CN108564542A - A kind of control method of parallelly compressed perception imaging system - Google Patents
A kind of control method of parallelly compressed perception imaging system Download PDFInfo
- Publication number
- CN108564542A CN108564542A CN201810300907.8A CN201810300907A CN108564542A CN 108564542 A CN108564542 A CN 108564542A CN 201810300907 A CN201810300907 A CN 201810300907A CN 108564542 A CN108564542 A CN 108564542A
- Authority
- CN
- China
- Prior art keywords
- imaging system
- parallelly compressed
- compressed perception
- parameter
- perception imaging
- 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.)
- Granted
Links
- 238000003384 imaging method Methods 0.000 title claims abstract description 103
- 230000008447 perception Effects 0.000 title claims abstract description 87
- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000006835 compression Effects 0.000 claims abstract description 29
- 238000007906 compression Methods 0.000 claims abstract description 29
- 238000013178 mathematical model Methods 0.000 claims abstract description 8
- 238000011084 recovery Methods 0.000 claims description 19
- 238000001514 detection method Methods 0.000 claims description 3
- 230000000977 initiatory effect Effects 0.000 claims description 2
- 230000000875 corresponding effect Effects 0.000 description 25
- 239000011159 matrix material Substances 0.000 description 17
- 230000000295 complement effect Effects 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 241000208340 Araliaceae Species 0.000 description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 description 3
- 229910002056 binary alloy Inorganic materials 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 235000008434 ginseng Nutrition 0.000 description 3
- 238000007796 conventional method Methods 0.000 description 2
- 230000002596 correlated effect Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000009897 systematic effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000009415 formwork Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008929 regeneration Effects 0.000 description 1
- 238000011069 regeneration method Methods 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10141—Special mode during image acquisition
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Studio Devices (AREA)
Abstract
The invention discloses a kind of control methods of parallelly compressed perception imaging system, including step：According to the prior model of imageable target scene, different tracks are established as the picture under shifting parameter moves mathematical model；It chooses different parameters and operating mode is combined calculating, the Y-PSNR for the image that is restored；The system setting under data is moved using different block counts corresponding when obtaining peak-peak signal-to-noise ratio, different observation compression ratios and operating mode as the picture；The different system parameter settings as moving under data are calculated separately, parallelly compressed perception imaging system optimal image quality parameter library is established.Optimal image quality may be implemented in the control method of parallelly compressed perception imaging system disclosed by the invention.
Description
Technical field
The present invention relates to aerospace optical remote sensings to calculate technical field of imaging, more particularly to a kind of parallelly compressed perception imaging system
The control method of system.
Background technology
Donoho and Candes et al. proposed compressive sensing theory in 2006, which points out：If a signal
It is sparse in some transform domain, then projected to the signal on lower dimensional space by irrelevant calculation matrix, and by asking
One optimization problem of solution can recover original signal according to low dimension projective value high probability.Compressive sensing theory is to imaging side
New change is brought in formula, breaches the limitation of Nyquist-Shannon sampling thheorems, image sampling and compression are merged into
One process, the high resolution image reconstruction under low resolution is sampled are possibly realized, therefore as the hot spot of Recent study
Problem.
High-resolution image capture technology has always urgent in fields such as military surveillance, environmental monitoring, Homeland Securities
Demand.Tradition imaging depends on detector pixel using scene and the one-to-one mode of detector pixel, image resolution ratio
Scale needs the pixel number for increasing detector to obtain high-resolution image.And limited by manufacturing process, it is ultra-large
Detector pixel scale be difficult to realize, therefore the mode of generally use more image detectors machinery or optic splice at present, greatly
Increase system complexity greatly.High-resolution image corresponds to the data of magnanimity simultaneously, therefore has also aggravated image data and deposited
The burden of storage and transmission.
Based on compressive sensing theory, domestic and foreign scholars propose a variety of calculating imaging systems, including single pixel camera, compression
Coded aperture imaging, the compression imaging etc. based on cmos detector.Wherein Duarte M F of rice university of the U.S. et al. are proposed
A kind of single pixel camera be the theory typical case, which encodes scene using digital micromirror array, uses
The point probe alternate image sensor of single pixel reduces the complexity and cost of system as image information collecting device,
Image resolution ratio is set no longer to be limited by the pixel scale of detector.But when being imaged to large scale scene, coding observation time
Number increases, and observation time sharply increases, and system is caused to can be only applied to static or staring imaging occasion.
Invention content
The present invention is directed to overcome defect of the existing technology, the present invention to use following technical scheme：
An embodiment of the present invention provides a kind of control methods of complementary type compressed sensing imaging system.
The control method of the parallelly compressed perception imaging system, including step：
According to the prior model of imageable target scene, different tracks are established as the picture under shifting parameter moves mathematical model；It chooses
Different parameters and operating mode are combined calculating, the Y-PSNR for the image that is restored；
Using corresponding different block counts, different observation compression ratios and operating mode when obtaining peak-peak signal-to-noise ratio as
The picture moves the system setting under data；
The different system parameter settings as moving under data are calculated separately, parallelly compressed perception imaging system optimal imaging is established
Mass parameter library.
In some embodiments, the selection different parameters and operating mode are combined calculating, and be restored image
In Y-PSNR, the parameter includes：Block count and observation compression ratio.
In some embodiments, the selection different parameters and operating mode are combined calculating, and be restored image
In Y-PSNR, the operating mode includes：First operating mode and the second operating mode.
In some embodiments, when choosing the first operating mode：The parallelly compressed perception imaging system drive number
Micro mirror array completes the coding of target scene, and the first detector of control and the second detector expose simultaneously；
After completion of the exposure, the parallelly compressed perception imaging system is by first detector and second detector
It is poor that the corresponding data of acquisition image make, and obtains one group of observation data and completes the coding observation of corresponding number；
Finally complete the recovery of original image.
In some embodiments, when choosing the second operating mode：
The parallelly compressed perception imaging system drive digital micromirror array completes the coding of target scene, and controls first
Detector exposes；
After completion of the exposure, the parallelly compressed perception imaging system drive digital micromirror array completes the volume of target scene
Code, and control the exposure of the second detector；
It obtains one group of observation data and completes the coding observation of corresponding number；
Finally complete the recovery of original image.
In some embodiments, the reverting to for completion original image completes original image using Image Restoration Algorithm
Restore.
In some embodiments, the reverting to for completion original image completes original image using Image Restoration Algorithm
Restore.
In some embodiments, the control method of the parallelly compressed perception imaging system, further includes step：
It is to complete parallelly compressed perception imaging with the parallelly compressed perception imaging system optimal image quality parameter library
The control of system.
In some embodiments, the step：It is imaged system optimal image quality parameter library with the parallelly compressed perception
Come complete it is parallelly compressed perception imaging system control, specially：According to real-time track operating parameter, from described parallelly compressed
Selection parameter value corresponding with current orbit parameter in perception imaging system optimal image quality parameter library, and complete initialization ginseng
Number setting.
The technique effect of the present invention：The control method of complementary type compressed sensing imaging system provided in an embodiment of the present invention,
First according to the prior model of imageable target scene, different tracks are established as the picture under shifting parameter moves mathematical model；Pass through selection
Different parameters and operating mode are combined calculating, by calculating separately the different system parameter settings as moving under data, establish
Parallelly compressed perception is imaged system optimal image quality parameter library, thus when being imaged to large scale scene, such as
Spacecraft in orbit when, data are moved according to real-time track picture, rational imaging pattern and parallel place can be chosen according to parameter library
Parameter is managed, optimal image quality may be implemented.
Description of the drawings
Fig. 1 is the structural schematic diagram of parallelly compressed perception imaging system according to an embodiment of the invention；
Fig. 2 is target scene, digital micro-mirror battle array in parallelly compressed perception imaging system according to an embodiment of the invention
Row, planar array detector correspondence schematic diagram；
Fig. 3 is the work of parallelly compressed perception imaging system according to an embodiment of the invention in the first operation mode
Flow chart；
Fig. 4 is the work of parallelly compressed perception imaging system according to an embodiment of the invention in the second operation mode
Flow chart；
Fig. 5 is parallelly compressed perception imaging system according to an embodiment of the invention when as shifting rate p=0.002, is adopted
With the Y-PSNR of the first operating mode with block count M and the trend chart for observing compression ratio D；
Fig. 6 is parallelly compressed perception imaging system according to an embodiment of the invention when as shifting rate p=0.002, is adopted
With the Y-PSNR of the second operating mode with block count M and the trend chart for observing compression ratio D；
Fig. 7 is parallelly compressed perception imaging system according to an embodiment of the invention when as shifting rate p=0.03, is used
The Y-PSNR of first operating mode is with block count M and the trend chart for observing compression ratio D；
Fig. 8 is parallelly compressed perception imaging system according to an embodiment of the invention when as shifting rate p=0.03, is used
The Y-PSNR of second operating mode is with block count M and the trend chart for observing compression ratio D；
Fig. 9 is the control flow chart of parallelly compressed perception imaging system according to an embodiment of the invention.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with attached drawing and specific implementation
Example, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only explaining this hair
It is bright, but not to limit the present invention.
Refering to what is shown in Fig. 9, an embodiment of the present invention provides a kind of control methods of complementary type compressed sensing imaging system.
The control method of the parallelly compressed perception imaging system, including step：
S1 establishes different tracks as the picture under shifting parameter moves mathematical model according to the prior model of imageable target scene；
S2, chooses different parameters and operating mode is combined calculating, the Y-PSNR for the image that is restored；
Different block counts corresponding when obtaining peak-peak signal-to-noise ratio, difference are observed compression ratio and operating mode by S3
The system setting under data is moved as the picture；
S4 calculates separately the different system parameter settings as moving under data, establishes parallelly compressed perception imaging system optimal
Image quality parameter library.
In some embodiments, the selection different parameters and operating mode are combined calculating, and be restored image
In Y-PSNR, the parameter includes：Block count and observation compression ratio.
In some embodiments, the selection different parameters and operating mode are combined calculating, and be restored image
In Y-PSNR, the operating mode includes：First operating mode and the second operating mode.
In some embodiments, when choosing the first operating mode：The parallelly compressed perception imaging system drive number
Micro mirror array completes the coding of target scene, and the first detector of control and the second detector expose simultaneously；
After completion of the exposure, the parallelly compressed perception imaging system is by first detector and second detector
It is poor that the corresponding data of acquisition image make, and obtains one group of observation data and completes the coding observation of corresponding number；
Finally complete the recovery of original image.
In some embodiments, when choosing the second operating mode：
The parallelly compressed perception imaging system drive digital micromirror array completes the coding of target scene, and controls first
Detector exposes；
After completion of the exposure, the parallelly compressed perception imaging system drive digital micromirror array completes the volume of target scene
Code, and control the exposure of the second detector；
It obtains one group of observation data and completes the coding observation of corresponding number；
Finally complete the recovery of original image.
In some embodiments, the reverting to for completion original image completes original image using Image Restoration Algorithm
Restore.
In some embodiments, the reverting to for completion original image completes original image using Image Restoration Algorithm
Restore.
In some embodiments, the control method of the parallelly compressed perception imaging system, further includes step：
S5 is imaged with the parallelly compressed perception imaging system optimal image quality parameter library to complete parallelly compressed perception
The control of system.
In some embodiments, the step S5：It is imaged system optimal image quality parameter with the parallelly compressed perception
Library come complete it is parallelly compressed perception imaging system control, specially：According to real-time track operating parameter, from the parallel pressure
Selection parameter value corresponding with current orbit parameter in contracting perception imaging system optimal image quality parameter library, and complete to initialize
Parameter setting.
In some embodiments, the step：Different tracks are established as the picture under shifting parameter moves mathematical model, specific packet
It includes：
If detector pixel dimension is a, the size that a detector pixel corresponds to dmd array is n, image motion velocity v, list
It is Δ t the time required to secondary observation, then defining the adjacent picture observed twice and moving factor p and be：
It is zero to be located at picture shifting when observing for the first time, then kth time observation is as moving PkIt can be expressed as：
Pk=(k-1) p
Step 2：If the initial data of the subregion (i, j) to be observed is the matrix x of n × nI, j(i, j ∈ [1, M])：
The result for carrying out m observation is the matrix y of m × 1I, j(i, j ∈ [1, M])：
yi,j=[b1,1 … bm,1]T
Step 3：It is zero, x as moving when observe for the first time1 i,j=xi,j, x1 i,jBecome row to indicate：
cx1 i,j=[a1 1,1 … a1 1,n a1 2,1 … a1 2,n a1 n,1 … a1 n,n]T
First observed result b is obtained according to the following formula1,1, wherein Φ1,：For the first row of calculation matrix.
b1,1=Φ1,:cx1 i,j
Step 4：When being observed to sub-block progress kth time, xk i,jBecome：
WhereinFor downward rounding,It is upward
Rounding.
By xk i,jBecome row to indicate：
cxk i,j=[ak 1,1 … ak 1,n ak 2,1 … ak 2,n ak n,1 … ak n,n]T
It utilizes
bk,1=φk,:cxk i,j
Obtain k-th of observed result bk,1。
In some embodiments, the matching microscope group includes the first matching microscope group and the second matching microscope group, the detector
Including the first detector and the second detector.Specific complementary type compressed sensing imaging system can refer to complementary type shown in FIG. 1
Compressed sensing imaging system.
The technique effect of the present invention：The control method of complementary type compressed sensing imaging system provided in an embodiment of the present invention,
First according to the prior model of imageable target scene, different tracks are established as the picture under shifting parameter moves mathematical model；Pass through selection
Different parameters and operating mode are combined calculating, by calculating separately the different system parameter settings as moving under data, establish
Parallelly compressed perception is imaged system optimal image quality parameter library, thus when being imaged to large scale scene, such as
Spacecraft in orbit when, data are moved according to real-time track picture, rational imaging pattern and parallel place can be chosen according to parameter library
Parameter is managed, optimal image quality may be implemented.
Shown in Fig. 2, parallelly compressed perception imaging system according to an embodiment of the invention is illustrated
100.Parallelly compressed perception imaging system 100 provided in an embodiment of the present invention includes：Front end microscope group 2, digital micromirror array (DMD)
3, the first matching microscope group 4, second matches microscope group 5, the first detector 6 and the second detector 7；
The front end microscope group 2, for realizing the matching of target scene 1 and the digital micromirror array 3, the front end microscope group
2 are arranged between the target scene 1 and the digital micromirror array 3, and the target scene 1 can enter through the front end microscope group 2
It is mapped on digital micromirror array 3；
The digital micromirror array (DMD) 3, can in two directions reflect the light of the target scene 1, anti-respectively
It is incident upon the first matching microscope group 4 and second matching microscope group 5；
The first matching microscope group 4, for realizing the matching of digital micromirror array (DMD) 3 and first detector 6,
The light for the target scene 1 that the first matching microscope group 4 will be reflected by the digital micromirror array (DMD) 3
It exports to first detector 6；
The second matching microscope group 5, for realizing the matching of digital micromirror array (DMD) 3 and second detector 7,
The light for the target scene 1 that the second matching microscope group 5 will be reflected by the digital micromirror array (DMD) 3
It exports to second detector 7.
In some embodiments, the first matching microscope group 4, the target that will be reflected by the digital micromirror array 3
The light of scene 1 is exported to the focal plane of first detector 6；
In some embodiments, the second matching microscope group 5, the target that will be reflected by the digital micromirror array 3
The light of scene 1 is exported to the focal plane of second detector 7.
In some embodiments, the digital micromirror array (DMD) 3 can be by the light of the target scene 1 along two
Direction is reflected, and the direction is -12 ° and+12 ° of respectively deflection.
In some embodiments, the operating mode of the parallelly compressed perception imaging system 100 includes：First operating mode
With the second operating mode.
In some embodiments, as shown in figure 3, when the parallelly compressed perception imaging system 100 is operated in the first work
When pattern：
The parallelly compressed perception imaging system 100 drives digital micromirror array 3 to complete the coding of target scene 1, and controls
It makes first detector 6 and second detector 7 while exposing；
After completion of the exposure, the parallelly compressed perception imaging system 100 visits first detector 6 and described second
It is poor that the corresponding data of the survey acquisition image of device 7 make, and obtains one group of observation data and completes the coding observation of corresponding number；Finally
Complete the recovery of original image.
In some embodiments, as shown in figure 4, when the parallelly compressed perception imaging system 100 is operated in the second work
When pattern：
The parallelly compressed perception imaging system 100 drives digital micromirror array 3 to complete the coding of target scene 1, and controls
First detector 6 is made to expose；
After completion of the exposure, the parallelly compressed perception imaging system 100 drives digital micromirror array 3 to complete target scene
1 coding, and control the exposure of the second detector 7；
It obtains one group of observation data and completes the coding observation of corresponding number；
Finally complete the recovery of original image.
In some embodiments, the reverting to for completion original image completes original image using Image Restoration Algorithm
Restore.
In some embodiments, first detector is planar array detector；It is planar array detector to state the second detector.
Parallelly compressed perception imaging system disclosed by the invention includes digital micromirror array, the first matching microscope group, second
With microscope group, the first detector and the second detector, and can be by digital micromirror array, the first matching microscope group, second
With microscope group, the control of the first detector and the second detector is different to make the parallelly compressed perception imaging system be operated in
Under operating mode, two kinds of operating modes and different parallel processing ginsengs may be implemented in parallelly compressed perception imaging system-based herein
Several switchings, for the first operating mode compared to the observing matrix of 0,1 sequence, the performance of the observing matrix is more preferable, in identical observation
Higher image Quality of recovery can be realized under conditions of compression ratio.Second operating mode is equivalent by way of rapid alternation
It is doubled in by the frame frequency of detector, under conditions of identical observation frequency, which makes the systematic observation time subtract
Half, to weaken system to the susceptibility as shifting parameter.When being imaged to large scale scene, can be applicable to it is different at
Image field closes, and increases the versatility of the parallelly compressed perception imaging system.
The control method of parallelly compressed perception imaging system disclosed by the invention is established by the prior model of target scene
Optimal image quality parameter library, and in this, as in-orbit imaging pattern and the control strategy of parameter, spacecraft in orbit when, root
Data are moved according to real-time track picture, rational imaging pattern and parallel processing parameter is chosen according to parameter library, may be implemented optimal
Image quality.
Parallelly compressed perception imaging system 100 provided by the invention is carried out specifically with reference to specific embodiment
It is bright.
Embodiment 1：
As shown in Figure 1 to Figure 2, it is parallelly compressed perception imaging system 100 provided in an embodiment of the present invention.Including：Front end
Microscope group 2, digital micromirror array 3, the first matching microscope group 4, the second matching microscope group 5, the first detector 6 and the second detector 7；
The front end microscope group 2, for realizing the matching of target scene 1 and the digital micromirror array 3, the front end microscope group
2 are arranged between the target scene 1 and the digital micromirror array 3, and the target scene 1 can enter through the front end microscope group 2
It is mapped on digital micromirror array 3；
The light of the target scene 1 can in two directions be reflected, be reflexed to respectively by the digital micromirror array 3
First matching microscope group 4 and second matches microscope group 5；
The first matching microscope group 4, for realizing the matching of digital micromirror array 3 and first detector 6,
It is described first matching microscope group 4 by the light of the target scene 1 reflected by the digital micromirror array 3 export to
The focal plane of first detector 6；
The second matching microscope group 5, for realizing the matching of digital micromirror array 3 and second detector 7,
It is described second matching microscope group 5 by the light of the target scene 1 reflected by the digital micromirror array 3 export to
The focal plane of second detector 7.
The coding to target scene, digital micro-mirror are completed by digital micromirror array in the parallelly compressed perception imaging system
Two kinds of working conditions of array are respectively to deflect -12 ° and+12 °, corresponding light are reflected into two detectors respectively, therefore
The data that two detectors receive are that the complementary type of target scene encodes observed result.Front end microscope group mainly realizes mesh in system
The matching of scene and digital micromirror array is marked, matching microscope group mainly realizes the matching of digital micromirror array and planar array detector.
The parallelly compressed perception imaging system depends on the resolution ratio of target scene the scale of digital micromirror array, if number
The scale of word micro mirror array is N × N, and the pixel scale of planar array detector is M × M, then the corresponding number of a detector pixel
Micro mirror micro mirror number is n × n, wherein n=N/M.The piecemeal scale of system in parallel processing is also M × M.Parallel observation can subtract
Lower Item observation time and recovery algorithms calculate the time, therefore block count M is bigger, and the real-time of system is better, but simultaneously because
System sparse characteristic caused by image block deteriorates, and then the image Quality of recovery brought reduces.When simultaneously using compression observation,
System acquisition data are less than the collected data of conventional method, and the ratio between the two is to observe compression ratio D, is expressed as D=m/n2,
Wherein m is observation frequency.The parameter is positively correlated with system total amount of data, while when also determining total observation of piece image
Between.Therefore above-mentioned block count M and observation compression ratio D is two important parameters of system.As shown in Fig. 2, for according to one of the invention
Target scene, digital micromirror array, planar array detector correspondence schematic diagram in the parallelly compressed perception imaging system of embodiment.
Parallelly compressed perception imaging system based on the embodiment of the present invention, invention embodiment provide and
Row compressed sensing imaging system includes two kinds of operating modes.
The Irnaging procedures of first operating mode are as shown in Figure 3.First operating mode：Parallelly compressed perception is imaged system electrification
And after the completion of parameter initialization, the binary system random measurement matrix driving number generated by parallelly compressed perception imaging system is micro-
Lens array (DMD) completes the coding of target scene, then two detectors is driven to expose simultaneously.After completion of the exposure, by two
It is poor that the corresponding data of the collected piece image of detector make, and obtains one group of observation data.It is wanted according to system parameter setting
It asks, completes the coding observation of corresponding number.Image Restoration Algorithm is finally used to complete the recovery of original image.
Due to being two detectors while exposing, the data that two detectors are acquired are complementary, by two detectors
Corresponding data make it is poor, when using such operating mode, the observing matrix of realization for -1,1 sequence observing matrix.Compared to 0,
The performance of the observing matrix of 1 sequence, the observing matrix is more preferable, and higher figure can be realized under conditions of identical observation compression ratio
As Quality of recovery.
The Irnaging procedures of second operating mode are as shown in figure 4, parallelly compressed perception imaging system electrification and parameter initialization
After the completion, the binary system random measurement matrix driving digital micromirror array (DMD) generated by parallelly compressed perception imaging system
The coding of target scene is completed, one of detector exposes first.After completion of the exposure, system regeneration at one group of binary system with
Machine calculation matrix drives digital micromirror array coding, another detector to be exposed again.So realize the friendship of two detectors
For exposure, the coding observation frequency until reaching system parameter setting requirement.Finally Image Restoration Algorithm is used to complete original graph
The recovery of picture.
Compared with the first operating mode, which can only realize the observing matrix of 0,1 sequence, but using two detections
The mode of device rapid alternation coding, is equivalent to and the frame frequency of detector is doubled.And in systems in practice, the frame of detector
Frequency often influences the parameter bottleneck of observation time.Under conditions of identical observation frequency, when which makes systematic observation
Between halve, to weaken system to the susceptibility as shifting parameter.
Refering to what is shown in Fig. 2, in parallelly compressed perception imaging system, digital micro-mirror is depended on to the resolution ratio of target scene
The scale of array, if the scale of digital micromirror array is N × N, the pixel scale of planar array detector is M × M, then a detector
The corresponding digital micro-mirror micro mirror number of pixel is n × n, wherein n=N/M.The piecemeal scale of system in parallel processing is also M × M.
Parallel observation can reduce coding observation time and recovery algorithms calculate the time, therefore block count M is bigger, and the real-time of system is got over
It is good, but simultaneously because system sparse characteristic caused by image block deteriorates, and then the image Quality of recovery brought reduces.It adopts simultaneously
When being observed with compression, system acquisition data are less than the collected data of conventional method, and the ratio between the two is to observe compression ratio D,
It is expressed as D=m/n2, wherein m is observation frequency.The parameter is positively correlated with system total amount of data, while also determining a width figure
Total observation time of picture.Therefore above-mentioned block count M and observation compression ratio D is two important parameters of system.
Parallelly compressed perception imaging system parameters and operating mode based on the embodiment of the present invention, the embodiment of the present invention
It also proposed the control method of parallelly compressed perception imaging system.The control method includes：
First, according to the prior model of system imaging target scene, different tracks are established as the picture under shifting parameter moves mathematics
Model, and choose different parameters and operating mode is combined calculating, including different block count M, different observation compression ratio D and not
Same operating mode.Steps are as follows for specific execution：
Step 1：The image that there is like attribute with scene to be observed is chosen, this example is differentiated with one 2048 × 2048
The image of rate is target.
Step 2：Different tracks are established as the picture under shifting parameter moves mathematical model.Under modeling process：
If detector pixel dimension is a, the size that a detector pixel corresponds to digital micromirror array is n, image motion velocity
It is Δ t the time required to single observation for v, then defining the adjacent picture observed twice and moving factor p and be：
It is zero to be located at picture shifting when observing for the first time, then kth time observation is as moving PkIt can be expressed as：
Pk=(k-1) p
If the initial data of the subregion (i, j) to be observed is the matrix x of n × nI, j(i, j ∈ [1, M])：
The result for carrying out m observation is the matrix y of m × 1I, j(i, j ∈ [1, M])：
yi,j=[b1,1 … bm,1]T
It is zero, x as moving when observe for the first time1 i,j=xi,j, x1 i,jBecome row to indicate：
cx1 i,j=[a1 1,1 … a1 1,n a1 2,1 … a1 2,n a1 n,1 … a1 n,n]T
First observed result b is obtained according to the following formula1,1, wherein Φ1,：For the first row of calculation matrix.
b1,1=Φ1,:cx1 i,j
When carrying out kth time observation to the sub-block, xk i,jBecome：
WhereinFor downward rounding,It is upward
Rounding.
By xk i,jBecome row to indicate：
cxk i,j=[ak 1,1 … ak 1,n ak 2,1 … ak 2,n ak n,1 … ak n,n]T
It utilizes
bk,1=φk,:cxk i,j
Obtain k-th of observed result bk,1。
Step 3：According to above-mentioned as shifting formwork type, in the case where some is as shifting parameter, different block count M and different observations pressure are chosen
Contracting is than D and different working modes are combined calculating, the peak signal-to-noise ratio value for the image that is restored.It is illustrated in figure 5 as shifting rate p
When=0.002, using the Y-PSNR of the first operating mode with the trend chart of block count M and observation compression ratio D, Fig. 6
When showing as shifting rate p=0.002, using the Y-PSNR of the second operating mode with block count M and the change for observing compression ratio D
Change tendency chart.When Fig. 7 is shown as shifting rate p=0.03, using the Y-PSNR of the first operating mode with block count M and observation
The trend chart of compression ratio D, Fig. 8 show as shifting rate p=0.03 when, using the second operating mode Y-PSNR with point
The trend chart of block number M and observation compression ratio D.Take Y-PSNR maximum of points corresponding parameter M, D and work in Fig. 5, Fig. 6
System imaging parameter setting when operation mode is as p=0.002.Take the corresponding ginseng of Y-PSNR maximum of points in Fig. 7, Fig. 8
System imaging parameter setting when number M, D and operating mode are as p=0.03.It is specific according to the present invention one from Fig. 5 to Fig. 8
The model emulation of embodiment is as a result, intuitively provide different as under shifting parameter, different block count M and difference observe compression ratio D etc.
The corresponding recovery image effect of parameter.
Step 4：It calculates separately different as under shifting parameter, the corresponding parameter of Y-PSNR (PSNR) maximum of points is different
Block count M, different observation compression ratio D and operating mode, and then establish the different optimal imaging parameters as shifting parameter and library is set.
Step 5：Spacecraft in orbit when, according to real-time track operating parameter, from optimal image quality parameter library
Selection parameter value corresponding with current orbit parameter, and complete the initiation parameter setting of system.
Those skilled in the art should further appreciate that, be described in conjunction with the embodiments described herein
Each exemplary unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clear
Illustrate to Chu the interchangeability of hardware and software, generally describes each exemplary group according to function in the above description
At and step.These functions are implemented in hardware or software actually, depend on the specific application and design of technical solution
Constraints.Professional technician can use different methods to achieve the described function each specific application, but
It is that such implementation should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can use hardware, processor to execute
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only memory
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
In the description of the present invention, it is to be understood that, term "center", " longitudinal direction ", " transverse direction ", " length ", " width ",
" thickness ", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom" "inner", "outside", " up time
The orientation or positional relationship of the instructions such as needle ", " counterclockwise ", " axial direction ", " radial direction ", " circumferential direction " be orientation based on ... shown in the drawings or
Position relationship is merely for convenience of description of the present invention and simplification of the description, and does not indicate or imply the indicated device or element must
There must be specific orientation, with specific azimuth configuration and operation, therefore be not considered as limiting the invention.
In addition, term " first ", " second " are used for description purposes only, it is not understood to indicate or imply relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.
In the present invention unless specifically defined or limited otherwise, term " installation ", " connected ", " connection ", " fixation " etc.
Term shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integral；Can be that machinery connects
It connects, can also be electrical connection；It can be directly connected, can also can be indirectly connected through an intermediary in two elements
The interaction relationship of the connection in portion or two elements, unless otherwise restricted clearly.For those of ordinary skill in the art
For, the specific meanings of the above terms in the present invention can be understood according to specific conditions.
In the present invention unless specifically defined or limited otherwise, fisrt feature can be with "above" or "below" second feature
It is that the first and second features are in direct contact or the first and second features pass through intermediary mediate contact.Moreover, fisrt feature exists
Second feature " on ", " top " and " above " but fisrt feature be directly above or diagonally above the second feature, or be merely representative of
Fisrt feature level height is higher than second feature.Fisrt feature second feature " under ", " lower section " and " below " can be
One feature is directly under or diagonally below the second feature, or is merely representative of fisrt feature level height and is less than second feature.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiments or example.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, changes, replacing and modification.
The specific implementation mode of present invention described above, is not intended to limit the scope of the present invention..Any basis
Various other corresponding changes made by the technical concept of the present invention and deformation, should be included in the guarantor of the claims in the present invention
It protects in range.
Claims (9)
1. a kind of control method of parallelly compressed perception imaging system, which is characterized in that including step：
According to the prior model of imageable target scene, different tracks are established as the picture under shifting parameter moves mathematical model；
It chooses different parameters and operating mode is combined calculating, the Y-PSNR for the image that is restored；
Using different block counts corresponding when obtaining peak-peak signal-to-noise ratio, different compression ratio and the operating modes observed as the picture
Move the system setting under data；
The different system parameter settings as moving under data are calculated separately, parallelly compressed perception imaging system optimal image quality is established
Parameter library.
2. the control method of parallelly compressed perception imaging system according to claim 1, which is characterized in that the selection is not
Same parameter and operating mode are combined calculating, and in the Y-PSNR for the image that is restored, the parameter includes：Block count and
Observe compression ratio.
3. the control method of parallelly compressed perception imaging system according to claim 1, which is characterized in that the selection is not
Same parameter and operating mode are combined calculating, and in the Y-PSNR for the image that is restored, the operating mode includes：First
Operating mode and the second operating mode.
4. the control method of parallelly compressed perception imaging system according to claim 3, which is characterized in that when selection first
When operating mode：
The parallelly compressed perception imaging system drive digital micromirror array completes the coding of target scene, and controls the first detection
Device and the second detector expose simultaneously；
After completion of the exposure, the parallelly compressed perception imaging system acquires first detector and second detector
It is poor that the corresponding data of image make, and obtains one group of observation data and completes the coding observation of corresponding number；
Finally complete the recovery of original image.
5. the control method of parallelly compressed perception imaging system according to claim 4, which is characterized in that when selection second
When operating mode：
The parallelly compressed perception imaging system drive digital micromirror array completes the coding of target scene, and controls the first detection
Device exposes；
After completion of the exposure, the parallelly compressed perception imaging system drive digital micromirror array completes the coding of target scene,
And control the exposure of the second detector；
It obtains one group of observation data and completes the coding observation of corresponding number；
Finally complete the recovery of original image.
6. the control method of parallelly compressed perception imaging system according to claim 5, which is characterized in that the completion is former
Beginning image reverts to the recovery that original image is completed using Image Restoration Algorithm.
7. the control method of parallelly compressed perception imaging system according to claim 6, which is characterized in that the completion is former
Beginning image reverts to the recovery that original image is completed using Image Restoration Algorithm.
8. the control method of parallelly compressed perception imaging system according to claim 1, which is characterized in that further include step
Suddenly：
It is imaged system optimal image quality parameter library with the parallelly compressed perception to complete parallelly compressed perception imaging system
Control.
9. the control method of parallelly compressed perception imaging system according to claim 1, which is characterized in that the step：
With it is described it is parallelly compressed perception imaging system optimal image quality parameter library come complete it is parallelly compressed perception imaging system control,
Specially：According to real-time track operating parameter, from the parallelly compressed perception imaging system optimal image quality parameter library
Selection parameter value corresponding with current orbit parameter, and complete initiation parameter setting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810300907.8A CN108564542B (en) | 2018-04-04 | 2018-04-04 | Control method of parallel compressed sensing imaging system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810300907.8A CN108564542B (en) | 2018-04-04 | 2018-04-04 | Control method of parallel compressed sensing imaging system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108564542A true CN108564542A (en) | 2018-09-21 |
| CN108564542B CN108564542B (en) | 2022-02-22 |
Family
ID=63534179
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810300907.8A Active CN108564542B (en) | 2018-04-04 | 2018-04-04 | Control method of parallel compressed sensing imaging system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108564542B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110942432A (en) * | 2019-11-15 | 2020-03-31 | 中国科学院长春光学精密机械与物理研究所 | Image restoration policy, computer device, and readable storage medium |
| WO2023029344A1 (en) * | 2021-09-06 | 2023-03-09 | 中国科学院合肥物质科学研究院 | Complementary single-pixel centroid detection system and method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IL119140A (en) * | 1996-08-27 | 2001-05-20 | Image America Inc U S | Digital airborne panoramic camera system and method for its use |
| CN103398729A (en) * | 2013-07-31 | 2013-11-20 | 中国科学院空间科学与应用研究中心 | Compressed-sensing-based sparse aperture imaging system and method |
| CN104243837A (en) * | 2014-08-28 | 2014-12-24 | 浙江大学 | Vibration detection and remote sensing image recovery method based on single-exposure video reconstruction |
| CN104581166A (en) * | 2014-12-08 | 2015-04-29 | 天津大学 | Multichannel acquired image-based compressive imaging system and method |
| WO2015191998A1 (en) * | 2014-06-12 | 2015-12-17 | Duke University | Systyem and method for improved computational imaging |
| CN105467339A (en) * | 2015-12-31 | 2016-04-06 | 深圳先进技术研究院 | Quick multilayer magnetic resonance imaging method and device |
-
2018
- 2018-04-04 CN CN201810300907.8A patent/CN108564542B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IL119140A (en) * | 1996-08-27 | 2001-05-20 | Image America Inc U S | Digital airborne panoramic camera system and method for its use |
| CN103398729A (en) * | 2013-07-31 | 2013-11-20 | 中国科学院空间科学与应用研究中心 | Compressed-sensing-based sparse aperture imaging system and method |
| WO2015191998A1 (en) * | 2014-06-12 | 2015-12-17 | Duke University | Systyem and method for improved computational imaging |
| CN104243837A (en) * | 2014-08-28 | 2014-12-24 | 浙江大学 | Vibration detection and remote sensing image recovery method based on single-exposure video reconstruction |
| CN104581166A (en) * | 2014-12-08 | 2015-04-29 | 天津大学 | Multichannel acquired image-based compressive imaging system and method |
| CN105467339A (en) * | 2015-12-31 | 2016-04-06 | 深圳先进技术研究院 | Quick multilayer magnetic resonance imaging method and device |
Non-Patent Citations (2)
| Title |
|---|
| ASWIN C. SANKARANARAYANAN等: "Parallel compressive imaging", 《IMAGING AND APPLIED OPTICS 2015, OSA TECHNICAL DIGEST(ONLINE) (OPTICAL SOCIETYOF AMERICA, 2015)》 * |
| 崔光茫: "光学遥感图像质量提升及评价技术研究", 《中国博士学位论文全文数据库信息科技辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110942432A (en) * | 2019-11-15 | 2020-03-31 | 中国科学院长春光学精密机械与物理研究所 | Image restoration policy, computer device, and readable storage medium |
| WO2023029344A1 (en) * | 2021-09-06 | 2023-03-09 | 中国科学院合肥物质科学研究院 | Complementary single-pixel centroid detection system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108564542B (en) | 2022-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101605392B1 (en) | Digital imaging system, plenoptic optical device and image data processing method | |
| US10353191B2 (en) | Circular scanning technique for large area inspection | |
| RU2734018C2 (en) | Method and device for generating data representing a light field | |
| JP5618943B2 (en) | Image processing method, imaging apparatus, image processing apparatus, and image processing program | |
| CN105527021A (en) | Pixel grade scanning spectrum based on digital mirror member and imaging method | |
| CN104181686A (en) | Light field microscopical method based on FPM | |
| KR20100017236A (en) | Single-lens, single-sensor 3-d imaging device with a central aperture for obtaining camera position | |
| JP2013531268A (en) | Measuring distance using coded aperture | |
| JP5822937B2 (en) | Method for processing an image in the invisible spectral region, corresponding camera and measuring device | |
| CN103308452A (en) | Optical projection tomography image capturing method based on depth-of-field fusion | |
| CN108564542A (en) | A kind of control method of parallelly compressed perception imaging system | |
| KR20180053668A (en) | Method and apparatus for generating data representing a pixel beam | |
| CN108844899A (en) | A kind of parallelly compressed perception imaging system | |
| US8462179B2 (en) | Scene independent method for image formation in lenslet array imagers | |
| CN106908942A (en) | The parallel microscopic imaging apparatus of high-resolution based on microlens array | |
| RU2580870C2 (en) | High-resolution imaging system | |
| CN108537804A (en) | A kind of interesting target extracting method of parallelly compressed perception imaging system | |
| CN106154379B (en) | Micro reflector array design method, system and micro reflector array | |
| CN111080774B (en) | Method and system for reconstructing light field by applying depth sampling | |
| KR102096767B1 (en) | Multi-resolution compression detection image processing | |
| US7813529B1 (en) | Optical 3-d surface tomography using depth from focus of partially overlapping 2-d images | |
| JPH09145318A (en) | Three-dimensional measuring equipment | |
| CN103986936A (en) | Video compression collecting system and method | |
| Goldlücke et al. | Plenoptic Cameras. | |
| US9869583B1 (en) | Image scanning on a sparsely populated focal plane array to achieve nyquist sampling |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |