CN107219638B - Super-resolution relevance imaging system and imaging method based on low-pass filtering - Google Patents
Super-resolution relevance imaging system and imaging method based on low-pass filtering Download PDFInfo
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- CN107219638B CN107219638B CN201710387872.1A CN201710387872A CN107219638B CN 107219638 B CN107219638 B CN 107219638B CN 201710387872 A CN201710387872 A CN 201710387872A CN 107219638 B CN107219638 B CN 107219638B
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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 and imaging method based on low-pass filtering, reference arm optical path and feeler arm optical path are all using the CCD with spatial resolving power, EMCCD or CMOS area array detector, the distribution of light intensity distribution of the detection target for passing through feeler arm optical path or the distribution of light intensity for being reflected by it scattering distribution and reference arm optical path is shot according to the exposure that regular hour sequence synchronization carries out certain time, exposure data is sequentially ingressed into corresponding spatial filter, a suitable threshold value is set for reference arm spatial filter and feeler arm spatial filter, the face battle array data-signal that each timing point obtains is passed sequentially through into reference arm spatial filter according to threshold value or feeler arm spatial filter carries out low-pass filtering operation, this the two groups of face battle array numbers for finally obtaining reference arm optical path and feeler arm optical path It is handled according to according to the principle and method of the hot light relevance imaging of tradition, realization treats imaging object and realizes super-resolution relevance imaging.
Description
Technical field
The present invention relates to super-resolution relevance imaging field, in particular to a kind of super-resolution association based on low-pass filtering
Imaging system and method.
Background technique
Relevance imaging technology (also referred to as " ghost " be imaged) is a kind of to be closed using hot light field or the high-order space-time intensity of Quantum Light Fields
Join property, a kind of novel imaging technique rebuild to object information is realized in non-localized.Wherein, hot light is grown rapidly in recent years
The relevance imaging technology in source has the advantage for being much different from traditional lens imaging or camera technique, for example, can not have to lens
And it is imaged and is suitble in principle any wavelength in electromagnetic spectrum, it can not be disturbed by atmospheric turbulance, stuffy or other scatterings Jie
The influence of matter can still obtain object in the case where atmospheric turbulance, cloud and mist block and clearly be imaged, this be traditional classical at
As that can not accomplish.And thermal light source (such as sunlight) and our daily lifes are closely bound up, and compare quantum light source, more hold
It easily obtains, therefore, research direction and hot spot are intended to the relevance imaging technology based on thermal light source.Have just because of this technology
Conventional lenses imaging technique institute's irreplaceable role and advantage, so in national defence, military affairs, remote sensing, the crowds such as communication, biomedicine
More technical field of imaging all have huge potential using value.
Although relevance imaging technology has higher imaging resolution than tradition imaging at identical conditions, still
It is limited by the diffraction limit of imaging system, 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 will lead to that contrast is very low, this is the shortcoming of relevance imaging technology.
Summary of the invention
It is an object of the invention to which low pass spatial filtering technology is applied to optical ultra-discrimination rate relevance imaging field, from
And provide a kind of super-resolution imaging system and method based on low-pass filtering.
A kind of super-resolution relevance imaging system based on low-pass filtering carries out sky for treating imaging object using light source
Between relevance imaging, comprising: light source issue light beam two-way is divided by non-polarizing beamsplitter: feeler arm optical path and reference arm optical path.
Feeler arm detector and the object to be imaged with spatial resolving power, institute are equipped in the feeler arm optical path
Feeler arm detector is stated for sampling the distribution of light intensity spatial distribution in the feeler arm optical path after the object to be imaged
Signal, feeler arm detector output signal access feeler arm spatial filter.
Reference arm optical path is equipped with the reference arm detector with spatial resolving power in the reference arm optical path, is used for
Sample the distribution of light intensity distribution signal of the reference arm optical path, reference arm detector output signal one reference arm sky of access
Between 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(enhance 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
Filter, Lee local statistics sef-adapting filter, Frost filter, Sigma filter, improvement K- mean value adaptive-filtering or
One of Gamma filter.
A kind of super-resolution relevance imaging method based on low-pass filtering, using described a kind of based on low-pass filtering
Super-resolution relevance imaging system, comprising the following steps:
1) to the detection target for passing through feeler arm optical path or the distribution of light intensity for being reflected by it scattering distribution and reference arm light
The distribution of light intensity distribution on road is shot according to the exposure that regular hour sequence synchronization carries out certain time, and exposure obtains every time by it
The data output obtained is sequentially ingressed into corresponding spatial filter, i.e. reference arm spatial filter and feeler arm spatial filter；
It 2) is respectively reference arm spatial filter and detection according to the maximum value of the average value of distribution of light intensity and instant light field
Arm spatial filter sets a suitable threshold value；
3) the face battle array data-signal that each timing point obtains is passed sequentially through by reference arm spatial filter and spy according to threshold value
Test arm spatial filter carries out low-pass filtering operation；
4) this two groups of face battle array data for obtaining reference arm optical path and feeler arm optical path are according to the hot light relevance imaging of tradition
Principle and method are handled, and realization treats imaging object and realizes super-resolution relevance imaging.
Further, the low-pass filtering operation is handled using hardware filtering or software filtering is handled.
The threshold value of reference arm spatial filter and feeler arm spatial filter is distributed in the average value and real-time intensity of light intensity
Maximum value between selected, can have higher imaging resolution and better image quality near average value；If light
The distribution of light intensity that source issues is stablized, and average value here can be the average intensity of all hits；If the light that light source issues
Field intensity is unstable, and average value is also possible to the average value of real-time intensity.
The present invention has the advantages that
1. the present invention has the super-resolution imaging ability for breaking diffraction limit, the imaging resolution of this method is traditional pass
Join more than 2 times of imaging method；
2. the present invention inherits whole advantages of traditional association imaging technique, can be used for upgrading various true thermal light sources or
Person counterfeit thermal light source and relevance imaging system is improved based on the calculating relevance imaging technology of the spatial modulation light beam of computer modulation
The resolution ratio and image contrast and signal-to-noise ratio of system；
3. the present invention does not have to the light channel structure for changing relevance imaging, main detecting structure and triggering control, only need to be by original
Bucket detector in system changes the detector with spatial resolving power into, and after detector increase spatial filter or
Digitizing technique processing is carried out using software for calculation opposite battle array data on the basis of conventional detection method, structure is simple, easily
In operation, the complexity and data processing complexity of relevance imaging system are not increased；
4. it is suitable for the situation that the distribution of light intensity of light source sending is unstable；
5. the present invention is insensitive to the unstability of light intensity, has and resist the weather shadows that make a very bad impression such as atmospheric perturbation, turbulent flow
Loud ability, can be realized super-resolution imaging, have better image quality than conventional method.
Detailed description of the invention
Fig. 1 is the functional block diagram of the super-resolution relevance imaging system the present invention is based on low-pass filtering；
1, light source；2, non-polarizing beamsplitter；3, 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；6, for rebuilding the coincidence measurement system of object picture to be imaged
System.
Specific embodiment
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Fig. 1 is that super-resolution relevance imaging system and method based on low-pass filtering are shown according to an embodiment of the present invention
Meaning property structural plan.Relevance imaging system in Fig. 1 includes thermal light source and non-polarizing beamsplitter 2, feeler arm optical path and reference
Arm optical path, the feeler arm space filtering that there is the planar array detector output signal of spatial resolving power to carry out low-pass filtering to two-way
Device 5-1 and reference arm spatial filter 5-2 and coincidence measurement system 6 for rebuilding object picture to be imaged.Wherein, feeler arm
It can have planar array detector 4-1 and object to be imaged 3 in optical path.Feeler arm detector 4-1 is for sampling the feeler arm light
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 optical path
There is reference arm detector 4-2, for sampling the distribution of light intensity space distribution information of the reference arm optical path.Wherein, above two
Spatially distributed signal in optical pathWithIt is to synchronize triggering detector according to regular hour sequence, in certain exposure
Two groups of faces battle array data sequence that light time interior acquisition obtains.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
The principle and method of hot light relevance imaging utilize normalization second order intensity correlation function
The picture of i.e. reproducible object under test.
It is that system of the invention is constituted and main method substantially above, is carried out below for key point of the invention further
Elaborate.
Maximum with traditional association imaging system in this imaging system is not both in feeler arm using with spatial discrimination yet
The detector of ability.The output signal of detector is after sequentially Leie time carries out spatial filtering operation, to each sequence of points face battle array
Data-signal by pixel sum, and press real-time intensity signal sequence of original identical sequence as bucket detector, 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.
Two kinds of situations: hardware filtering and software filter can be divided into for spatial filtering operation the most key in the present invention
Wave.
Hardware filtering is exactly that the output signal of detector is accessed spatial filter, filter according to method shown in FIG. 1
Threshold value is calculated according to the threshold value or preset method of artificial settings to be filtered the signal of access.Has above-mentioned function
Filter is also possible to a part of detector, and detector light-sensitive element exposes collected initial data and directly filtered by space
It is exported again after wave device.
If being exactly that filtering operation is incorporated into software program during data processing using software filtering.Specifically
By taking averaging low-pass wave as an example, the detector output face battle array signal of two-way 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 each of face battle array signal
Element is compared with the threshold signal, is equal to 0 value greater than threshold value, initial value is set as less than threshold value, to reach to data
Low pass spatial filtering operation.Certainly, filtering threshold can also be thought to set as the case may be, the filter of reference arm and feeler arm
Wave operating method is identical, but threshold value can be different, or even obtain threshold value using distinct methods.
Spatial filtering operation can also carry 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 being imaged traditional association.
Professional should further appreciate that, in conjunction with disclosed in this invention the example that describes of embodiment and
Algorithm steps can be realized with electronic hardware, computer software, or a combination of the two, in the above description according to function
Example and step can be generally described.These functions are implemented in hardware or software actually, depend on technical side
The specific application and design constraint of case.Professional technician can carry out each specific application to come using distinct methods real
Existing described function, but such implementation should not be considered as beyond the scope of the present invention.
Although the embodiment of the present invention only lists the form that light source is thermal light source, relevance imaging system of the invention is same
Sample be suitable for obeying the natural light of hot light statistical distribution or imaging scheme and light source and the reference detector of artificial counterfeit thermal light source and
With and without the imaging scheme of lens between feeler arm detector.
So far, although those skilled in the art will appreciate that one that present invention has been shown and described in detail herein is shown
Example property embodiment still without departing from the spirit and scope of the present invention, still can according to the present disclosure directly
Determine or deduce out many other variations or modifications consistent with the principles of the invention.Therefore, the scope of the present invention is understood that and recognizes
It is set to and covers all such other variations or modifications.
Claims (6)
1. a kind of super-resolution relevance imaging system based on low-pass filtering, it is characterised in that: the light beam that light source (1) issues is non-
Polarization beam apparatus (2) is divided into two-way, is all the way feeler arm optical path, and another way is reference arm optical path；It is set in the feeler arm optical path
There are face battle array feeler arm detector (4-1) and object to be imaged (3) with spatial resolving power, the feeler arm detector (4-
1) for sampling the distribution of light intensity spatially distributed signal in the feeler arm optical path after the object (3) to be imaged,
Output signal access feeler arm spatial filter (5-1) of feeler arm detector (4-1) carries out low-pass filtering；The reference arm light
The face battle array reference arm detector (4-2) with spatial resolving power is equipped in road, reference arm detector (4-2) is described for sampling
The distribution of light intensity distribution signal of reference arm optical path, the output signal access reference arm space filter of reference arm detector (4-2)
Wave device (5-2) carries out low-pass filtering；What the feeler arm spatial filter (5-1) and reference arm spatial filter (5-2) exported
Filtering signal is linked into the coincidence measurement system (6) for rebuilding object picture to be imaged.
2. a kind of super-resolution relevance imaging system based on low-pass filtering as described in claim 1, it is characterised in that: described
Light source (1) is thermal light source, natural light or artificial counterfeit thermal light source.
3. a kind of super-resolution relevance imaging system based on low-pass filtering as described in claim 1, it is characterised in that: described
Feeler arm detector (4-1) and reference arm detector (4-2) be have spatial resolving power CCD, EMCCD, ICCD or
The face CMOS array camera.
4. a kind of super-resolution relevance imaging system based on low-pass filtering as described in claim 1, it is characterised in that: institute
Stating feeler arm spatial filter (5-1) and reference arm spatial filter (5-2) is respectively mean filter, median filter, Lee
Local statistics sef-adapting filter, Frost filter, Sigma filter, improvement K- mean value adaptive-filtering or Gamma filtering
One of device.
5. a kind of super-resolution relevance imaging method based on low-pass filtering, using one as described in claim 1-4 is any
Super-resolution relevance imaging system of the kind based on low-pass filtering, it is characterised in that the following steps are included:
1) to by the detection target of feeler arm optical path or being reflected by it the distribution of light intensity of scattering and be distributed and reference arm optical path
Distribution of light intensity distribution is shot according to the exposure that regular hour sequence synchronization carries out certain time, and its each exposure is obtained
Data output is sequentially ingressed into corresponding spatial filter, i.e. reference arm spatial filter (5-2) and feeler arm spatial filter (5-
1)；
It 2) is respectively reference arm spatial filter (5-2) and detection according to the maximum value of the average value of distribution of light intensity and instant light field
Arm spatial filter (5-1) sets a suitable threshold value；
3) the face battle array data-signal that each timing point obtains is passed sequentially through by reference arm spatial filter (5-2) according to threshold value and visited
Test arm spatial filter (5-1) carries out low-pass filtering operation；
4) this two groups of faces battle array data for obtaining reference arm optical path and feeler arm optical path according to the hot light relevance imaging of tradition principle
It is handled with method, realization treats imaging object and realizes super-resolution relevance imaging.
6. a kind of super-resolution relevance imaging method based on low-pass filtering as claimed in claim 5, it is characterised in that: described
Low-pass filtering operation is handled using hardware filtering or software filtering processing.
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| CN109521560A (en) * | 2018-12-29 | 2019-03-26 | 中国科学院半导体研究所 | Adaptive optical filtering system |
| CN109975827B (en) * | 2019-04-04 | 2021-09-07 | 北京航天控制仪器研究所 | Remote atmospheric turbulence resistant imaging method and 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 |
| CN110285755B (en) * | 2019-07-10 | 2021-05-25 | 吉林大学 | Device and method for screening correlated imaging sampling data |
| CN110716211B (en) * | 2019-10-22 | 2023-09-15 | 辽宁大学 | Iterative filtering associated imaging method |
| 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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