CN105763855B - Image delivering system and image transfer method - Google Patents
Image delivering system and image transfer method Download PDFInfo
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- CN105763855B CN105763855B CN201610258358.3A CN201610258358A CN105763855B CN 105763855 B CN105763855 B CN 105763855B CN 201610258358 A CN201610258358 A CN 201610258358A CN 105763855 B CN105763855 B CN 105763855B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
- H04N7/185—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source from a mobile camera, e.g. for remote control
Abstract
The embodiment of the invention discloses a kind of image transfer methods, comprising: camera shoots present image for object；Using local data compact model, a pair of present image of multiple reduced rules is selected to be compressed；Remote equipment is sent by the compressed data packets of present image；And remote equipment receives the compressed data packets, is unziped it using remote data compact model to compressed data packets, and updates remote data compact model using the image data of decompression；Wherein, one of described reduced rule is selected according to the difference between one or more history images in present image and data compact model, the compressed data packets include compressing image data and auxiliary data.
Description
Technical field
The present embodiments relate to field of image processing more particularly to a kind of image delivering system and a kind of image transmitting sides
Method.
Background technique
With the continuous improvement of digital camera resolution ratio, the information content for including in the photo of camera shooting is more huge
Greatly, it challenges to storage and transmission.Common solution is to utilize the space between image pixel using Image Compression
Correlation removes redundancy under the premise of not damaging or slight damage picture quality, reduces image file size, with benefit
In the storage and transmission of image, common picture format such as jpg, png are the embodiment of this kind of scheme.
Position for camera and towards fixation, by the multiple pictures that not timing is shot be transmitted to another electronic device this
One application scenarios, conventional solution are that file is transmitted to distal end by the independent compression processing of every photo, and by treated.By
It is highly developed in Image Compression, there are many industrial standards, it is compressed that distal end is usually not required to operation bidirectional i.e. decodable code
Image, to complete camera to the information transmission between remote electronic device.However, this conventional solution does not utilize
The position of camera and towards it is fixed when captured photo have this feature of high correlation in terms of content, thus in transmission process
In have waste to data bandwidth.
Accordingly, it is desirable to provide a kind of image delivering system and image transfer method overcome or alleviated by above-mentioned technical problem.
Summary of the invention
According to an aspect of an embodiment of the present invention, a kind of image transfer method is provided, may include:
Camera shoots present image for object；
Using local data compact model, a pair of present image of multiple reduced rules is selected to be compressed；
Remote equipment is sent by the compressed data packets of present image；And
Remote equipment receives the compressed data packets, is decompressed using remote data compact model to compressed data packets
Contracting, and remote data compact model is updated using the image data of decompression；
Wherein, institute is selected according to the difference between one or more history images in present image and data compact model
One of reduced rule is stated, the compressed data packets include compressing image data and auxiliary data.
Being preferably based on the camera, to be directed to the object sequentially in time with equal angular at same position pre-
The one or more history images first shot, to create the data compression model.
Preferably, the difference according between present image and one or more history images selects the reduced rule
One of include:
Calculate the consistent block ratio R for the previous image that present image is shot with the camera as target image；
If the shooting interval Δ t of present image and the previous image is less than first threshold T1, when consistent block
Ratio R selects the first reduced rule when being greater than second threshold T2；
Less than the in the case where the shooting interval Δ t is not less than first threshold T1 and in time interval Δ t
In the case that one threshold value T1 but consistent block ratio R are less than or equal to second threshold T2, the present image is calculated separately and as mesh
The consistent block ratio R of one or more history images of logo image, when there are at least one history that R value is greater than third threshold value T3
The second reduced rule is selected when image, selects third reduced rule when there is no the history image that R value is greater than third threshold value T3.
Preferably, calculating consistent block ratio includes: that present image and target image are respectively divided into the N number of of identical size
Block, N are greater than 1 integer；The similarity for calculating the corresponding blocks of present image and the target image, the similarity is greater than
The block of predetermined threshold T4 is defined as the consistent block of present image and target image；And consistent block ratio is defined as n/N, wherein
N is the number of consistent block, and n is greater than the integer equal to 0.
Preferably, the first reduced rule includes calculate the previous image that present image and the camera are shot first residual
Difference image is compressed to obtain compressing image data to the first residual image；Second reduced rule include calculate present image with
The statistical nature of at least one history image selects statistical nature and the immediate history image of present image as selected history
Image calculates the second residual image of selected history image and present image, is compressed to the second residual image
Image data；Third reduced rule includes the characteristic image for calculating the history image, and present image is expressed as the feature
The linear combination of image and third residual image, are compressed to obtain compressing image data to third residual image.
Preferably, the auxiliary data includes the number of reduced rule, further includes at least one of the following: characteristic image
Index, the linear weighted function coefficient of characteristic image, selected history image number.
Preferably, if the size of the compressed data packets of the present image obtained by one of first to third reduced rule
Greater than the size of the present image of conventional compact format, then directly to remote equipment transmission conventional compact format present image and
Auxiliary data.
According to another aspect of an embodiment of the present invention, a kind of image delivering system is provided, may include:
Camera shoots present image for object；
Local image processing equipment, is connected with camera, including memory, for storing local data compact model, institute
Stating local image processing equipment selects a pair of present image of multiple reduced rules to be compressed, by the compressed data of present image
Packet is sent to distal end image processing equipment；And
Distal end image processing equipment, for receiving the compressed data packets, using remote data compact model to compression number
It is unziped it according to packet, and updates remote data compact model using the image data of decompression；
Wherein, institute is selected according to the difference between one or more history images in present image and data compact model
One of reduced rule is stated, the compressed data packets include compressing image data and auxiliary data.
Being preferably based on the camera, to be directed to the object sequentially in time with equal angular at same position pre-
The one or more history images first shot, to create the local data compact model.
Preferably, local image processing equipment is configured that
Calculate the consistent block ratio R for the previous image that present image is shot with the camera as target image；
If the shooting interval Δ t of present image and the previous image is less than first threshold T1, when consistent block
Ratio R selects the first reduced rule when being greater than second threshold T2；
Less than the in the case where the shooting interval Δ t is not less than first threshold T1 and in time interval Δ t
In the case that one threshold value T1 but consistent block ratio R are less than or equal to second threshold T2, the present image is calculated separately and as mesh
The consistent block ratio R of one or more history images of logo image, when there are at least one history that R value is greater than third threshold value T3
The second reduced rule is selected when image, selects third reduced rule when there is no the history image that R value is greater than third threshold value T3.
According to another aspect of the present invention, a kind of image delivering system is additionally provided, comprising:
Camera shoots present image for object；
Local image processing equipment, is connected with camera, comprising:
First input/output interface receives the present image shot by camera and by the compressed data of present image
Packet is sent to distal end image processing equipment；
First memory, for storing local data compact model；
First controller, for selecting a pair of present image of multiple reduced rules to be compressed to generate present image
Compressed data packets；
Distal end image processing equipment, comprising:
Second input/output interface receives the compressed data packets of the present image from local image processing equipment；
Second memory, for storing remote data compact model；
Second controller for unziping it using remote data compact model to compressed data packets, and utilizes decompression
The image data of contracting updates the remote data compact model stored in second memory；
Wherein, the first controller is according between one or more history images in present image and data compact model
Difference selects one of described reduced rule, and the compressed data packets include compressing image data and auxiliary data.
Being preferably based on the camera, to be directed to the object sequentially in time with equal angular at same position pre-
The one or more history images first shot, to create the local data compact model.
According to embodiments of the present invention, for position of camera and towards it is fixed when captured image sequence the characteristics of, provide
New image Compression scheme reduces image file data amount, to reduce during by image transmitting to distal end
Data bandwidth is transmitted, transmission speed is improved, shortens the response time.
Detailed description of the invention
Be more clearly understood the feature and advantage of the embodiment of the present invention by reference to attached drawing, attached drawing be schematically without
It is interpreted as carrying out any restrictions to the present invention, in the accompanying drawings:
Fig. 1 shows the block diagram of image delivering system according to an embodiment of the present invention；
Fig. 2 shows the schematic block diagrams of image delivering system according to an embodiment of the present invention；
Fig. 3 A and 3B respectively illustrate local image processing equipment and distal end image procossing according to an embodiment of the present invention and set
Standby schematic block diagram；
Fig. 4 shows the flow chart of image transfer method according to an embodiment of the present invention；
Fig. 5 shows the detail flowchart that reduced rule selects in image transfer method according to an embodiment of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with specific embodiment, and reference
The embodiment of the present invention is further described in attached drawing.Obviously, described embodiment is only that present invention a part is implemented
Example, instead of all the embodiments.Based on the embodiment of the present invention, those of ordinary skill in the art are not making creative labor
Every other embodiment obtained under the premise of dynamic, shall fall within the protection scope of the present invention.
Fig. 1 shows the block diagram of image delivering system according to an embodiment of the present invention.As shown in Figure 1, according to the present invention
The image delivering system 1000 of embodiment may include: local image processing equipment 1010,1020 and of distal end image processing equipment
Camera 1030.It will be understood by those skilled in the art that there may be more although illustrating only a camera 1030 in Fig. 1
A camera 1030, respectively from different perspectives shoots object.
Fig. 2 shows the schematic block diagrams of image delivering system according to an embodiment of the present invention.With reference to Fig. 1 and Fig. 2, photograph
Machine 1030 can shoot present image for object.Local image processing equipment 1010 can (wired or nothing by various modes
Line) it is connected with camera 1030.Local image processing equipment 1010 may include memory, for storing local data compression mould
Type, the local image processing equipment selects a pair of present image of multiple reduced rules to be compressed, by the pressure of present image
Contracting data packet is sent to distal end image processing equipment.Distal end image processing equipment 1020 receives the compressed data packets, using remote
End data compact model unzips it compressed data packets, and updates remote data using the image data of decompression and compress mould
Type, to realize synchronous with local data compact model.Local image processing equipment 1010 can be according to present image sum number
One of described reduced rule, the compressed data packets are selected according to the difference between one or more history images in compact model
Including compressing image data and auxiliary data.
Fig. 3 A and 3B respectively illustrate local image processing equipment and distal end image procossing according to an embodiment of the present invention and set
Standby schematic block diagram.As shown in Figure 3A, local image processing equipment 1010 according to an embodiment of the present invention may include first
Controller 1011, the first input/output interface 1013 being connected with the first controller 1011 and with 1011 phase of the first controller
First memory 1015 even.As shown in Figure 3B, it is preferable that distal end image processing equipment 1020 may include second controller
1021, the second input/output interface 1023 being connected with second controller 1021 and be connected with second controller 1021
Two memories 1025.Local data compact model and remote data compact model can be respectively stored in 1015 He of first memory
In second memory 1025.
Local data compact model may include captured one or more history images (original image and/or routine
The image of compressed format), picture number, the characteristic image obtained using history image etc..Data compression model can also include
At least one of following item of information: the number for the object being taken, shoot the image camera number, shoot the image
Camera position and shooting angle, shooting condition (such as time, illumination etc.).It will be understood by those skilled in the art that can
To carry out storing data compact model in any suitable form, for example, look-up table, wherein can be in various manners to history
Image is ranked up and classifies.After primary new shooting action, carried out using present image of the data compression model to shooting
Then the present image newly shot is saved in data compression model by squeeze operation, compress mould to local data to realize
The update of type.Remote data compact model may include content identical with local data compact model, and each time to
When distal end image processing equipment sends new image compression data packet, using remote data compact model to image compression data packet
It unzips it, and updates remote data compact model using the image data of decompression, to realize that remote data compresses mould
Type is synchronous with local data compact model.
About the creation of local data compact model, can be pressed based on camera 1030 at same position with equal angular
One or more history images that object is shot in advance are directed to according to time sequencing, to create local data compact model.For example,
After camera has just been set or there is variation in the position of camera, posture, the history image of shooting can be emptied, again
It is initialized, and by this synchronizing information to remote data compact model.For example, there are two types of sides for the initialization of data compression model
Formula, a kind of mode are, after image is opened in shooting first, which is compressed simultaneously with the conventional image compressions mode such as such as JPEG
It is transmitted to distal end, while the image being saved in shooting history.Another way is, selects representational environment item
Part establishes a diversification and spreadability is good if cloudy day/fine day, 1 year Various Seasonal, one day different moments shoot image
Image history library, as initial data model.
Local image procossing is set according to the form that controller, input/output interface, memory etc. are discrete component above
Standby and distal end image processing equipment is described respectively.It will be understood by those skilled in the art that not office of the embodiment of the present invention
It is limited to this.These discrete components can be embodied as to the form of integration module, as long as being able to achieve corresponding function.Certainly,
Local image processing equipment can also be integrated into camera.
Fig. 4 shows the flow chart of image transfer method according to an embodiment of the present invention.As shown in figure 4, in step S10,
Camera shoots present image for object.Here may exist multiple cameras, at different locations with different angle to this
Object is shot, and each camera application image transfer method according to the present invention is then directed to.
A pair of present image of multiple reduced rules is selected to be pressed using local data compact model in step S20
Contracting.Wherein it is possible to select institute according to the difference between one or more history images in present image and data compact model
State one of reduced rule.
In step S30, remote equipment is sent by the compressed data packets of present image.Compressed data packets may include compression
Image data and auxiliary data, auxiliary data here may include the number of reduced rule, further include other auxiliary datas,
Hereafter it will be described in greater detail.
Then, in step S40, remote equipment receives the compressed data packets, using remote data compact model to compression
Data packet unzips it, and updates remote data compact model using the image data of decompression.
Fig. 5 shows the detail flowchart that reduced rule selects in image transfer method according to an embodiment of the present invention.It connects
The selection of reduced rule according to an embodiment of the present invention will be described in detail with reference to Fig. 5 by getting off.
Firstly, calculating the previous image that present image is shot with the camera as target image in step 203
Consistent block ratio R.The consistent block ratio R of present image and target image can be calculated in the following manner: by present image
N number of piece of identical size is respectively divided into target image, N is greater than 1 integer, such as the size of block can be 256 × 256
Same image is divided into multiple pieces by pixel, this multiple pieces size can be the same or different from each other, as long as identical according to correspondence
Size divides present image and target image；The similarity for calculating the corresponding blocks of present image and target image, by phase
Block like degree greater than predetermined threshold T is defined as the consistent block of present image and target image；And consistent block ratio is defined as
N/N, wherein n is the number of consistent block, and n is greater than the integer equal to 0.For example, predetermined threshold T here can be set to 3/
4, the present invention is not limited thereto, and those skilled in the art can be configured according to the actual situation.For example, similarity can be with
It is the difference or other parameters well known in the art of grey level histogram.
In step 205, determine whether the shooting interval Δ t of present image and previous image is less than predetermined first threshold
T1.If Δ t is less than predetermined first threshold T1 (Y), 207 are thened follow the steps, determines whether consistent block ratio R is greater than predetermined second
Threshold value T2.If consistent block ratio R is greater than predetermined second threshold T2 (Y), 214 are thened follow the steps, selects the first reduced rule.The
One reduced rule may include the first residual image for calculating the previous image of present image and camera shooting, to the first residual error
Image is compressed to obtain compressing image data.Reduced rule number can be distributed to the first reduced rule, for example, 001.
209 are thened follow the steps if shooting interval Δ t is not less than predetermined first threshold T1 (N) in step 205.?
Step 207, if consistent block ratio R is not more than second threshold T2 (N), step 209 is also executed.In step 209, calculate separately
The consistent block ratio R of the present image and one or more history images as target image makes a reservation for when being greater than there are R value
When at least one history image of third threshold value T3 (Y), step 210 is executed, selects the second reduced rule.Second reduced rule can
To include the statistical nature for calculating separately present image Yu at least one history image, statistical nature is selected most to connect with present image
A close history image calculates the second residual image of selected history image and present image as selected history image, right
Second residual image is compressed to obtain compressing image data.Reduced rule number can be distributed to the second reduced rule, for example,
002.Statistical nature may include average brightness, grey level histogram etc..Those skilled in the art can choose other common systems
Count feature.
Step is executed when there is no at least one history image that R value is greater than predetermined third threshold value T3 (N) in step 209
Rapid 212, select third reduced rule.Third reduced rule may include the multiple history images calculated in data compression model
Characteristic image (such as passes through the principal component analysis of image), and present image is expressed as to the linear combination and third of the characteristic image
Then the sum of residual image is compressed to obtain compressing image data to third residual image.The linear combination of characteristic image adds
Weight coefficient by being calculated in real time, to guarantee that this combination is a more excellent approximation of present image.It is specific to calculate
Method is depending on the generation method of characteristic image, such as characteristic image is obtained by principal component analysis, then linear weighted function system
Number is projection coefficient of the present image to each characteristic image.The institute in data compression model can be used in those skilled in the art
There are multiple history images or selected section history image to calculate characteristic image.If selected section historical data, it may be considered that
Selection recently a period of time (such as 10 days) in all images, or using block consistent between image obtain a mutual spacing from compared with
Big image subset, but to ensure that local is consistent with the selection on server.Reduced rule can be distributed to third reduced rule
Number, for example, 003.
For example, first threshold here can be set to 3 minutes, second threshold can be set to 2/3 or the present invention not
It is confined to this, those skilled in the art can be configured according to the actual situation.Here third threshold value T3 can be set to
2/3, the present invention is not limited thereto.
Those skilled in the art be further appreciated that the predetermined threshold T in step 203, the second threshold T2 in step 205 with
And the third threshold value T3 in step 209 each other can be identical or different, those skilled in the art can come according to the actual situation into
Row setting.Preferably, it can be set to be less than or equal to above-mentioned threshold value T and/or second threshold with third threshold value T3, so as to energy
Its statistical nature is enough calculated using more history images.
In the case where selection is using the first reduced rule, present image number, reduced rule can be numbered (such as
001) and the first residual image of compression is packaged as compressed data packets, is sent to distal end image processing equipment 1020.It is selecting
In the case where using the second reduced rule, reduced rule can be numbered to the number and pressure of (such as 002), selected history image
Second residual image of contracting is packaged as compressed data packets, is sent to distal end image processing equipment 1020.Third pressure is used in selection
Contraction ga(u)ge then in the case where, reduced rule can be numbered to the corresponding weighting of (such as 003), the index of characteristic image, characteristic image
Coefficient and the third residual image of compression are packaged as compressed data packets, are sent to distal end image processing equipment 1020.Due to remote
Hold the remote data compact model of image processing equipment synchronous with local data compact model, distal end image processing equipment
Second controller can be according to the auxiliary data provided in compressed data packets, differently using remote data compact model
Decompress corresponding residual image.
In practical applications, the compressed data packets of the present image obtained by one of above first to third reduced rule
Size be possible to be greater than obtained in the way of the conventional compact by JPEG compression present image size.Therefore, according to
The method of the embodiment of the present invention can also include step 216.In step 216, determines and arrive third reduced rule by above first
One of the obtained data volume of the compressed data packets of present image whether be less than and for example obtained in the way of the conventional compacts such as JPEG
To the data volume of compression present image be compared.If the data volume of compressed data packets is not less than the number of conventional compact image
According to amount (N), 218 are thened follow the steps, transmits the present image of such as jpeg format, and to remote image processing equipment directly with this
Various modes well known to field notify that compression image is jpeg format to remote image processing equipment.If the number of compressed data packets
It is less than the data volume (Y) of conventional compact image according to amount, thens follow the steps 220, sends compressed data to remote image processing equipment
Packet.
The embodiment of the present invention has high correlation using position of camera and towards image captured when fixing in terms of content
This feature establishes data compression model using the history image shot before, to realize the more efficient pressure to present image
Contracting reduces the data volume for being transmitted to distal end to reduce the file data amount of present image, improves efficiency of transmission.Meanwhile according to
The image delivering system of the embodiment of the present invention corrects data compression model using present image, to reflect newest scene changes.
In the embodiment above, it should be appreciated by those skilled in the art that controlling the first controller and intelligence in equipment
Second controller in equipment can be realized in various manners.By using block diagram, flow chart and/or example, explain
Numerous embodiments of equipment and/or technique are stated.It include one or more functions in this block diagram, flow chart and/or example
And/or in the case where operation, it will be understood by those skilled in the art that each function in this block diagram, flow chart or example and/
Or operation can be by various hardware, software, firmware or substantially their any combination is come individually and/or common realization.?
In one embodiment, if the stem portion of theme described in the disclosure can pass through specific integrated circuit (ASIC), field programmable gate
Array (FPGA), digital signal processor (DSP) or other integrated formats are realized.However, those skilled in the art should recognize
It arrives, some aspects of embodiments disclosed herein can equally be realized in integrated circuits on the whole or partly, real
Now for run on one or more computer one or more computer programs (for example, be embodied as one or more count
The one or more programs run in calculation machine system), it is embodied as the one or more journeys run on the one or more processors
Sequence (for example, being embodied as the one or more programs run in one or more microprocessors) is embodied as firmware, or essence
On be embodied as any combination of aforesaid way, and those skilled in the art will be provided with design circuit and/or write according to the disclosure
Enter the ability of software and/or firmware code.In addition, it would be recognized by those skilled in the art that the mechanism energy of theme described in the disclosure
Enough be distributed as the program product of diversified forms, and no matter the practical signal bearing medium for being used to execute distribution it is specific
How is type, and the exemplary embodiment of theme described in the disclosure is applicable in.The example of signal bearing medium includes but is not limited to: can
Recordable type medium, such as floppy disk, hard disk drive, compact-disc (CD), digital versatile disc (DVD), digital magnetic tape, computer storage
Deng；And transmission type media, such as number and/or analogue communication medium are (for example, optical fiber cable, waveguide, wired communications links, nothing
Line communication link etc.).
Particular embodiments described above has carried out further in detail the purpose of the present invention, technical scheme and beneficial effects
It describes in detail bright, it should be understood that the above is only a specific embodiment of the present invention, is not intended to restrict the invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in guarantor of the invention
Within the scope of shield.
Claims (6)
1. a kind of image transfer method, comprising:
Camera shoots present image for object；
Using local data compact model, a pair of present image of multiple reduced rules is selected to be compressed；
Remote equipment is sent by the compressed data packets of present image；And
Remote equipment receives the compressed data packets, is unziped it using remote data compact model to compressed data packets, and
Remote data compact model is updated using the image data of decompression；
Wherein, the pressure is selected according to the difference between one or more history images in present image and data compact model
One of then, the compressed data packets include compressing image data and auxiliary data to contraction ga(u)ge；
Wherein, the difference according between present image and one or more history images selects one of described reduced rule packet
It includes:
Calculate the consistent block ratio R for the previous image that present image is shot with the camera as target image；
If the shooting interval Δ t of present image and the previous image is less than first threshold T1, when consistent block ratio R
The first reduced rule is selected when greater than second threshold T2；
Less than the first threshold in the case where the shooting interval Δ t is not less than first threshold T1 and in time interval Δ t
In the case that value T1 but consistent block ratio R are less than or equal to second threshold T2, the present image is calculated separately and as target figure
The consistent block ratio R of one or more history images of picture, when there are at least one history images that R value is greater than third threshold value T3
When select the second reduced rule, when there is no R value be greater than third threshold value T3 history image when select third reduced rule；
First reduced rule includes the first residual image for calculating the previous image of present image and camera shooting, to the
One residual image is compressed to obtain compressing image data；Second reduced rule includes calculating present image and at least one history
The statistical nature of image selects statistical nature and the immediate history image of present image as selected history image, calculates choosing
The second residual image for determining history image and present image, is compressed to obtain compressing image data to the second residual image；The
Three reduced rules include the characteristic image for calculating the history image, and present image is expressed as linear group of the characteristic image
Conjunction and third residual image, are compressed to obtain compressing image data to third residual image；
Wherein, the consistent block ratio of the calculating includes: that present image and target image are respectively divided into the N number of of identical size
Block, N are greater than 1 integer；The similarity for calculating the corresponding blocks of present image and the target image, the similarity is greater than
The block of predetermined threshold T4 is defined as the consistent block of present image and target image；And consistent block ratio is defined as n/N, wherein
N is the number of consistent block, and n is greater than the integer equal to 0.
2. according to the method described in claim 1, wherein, based on the camera at same position with equal angular according to when
Between one or more history images for sequentially being shot in advance for the object, to create the data compression model.
3. according to the method described in claim 1, wherein, it further includes following that the auxiliary data, which includes the number of reduced rule,
At least one of: the number of the index of characteristic image, the linear weighted function coefficient of characteristic image, selected history image.
4. according to the method described in claim 1, further including, if obtained by one of first to third reduced rule current
The size of the compressed data packets of image is greater than the size of the present image of conventional compact format, then directly normal to remote equipment transmission
Advise the present image of compressed format.
5. a kind of image delivering system, comprising:
Camera shoots present image for object；
Local image processing equipment, is connected with camera, including memory, for storing local data compact model, described
Ground image processing equipment selects a pair of present image of multiple reduced rules to be compressed, and the compressed data packets of present image are sent out
It is sent to distal end image processing equipment；And
Distal end image processing equipment, for receiving the compressed data packets, using remote data compact model to compressed data packets
It unzips it, and updates remote data compact model using the image data of decompression；
Wherein, the pressure is selected according to the difference between one or more history images in present image and data compact model
One of then, the compressed data packets include compressing image data and auxiliary data to contraction ga(u)ge；
Wherein, local image processing equipment is configured that
Calculate the consistent block ratio R for the previous image that present image is shot with the camera as target image；
If the shooting interval Δ t of present image and the previous image is less than first threshold T1, when consistent block ratio R
The first reduced rule is selected when greater than second threshold T2；
Less than the first threshold in the case where the shooting interval Δ t is not less than first threshold T1 and in time interval Δ t
In the case that value T1 but consistent block ratio R are less than or equal to second threshold T2, the present image is calculated separately and as target figure
The consistent block ratio R of one or more history images of picture, when there are at least one history images that R value is greater than third threshold value T3
When select the second reduced rule, when there is no R value be greater than third threshold value T3 history image when select third reduced rule；
First reduced rule includes the first residual image for calculating the previous image of present image and camera shooting, to the
One residual image is compressed to obtain compressing image data；Second reduced rule includes calculating present image and at least one history
The statistical nature of image selects statistical nature and the immediate history image of present image as selected history image, calculates choosing
The second residual image for determining history image and present image, is compressed to obtain compressing image data to the second residual image；The
Three reduced rules include the characteristic image for calculating the history image, and present image is expressed as linear group of the characteristic image
Conjunction and third residual image, are compressed to obtain compressing image data to third residual image；
Wherein, calculating consistent block ratio includes: that present image and target image are respectively divided into N number of piece of identical size, and N is
Integer greater than 1；The similarity is greater than predetermined threshold by the similarity for calculating the corresponding blocks of present image and the target image
The block of value T4 is defined as the consistent block of present image and target image；And consistent block ratio is defined as n/N, wherein n is one
The number of block is caused, and n is greater than the integer equal to 0.
6. system according to claim 5, wherein based on the camera at same position with equal angular according to when
Between one or more history images for sequentially being shot in advance for the object, to create the local data compact model.
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