is set, is set by wireless network and the coded treatment
Standby connection, for receiving each coded image data；
Using button imaging device, it is arranged in traffic management station, it is real-time for being carried out to traffic management station current scene
Imaging operation, to obtain real-time scene image；
Using data volume measuring device, it is connect with the button imaging device, it is right for receiving the real-time scene image
The data volume of the real-time scene image is counted, and when the data volume of statistics transfinites, and issues the first control command；
The data volume measuring device is also used to when the data volume of statistics does not transfinite, issues the second control command；
In the data volume measuring device, carrying out statistics to the data volume of the real-time scene image includes: identification institute
Each redundant sub-pixels point and each nonredundancy pixel in real-time scene image are stated, based on each in the real-time scene image
The product for the digit that the quantity and single pixel point of nonredundancy pixel occupy calculates the data volume of the real-time scene image；
The gamma correcting equipment is also used to exit operating mode when receiving second control command, stops connecing
Receive the real-time scene image；
Using gamma correcting equipment, for being come into operating mode with receiving when receiving first control command
From the real-time scene image of the data volume measuring device, gamma correction processing is executed to the real-time scene image, to obtain
Gamma correction image；
Equipment is sharpened using real-time, is connect with the gamma correcting equipment, for receiving the gamma correction image, to institute
It states gamma correction image and executes real-time Edge contrast, to obtain corresponding real-time sharpening image；
It using brightness analyzing device, connect with the real-time sharpening equipment, for receiving the real-time sharpening image, obtains
The form and aspect signal component value of each pixel, luminance components value and saturation degree signal component value in the real-time sharpening image are based on each picture
The form and aspect signal component value of vegetarian refreshments obtains first passage image, and the luminance components value based on each pixel obtains second channel image,
Saturation degree signal component value based on each pixel obtains third channel image；
Equipment is executed using filtering, is connect with the brightness analyzing device, for being executed most to the third channel image
Big value filtering processing, to obtain filtering processing image, and by the first passage image, the second channel image and the filter
Wave handles image superposition and executes image to obtain filtering；
Using Wiener filtering equipment, equipment is executed with the filtering and is connect, execute image for receiving the filtering, and right
The filtering executes image and executes Wiener filtering processing, to obtain and export Wiener Filtering；
Using integrity degree detection device, it connect, is used for the encoding processing apparatus and the Wiener filtering equipment respectively
Each car body subgraph in the Wiener Filtering is identified based on car body imaging features, and to each car body subgraph
Shape identification is carried out, it is whether complete with the corresponding vehicle of determination, when imperfect there are the corresponding vehicle of car body subgraph, issue
Otherwise first detection instruction issues the second detection instruction；
Wherein, the encoding processing apparatus is also used to when receiving second detection instruction, without any image
Compressed encoding processing.
Then, continue that the specific steps of big data compaction coding method of the invention are further detailed.
In the big data compaction coding method:
The gamma correcting equipment, the real-time sharpening equipment, the brightness analyzing device, the filtering execute equipment and
Different asic chips is respectively adopted to realize in the Wiener filtering equipment；
Wherein, the gamma correcting equipment, the real-time sharpening equipment, the brightness analyzing device, the filtering execute
Equipment and the Wiener filtering equipment share same 32 bit data bus.
The big data compaction coding method can also include:
Using adaptive-filtering equipment, equipment is executed with the filtering and is connect, execute image for receiving the filtering, it is right
The filtering executes image and executes adaptive-filtering processing, to obtain adaptive-filtering image；
Using data sharpening equipment, it is connect with the adaptive-filtering equipment, for receiving the adaptive-filtering image,
Data sharpening processing is executed to the adaptive-filtering image, to obtain corresponding data sharpening image.
The big data compaction coding method can also include:
Using contrast analyzing device, it is connect with the data sharpening equipment, it is right for receiving the data sharpening image
The data sharpening image executes contrast parsing operation, to obtain the contrast of the data sharpening image using as reference pair
It is exported than degree；
Wherein, in the contrast analyzing device, contrast parsing operation is executed to the data sharpening image, to obtain
The data sharpening image contrast using as the output of reference contrast include: obtain it is each in the data sharpening image
Each Y signal component value is formed Y ingredient image, determines the contrast of the Y ingredient image by each Y signal component value of pixel
And it is exported as described with reference to contrast.
The big data compaction coding method can also include:
Equipment is compared using parameter, is connect with the contrast analyzing device, it is described with reference to contrast for receiving, and will
It is described to be compared with reference to contrast with contrast threshold, to be more than or equal to the contrast threshold with reference to contrast described
When, it issues first and compares instruction, when the reference contrast is less than the contrast threshold, issues second and compare instruction；
Reinforce equipment using shade, compare equipment with the parameter respectively and the contrast analyzing device is connect,
For executing image shade reinforcement processing to the data sharpening image when receiving the second comparison instruction, with
It obtains level and reinforces image, be also used to when receiving first control instruction, using the data sharpening image as level
Reinforce image；
Wherein, it is also built-in with ram cell in the parameter comparison equipment, for storing the contrast threshold；
Wherein, the shade reinforcement equipment is also connect with the Wiener filtering equipment, for reinforcing the level
Image replaces the filtering execution image and is sent to the Wiener filtering equipment.
In addition, the integrity degree detection device is GPU chip.Graphics processor (English: Graphics Processing
Unit, abbreviation: GPU), also known as show core, vision processor, display chip, be one kind specially PC, work station,
The microprocessor that image operation works on game machine and some mobile devices (such as tablet computer, smart phone).
Graphics processor purposes is will to show that information carries out conversion driving required for computer system, and mention to display
For line scan signals, the correct display of display is controlled, is the critical elements of connection display and PC mainboard, and
One of the important equipment of " human-computer dialogue ".Video card undertakes output display figure as an important component in host computer
The task of shape, video card is extremely important for the people for being engaged in professional graphic design.
The processor of video card is known as graphics processor (GPU), it is video card " heart ", similar with CPU, only GPU
It is to aim to execute complicated mathematics and geometry calculating and design, these calculating are necessary to figure rendering.It is certain most quick
The integrated number of transistors of GPU be even more than common CP U.
At present GPU majority possesses 2D or 3D figure acceleration function.If CPU thinks one X-Y scheme of picture, it is only necessary to send out
A instruction such as " draws the rectangle that a long and width is a × b size ", GPU can be counted rapidly to GPU at coordinate position (x, y)
The all pixels of the figure are calculated, and designated position draws corresponding figure over the display, notes that " I draws CPU after painting
It is over ", then waiting for CPU issues next graphics command.
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 (5)
1. a kind of big data compression-encoding device, which is characterized in that described device includes:
Encoding processing apparatus, for when receiving the first detection instruction, by incomplete each car body of corresponding vehicle
Image carries out the processing of MPEG-4 compressed encoding, to obtain corresponding coded image data；
The distal end of button imaging device is arranged in monitoring server, is connect by wireless network with the encoding processing apparatus, uses
In each coded image data of reception；
Button imaging device is arranged in traffic management station, for carrying out real time imagery operation to traffic management station current scene,
To obtain real-time scene image；
Data volume measuring device is connect with the button imaging device, for receiving the real-time scene image, to described real-time
The data volume of scene image is counted, and when the data volume of statistics transfinites, and issues the first control command；
The data volume measuring device is also used to when the data volume of statistics does not transfinite, issues the second control command；
In the data volume measuring device, carrying out statistics to the data volume of the real-time scene image includes: the identification reality
When scene image in each redundant sub-pixels point and each nonredundancy pixel, based on each non-superfluous in the real-time scene image
The product for the digit that the quantity and single pixel point of afterimage vegetarian refreshments occupy calculates the data volume of the real-time scene image；
The gamma correcting equipment is also used to when receiving second control command, exits operating mode, stops receiving institute
State real-time scene image；
Gamma correcting equipment, for coming from the number into operating mode to receive when receiving first control command
According to the real-time scene image of measurement equipment, gamma correction processing is executed to the real-time scene image, to obtain gamma correction
Image；
Equipment is sharpened in real time, is connect with the gamma correcting equipment, for receiving the gamma correction image, to the gamma school
Positive image executes real-time Edge contrast, to obtain corresponding real-time sharpening image；
Brightness analyzing device is connect with the real-time sharpening equipment, for receiving the real-time sharpening image, is obtained described real-time
The form and aspect signal component value of each pixel, luminance components value and saturation degree signal component value, the color based on each pixel in sharpening image
The score value that coordinates obtains first passage image, and the luminance components value based on each pixel obtains second channel image, based on each
The saturation degree signal component value of pixel obtains third channel image；
Filtering executes equipment, connect with the brightness analyzing device, for executing maximum value filtering to the third channel image
Processing to obtain filtering processing image, and the first passage image, the second channel image and the filtering processing is schemed
Image is executed as superposition to obtain filtering；
Wiener filtering equipment executes equipment with the filtering and connect, and executes image for receiving the filtering, and to the filtering
It executes image and executes Wiener filtering processing, to obtain and export Wiener Filtering；
Integrity degree detection device is connect with the encoding processing apparatus and the Wiener filtering equipment respectively, for being based on car body
Imaging features identify each car body subgraph in the Wiener Filtering, and carry out shape to each car body subgraph
Identification, it is whether complete with the corresponding vehicle of determination, when imperfect there are the corresponding vehicle of car body subgraph, issue the first detection
Otherwise instruction issues the second detection instruction；
Wherein, the encoding processing apparatus is also used to when receiving second detection instruction, the pressure without any image
Contracting coded treatment.
2. big data compression-encoding device as described in claim 1, it is characterised in that:
The gamma correcting equipment, the real-time sharpening equipment, the brightness analyzing device, the filtering execute equipment and described
Different asic chips is respectively adopted to realize in Wiener filtering equipment；
Wherein, the gamma correcting equipment, the real-time sharpening equipment, the brightness analyzing device, the filtering execute equipment
Same 32 bit data bus is shared with the Wiener filtering equipment.
3. big data compression-encoding device as claimed in claim 2, which is characterized in that described device further include:
Adaptive-filtering equipment executes equipment with the filtering and connect, and image is executed for receiving the filtering, to the filtering
It executes image and executes adaptive-filtering processing, to obtain adaptive-filtering image；
Data sharpening equipment is connect with the adaptive-filtering equipment, for receiving the adaptive-filtering image, to it is described from
Adaptive filtering image executes data sharpening processing, to obtain corresponding data sharpening image.
4. big data compression-encoding device as claimed in claim 3, which is characterized in that described device further include:
Contrast analyzing device is connect with the data sharpening equipment, for receiving the data sharpening image, to the data
Sharpening image executes contrast parsing operation, to obtain the contrast of the data sharpening image using defeated as reference contrast
Out；
Wherein, 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.
5. big data compression-encoding device as claimed in claim 4, which is characterized in that described device further include:
Parameter compares equipment, connect with the contrast analyzing device, for receive it is described refer to contrast, and by the reference
Contrast is compared with contrast threshold, with it is described be more than or equal to the contrast threshold with reference to contrast when, issue the
One compares instruction, when the reference contrast is less than the contrast threshold, issues second and compares instruction；
Shade reinforces equipment, compares equipment with the parameter respectively and the contrast analyzing device is connect, for connecing
When receiving the second comparison instruction, image shade reinforcement processing is executed to the data sharpening image, to obtain level
Reinforce image, be also used to when receiving first control instruction, reinforces image for the data sharpening image as level；
Wherein, it is also built-in with ram cell in the parameter comparison equipment, for storing the contrast threshold；
Wherein, the shade reinforcement equipment is also connect with the Wiener filtering equipment, for the level to be reinforced image
It replaces the filtering execution image and is sent to the Wiener filtering equipment.
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| CN111491166A (en) * | 2019-12-15 | 2020-08-04 | 王娟 | Dynamic compression system and method based on content analysis |
| CN111726568A (en) * | 2019-10-10 | 2020-09-29 | 曹红娟 | Directional monitoring system and method based on signal analysis |
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