CN107219638A - Super-resolution relevance imaging system and imaging method based on LPF - Google Patents
Super-resolution relevance imaging system and imaging method based on LPF Download PDFInfo
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- CN107219638A CN107219638A CN201710387872.1A CN201710387872A CN107219638A CN 107219638 A CN107219638 A CN 107219638A CN 201710387872 A CN201710387872 A CN 201710387872A CN 107219638 A CN107219638 A CN 107219638A
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- G—PHYSICS
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- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/58—Optics for apodization or superresolution; Optical synthetic aperture systems
Abstract
The present invention relates to a kind of super-resolution relevance imaging system based on LPF and imaging method, reference arm light path and feeler arm light path are all using the CCD with spatial resolving power, EMCCD or CMOS area array detectors, the exposure shooting of certain time is carried out according to regular hour sequence synchronization to the detection target by feeler arm light path or the distribution of light intensity distribution for being reflected by it the distribution of light intensity distribution and reference arm light path scattered, exposure data is sequentially ingressed into corresponding spatial filter, it is that reference arm spatial filter and feeler arm spatial filter set a suitable threshold value, the face battle array data-signal for being obtained each sequential point according to threshold value passes sequentially through reference arm spatial filter or feeler arm spatial filter carries out LPF computing, finally this two groups of face battle array data that reference arm light path and feeler arm light path are obtained are handled according to the principle and method of traditional hot light relevance imaging, realization treats imaging object and realizes super-resolution relevance imaging.
Description
Technical field
The present invention relates to super-resolution relevance imaging field, more particularly to a kind of super-resolution association based on LPF
Imaging system and method.
Background technology
Relevance imaging technology（Also referred to as " ghost " is imaged）It is the high-order space-time intensity pass of a kind of hot light field of utilization or Quantum Light Fields
Join property, a kind of new imaging technique rebuild to object information is realized in non-localized.Wherein, the hot light of fast development in recent years
The relevance imaging technology in source has the advantage for being much different from traditional lens imaging or camera technique, such as, can be without lens
And be imaged and be adapted to any wavelength in electromagnetic spectrum in principle, it can not be disturbed by atmospheric turbulance, stuffy or other scatterings are situated between
The influence of matter, can still obtain object in the case where atmospheric turbulance, cloud and mist are blocked and clearly be imaged, this be traditional classical into
As that can not accomplish.And thermal light source（Such as sunshine）Closely bound up with our daily lifes, compare quantum light source, more holds
Easily obtain, therefore, research direction and focus are intended to the relevance imaging technology based on thermal light source.Have just because of this technology
The irreplaceable effect of conventional lenses imaging technique and advantage, so in national defence, military affairs, remote sensing, the crowd such as communication, biomedicine
Many technical field of imaging all have huge potential using value.
Although relevance imaging technology has higher imaging resolution than tradition imaging under the same conditions, still
The diffraction limit of imaging system is limited by, while the imaging resolution of relevance imaging technology and contrast are the passes mutually restricted
System, it is generally the case that high-resolution imaging can cause contrast very low, and this is the weak point of relevance imaging technology.
The content of the invention
It is an object of the invention to which spatial low pass wave technology is applied into optical ultra-discrimination rate relevance imaging field, from
And a kind of super-resolution imaging system and method based on LPF are provided.
A kind of super-resolution relevance imaging system based on LPF, sky is carried out for treating imaging object using light source
Between relevance imaging, including：The light beam that light source is sent is divided into two-way by non-polarizing beamsplitter：Feeler arm light path and reference arm light path.
Feeler arm detector and the object to be imaged with spatial resolving power, institute are provided with the feeler arm light path
Feeler arm detector is stated for the distribution of light intensity spatial distribution in the feeler arm light path of sampling after the object to be imaged
Signal, feeler arm detector output signal access feeler arm spatial filter.
The reference arm detector with spatial resolving power is provided with reference arm light path, described reference arm light path, is used for
The distribution of light intensity distribution signal for the reference arm light path of sampling, reference arm detector output signal one reference arm sky of access
Between wave filter.
Further, the light source is thermal light source, natural light or artificial counterfeit thermal light source.
Further, the reference arm detector and feeler arm detector are the CCD with spatial resolving power
（Charge coupled device, charge coupled cell）、EMCCD（Electron-Multiplying CCD, electron multiplication
Charge coupled cell）、ICCD（Strengthen charge coupled cell, Intensified CCD）Or CMOS（complementary
Metal oxide semiconductor, complementary metal oxide semiconductor）Face array camera.
Further, the feeler arm spatial filter and reference arm spatial filter are respectively mean filter, intermediate value
Wave filter, Lee local statistics sef-adapting filter, Frost wave filters, Sigma wave filters, improvement K- averages adaptive-filtering or
One kind in Gamma wave filters.
A kind of super-resolution relevance imaging method based on LPF, is employed described a kind of based on LPF
Super-resolution relevance imaging system, comprises the following steps：
1）To detection target by feeler arm light path or it is reflected by it distribution of light intensity distribution and the reference arm light path of scattering
The exposure that distribution of light intensity distribution carries out certain time according to regular hour sequence synchronization is shot, and it is exposed into what is obtained every time
Data output is sequentially ingressed into corresponding spatial filter, i.e. reference arm spatial filter and feeler arm spatial filter；
2）It is respectively that reference arm spatial filter and feeler arm are empty according to the maximum of the average value of distribution of light intensity and instant light field
Between the suitable threshold value of filter configuration one；
3）The face battle array data-signal for being obtained each sequential point according to threshold value passes sequentially through reference arm spatial filter and feeler arm
Spatial filter carries out LPF computing；
4）By principle of this two groups of faces battle array data of reference arm light path and the acquisition of feeler arm light path according to traditional hot light relevance imaging
Handled with method, realization treats imaging object and realizes super-resolution relevance imaging.
Further, the LPF computing is handled or software filtering processing using hardware filtering.
The threshold value of reference arm spatial filter and feeler arm spatial filter is distributed in the average value of light intensity with real-time intensity
Maximum between selected, can have higher imaging resolution and more preferable image quality near average value；If light
Distribution of light intensity that source is sent is stable, and average value here can be the average intensity of all hits；If the light that light source is sent
Field intensity is unstable, and average value can also be the average value of real-time intensity.
The advantage of the invention is that：
1. the present invention has the super-resolution imaging ability of diffraction limit broken, the imaging resolution of this method be traditional association into
More than 2 times of image space method；
2. the present invention inherits whole advantages of traditional association imaging technique, it can be used for the various true thermal light sources or counterfeit of upgrading
The calculating relevance imaging technology of thermal light source and the spatial modulation light beam modulated based on computer improves relevance imaging system
Resolution ratio and image contrast and signal to noise ratio；
3. the present invention is controlled without the light channel structure of change relevance imaging, main detecting structure and triggering, only need to be by original system
Bucket detector change the detector with spatial resolving power into, and increase after detector spatial filter or in tradition
Technical finesse is digitized using software for calculation opposite battle array data on the basis of detection method, it is simple in construction, it is easy to grasp
Make, do not increase the complexity and data processing complexity of relevance imaging system；
4. it is suitable for the unstable situation of the distribution of light intensity that sends of light source；
5. the present invention is insensitive to the unstability of light intensity, make a very bad impression what weather influenceed with resistance atmospheric perturbation, turbulent flow etc.
Ability, can realize super-resolution imaging, have better image quality than conventional method.
Brief description of the drawings
Fig. 1 is the theory diagram of the super-resolution relevance imaging system of the invention based on LPF；
1st, light source；2nd, non-polarizing beamsplitter；3rd, object to be imaged；4-1, feeler arm detector；4-2, reference arm detector；5-1、
Feeler arm spatial filter；5-2, reference arm spatial filter；6th, for rebuilding the coincidence measurement system of object picture to be imaged.
Embodiment
Below by drawings and examples, technical scheme is described in further detail.
Fig. 1 is showing according to super-resolution relevance imaging system and method for the one embodiment of the invention based on LPF
Meaning property structural plan.Relevance imaging system in Fig. 1 includes thermal light source and non-polarizing beamsplitter 2, feeler arm light path and reference
Arm light path, have to two-way spatial resolving power planar array detector output signal carry out LPF feeler arm space filtering
Device 5-1 and reference arm spatial filter 5-2 and the coincidence measurement system 6 for rebuilding object picture to be imaged.Wherein, feeler arm
Can have planar array detector 4-1 and object to be imaged 3 in light path.Feeler arm detector 4-1 is used for the feeler arm light of sampling
After the object 3 to be imaged or the spatial-intensity signal of scattered optical field is reflected off in road.Have in reference arm light path
There is reference arm detector 4-2, the distribution of light intensity space distribution information for the reference arm light path of sampling.Wherein, the above two
Spatially distributed signal in light pathWithIt is to synchronize triggering detector according to regular hour sequence, in certain exposure
Two groups of faces battle array data sequence that collection is obtained in light time.Two groups of face battle array data pass sequentially through the detection for setting certain threshold value respectively
Become other two groups of faces battle array data after arm spatial filter 5-1 and reference arm spatial filter 5-2With, then according to heat
The principle and method of light relevance imaging, using normalizing second order intensity correlation function
The picture of i.e. reproducible object under test.
Above is the system of the present invention is constituted and main method substantially, the key point below for the present invention is carried out further
Elaborate.
In this imaging system with traditional association imaging system it is maximum be not both also using having spatial discrimination in feeler arm
The detector of ability.The output signal of detector is after sequentially leu time carries out spatial filtering operation, to each sequence of points face battle array
Data-signal by pixel summation, and by original identical sequence as bucket detector real-time intensity signal sequence, then with reference
Mutually homotactic face battle array data-signal of the arm after space filtering rebuilds object under test according to the principle and method of relevance imaging
Image.
It can be divided into two kinds of situations for spatial filtering operation the most key in the present invention：Hardware filtering and software filter
Ripple.
Hardware filtering is exactly, according to the method shown in Fig. 1, the output signal of detector to be accessed into spatial filter, wave filter
Threshold value or default method according to being manually set calculate threshold value and the signal of access are filtered.Possess above-mentioned functions
Wave filter can also be a part for detector, and the initial data that the exposure of detector light-sensitive element is collected directly is filtered by space
Exported again after ripple device.
If being exactly that during data processing, filtering operation is incorporated into software program using software filtering.Specifically
By taking averaging low-pass ripple as an example, the detector output face of two-way battle array signal is stored in computer hard disc by sequence, by program according to
Secondary reading data, then calculate the average value of each sequence signal as threshold signal, then face battle array signal each
Element is compared with the threshold signal, is equal to 0 value more than threshold value, initial value is set to less than threshold value, so as to reach to data
Low pass spatial filtering operation.Certainly, filtering threshold can also think setting, the filter of reference arm and feeler arm as the case may be
Ripple operating method is identical, but threshold value can be different, or even obtains threshold value using distinct methods.
Spatial filtering operation can also be carried out in the optical path, and a light intensity spatial filter can be added before beam splitter, or
Person is separately added into a spatial filter in feeler arm and reference arm.This kind of method feeler arm can be without using with spatial discrimination energy
The detector of power, can use bucket detector as traditional association imaging.
Professional should further appreciate that, with reference to disclosed in this invention the example that describes of embodiment and
Algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in the above description according to work(
Example and step can be generally described.These functions are performed with hardware or software mode actually, depending on technical side
The application-specific and design constraint of case.Professional and technical personnel can use each specific application distinct methods real
Existing described function, but this realization is it is not considered that beyond the scope of this invention.
Although embodiments of the invention only list the form that light source is thermal light source, the relevance imaging system of the present invention is same
Sample be applied to obey the natural light of hot light statistical distribution or the imaging scheme and light source of artificial counterfeit thermal light source and reference detector and
Have between feeler arm detector, lensless imaging scheme.
So far, although those skilled in the art will appreciate that detailed one that the present invention has shown and described shows herein
Example property embodiment, still, still can be direct according to present disclosure without departing from the spirit and scope of the present invention
It is determined that or deriving many other variations or modifications for meeting the principle of the invention.Therefore, the scope of the present invention is understood that and recognized
It is set to and covers other all these variations or modifications.
Claims (6)
1. a kind of super-resolution relevance imaging system based on LPF, it is characterised in that:Light source（1）The light beam sent is non-
Polarization beam apparatus（2）It is divided into two-way, is all the way feeler arm light path, another road is reference arm light path；Set in the feeler arm light path
There is the face battle array feeler arm detector with spatial resolving power（4-1）With the object to be imaged（3）, the feeler arm detector
（4-1）For passing through the object to be imaged in the feeler arm light path of sampling（3）Distribution of light intensity spatially distributed signal afterwards,
Feeler arm detector（4-1）Output signal access feeler arm spatial filter（5-1）；Being provided with the reference arm light path has
The face battle array reference arm detector of spatial resolving power（4-2）, reference arm detector（4-2）For the reference arm light path of sampling
Distribution of light intensity distribution signal, reference arm detector（4-2）Output signal access reference arm spatial filter（5-2）；It is described
Feeler arm spatial filter（5-1）With reference arm spatial filter（5-2）The filtering signal of output is linked into be treated into for reconstruction
As the coincidence measurement system of object picture（6）.
2. a kind of super-resolution relevance imaging system based on LPF as claimed in claim 1, it is characterised in that:It is described
Light source（1）For thermal light source, natural light or artificial counterfeit thermal light source.
3. a kind of super-resolution relevance imaging system based on LPF as claimed in claim 1, it is characterised in that:It is described
Feeler arm detector（4-1）With reference arm detector（4-2）Be CCD, EMCCD, ICCD with spatial resolving power or
CMOS faces array camera.
4. a kind of super-resolution relevance imaging system based on LPF as claimed in claim 1, it is characterised in that:Institute
State feeler arm spatial filter（5-1）With reference arm spatial filter（5-2）Respectively mean filter, median filter, Lee
Local statistics sef-adapting filter, Frost wave filters, Sigma wave filters, improvement K- averages adaptive-filtering or Gamma filtering
One kind in device.
5. a kind of super-resolution relevance imaging method based on LPF, employs one as described in claim 1-4 is any
The super-resolution relevance imaging system based on LPF of kind, it is characterised in that comprise the following steps：
1）To detection target by feeler arm light path or it is reflected by it distribution of light intensity distribution and the reference arm light path of scattering
The exposure that distribution of light intensity distribution carries out certain time according to regular hour sequence synchronization is shot, and it is exposed into what is obtained every time
Data output is sequentially ingressed into corresponding spatial filter, i.e. reference arm spatial filter（5-2）With feeler arm spatial filter（5-
1）；
2）It is respectively reference arm spatial filter according to the maximum of the average value of distribution of light intensity and instant light field（5-2）And detection
Arm spatial filter（5-1）Set a suitable threshold value；
3）The face battle array data-signal for being obtained each sequential point according to threshold value passes sequentially through reference arm spatial filter（5-2）And spy
Test arm spatial filter（5-1）Carry out LPF computing；
4）By principle of this two groups of faces battle array data of reference arm light path and the acquisition of feeler arm light path according to traditional hot light relevance imaging
Handled with method, realization treats imaging object and realizes super-resolution relevance imaging.
6. a kind of super-resolution relevance imaging method based on LPF as claimed in claim 5, it is characterised in that：It is described
LPF computing is handled or software filtering processing using hardware filtering.
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| CN108469685A (en) * | 2018-05-17 | 2018-08-31 | 辽宁大学 | A kind of super-resolution relevance imaging system and imaging method |
| CN108827988A (en) * | 2018-06-12 | 2018-11-16 | 中国科学院上海光学精密机械研究所 | Non-local modulation of X-ray diffraction imaging device and method based on light field High order correletion |
| CN108955873A (en) * | 2018-05-14 | 2018-12-07 | 辽宁大学 | A kind of generation system and method for space antibunch phenomenon |
| CN109521560A (en) * | 2018-12-29 | 2019-03-26 | 中国科学院半导体研究所 | Adaptive optical filtering system |
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| CN110187498A (en) * | 2019-05-27 | 2019-08-30 | 中国科学院国家空间科学中心 | A kind of very hot smooth relevance imaging system |
| CN110285755A (en) * | 2019-07-10 | 2019-09-27 | 吉林大学 | A kind of device and method for screening relevance imaging sampled data |
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| CN108955873A (en) * | 2018-05-14 | 2018-12-07 | 辽宁大学 | A kind of generation system and method for space antibunch phenomenon |
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| CN108827988A (en) * | 2018-06-12 | 2018-11-16 | 中国科学院上海光学精密机械研究所 | Non-local modulation of X-ray diffraction imaging device and method based on light field High order correletion |
| CN109521560A (en) * | 2018-12-29 | 2019-03-26 | 中国科学院半导体研究所 | Adaptive optical filtering system |
| CN109975827A (en) * | 2019-04-04 | 2019-07-05 | 北京航天控制仪器研究所 | A kind of imaging method and system of remote anti-atmospheric turbulance |
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| CN110187498A (en) * | 2019-05-27 | 2019-08-30 | 中国科学院国家空间科学中心 | A kind of very hot smooth relevance imaging system |
| CN110187498B (en) * | 2019-05-27 | 2021-08-17 | 中国科学院国家空间科学中心 | True heat light correlation imaging system |
| CN110285755A (en) * | 2019-07-10 | 2019-09-27 | 吉林大学 | A kind of device and method for screening relevance imaging sampled data |
| CN110285755B (en) * | 2019-07-10 | 2021-05-25 | 吉林大学 | Device and method for screening correlated imaging sampling data |
| CN110716211A (en) * | 2019-10-22 | 2020-01-21 | 辽宁大学 | Iterative filtering correlation imaging method |
| CN110716211B (en) * | 2019-10-22 | 2023-09-15 | 辽宁大学 | Iterative filtering associated imaging method |
| CN112198176A (en) * | 2020-09-24 | 2021-01-08 | 中国科学院上海光学精密机械研究所 | Single exposure X-ray diffraction imaging device and method based on light field high-order spatial correlation |
| CN112198176B (en) * | 2020-09-24 | 2022-12-02 | 中国科学院上海光学精密机械研究所 | Single exposure X-ray diffraction imaging device and method based on light field high-order spatial correlation |
| CN112904364A (en) * | 2021-01-19 | 2021-06-04 | 湖南大学 | Correlation imaging scheme of hollow Gaussian modulation source under atmospheric turbulence |
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