CN107995490A - Signal acquiring method and device - Google Patents
Signal acquiring method and device Download PDFInfo
- Publication number
- CN107995490A CN107995490A CN201711336440.4A CN201711336440A CN107995490A CN 107995490 A CN107995490 A CN 107995490A CN 201711336440 A CN201711336440 A CN 201711336440A CN 107995490 A CN107995490 A CN 107995490A
- Authority
- CN
- China
- Prior art keywords
- signal
- value
- neighborhood
- value range
- quantized
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/124—Quantisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/182—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a pixel
Abstract
This disclosure relates to signal acquiring method and device.This method includes：Migration processing is carried out to original signal according to shifted signal, obtains migration processing signal；By in migration processing signal input quantity device, quantized signal is obtained；For the first object in quantized signal, the quantized value of the object in the neighborhood of the first object, it is candidate's value range that the first object provides to determine the object in the neighborhood；According to the intersection of each candidate's value range, the value range of the first object is determined；According to the value range of the first object, the reconstructed value of the first object is determined.In the disclosure, since the value range of the first object determined according to the intersection of each candidate's value range is less than quantization step, therefore the bit accuracy for the first object rebuild according to the value range is higher than the bit accuracy of the first object in original signal, so as to which on the premise of not upgrading to signal acquisition hardware, the reconstruction signal of higher bit precision is obtained according to the original signal of low bit precision.
Description
Technical field
This disclosure relates to field of computer technology, more particularly to a kind of signal acquiring method and device.
Background technology
At present, although image has a very high spatial resolution, the bit accuracies of most image pixels according to
So only 8 bits.With the development of high dynamic range images technology, and the prevalence of higher bit precision display, people for
The demand of higher bit precision Image becomes increasingly conspicuous.Therefore, the acquisition of higher bit precision Image signal is increasingly becoming image procossing neck
One important research topic in domain.
In correlation technique, the picture signal of higher bit precision is obtained, it is necessary to rely on hardware (the especially electronics such as quantizer
Component) upgrading, technical difficulty is higher, and cost is higher.In the low calculation amount signal acquisition of the low-power consumption such as wearable device
In application scenarios, the cost for directly handling and transmitting the signal of higher bit precision is often unacceptable.
The content of the invention
In view of this, the present disclosure proposes a kind of signal acquiring method and device.
According to the one side of the disclosure, there is provided a kind of signal acquiring method, including：
Migration processing is carried out to original signal according to shifted signal, obtains migration processing signal；
By in the migration processing signal input quantity device, quantized signal is obtained；
For the first object in the quantized signal, the quantized value of the object in the neighborhood of first object,
It is candidate's value range that first object provides to determine the object in the neighborhood, wherein, first object is described
Any one object in quantized signal；
According to the intersection of each candidate's value range, the value range of first object is determined；
According to the value range of first object, the reconstructed value of first object is determined.
In a kind of possible implementation, the quantized value of the object in the neighborhood of first object, determines institute
It is candidate's value range that first object provides to state the object in neighborhood, including：
The quantized value of effective object in the neighborhood of first object, it is each effectively right in the neighborhood to determine
As the candidate's value range provided for first object.
In a kind of possible implementation, the method further includes：
By in the neighborhood with the difference of the quantized value of first object to specify the object in section to be determined as described
Effective object in neighborhood.
In a kind of possible implementation, according to the value range of first object, first object is determined
Reconstructed value, including：
The midpoint of the value range of first object is determined as to the reconstructed value of first object.
It is described before migration processing is carried out to original signal according to shifted signal in a kind of possible implementation
Method further includes：
According to the quantization step of the quantizer, and local correlations parameter, the shifted signal is determined.
According to another aspect of the present disclosure, there is provided a kind of signal acquisition device, including：
Migration processing module, for carrying out migration processing to original signal according to shifted signal, obtains migration processing signal；
Quantization modules, for by the migration processing signal input quantity device, obtaining quantized signal；
First determining module, for for the first object in the quantized signal, according to the neighborhood of first object
In object quantized value, it is candidate's value range that first object provides to determine object in the neighborhood, wherein, institute
The first object is stated as any one object in the quantized signal；
Second determining module, for the intersection according to each candidate's value range, determines taking for first object
It is worth scope；
3rd determining module, for the value range according to first object, determines the reconstructed value of first object.
In a kind of possible implementation, first determining module is used for：
The quantized value of effective object in the neighborhood of first object, it is each effectively right in the neighborhood to determine
As the candidate's value range provided for first object.
In a kind of possible implementation, described device further includes：
4th determining module, for the difference in the neighborhood with the quantized value of first object to be specified in section
Object be determined as effective object in the neighborhood.
In a kind of possible implementation, the 3rd determining module is used for：
The midpoint of the value range of first object is determined as to the reconstructed value of first object.
In a kind of possible implementation, described device further includes：
5th determining module, for the quantization step according to the quantizer, and local correlations parameter, determines described
Shifted signal.
According to another aspect of the present disclosure, there is provided a kind of signal acquisition device, including：Processor；Handled for storage
The memory of device executable instruction；Wherein, the processor is configured as performing the above method.
According to another aspect of the present disclosure, there is provided a kind of non-volatile computer readable storage medium storing program for executing, is stored thereon with
Computer program instructions, wherein, the computer program instructions realize the above method when being executed by processor.
In the signal acquiring method and device of each side of the disclosure, due to the intersection according to each candidate's value range
The value range of the first definite object is less than quantization step, therefore the bit essence for the first object rebuild according to the value range
Degree is higher than the bit accuracy of the first object in original signal, so as in the premise not upgraded to signal acquisition hardware
Under, according to the reconstruction signal of the original signal of low bit precision acquisition higher bit precision.
According to below with reference to the accompanying drawings becoming to detailed description of illustrative embodiments, the further feature and aspect of the disclosure
It is clear.
Brief description of the drawings
Comprising in the description and the attached drawing of a part for constitution instruction and specification together illustrate the disclosure
Exemplary embodiment, feature and aspect, and for explaining the principle of the disclosure.
Fig. 1 shows the flow chart of the signal acquiring method according to one embodiment of the disclosure.
Fig. 2 shows the schematic diagram of the coding side and decoding end in the signal acquiring method according to one embodiment of the disclosure.
Fig. 3 shows an exemplary flow chart of the signal acquiring method according to one embodiment of the disclosure.
Fig. 4 shows the schematic diagram of the design pattern of shifted signal in the signal acquiring method according to one embodiment of the disclosure.
Fig. 5 shows the block diagram of the signal acquisition device according to one embodiment of the disclosure.
Fig. 6 shows an exemplary block diagram of the signal acquisition device according to one embodiment of the disclosure.
Fig. 7 is a kind of block diagram of device 800 for signal acquisition according to an exemplary embodiment.
Embodiment
Describe various exemplary embodiments, feature and the aspect of the disclosure in detail below with reference to attached drawing.It is identical in attached drawing
Reference numeral represent functionally the same or similar element.Although the various aspects of embodiment are shown in the drawings, remove
Non-specifically point out, it is not necessary to attached drawing drawn to scale.
Dedicated word " exemplary " means " being used as example, embodiment or illustrative " herein.Here as " exemplary "
Illustrated any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.
In addition, in order to better illustrate the disclosure, numerous details is given in embodiment below.
It will be appreciated by those skilled in the art that without some details, the disclosure can equally be implemented.In some instances, for
Method, means, element and circuit well known to those skilled in the art are not described in detail, in order to highlight the purport of the disclosure.
Fig. 1 shows the flow chart of the signal acquiring method according to one embodiment of the disclosure.This method can be applied to terminal
In equipment.This method can be used for obtaining any signal with Markov property, for example, can be used for obtaining image letter
Number, voice signal, vision signal or eeg signal etc..As shown in Figure 1, the method comprising the steps of S11 to step S15.
In step s 11, migration processing is carried out to original signal according to shifted signal, obtains migration processing signal.
In a kind of possible implementation, shifted signal can follow minimum mean square error principle and be designed.
In a kind of possible implementation, migration processing is carried out to original signal according to shifted signal, is obtained at offset
Signal is managed, can be included：Original signal S is added with shifted signal D, obtains migration processing signal S+D.
It should be noted that although described exemplified by original signal is added with shifted signal according to shifted signal to original
Beginning signal carries out the specific implementation of migration processing as above, it is understood by one of ordinary skill in the art that the disclosure should be not limited to
This.Those skilled in the art can be flexibly set according to shifted signal to original according to practical application scene and/or personal like
Signal carries out the specific implementation of migration processing.For example, in other possible implementations, can also by original signal with
Shifted signal is subtracted each other, and obtains migration processing signal.
In step s 12, by migration processing signal input quantity device, quantized signal is obtained.
In the present embodiment, by migration processing signal input quantity device, letter is quantified equivalent to the quantizer with offset
Number.
In the present embodiment, the quantization step of quantizer is Q, and quantized signal can be expressed as
In step s 13, for the first object in quantized signal, the quantization of the object in the neighborhood of the first object
Value, it is candidate's value range that the first object provides to determine the object in the neighborhood, wherein, the first object is in quantized signal
Any one object.
In a kind of possible implementation, the object in the neighborhood of the first object includes the first object.
In the present embodiment, it can be assumed that original signal S is on regional area, and except saltus steps such as edges, signal strength is
Flat.Therefore, the quantized value that the object in the neighborhood of the first object obtains after quantizer, can regard as first pair
As providing an interval range information.
By taking original signal S is picture signal as an example, it can be assumed that the picture signal is on regional area, except object edge
Deng saltus step, signal strength is flat.Therefore, can will be with (2K+1) × (2K centered on pixel (i, j) (i.e. the first object)
+ 1) image-region of size is determined as the neighborhood of pixel (i, j), a certain pixel (p, q) (pair i.e. in the neighborhood in the neighborhood
As) quantized value that is obtained after quantizerCan regard as intermediate pixel (i,
J) an interval range information is provided, i.e. pixel (p, q) can be that pixel (i, j) provides candidate's value range, the candidate
Value range can beWherein, S (p, q) represents pixel (p, q)
Original value, D (p, q) represent pixel (p, q) deviant.Wherein, the original value of pixel (p, q) represents picture in original signal S
The value of plain (p, q), the deviant of pixel (p, q) represent the value of pixel (p, q) in shifted signal D, the quantization value table of pixel (p, q)
Show quantized signalThe value of middle pixel (p, q).
In a kind of possible implementation, the quantized value of the object in the neighborhood of the first object, determines the neighborhood
In object be the first object provide candidate's value range, can include：Effective object in the neighborhood of the first object
Quantized value, determine in the neighborhood it is each effectively object be the first object provide candidate's value range.
As an example of the implementation, this method can also include：By the quantization in the neighborhood with the first object
Object of the difference of value in specified section is determined as effective object in the neighborhood.In this example, if the neighbour of the first object
The difference of the quantized value of the quantized value of certain an object and the first object is being specified in section in domain, then may indicate that the object and the
The difference of an object is smaller；If the difference of the quantized value of the quantized value of certain an object and the first object is not in the neighborhood of the first object
Specifying in section, then may indicate that the object and the first object have notable difference.By by the neighborhood of the first object with
The difference of the quantized value of first object is specifying the object in section to be determined as effective object in the neighborhood, can exclude the neighbour
There is the adjacent pixel of notable difference with the first object, so as to improve the accuracy of signal reconstruction in domain.
In step S14, according to the intersection of each candidate's value range, the value range of the first object is determined.
According to line segment takes the characteristic of intersection, the intersection of multiple candidate's value ranges is necessarily less than or equal to quantization step
Q, i.e. the length of the value range of the first object is necessarily less than or equal to quantization step Q.In most cases, multiple candidates
The intersection of value range is less than quantization step Q, i.e. the length of the value range of the first object is less than quantization step Q.Therefore, root
The bit accuracy for the first object rebuild according to the value range of the first object is higher than the bit accuracy of original signal.
Can be the time that the first object provides by each effectively object in the neighborhood in a kind of possible implementation
The intersection of selected value scope, the value range as the first object.
In step S15, according to the value range of the first object, the reconstructed value of the first object is determined.
Wherein, the reconstructed value of the first object represents reconstruction signal S*In the first object value.Believe by image of original signal S
Exemplified by number, the reconstructed value S of pixel (i, j)*(i, j) represents reconstruction signal S*The value of middle pixel (i, j).
In a kind of possible implementation, according to the value range of the first object, the reconstructed value of the first object is determined, can
With including：The midpoint of the value range of first object is determined as to the reconstructed value of the first object.
By taking original signal S is picture signal as an example, if the upper bound of the value range of pixel (i, j) is ub *, lower bound lb *,
It can then determine the reconstructed value of the first object
, can in the case of being less than lower bound in the upper bound of the value range of the first object in a kind of possible implementation
To be determined as unreasonable situation.It is in such a case, it is possible to true according to the deviant of the quantized value of the first object and the first object
The reconstructed value of fixed first object.By taking original signal S is picture signal as an example, it is less than in the upper bound of the value range of pixel (i, j)
Lower bound (i.e. ub *＜ lb *) in the case of, it may be determined that the reconstructed value of pixel (i, j)Wherein,Represent the quantized value of pixel (i, j), D (i, j) represents the deviant of pixel (i, j).
In a kind of possible implementation, step S11 and step S12 can be performed by coding side, and can pass through
Decoding end performs step S13 to step S15.Fig. 2 shows the coding side in the signal acquiring method according to one embodiment of the disclosure
With the schematic diagram of decoding end.As shown in Fig. 2, in coding side, input and quantify after can original signal S be added with shifted signal D
Device, obtains quantized signalIn decoding end, according to quantized signal, can with shifted signal D
To reconstruct reconstruction signal S*.In the implementation, it is the addition and subtraction operation of hardware close friend in coding side and decoding end, has
There is very high practical value.Wherein, the Markov property or can be based on that the method for reconstructing of decoding end can be based on signal
Markov random field etc., is not limited thereto.
In the present embodiment, the reconstruction of all objects in quantized signal can be determined according to step S13 to step S15
Value, so that it is determined that reconstruction signal.By taking original signal S is picture signal as an example, amount can be determined according to step S13 to step S15
Change the reconstructed value of all pixels in signal, so that it is determined that reconstruction signal.
In the present embodiment, since the value range of the first object determined according to the intersection of each candidate's value range is small
In quantization step, therefore the bit accuracy for the first object rebuild according to the value range is higher than the first object in original signal
Bit accuracy, so as on the premise of not upgrading to signal acquisition hardware, according to the original signal of low bit precision
Obtain the reconstruction signal of higher bit precision.
Fig. 3 shows an exemplary flow chart of the signal acquiring method according to one embodiment of the disclosure.As shown in figure 3,
This method can include step S10 to step S15.
In step slo, according to the quantization step of quantizer, and local correlations parameter, shifted signal is determined.
In a kind of possible implementation, formula 1 can be used to determine the d in shifted signal Dk,
Wherein, 1≤k≤(2K+1)2, K expression local correlations parameters, the quantization step of Q expression quantizers.
Fig. 4 shows the schematic diagram of the design pattern of shifted signal in the signal acquiring method according to one embodiment of the disclosure.
For example, as K=1,1≤k≤9, d1=0,
In step s 11, migration processing is carried out to original signal according to shifted signal, obtains migration processing signal.
In step s 12, by migration processing signal input quantity device, quantized signal is obtained.
In step s 13, for the first object in quantized signal, the quantization of the object in the neighborhood of the first object
Value, it is candidate's value range that the first object provides to determine the object in the neighborhood, wherein, the first object is in quantized signal
Any one object.
In step S14, according to the intersection of each candidate's value range, the value range of the first object is determined.
In step S15, according to the value range of the first object, the reconstructed value of the first object is determined.
Fig. 5 shows the block diagram of the signal acquisition device according to one embodiment of the disclosure.As shown in figure 5, the device includes：Partially
Processing module 51 is moved, for carrying out migration processing to original signal according to shifted signal, obtains migration processing signal；Quantization modules
52, for by the migration processing signal input quantity device, obtaining quantized signal；First determining module 53, for for institute
The first object in quantized signal is stated, the quantized value of the object in the neighborhood of first object, determines in the neighborhood
Object be first object provide candidate's value range, wherein, first object be the quantized signal in appoint
One object of meaning；Second determining module 54, for the intersection according to each candidate's value range, determines first object
Value range；3rd determining module 55, for the value range according to first object, determines the weight of first object
Built-in value.
In a kind of possible implementation, first determining module 53 is used for：According to the neighborhood of first object
In effective object quantized value, determine in the neighborhood it is each effectively object be first object provide candidate's value
Scope.
Fig. 6 shows an exemplary block diagram of the signal acquisition device according to one embodiment of the disclosure.As shown in Figure 6：
In a kind of possible implementation, described device further includes：4th determining module 56, for by the neighborhood
Difference with the quantized value of first object is specifying the object in section to be determined as effective object in the neighborhood.
In a kind of possible implementation, the 3rd determining module 55 is used for：By the value model of first object
The midpoint enclosed is determined as the reconstructed value of first object.
In a kind of possible implementation, described device further includes：5th determining module 57, for according to the quantization
The quantization step of device, and local correlations parameter, determine the shifted signal.
In the present embodiment, since the value range of the first object determined according to the intersection of each candidate's value range is small
In quantization step, therefore the bit accuracy for the first object rebuild according to the value range is higher than the first object in original signal
Bit accuracy, so as on the premise of not upgrading to signal acquisition hardware, according to the original signal of low bit precision
Obtain the reconstruction signal of higher bit precision.
Fig. 7 is a kind of block diagram of device 800 for signal acquisition according to an exemplary embodiment.For example, dress
It can be mobile phone to put 800, computer, digital broadcast terminal, messaging devices, game console, tablet device, medical treatment
Equipment, body-building equipment, personal digital assistant etc..
With reference to Fig. 7, device 800 can include following one or more assemblies：Processing component 802, memory 804, power supply
Component 806, multimedia component 808, audio component 810, the interface 812 of input/output (I/O), sensor component 814, and
Communication component 816.
The integrated operation of the usual control device 800 of processing component 802, such as with display, call, data communication, phase
The operation that machine operates and record operation is associated.Processing component 802 can refer to including one or more processors 820 to perform
Order, to complete all or part of step of above-mentioned method.In addition, processing component 802 can include one or more modules, just
Interaction between processing component 802 and other assemblies.For example, processing component 802 can include multi-media module, it is more to facilitate
Interaction between media component 808 and processing component 802.
Memory 804 is configured as storing various types of data to support the operation in device 800.These data are shown
Example includes the instruction of any application program or method for being operated on device 800, and contact data, telephone book data, disappears
Breath, picture, video etc..Memory 804 can be by any kind of volatibility or non-volatile memory device or their group
Close and realize, as static RAM (SRAM), electrically erasable programmable read-only memory (EEPROM) are erasable to compile
Journey read-only storage (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory, flash
Device, disk or CD.
Power supply module 806 provides electric power for the various assemblies of device 800.Power supply module 806 can include power management system
System, one or more power supplys, and other components associated with generating, managing and distributing electric power for device 800.
Multimedia component 808 is included in the screen of one output interface of offer between described device 800 and user.One
In a little embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch-screen, to receive input signal from the user.Touch panel includes one or more touch sensings
Device is to sense the gesture on touch, slip and touch panel.The touch sensor can not only sense touch or sliding action
Border, but also detect and the duration and pressure associated with the touch or slide operation.In certain embodiments, more matchmakers
Body component 808 includes a front camera and/or rear camera.When device 800 is in operator scheme, such as screening-mode or
During video mode, front camera and/or rear camera can receive exterior multi-medium data.Each front camera and
Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 810 is configured as output and/or input audio signal.For example, audio component 810 includes a Mike
Wind (MIC), when device 800 is in operator scheme, during such as call model, logging mode and speech recognition mode, microphone by with
It is set to reception external audio signal.The received audio signal can be further stored in memory 804 or via communication set
Part 816 is sent.In certain embodiments, audio component 810 further includes a loudspeaker, for exports audio signal.
I/O interfaces 812 provide interface between processing component 802 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and lock
Determine button.
Sensor component 814 includes one or more sensors, and the state for providing various aspects for device 800 is commented
Estimate.For example, sensor component 814 can detect opening/closed mode of device 800, and the relative positioning of component, for example, it is described
Component is the display and keypad of device 800, and sensor component 814 can be with 800 1 components of detection device 800 or device
Position change, the existence or non-existence that user contacts with device 800,800 orientation of device or acceleration/deceleration and device 800
Temperature change.Sensor component 814 can include proximity sensor, be configured to detect without any physical contact
Presence of nearby objects.Sensor component 814 can also include optical sensor, such as CMOS or ccd image sensor, for into
As being used in application.In certain embodiments, which can also include acceleration transducer, gyro sensors
Device, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 816 is configured to facilitate the communication of wired or wireless way between device 800 and other equipment.Device
800 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.In an exemplary implementation
In example, communication component 816 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 816 further includes near-field communication (NFC) module, to promote junction service.Example
Such as, in NFC module radio frequency identification (RFID) technology can be based on, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology,
Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 800 can be believed by one or more application application-specific integrated circuit (ASIC), numeral
Number processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for performing the above method.
In the exemplary embodiment, a kind of non-volatile computer readable storage medium storing program for executing is additionally provided, such as including calculating
The memory 804 of machine programmed instruction, above computer programmed instruction can be performed above-mentioned to complete by the processor 820 of device 800
Method.
The disclosure can be system, method and/or computer program product.Computer program product can include computer
Readable storage medium storing program for executing, containing for making processor realize the computer-readable program instructions of various aspects of the disclosure.
Computer-readable recording medium can keep and store to perform the tangible of the instruction that uses of equipment by instruction
Equipment.Computer-readable recording medium for example can be-- but be not limited to-- storage device electric, magnetic storage apparatus, optical storage
Equipment, electromagnetism storage device, semiconductor memory apparatus or above-mentioned any appropriate combination.Computer-readable recording medium
More specifically example (non exhaustive list) includes：Portable computer diskette, hard disk, random access memory (RAM), read-only deposit
It is reservoir (ROM), erasable programmable read only memory (EPROM or flash memory), static RAM (SRAM), portable
Compact disk read-only storage (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, for example thereon
It is stored with punch card or groove internal projection structure and the above-mentioned any appropriate combination of instruction.Calculating used herein above
Machine readable storage medium storing program for executing is not interpreted instantaneous signal in itself, and the electromagnetic wave of such as radio wave or other Free propagations, lead to
Cross the electromagnetic wave (for example, the light pulse for passing through fiber optic cables) of waveguide or the propagation of other transmission mediums or transmitted by electric wire
Electric signal.
Computer-readable program instructions as described herein can be downloaded to from computer-readable recording medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, LAN, wide area network and/or wireless network
Portion's storage device.Network can include copper transmission cable, optical fiber is transmitted, is wirelessly transferred, router, fire wall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
For perform the disclosure operation computer program instructions can be assembly instruction, instruction set architecture (ISA) instruction,
Machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programming languages
The source code or object code that any combination is write, programming language of the programming language including object-oriented-such as
Smalltalk, C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer
Readable program instructions fully can on the user computer perform, partly perform on the user computer, be only as one
Vertical software kit performs, part performs or completely in remote computer on the remote computer on the user computer for part
Or performed on server.In the situation of remote computer is related to, remote computer can pass through network-bag of any kind
LAN (LAN) or wide area network (WAN)-be connected to subscriber computer are included, or, it may be connected to outer computer (such as profit
Pass through Internet connection with ISP).In certain embodiments, by using computer-readable program instructions
Status information carry out personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or can
Programmed logic array (PLA) (PLA), the electronic circuit can perform computer-readable program instructions, so as to fulfill each side of the disclosure
Face.
Referring herein to the method, apparatus (system) according to the embodiment of the present disclosure and the flow chart of computer program product and/
Or block diagram describes various aspects of the disclosure.It should be appreciated that each square frame and flow chart of flow chart and/or block diagram and/
Or in block diagram each square frame combination, can be realized by computer-readable program instructions.
These computer-readable program instructions can be supplied to all-purpose computer, special purpose computer or other programmable datas
The processor of processing unit, so as to produce a kind of machine so that these instructions are passing through computer or other programmable datas
When the processor of processing unit performs, generate and realize work(specified in one or more of flow chart and/or block diagram square frame
The device of energy/action.These computer-readable program instructions can also be stored in a computer-readable storage medium, these refer to
Order causes computer, programmable data processing unit and/or other equipment to work in a specific way, so that, it is stored with instruction
Computer-readable medium then includes a manufacture, it includes realizing in one or more of flow chart and/or block diagram square frame
The instruction of the various aspects of defined function/action.
Computer-readable program instructions can also be loaded into computer, other programmable data processing units or other
In equipment so that series of operation steps is performed on computer, other programmable data processing units or miscellaneous equipment, with production
Raw computer implemented process, so that performed on computer, other programmable data processing units or miscellaneous equipment
Function/action specified in one or more of flow chart and/or block diagram square frame is realized in instruction.
Flow chart and block diagram in attached drawing show the system, method and computer journey of multiple embodiments according to the disclosure
Architectural framework in the cards, function and the operation of sequence product.At this point, each square frame in flow chart or block diagram can generation
One module of table, program segment or a part for instruction, the module, program segment or a part for instruction include one or more use
In the executable instruction of logic function as defined in realization.At some as the function of in the realization replaced, being marked in square frame
Can be with different from the order marked in attached drawing generation.For example, two continuous square frames can essentially be held substantially in parallel
OK, they can also be performed in the opposite order sometimes, this is depending on involved function.It is also noted that block diagram and/or
The combination of each square frame and block diagram in flow chart and/or the square frame in flow chart, can use function or dynamic as defined in performing
The dedicated hardware based system made is realized, or can be realized with the combination of specialized hardware and computer instruction.
The presently disclosed embodiments is described above, described above is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.In the case of without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport
Best explain the principle of each embodiment, practical application or technological improvement to the technology in market, or lead this technology
Other those of ordinary skill in domain are understood that each embodiment disclosed herein.
Claims (12)
- A kind of 1. signal acquiring method, it is characterised in that including：Migration processing is carried out to original signal according to shifted signal, obtains migration processing signal；By in the migration processing signal input quantity device, quantized signal is obtained；For the first object in the quantized signal, the quantized value of the object in the neighborhood of first object, determines Object in the neighborhood is candidate's value range that first object provides, wherein, first object is the quantization Any one object in signal；According to the intersection of each candidate's value range, the value range of first object is determined；According to the value range of first object, the reconstructed value of first object is determined.
- 2. the according to the method described in claim 1, it is characterized in that, quantization of the object in the neighborhood of first object Value, it is candidate's value range that first object provides to determine the object in the neighborhood, including：The quantized value of effective object in the neighborhood of first object, determines that each effectively object in the neighborhood is Candidate's value range that first object provides.
- 3. according to the method described in claim 2, it is characterized in that, the method further includes：The object in section is being specified to be determined as the neighborhood difference in the neighborhood with the quantized value of first object In effective object.
- 4. according to the method described in claim 1, it is characterized in that, according to the value range of first object, determine described The reconstructed value of first object, including：The midpoint of the value range of first object is determined as to the reconstructed value of first object.
- 5. according to the method described in claim 1, it is characterized in that, migration processing is being carried out to original signal according to shifted signal Before, the method further includes：According to the quantization step of the quantizer, and local correlations parameter, the shifted signal is determined.
- A kind of 6. signal acquisition device, it is characterised in that including：Migration processing module, for carrying out migration processing to original signal according to shifted signal, obtains migration processing signal；Quantization modules, for by the migration processing signal input quantity device, obtaining quantized signal；First determining module, for for the first object in the quantized signal, according in the neighborhood of first object The quantized value of object, it is candidate's value range that first object provides to determine object in the neighborhood, wherein, described the An object is any one object in the quantized signal；Second determining module, for the intersection according to each candidate's value range, determines the value model of first object Enclose；3rd determining module, for the value range according to first object, determines the reconstructed value of first object.
- 7. device according to claim 6, it is characterised in that first determining module is used for：The quantized value of effective object in the neighborhood of first object, determines that each effectively object in the neighborhood is Candidate's value range that first object provides.
- 8. device according to claim 7, it is characterised in that described device further includes：4th determining module, for the difference in the neighborhood with the quantized value of first object to be specified pair in section As the effective object being determined as in the neighborhood.
- 9. device according to claim 6, it is characterised in that the 3rd determining module is used for：The midpoint of the value range of first object is determined as to the reconstructed value of first object.
- 10. device according to claim 6, it is characterised in that described device further includes：5th determining module, for the quantization step according to the quantizer, and local correlations parameter, determines the offset Signal.
- A kind of 11. signal acquisition device, it is characterised in that including：Processor；For storing the memory of processor-executable instruction；Wherein, the processor is configured as the method described in any one in perform claim requirement 1 to 5.
- 12. a kind of non-volatile computer readable storage medium storing program for executing, is stored thereon with computer program instructions, it is characterised in that institute State the method realized when computer program instructions are executed by processor in claim 1 to 5 described in any one.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711336440.4A CN107995490A (en) | 2017-12-14 | 2017-12-14 | Signal acquiring method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711336440.4A CN107995490A (en) | 2017-12-14 | 2017-12-14 | Signal acquiring method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107995490A true CN107995490A (en) | 2018-05-04 |
Family
ID=62038430
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711336440.4A Pending CN107995490A (en) | 2017-12-14 | 2017-12-14 | Signal acquiring method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107995490A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1399229A (en) * | 2001-07-24 | 2003-02-26 | 精工爱普生株式会社 | Image processor, image processing program and image processing method |
| CN101473346A (en) * | 2006-04-12 | 2009-07-01 | 法国卓然 | Method and device for zooming Robust super-resolution video |
| CN103369341A (en) * | 2013-07-09 | 2013-10-23 | 宁波大学 | Post-processing method of range image |
| CN103843345A (en) * | 2011-10-17 | 2014-06-04 | 株式会社东芝 | Encoding method and decoding method |
-
2017
- 2017-12-14 CN CN201711336440.4A patent/CN107995490A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1399229A (en) * | 2001-07-24 | 2003-02-26 | 精工爱普生株式会社 | Image processor, image processing program and image processing method |
| CN101473346A (en) * | 2006-04-12 | 2009-07-01 | 法国卓然 | Method and device for zooming Robust super-resolution video |
| CN103843345A (en) * | 2011-10-17 | 2014-06-04 | 株式会社东芝 | Encoding method and decoding method |
| CN103369341A (en) * | 2013-07-09 | 2013-10-23 | 宁波大学 | Post-processing method of range image |
Non-Patent Citations (1)
| Title |
|---|
| PENGFEI WAN ET AL.: "HIGH BIT-PRECISION IMAGE ACQUISITION AND RECONSTRUCTION BY PLANNED SENSOR DISTORTION", 《2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107944409A (en) | video analysis method and device | |
| CN107944447B (en) | Image classification method and device | |
| CN106792170A (en) | Method for processing video frequency and device | |
| CN104731688B (en) | Point out the method and device of reading progress | |
| CN107948708A (en) | Barrage methods of exhibiting and device | |
| CN108833939A (en) | Generate the method and device of the poster of video | |
| CN107692997A (en) | Heart rate detection method and device | |
| CN107679533A (en) | Character recognition method and device | |
| CN108737891A (en) | Video material processing method and processing device | |
| CN107895190A (en) | The weights quantization method and device of neural network model | |
| CN107508573A (en) | Crystal oscillator oscillation frequency correction method and device | |
| CN106899875A (en) | The display control method and device of plug-in captions | |
| CN107943550A (en) | Method for showing interface and device | |
| CN107797741A (en) | Method for showing interface and device | |
| CN110322532A (en) | The generation method and device of dynamic image | |
| CN107122430A (en) | Search result display methods and device | |
| CN110121106A (en) | Video broadcasting method and device | |
| CN109819288A (en) | Determination method, apparatus, electronic equipment and the storage medium of advertisement dispensing video | |
| CN108540850A (en) | Barrage display methods and device | |
| CN106991018A (en) | The method and device of changing an interface skin | |
| CN110135349A (en) | Recognition methods, device, equipment and storage medium | |
| CN106599191A (en) | User attribute analysis method and device | |
| CN108171222A (en) | A kind of real-time video sorting technique and device based on multithread neural network | |
| CN108984628B (en) | Loss value obtaining method and device of content description generation model | |
| CN106782576A (en) | audio mixing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180504 |
|
| RJ01 | Rejection of invention patent application after publication |