CN107727238B - Infrared parallel compression imaging system and imaging method based on mask modulation - Google Patents
Infrared parallel compression imaging system and imaging method based on mask modulation Download PDFInfo
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- G—PHYSICS
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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Abstract
The invention discloses an infrared parallel compression imaging system and an imaging method based on mask modulation, wherein a front infrared lens images an infrared scene on a mask set, a two-dimensional electric displacement platform controls the relative motion of the mask set, so that the switching of modulation modes is realized, a rear infrared lens accurately corresponds mask set blocks to a focal plane detector, and finally data acquisition is performed by a data acquisition card of a computer. Aiming at different mask plate group structures, the invention also discloses two infrared parallel compression imaging methods. The invention can obtain high-resolution images by using a small-scale infrared focal plane detector, and simultaneously remarkably improve the resolution of the region of interest, and effectively reduce the sampling time of a compression imaging system, the occupied space of the system and the manufacturing cost of a mask plate.
Description
Technical Field
The invention belongs to the field of infrared imaging, and particularly relates to an infrared parallel compression imaging system adopting a mask plate group for modulation.
Background
The infrared imaging technology has important functions in the fields of early warning, video monitoring, disaster monitoring and the like. Because the price of the infrared detector is far higher than that of the visible light detector, if the resolution of an imaging system is improved by adopting a large-area array infrared detector, the price is high, and the influence of photoelectric crosstalk, shot noise and the like can be brought.
Compressed sensing (compressive sensing, CS) theory states that: so long as the signal X epsilon R N×1 Sparse on some orthogonal basis of the transform ψ, a high-dimensional signal X can be projected onto the matrix of observations Φ of m×n dimensions which are uncorrelated with the basis of the transform ψA low-dimensional signal Y, i.e. y=ΦΘ, where Φ e R M×N Θ is a sparse representation of the original signal X on the orthogonal transform basis ψ. Finally, by solving an optimization problem, the accurate recovery or approximate approximation of the signal can be realized by using samples which are far less than the Nyquist sampling rate requirement.
The process of obtaining the measured values is actually to use the observation matrix phi M×N M row vectors of (2)Projecting sparse coefficient vectors, i.e. computing Θ and the respective observation vector +.>Inner product between them to obtain M observationsComponent measurement value vector y= (Y) 1 ,y 2 ,…,y M ) I.e.
Y＝ΦΘ＝ΦΨ T X.
Since M < N, the number of equations is much smaller than the number of unknowns, signal reconstruction is an underdetermined problem and cannot give a definite solution. This problem is typically translated into an L1 optimization problem (requiring that Φ and ψ are not related):
min‖Ψ T X‖ 1 s.t.ΦΨ T X＝Y
common algorithms include a matching pursuit algorithm, an orthogonal matching pursuit algorithm, a tree matching pursuit algorithm, a piecewise orthogonal matching pursuit algorithm, a minimum total variation method, a gradient projection method, an iterative thresholding method, a chain pursuit algorithm, and the like.
The university of rice proposes a single-pixel camera structure based on the above theory. The method is characterized in that spatial phase modulation is realized through Micro mirror overturning on a Digital Micro-mirror Device (DMD), a single pixel detector is used for collecting enough measured values, and finally an original image is obtained by solving an optimization problem. At this time, the resolution of the reconstructed image depends on the resolution of the DMD, and a better image reconstruction effect can be obtained when the measurement rate (the ratio of the number of measurements to the total number of pixels) is 25%. Single pixel cameras still face the problem of long sampling times: when the measurement rate is fixed, the higher the resolution of the DMD, the more measurements are required. But also the camera needs to be always aimed at the object of interest until a sufficient number of samples are taken for reconstruction. The target also needs to remain as unchanged as possible during the sampling process. In addition, commercial DMDs are currently limited to the ultraviolet (363-420 nm), visible (400-700 nm) and short wave infrared (700-2500 nm) bands. Other spatial light modulators, such as masks, are therefore commonly used in other bands. In order to obtain enough measured values, multiple measurement mode switching needs to be performed, which may cause the problems of large occupied space, high manufacturing cost of the mask plate and the like of the compressed sensing imaging system based on the mask plate.
Disclosure of Invention
In order to shorten the sampling time of a compression imaging system and reduce the occupied space of the system and the manufacturing cost of mask plates, the invention provides an infrared parallel compression imaging system which adopts mask plate groups for modulation, and the infrared parallel compression imaging system can obtain high-resolution images by a small-scale infrared focal plane detector and obviously improve the resolution of a region of interest.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the invention relates to an infrared parallel compression imaging system which comprises a front infrared lens 1, a mask plate group 2, a two-dimensional electric displacement platform 3, a rear infrared lens 4, an infrared focal plane detector 5 and a computer 6, wherein the front infrared lens is arranged on the front side of the mask plate group; the mask plate group 2 is positioned on the image plane of the front infrared lens 1 and is fixed on the two-dimensional electric displacement platform 3; the infrared focal plane detector 5 is positioned on the image surface of the rear infrared lens 4, and the detector unit blocks correspond to independent block areas on the mask plate group 2; the computer 6 is connected with the two-dimensional electric displacement platform 3 and the infrared focal plane detector 5.
The working wave band of the front-end infrared lens 1 is 8-14 mu m, the focal length is 50mm, and the F number is 1.8.
The mask plate group 2 consists of horizontal and vertical metal mask plates, and the minimum units of the mask plates are square. Each mask plate forms a binary matrix of 0 and 1, wherein 1 corresponds to the light-transmitting part and 0 corresponds to the light-non-transmitting part. According to whether the minimum units are the same, the mask plate group can be divided into the following two cases: (a) The minimum unit side length of the horizontal mask plate is k (k=2, 3, …, 20) times of the minimum unit side length of the vertical mask plate, wherein the minimum unit side length of the horizontal mask plate is 10 mu m, the minimum unit side length of the vertical mask plate is 5 mu m, the size of the horizontal mask plate is 30mm multiplied by 40mm, and the size of the vertical mask plate is 40mm multiplied by 5mm; (b) The minimum units of the horizontal mask plate and the vertical mask plate are the same, and the two mask plates are overlapped and complemented to form a mask plate with a square unit which is larger: the minimum unit side length of the horizontal mask plate and the vertical mask plate is 5 mu m, the size of the horizontal mask plate is 30mm multiplied by 40mm, the vertical mask plate is composed of a series of vertical mask plates with the size of 40mm multiplied by 4mm, the vertical mask plates are arranged next to each other, and the total overlapping area of the two mask plates is the area size of the horizontal mask plate.
The two-dimensional electric displacement platform 3 is controlled by computer programming, and the positioning accuracy of the two-dimensional electric displacement platform in the horizontal direction and the vertical direction is higher than 0.005mm.
The working wave band of the rear infrared lens 4 is 8-14 mu m, the focal length is 16mm, the F number is 1.4, and the minimum object distance is 0.1m.
The resolution of the infrared focal plane detector 5 according to the present invention is 1024 x 1280, and the infrared focal plane detector unit size can be increased by means of pixel binning.
The computer 6 is a desktop computer provided with a two-dimensional electric displacement platform driver and a focal plane detector driver, and is provided with a data acquisition card.
According to the mask plate group structure adopted, the infrared parallel compression imaging method can be divided into the following two types: (a) The minimum unit side length of the horizontal mask plate is k (k=2, 3, …, 20) times of the minimum unit side length of the vertical mask plate, and the imaging method comprises the following steps:
step 1: the incident light is imaged on the mask plate group 2 through the front infrared lens 1;
step 2: the light transmitted through the mask plate group 2 is imaged on an infrared focal plane detector 5 through a rear infrared lens 4;
step 3: the computer 6 controls the infrared focal plane detector 5 to collect data and uploads the measured data to the computer data collection card;
step 4: if the vertical mask plate just covers the region of interest, directly executing the step 5, otherwise, controlling the two-dimensional electric displacement platform 3 by the computer 6, and moving the vertical mask plate to a new region of interest in a manner of horizontally moving or continuously overturning by 180 degrees;
step 5: if the horizontal mask plate has moved to the end, directly executing step 6, otherwise, controlling the two-dimensional electric displacement platform 3 by the computer 6 to enable the horizontal mask plate to move along the horizontal direction, keeping the vertical mask plate motionless, and repeating steps 2-5 until enough measurement data are acquired;
step 6: if the acquired measurement data are insufficient, the computer 6 controls the two-dimensional electric displacement platform 3 to enable the vertical mask plate to move along the vertical direction, the horizontal mask plate is kept still, and the steps 2-6 are repeated until enough measurement data are acquired;
step 7: the original image is reconstructed on the computer 6 using a common signal reconstruction algorithm (e.g., an orthogonal matching pursuit algorithm, a minimum total variation method, a gradient projection method, a chain pursuit algorithm, etc.).
(b) The minimum units of the horizontal mask plate and the vertical mask plate are the same, and the two mask plates are overlapped and complemented to form a mask plate with a square unit and a larger square unit, and at the moment, the imaging method comprises the following steps:
step 1: the incident light is imaged on the mask plate group 2 through the front infrared lens 1;
step 2: the light transmitted through the mask plate group 2 is imaged on an infrared focal plane detector 5 through a rear infrared lens 4;
step 3: the computer 6 controls the infrared focal plane detector 5 to collect data and uploads the measured data to the computer data collection card;
step 4: if the staggered vertical mask plates just cover the region of interest, directly executing the step 5, otherwise, controlling the two-dimensional electric displacement platform 3 to move by the computer 6, so that all the vertical mask plates and the horizontal mask plates of the region of interest are staggered to improve the resolution of the region of interest, and the mask plates of other regions keep initial relative positions;
step 5: if the horizontal mask plate has moved to the end, directly executing step 6, otherwise, controlling the two-dimensional electric displacement platform 3 by the computer 6 to enable all mask plates to synchronously move along the horizontal direction, and repeating steps 2-5 until enough measurement data are acquired;
step 6: if the acquired measurement data are insufficient, the computer 6 controls the two-dimensional electric displacement platform 3 to enable the vertical mask plate of the region of interest to move along the vertical direction, other mask plates are kept motionless, and the steps 2-6 are repeated until enough measurement data are acquired;
step 7: the original image is reconstructed on the computer 6 using a common signal reconstruction algorithm (e.g., an orthogonal matching pursuit algorithm, a minimum total variation method, a gradient projection method, a chain pursuit algorithm, etc.).
The beneficial effects of the invention are as follows: 1. the mask plate component blocks are accurately corresponding to the focal plane detector, a high-resolution image is obtained by a small-scale detector, and the sampling time is effectively controlled; 2. the high-resolution mask plate is adopted for the region of interest, and the low-resolution mask plate is adopted for other regions, so that the resolution of the region of interest is obviously improved under the condition of effectively controlling the measurement times; 3. through the relative movement of the mask plate, the manufacturing cost of the mask plate and the switching time of the mask plate are effectively reduced.
Drawings
Fig. 1 is a schematic structural diagram of an infrared parallel compression imaging system according to a first embodiment of the present invention.
Fig. 2 is a schematic diagram of a mask set switching manner in the first embodiment of the present invention.
Fig. 3 is a schematic diagram of a mask set switching manner in the second embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a mask set in a third embodiment of the present invention.
Fig. 5 is a schematic view of a mask set in a third embodiment of the present invention, where (1) is a schematic view when 3 vertical masks cover a region of interest; (2) Schematic diagrams when 2 vertical mask plates cover the region of interest; (3) The method is a schematic diagram when the vertical mask plates in the region of interest move in the vertical direction after all mask plates horizontally move to the end.
Detailed Description
The invention is further illustrated below with reference to examples.
Example 1
Fig. 1 is a schematic diagram of the structure of an infrared parallel compression imaging system in the first embodiment. As shown in fig. 1, the infrared parallel compression imaging system is composed of a front infrared lens 1, a mask plate group 2, a two-dimensional electric displacement platform 3, a rear infrared lens 4, an infrared focal plane detector 5 and a computer 6. The front infrared lens 1 images the infrared scene onto the mask plate group 2, and the mask plate group 2 images the infrared focal plane detector 5 through the rear infrared lens 4. The computer 6 controls the two-dimensional electric displacement platform 3 to change the relative position of the mask plate group 2 so as to realize the state switching of the mask plates. The infrared focal plane detector 5 collects data once every time the state of the mask plate is switched, and the measured data is uploaded to a data acquisition card of the computer 6. And finally, reconstructing the region of interest and other regions respectively according to the acquired data.
The mask plate group switching mode is shown in fig. 2. The size of the working area is 24mm multiplied by 36mm, the size of the mask plate 2a-1 is 30mm multiplied by 40mm, the side length of the minimum unit is 10 mu m, thus the row and column number of the mask plate 2a-1 in the working area is 2400 multiplied by 3600, the size of the mask plate 2a-2 is 40mm multiplied by 5mm, the side length of the minimum unit is 5 mu m, thus the row and column number in the working area is 4800 multiplied by 1000, and the mask plate switching rule is as follows: firstly, moving the mask plate 2a-2 to a region of interest along the horizontal direction, wherein the moving step length is 10 mu m; simultaneously, the mask plate 2a-1 is moved in the horizontal direction, and the moving step length is 10 mu m until the mask plate 2a-1 cannot continue to move towards the direction; if the measurement times of the region of interest are insufficient, the mask plate 2a-2 is moved along the vertical direction, and the movement step length is 5 μm.
The 8 x 8 pixels on the infrared focal plane detector 5 are combined into one large pixel, so that the detector resolution becomes 128 x 160. At this time, 20 x 20 units on the horizontal mask correspond to one large pixel on the detector. 40X 40 units on the vertical mask plate correspond to one large pixel on the detector. When the measurement rate is 25%, the number of measurements required for the high resolution region of interest is
40×40×25％＝400
The number of measurements required in other areas is
20×20×25％＝100
Therefore, if only the low resolution reconstruction is performed on the whole image, only 100 mask plate states need to be switched, but if the image of the high resolution region of interest is to be obtained, 300 mask plate states need to be continuously switched. The data amount collected at this time is
If the traditional method is adopted to carry out high-resolution imaging on the whole image, the acquired data volume is that
4800×7200＝3.456×10 7
The amount of data acquired by the imaging method in this embodiment is about 8.85% of that of the conventional method.
If the whole image is imaged with low resolution by adopting the traditional method, the acquired data volume is that
2400×3600＝8.64×10 6
The amount of data acquired by the imaging method in this embodiment is about 35.4% of that of the conventional method.
Example two
In the second embodiment, only the switching manner of the mask plate set is changed, and other structures of the system are the same as those in the first embodiment, so that the related description is omitted. Fig. 3 is a schematic diagram of a mask set switching manner in the second embodiment. The size of the working area is 24mm multiplied by 36mm, the size of the mask plate 2b-1 is 30mm multiplied by 40mm, the side length of the minimum unit is 10 mu m, thus the row and column number of the mask plate 2b-1 in the working area is 2400 multiplied by 3600, the size of the mask plate 2b-2 is 40mm multiplied by 5mm, the side length of the minimum unit is 5 mu m, thus the row and column number in the working area is 4800 multiplied by 1000, and the switching rule of the mask plate at the moment is as follows: the mask plate 2b-2 is firstly moved to the region of interest in a continuous overturning manner by 180 degrees, and each overturning takes a vertical side close to the region of interest as an axis, so that the moving step length is 5mm of the side of the mask plate 2b-2 in the horizontal direction; simultaneously, the mask plate 2b-1 is moved in the horizontal direction, and the moving step length is 10 mu m until the mask plate 2b-1 cannot continue to move towards the direction; if the measurement times of the region of interest are insufficient, the mask plate 2b-2 is moved along the vertical direction, and the movement step length is 5 mu m.
The mask plate group and the detector still meet the corresponding relation in the first embodiment. The amount of data acquired by the imaging method in this embodiment is about 8.85% (35.4%) of the conventional method of high resolution (low resolution).
Example III
In the third embodiment, only the switching manner of the mask plate group is changed, and other structures of the system are the same as those in the first embodiment, so that the related description is omitted. Fig. 4 is a schematic diagram of a mask set structure in the third embodiment. The working area is 24mm by 36mm, the minimum unit side lengths of the mask plate 2c-1 and the mask plate group 2c-2 are 5 mu m, and the size of the mask plate 2c-1 is 30mm by 40mm. The total size of the mask plate group 2c-2 is 40mm multiplied by 40mm, the mask plate group 2c-2 is divided into 10 equal parts, so that the size of each part is 40mm multiplied by 4mm, in addition, the non-hollowed-out units of the overlapped part of the mask plates 2c-1 and 2c-2 in the initial state can form larger square non-hollowed-out units by complementation, and the side length of each square non-hollowed-out unit is 10 mu m, and the switching rule of the mask plates at the moment is as follows: all mask plates synchronously move along the horizontal direction, and the moving step length is 10 mu m; if the resolution of the region of interest needs to be improved, enabling the vertical template in the region of interest to translate upwards by 5 mu m along the vertical direction, and keeping the relative position of the initial state of the mask plates outside the region of interest, wherein all the mask plates still synchronously move along the horizontal direction; if the measurement times of the region of interest are insufficient, the vertical mask plate of the region of interest can be continuously moved along the vertical direction, the moving step length is 5 mu m, and the vertical mask plate can be vertically translated as long as a part of the vertical mask plate is contained in the region of interest.
The 8 x 8 pixels on the infrared focal plane detector 5 will still be combined into one large pixel, thus the detector resolution is 128 x 160. Due to the complementary relationship of the mask, the minimum unit side of the non-region of interest is 10 μm. Thus 20 x 20 units on the non-region of interest correspond to one large pixel on the detector, and 40 x 40 units on the region of interest correspond to one large pixel on the detector. If the size of the region of interest is 24mm×6mm, only 2 or 3 vertical mask plates need to be staggered in the region of interest in the process of horizontally moving the whole mask plate group. Fig. 5 shows three states of the mask set in the third embodiment, where (1) is a case where 3 vertical masks cover the region of interest when all the masks move horizontally in synchronization; (2) Covering the region of interest for 2 vertical mask plates when all mask plates move horizontally synchronously; (3) The vertical mask plate in the region of interest moves in the vertical direction after all mask plates horizontally move to the end.
When the measurement rate is 25%, the number of measurements required for the high resolution region of interest is still 400, and the number of measurements required for the other regions is 100. If only the low resolution reconstruction is performed on the whole image, only 100 mask plate states need to be switched, but if the image of the region of interest with high resolution is obtained, 300 mask plate states need to be continuously switched. The amount of data acquired using the imaging method in this example is still about 8.85% (35.4%) of the high resolution (low resolution) conventional method.
The present invention is not limited to the scope of the above embodiments. Modifications made by those skilled in the art within the framework of this idea are within the scope of protection.
Claims (7)
1. An infrared parallel compression imaging method realized on an infrared parallel compression imaging system based on mask modulation, wherein the infrared parallel compression imaging system based on mask modulation comprises a front infrared lens (1), a mask set (2), a two-dimensional electric displacement platform (3), a rear infrared lens (4), an infrared focal plane detector (5) and a computer (6); the mask plate group is adopted for spatial modulation: the mask plate group (2) is positioned on the image surface of the front infrared lens (1) and is fixed on the two-dimensional electric displacement platform (3); the infrared focal plane detector (5) is positioned on the image surface of the rear infrared lens (4), and the detector unit blocks correspond to independent block areas on the mask plate group (2); the computer (6) is connected with the two-dimensional electric displacement platform (3) and the infrared focal plane detector (5);
the method is characterized in that: the infrared parallel compression imaging method comprises the following steps:
the mask plate group structure is divided into the following two types:
(a) The minimum unit side length of the horizontal mask plate is k times of the minimum unit side length of the vertical mask plate, k=2, 3, … and 20, and the imaging method comprises the following steps:
step 1: the incident light is imaged on the mask plate group (2) through the front infrared lens (1);
step 2: light transmitted through the mask plate group (2) is imaged on an infrared focal plane detector (5) through a rear infrared lens (4);
step 3: the computer (6) controls the infrared focal plane detector (5) to collect data and uploads the measured data to the computer data collection card;
step 4: if the vertical mask plate just covers the region of interest, directly executing the step 5, otherwise, controlling the two-dimensional electric displacement platform (3) by the computer (6), and moving the vertical mask plate to a new region of interest in a mode of horizontally moving or continuously overturning by 180 degrees;
step 5: if the horizontal mask plate is moved to the end, the step 6 is directly executed, otherwise, the computer (6) controls the two-dimensional electric displacement platform (3) to enable the horizontal mask plate to move along the horizontal direction, the vertical mask plate is kept motionless, and the steps 2-5 are repeated until enough measurement data are acquired;
step 6: if the acquired measurement data are insufficient, the computer (6) controls the two-dimensional electric displacement platform (3) to enable the vertical mask plate to move along the vertical direction, the horizontal mask plate is kept motionless, and the steps 2-6 are repeated until enough measurement data are acquired;
step 7: reconstructing an original image on a computer (6) using a signal reconstruction algorithm, the signal reconstruction algorithm comprising: an orthogonal matching pursuit algorithm, a minimum total variation method, a gradient projection method and a chain pursuit algorithm;
(b) The minimum units of the horizontal mask plate and the vertical mask plate are the same, and the two mask plates are overlapped and complemented to form a mask plate with a square unit and a larger square unit, and at the moment, the imaging method comprises the following steps:
step 1: the incident light is imaged on the mask plate group (2) through the front infrared lens (1);
step 2: light transmitted through the mask plate group (2) is imaged on an infrared focal plane detector (5) through a rear infrared lens (4);
step 3: the computer (6) controls the infrared focal plane detector (5) to collect data and uploads the measured data to the computer data collection card;
step 4: if the staggered vertical mask plates just cover the region of interest, directly executing the step 5, otherwise, controlling the two-dimensional electric displacement platform (3) to move by the computer (6) so that all the vertical mask plates and the horizontal mask plates of the region of interest are staggered to improve the resolution of the region of interest, and keeping the mask plates of other regions at initial relative positions;
step 5: if the horizontal mask plate is moved to the end, the step 6 is directly executed, otherwise, the computer (6) controls the two-dimensional electric displacement platform (3) so that all mask plates synchronously move along the horizontal direction, and the steps 2-5 are repeated until enough measurement data are acquired;
step 6: if the acquired measurement data are insufficient, the computer (6) controls the two-dimensional electric displacement platform (3) to enable the vertical mask plate of the region of interest to move along the vertical direction, other mask plates are kept motionless, and the steps 2-6 are repeated until enough measurement data are acquired;
step 7: reconstructing an original image on a computer (6) using a signal reconstruction algorithm, the signal reconstruction algorithm comprising: orthogonal matching pursuit algorithm, minimum total variation method, gradient projection method and chain pursuit algorithm.
2. The method for infrared parallel compression imaging realized on an infrared parallel compression imaging system based on mask modulation according to claim 1, wherein the working band of the front infrared lens (1) is 8-14 μm, the focal length is 50mm, and the F number is 1.8.
3. The method for infrared parallel compression imaging realized on an infrared parallel compression imaging system based on mask modulation according to claim 1, wherein the mask set (2) consists of horizontal and vertical metal masks, and the minimum units of the masks are square; each mask plate forms a binary matrix of 0 and 1, wherein 1 corresponds to a light-transmitting part and 0 corresponds to a light-non-transmitting part; the following two cases are classified according to whether the minimum units are identical: (a) The side length of the minimum unit of the horizontal mask plate is k, k=2, 3, … and 20 times of the side length of the minimum unit of the vertical mask plate, wherein the side length of the minimum unit of the horizontal mask plate is 10 mu m, the side length of the minimum unit of the vertical mask plate is 5 mu m, the size of the horizontal mask plate is 30mm multiplied by 40mm, and the size of the vertical mask plate is 40mm multiplied by 5mm; (b) The minimum units of the horizontal mask plate and the vertical mask plate are the same, and the two mask plates are overlapped and complemented to form a mask plate with a square unit which is larger: the minimum unit side length of the horizontal mask plate and the vertical mask plate is 5 mu m, the size of the horizontal mask plate is 30mm multiplied by 40mm, the vertical mask plate is composed of a series of vertical mask plates with the size of 40mm multiplied by 4mm, the vertical mask plates are arranged next to each other, and the total overlapping area of the two mask plates is the area size of the horizontal mask plate.
4. The method for infrared parallel compression imaging realized on an infrared parallel compression imaging system based on mask modulation according to claim 1, wherein the two-dimensional electric displacement platform (3) is controlled by computer programming, and the positioning precision of the two-dimensional electric displacement platform in the horizontal direction and the vertical direction is higher than 0.005mm.
5. The method for infrared parallel compression imaging implemented on an infrared parallel compression imaging system based on mask modulation according to claim 1, wherein the working band of the rear infrared lens (4) is 8-14 μm, the focal length is 16mm, the f-number is 1.4, and the minimum object distance is 0.1m.
6. An infrared parallel compression imaging method implemented on a mask modulation based infrared parallel compression imaging system according to claim 1, the resolution of the infrared focal plane detector (5) is 1024 x 1280 and the infrared focal plane detector unit size is increased by means of pixel binning.
7. An infrared parallel compression imaging method implemented on an infrared parallel compression imaging system based on mask modulation according to claim 1, wherein the computer (6) is a desktop computer equipped with a two-dimensional electric displacement platform driver and a focal plane detector driver and is provided with a data acquisition card.
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| CN111579521B (en) * | 2020-05-06 | 2021-10-15 | 中国科学院沈阳自动化研究所 | Terahertz compression imaging optimization method and system based on data selection |
| CN111698405B (en) * | 2020-06-05 | 2021-09-03 | 中国航空工业集团公司洛阳电光设备研究所 | Parallel compression sensing imaging device |
| CN111601052A (en) * | 2020-06-22 | 2020-08-28 | 仉尚航 | Short wave infrared imaging system and imaging method thereof |
| CN113033723B (en) * | 2021-03-08 | 2023-06-16 | 山东大学 | Annular mask, light field regulation and control method, single-pixel imaging method and system |
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