CN110430340A - A kind of noise-reduction method and system of pulse array signals - Google Patents
A kind of noise-reduction method and system of pulse array signals Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N5/14—Picture signal circuitry for video frequency region
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Abstract
The invention discloses a kind of noise-reduction methods of pulse array signals, it include: that the spatial neighborhood for treating denoising pulse and the granting characteristics of the pulse array signals on timestamp neighborhood are modeled, the granting characteristic model of pulse array signals is established, pulse array signals spatial-temporal distribution characteristic is extracted；According to the noise profile characteristic in pulse array signals, space time filter is constructed, the feature of extraction is filtered；According to the granting characteristic model, filtered pulse spatial-temporal distribution characteristic is reduced to pulse array signals.The present invention has fully considered spatial-temporal distribution characteristic of the noise in pulse array signals, randomness on its transitivity in the time domain, airspace is modeled, in conjunction with the physical significance that pulse itself represents, space time filter is constructed and pulse signal is efficiently denoised, it is high-efficient, excellent noise reduction effect.
Description
Technical field
The present invention relates to signal processing technology fields, and in particular to a kind of noise-reduction method and system of pulse array signals.
Background technique
Traditional visual sensor carries out complete sample to scene usually as unit of frame, according to preset fixed frequency.
This sampling based on fixed frame per second, cannot reflect the dynamic change of scene, be easy to lead current scene over-sampling or lack sampling
Cause the problems such as video data redundancy is big, time resolution is low, easily fuzzy under high-speed motion.It is inspired in the vision of biological retina
Sampling mechanism, the Novel camera of acquisition pulse array signal enters the people visual field, including provides arteries and veins based on intensity of illumination variation
The sensor for rushing signal, such as dynamic visual sensor (Dynamic Vision Sensor, DVS), the image based on asynchronous time
Sensor (Asynchronous Time-based image Sensor, ATIS), dynamic active pixel visual sensor
(Dynamic and Active Pixel Vision Sensor, DAVIS) etc. provides signal based on intensity of illumination integrated intensity
Sensor, such as light intensity accumulate sensor.The sensor of this video camera acquires certain time, optical signal in certain area
Information has many advantages, such as high dynamic range, high time resolution.
Noise is an important problem in field of signal processing.Pulse array signals have high temporal resolution,
Temporal correlation between signal is stronger, and influence of noise has the characteristics that the transitivity in time domain, the randomness on airspace.With biography
System image and signal denoising difference, denoise pulse array signals, need the characteristics of fully considering pulse signal and physics
Meaning efficiently handles a large amount of pulse data.
Summary of the invention
One purpose of the disclosure is to provide a kind of new technical solution of the noise reduction of pulse array signals.In order to disclosure
The some aspects of embodiment have a basic understanding, simple summary is shown below.The summarized section is not generally to comment
It states, nor to determine key/critical component or describe the protection scope of these embodiments.Its sole purpose is with simple
Form some concepts are presented, in this, as the preamble of following detailed description.
According to a first aspect of the embodiments of the present invention, a kind of noise-reduction method of pulse array signals is provided, comprising: treat
It makes an uproar the spatial neighborhood of pulse and the granting characteristic of the pulse array signals on timestamp neighborhood is modeled, establish pulse array letter
Number granting characteristic model, extract pulse array signals spatial-temporal distribution characteristic；
According to the noise profile characteristic in pulse array signals, space time filter is constructed, the feature of extraction is filtered；
According to the granting characteristic model, filtered pulse spatial-temporal distribution characteristic is reduced to pulse array signals.
Further, the pulse to be denoised is specific pulse on time-space domain, is in a certain specific pixel, from a certain
Impulse response sending starts, one section of pulse signal before occurring to next pulse response.
Further, the noise profile characteristic according in pulse array signals constructs space time filter, to extraction
Feature be filtered, comprising:
Pulse array signals of the pulse to be denoised on spatial neighborhood and timestamp neighborhood are set as its first field of search
Domain；
Pulse array signals in the first region of search are analyzed, the pulse release information of several pulse trains are obtained, according to arteries and veins
Release information is rushed to obtain each pulse expression feature or convert transform domain extraction feature for pulse release information；
The pulse array signals that first region of search includes are converted to pulse strength, on pulse strength domain, are calculated special
Determine the similarity of other pulses in pulse and the first region of search, set first threshold, retains similarity in the first region of search
Greater than the pulse of first threshold, it is denoted as the second region of search；
For the second region of search, second threshold is set, judges whether the number of pulses in the second region of search is greater than the
Two threshold values；If so, being estimated using the pulse pair pulse to be denoised in the second region of search, and it is replaced using estimated value
Former intensity；If it is not, then subtracting the second region of search using the first region of search, third region of search is obtained, is searched for using third
Pulse pair pulse to be denoised in region is estimated, and replaces its former intensity using estimated value.
Further, obtaining each pulse according to pulse release information indicates feature, are as follows: according to pulse Time Of Release interval
It determines pulse strength, or pulse strength is determined according to the inverse at pulse Time Of Release interval, or according to pulse Time Of Release interval
Logarithm determine pulse strength.
Further, the similarity of the calculating certain pulses and other pulses in the first region of search, comprising: calculate
The variance of pulse strength in region of search determines a confidence interval according to the intensity size of variance and pulse to be denoised, according to
Distribution situation of the pulse in confidence interval determines similarity.
Further, the first threshold, second threshold are dynamically set according to neighborhood pulse relationship, to adapt to difference
Pulse data.
Further, the first threshold is different from the second threshold.
Further, the pulse pair pulse to be denoised in second region of search of use is estimated, including but not
It is limited to: weighted mean method, Neighborhood Filtering method.
Further, the denoising pulse for the treatment of is estimated as being estimated by filter, space time filter
Weight or convolution kernel assign bigger value to the pulse closer to pulse to be denoised.
Further, according to the granting characteristic model, filtered pulse spatial-temporal distribution characteristic is reduced to pulse battle array
Column signal, comprising: the intensity value of certain pulses adjusted is reverted into pulse array signals according to pulse sequence relationship,
Method is the inverse operation that each pulse expression feature this operation step is obtained according to pulse release information.
According to a second aspect of the embodiments of the present invention, a kind of noise reduction system of pulse array signals is provided, which is characterized in that
Include:
Extraction module is modeled, the pulse array signals on spatial neighborhood and timestamp neighborhood for treating denoising pulse
It provides characteristic to be modeled, establishes the granting characteristic model of pulse array signals, extract pulse array signals spatial-temporal distribution characteristic；
Filter module, for space time filter being constructed, to extraction according to the noise profile characteristic in pulse array signals
Feature is filtered；
Recovery module, for according to the granting characteristic model, filtered pulse spatial-temporal distribution characteristic to be reduced to arteries and veins
Rush array signal.
According to a third aspect of the embodiments of the present invention, a kind of noise reduction system of pulse array signals is provided, for realizing upper
The method stated, the system include: sequentially connected neighborhood search module, pulse analysis and conversion module, similarity estimation module
With pulse denoising and recombination module；
The neighborhood search module obtains target search region for searching for the neighborhood pulse array data of target pulse；
The pulse analysis and conversion module obtain each arteries and veins for corresponding to each pixel search region for analyzing pulse data
The pulse release information of sequence is rushed, and is converted into pulse strength；
The similarity estimation module, for calculating the intensity similarity of each pulse and target pulse in region of search；
The pulse denoising and recombination module, for being denoised to target pulse, and the pulse data weight after denoising
Group is pulse array signals.
According to a fourth aspect of the embodiments of the present invention, a kind of electronic equipment is provided, including memory, processor and is stored in
On the memory and the computer program that can run on the processor, the processor execute described program, to realize
Above-mentioned method.
According to a fifth aspect of the embodiments of the present invention, a kind of non-transitorycomputer readable storage medium is provided, is deposited thereon
Computer program is contained, which is executed by processor, to realize above-mentioned method.
Technical solution provided in an embodiment of the present invention can include the following benefits:
The noise-reduction method and system of pulse array signals provided by the invention, for specific arteries and veins to be denoised on time-space domain
A certain range of pulse array signals on its spatial neighborhood and timestamp neighborhood, are converted into pulse strength information by punching；Meter
The similarity for calculating pulse to be denoised Yu neighborhood pulse is filtered using the intensity of neighborhood pulse pair pulse to be denoised；For adjusting
The intensity value of certain pulses after whole reverts to pulse array signals according to its pulse sequence relationship；The present invention fully considers
Spatial-temporal distribution characteristic of the noise in pulse array signals builds the randomness on its transitivity in the time domain, airspace
Mould constructs space time filter and is efficiently denoised to pulse signal in conjunction with the physical significance that pulse itself represents, high-efficient, drop
Effect of making an uproar is good.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It is clear that alternatively, Partial Feature and advantage can deduce from specification or unambiguously determine, or pass through implementation
The embodiment of the present invention understands.The objectives and other advantages of the invention can be by written specification, claims and attached
Specifically noted structure is achieved and obtained in figure.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The some embodiments recorded in invention, for those of ordinary skill in the art, without creative efforts,
It is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow chart of the noise-reduction method of the pulse array signals of one embodiment of the disclosure；
Fig. 2 is a kind of step schematic diagram of the noise-reduction method for pulse array signals that another embodiment of the disclosure provides；
Fig. 3 is that a kind of space-time neighborhood selection of the noise-reduction method for pulse array signals that another embodiment of the disclosure provides is shown
It is intended to；
Fig. 4 is pulse signal and the pulse of a kind of noise-reduction method for pulse array signals that another embodiment of the disclosure provides
Strength relationship exemplary diagram；
Fig. 5 is a kind of structural block diagram of the noise reduction system for pulse array signals that another embodiment of the disclosure provides.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawing and specific implementation
The present invention will be further described for example.It should be appreciated that described herein, specific examples are only used to explain the present invention, and does not have to
It is of the invention in limiting.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
As shown in Figure 1, one embodiment of the disclosure, provides a kind of noise-reduction method of pulse array signals, comprising:
Step S1: treat denoising pulse spatial neighborhood and the pulse array signals on timestamp neighborhood granting characteristic into
Row modeling, establishes the granting characteristic model of pulse array signals, extracts pulse array signals spatial-temporal distribution characteristic.
The pulse to be denoised is specific pulse on time-space domain；Specific pulse, is defined as on the time-space domain,
One section of pulse signal in a certain specific pixel, since issuing a certain impulse response, before occurring to next pulse response.
The spatial neighborhood and timestamp neighborhood, spatial neighborhood are four neighborhoods, eight neighborhood or other relationships, and timestamp is adjacent
Domain is that can use the bigger radius of neighbourhood of space neighborhood as unit of pulse.
Step S2: according to the noise profile characteristic in pulse array signals, constructing space time filter, to the feature of extraction into
Row filtering；Step S2 is specifically included:
Step S21: for specifically pulse to be denoised on time-space domain, it is set on spatial neighborhood and timestamp neighborhood
A certain range of pulse array signals are as its first region of search；The side of the desirable smaller such as 2*2 or 4*4 of its spatial neighborhood
The circle that block or radius are 1.5 or 2, is also possible to biggish neighborhood；Its timestamp neighborhood is generally bigger than spatial neighborhood range, with
Adapt to the high time resolution of pulse array signals；
Step S22: letter is provided in pulse array signals in the first region of search of analysis, the pulse for obtaining several pulse trains
Breath obtains each pulse expression feature or converts transform domain for pulse release information and extracts feature according to pulse release information；
The method that each pulse indicates feature is obtained according to pulse release information, it can be with are as follows: according between pulse Time Of Release
Pulse strength is determined every determining pulse strength, or according to the inverse at pulse Time Of Release interval, or according between pulse Time Of Release
Every logarithm determine pulse strength；Timestamp neighborhood is that can use the bigger radius of neighbourhood of space neighborhood as unit of pulse；
Step S23: for the first region of search, it includes pulse array signals be converted to pulse strength, in pulse
In intensity domain, the similarity of other pulses in certain pulses and the first region of search is calculated, sets first threshold, retains first and searches
Similarity is greater than the pulse of first threshold in rope region, is denoted as the second region of search；
Step S24: for the second region of search, second threshold is set, judges that the number of pulses in the second region of search is
It is no to be greater than second threshold；
If the number of pulses in the second region of search is greater than second threshold, the pulse pair in the second region of search is used
Pulse to be denoised is estimated, and replaces its former intensity using estimated value；
If the number of pulses in the second region of search is less than second threshold, second is subtracted using the first region of search and is searched
Rope region obtains third region of search, is estimated using the pulse pair pulse to be denoised in third region of search, and use is estimated
Evaluation replaces its former intensity.
The similarity of other pulses in the calculating certain pulses and the first region of search, comprising: calculate region of search
The variance of interior pulse strength determines a confidence interval according to the intensity size of variance and pulse to be denoised, is being set according to pulse
Distribution situation in letter section determines similarity.
The first threshold, second threshold are dynamically set according to neighborhood pulse relationship, to adapt to different pulse number evidence.
The first threshold is different from the second threshold.
Pulse pair pulse to be denoised in second region of search of use is estimated that including but not limited to weighting is flat
Equal method, Neighborhood Filtering method etc..
It is described to treat denoising pulse and be estimated as being estimated by filter, the weight or convolution kernel of filter
Bigger value is assigned to the pulse closer to pulse to be denoised.
Step S3: according to the granting characteristic model for the pulse array signals established in step S1, when filtered pulse
Empty distribution characteristics is reduced to pulse array signals；That is: by the intensity value of certain pulses adjusted, according to pulse sequence relationship,
Revert to pulse array signals.The intensity value by certain pulses adjusted reverts to arteries and veins according to pulse sequence relationship
Array signal is rushed, method is to obtain each pulse according to pulse release information described in step S22 to indicate feature this operation
The inverse operation of step.
A kind of noise reduction system of pulse array signals, comprising:
Extraction module is modeled, the pulse array signals on spatial neighborhood and timestamp neighborhood for treating denoising pulse
It provides characteristic to be modeled, establishes the granting characteristic model of pulse array signals, extract pulse array signals spatial-temporal distribution characteristic；
Filter module, for space time filter being constructed, to extraction according to the noise profile characteristic in pulse array signals
Feature is filtered；
Recovery module, for according to the granting characteristic model, filtered pulse spatial-temporal distribution characteristic to be reduced to arteries and veins
Rush array signal.
A kind of electronic equipment, including memory, processor and be stored on the memory and can be on the processor
The computer program of operation, the processor executes described program, to realize noise-reduction method described above.
A kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is held by processor
Row, to realize noise-reduction method described above.
According to presently filed embodiment, a kind of noise-reduction method of pulse array signals is proposed, as shown in Figure 2, comprising:
A certain range of pulse array letter according to pulse position to be denoised, on its spatial neighborhood and timestamp neighborhood
Number it is used as its first region of search, as shown in figure 3, selecting eight neighborhood or radius for 1.5 circle is spatial neighborhood
SpatialRange；Assuming that it is t that pulse pair to be denoised, which answers time interval, select 5*t as timestamp neighborhood TimeRange；Really
Fixed first region of search.
Pulse array signals in first region of search are converted to pulse strength, as shown in Figure 4；
Calculate all pulse strengties in the first region of search and and quadratic sum, and calculate mean value；
Calculate the whole variance and standard deviation of pulse in the first region of search；
Assuming that number of pulses is M, the standard deviation sigma of pulse strength information, scale coefficient k, setting the in the first region of search
One threshold value T1=k* σ.Assuming that the intensity of pulse to be denoised is P, confidence interval bound is calculated according to average value, confidence area is set
Between be [p-k* σ, p+k* σ].
The pulse in the first region of search is traversed again, counts the number of pulses in confidence interval.
Be arranged second threshold T2=M/10, if meet condition umber of pulse be less than T2, by current PRF and it is all
Pulse in confidence interval excludes, and takes other interior pulse strength average values of the first region of search S1 as the result P ' after denoising:
Wherein, num (S) is the quantity of pulse in the S of region.The intersection of a ∩ b expression region a and region b.It indicates not
Belong to the region of S.
If the umber of pulse for meeting condition is greater than T2, all pulses for meeting condition in the first region of search are taken, are remembered
For the second region of search, the average intensity value of pulse in the second region of search S2 is calculated, the denoising result P ' as target pulse:
It should be noted that the mode for solving final result can also be uneven by setting according to the distance of distance objective pulse
Even weight can obtain better effect in some cases.
After the completion of current PRF denoising, the pulse of next position is denoised using the above method, until traversing pulse battle array
All positions in column signal.
As shown in figure 5, a kind of noise reduction system of pulse array signals, for realizing noise-reduction method described in the present embodiment,
The system includes: sequentially connected neighborhood search module, pulse analysis and conversion module, similarity estimation module and pulse denoising
And recombination module；
The neighborhood search module obtains target search region for searching for the neighborhood pulse array data of target pulse；
The pulse analysis and conversion module obtain each arteries and veins for corresponding to each pixel search region for analyzing pulse data
The pulse release information of sequence is rushed, and is converted into pulse strength；
The similarity estimation module, for calculating the intensity similarity of each pulse and target pulse in region of search；
The pulse denoising and recombination module, for being denoised to target pulse, and the pulse data weight after denoising
Group is pulse array signals.
Term " module " is not intended to be limited to specific physical form.Depending on concrete application, module be can be implemented as firmly
Part, firmware, software and/or combination thereof.In addition, different modules can share common component or even be realized by same components.
May exist between disparate modules or there is no clear boundaries.
It should be understood that although each step in the flow chart of attached drawing is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, can execute in the other order.Moreover, at least one in the flow chart of attached drawing
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, execution sequence, which is also not necessarily, successively to be carried out, but can be with other
At least part of the sub-step or stage of step or other steps executes in turn or alternately.
Algorithm and display be not inherently related to any certain computer, virtual bench or other equipment provided herein.
Various fexible units can also be used together with teachings based herein.As described above, it constructs required by this kind of device
Structure be obvious.In addition, the present invention is also not directed to any particular programming language.It should be understood that can use various
Programming language realizes summary of the invention described herein, and the description done above to language-specific is to disclose this hair
Bright preferred forms.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of the various inventive aspects, In
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect
Shield the present invention claims features more more than feature expressly recited in each claim.More precisely, as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself
All as a separate embodiment of the present invention.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment
Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any
Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power
Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
Meaning one of can in any combination mode come using.
Various component embodiments of the invention can be implemented in hardware, or to run on one or more processors
Software module realize, or be implemented in a combination thereof.It will be understood by those of skill in the art that can be used in practice
One in the creating device of microprocessor or digital signal processor (DSP) to realize virtual machine according to an embodiment of the present invention
The some or all functions of a little or whole components.The present invention is also implemented as executing method as described herein
Some or all device or device programs (for example, computer program and computer program product).Such realization
Program of the invention can store on a computer-readable medium, or may be in the form of one or more signals.This
The signal of sample can be downloaded from an internet website to obtain, and is perhaps provided on the carrier signal or mentions in any other forms
For.
Embodiments of the present invention above described embodiment only expresses, the description thereof is more specific and detailed, but can not
Therefore limitations on the scope of the patent of the present invention are interpreted as.It should be pointed out that for those of ordinary skill in the art,
Without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection model of the invention
It encloses.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (14)
1. a kind of noise-reduction method of pulse array signals characterized by comprising
The granting characteristic of the spatial neighborhood and the pulse array signals on timestamp neighborhood for the treatment of denoising pulse is modeled, and is established
The granting characteristic model of pulse array signals extracts pulse array signals spatial-temporal distribution characteristic；
According to the noise profile characteristic in pulse array signals, space time filter is constructed, the feature of extraction is filtered；
According to the granting characteristic model, filtered pulse spatial-temporal distribution characteristic is reduced to pulse array signals.
2. the method according to claim 1, wherein the pulse to be denoised be time-space domain on specific pulse,
It is one section of pulse letter in a certain specific pixel, since issuing a certain impulse response, before occurring to next pulse response
Number.
3. the method according to claim 1, wherein described special according to the noise profile in pulse array signals
Property, space time filter is constructed, the feature of extraction is filtered, comprising:
Pulse array signals of the pulse to be denoised on spatial neighborhood and timestamp neighborhood are set as its first region of search；
Pulse array signals in the first region of search are analyzed, the pulse release information of several pulse trains is obtained, is sent out according to pulse
Putting each pulse of information acquisition indicates feature or converts transform domain extraction feature for pulse release information；
The pulse array signals that first region of search includes are converted to pulse strength, on pulse strength domain, calculate specific arteries and veins
The similarity of punching and other pulses in the first region of search sets first threshold, retains similarity in the first region of search and is greater than
The pulse of first threshold is denoted as the second region of search；
For the second region of search, second threshold is set, judges whether the number of pulses in the second region of search is greater than the second threshold
Value；If so, being estimated using the pulse pair pulse to be denoised in the second region of search, and replace it former strong using estimated value
Degree；If it is not, then subtracting the second region of search using the first region of search, third region of search is obtained, uses third region of search
In pulse pair pulse to be denoised estimated, and replace its former intensity using estimated value.
4. according to the method described in claim 3, it is characterized in that, obtaining each pulse according to pulse release information indicates special
Sign, are as follows: pulse strength is determined according to pulse Time Of Release interval, or determines that pulse is strong according to the inverse at pulse Time Of Release interval
Degree, or pulse strength is determined according to the logarithm at pulse Time Of Release interval.
5. according to the method described in claim 3, it is characterized in that, its in the calculating certain pulses and the first region of search
The similarity of his pulse, comprising: calculate the variance of pulse strength in region of search, the intensity according to variance and pulse to be denoised is big
One confidence interval of small determination determines similarity according to distribution situation of the pulse in confidence interval.
6. according to the method described in claim 3, it is characterized in that, the first threshold, second threshold are according to neighborhood pulse
Relationship is dynamically set, to adapt to different pulse number evidence.
7. according to the method described in claim 3, it is characterized in that, the first threshold is different from the second threshold.
8. according to the method described in claim 3, it is characterized in that, the pulse pair in second region of search of use waits for
Pulse of making an uproar estimated, including but not limited to: weighted mean method, Neighborhood Filtering method.
9. according to the method described in claim 3, it is characterized in that, the denoising pulse for the treatment of carries out being estimated as passing through filtering
Device is estimated that the weight or convolution kernel of filter assign bigger value to the pulse closer to pulse to be denoised.
10. according to the method described in claim 4, it is characterized in that, according to the granting characteristic model, filtered pulse
Spatial-temporal distribution characteristic is reduced to pulse array signals, comprising: by the intensity value of certain pulses adjusted, is closed according to pulse sequence
System, reverts to pulse array signals, and method is described according to each pulse expression this behaviour of feature of pulse release information acquisition
Make the inverse operation of step.
11. a kind of noise reduction system of pulse array signals characterized by comprising
Extraction module is modeled, the granting of the pulse array signals on spatial neighborhood and timestamp neighborhood for treating denoising pulse
Characteristic is modeled, and the granting characteristic model of pulse array signals is established, and extracts pulse array signals spatial-temporal distribution characteristic；
Filter module, for space time filter being constructed, to the feature of extraction according to the noise profile characteristic in pulse array signals
It is filtered；
Recovery module, for according to the granting characteristic model, filtered pulse spatial-temporal distribution characteristic to be reduced to pulse battle array
Column signal.
12. a kind of noise reduction system of pulse array signals, which is characterized in that for realizing described in any one of claim 1-10
Method, the system include: sequentially connected neighborhood search module, pulse analysis and conversion module, similarity estimation module and
Pulse denoising and recombination module；
The neighborhood search module obtains target search region for searching for the neighborhood pulse array data of target pulse；
The pulse analysis and conversion module obtain each pulse sequence for corresponding to each pixel search region for analyzing pulse data
The pulse release information of column, and it is converted into pulse strength；
The similarity estimation module, for calculating the intensity similarity of each pulse and target pulse in region of search；
The pulse denoising and recombination module are reassembled as denoising to target pulse, and the pulse data after denoising
Pulse array signals.
13. a kind of electronic equipment, which is characterized in that including memory, processor and be stored on the memory and can be in institute
The computer program run on processor is stated, the processor executes described program, to realize as any in claim 1-10
Method described in.
14. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is characterized in that the program
It is executed by processor, to realize such as method of any of claims 1-10.
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