CN102821236A - Compression imaging system based on separated two-dimensional compression sensing principle - Google Patents
Compression imaging system based on separated two-dimensional compression sensing principle Download PDFInfo
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- CN102821236A CN102821236A CN2012102443503A CN201210244350A CN102821236A CN 102821236 A CN102821236 A CN 102821236A CN 2012102443503 A CN2012102443503 A CN 2012102443503A CN 201210244350 A CN201210244350 A CN 201210244350A CN 102821236 A CN102821236 A CN 102821236A
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- 238000003384 imaging method Methods 0.000 title claims abstract description 44
- 230000006835 compression Effects 0.000 title claims abstract description 25
- 238000007906 compression Methods 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 claims abstract description 16
- 230000008569 process Effects 0.000 claims abstract description 15
- 230000008447 perception Effects 0.000 claims description 12
- 238000005056 compaction Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 abstract description 11
- 238000005259 measurement Methods 0.000 abstract description 7
- 230000008901 benefit Effects 0.000 abstract description 4
- 230000000295 complement effect Effects 0.000 abstract description 2
- 239000004065 semiconductor Substances 0.000 abstract description 2
- 230000008520 organization Effects 0.000 description 5
- 230000002411 adverse Effects 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 230000009466 transformation Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 229910044991 metal oxide Inorganic materials 0.000 description 1
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- 238000000926 separation method Methods 0.000 description 1
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
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Abstract
The invention discloses a compression imaging system based on a separated two-dimensional compression sensing principle. With the adoption of the imaging system, a sequential structure is adopted to produce an image on a digital micro-mirror device (DMD) through a focusing lens; line information of the image is treated by controlling a micro-mirror angle of the DMD through a constructed random line measurement matrix; the obtained line information is focused on a linear CMOS (complementary metal-oxide-semiconductor transistor) image sensor through a micro-mirror array; column information of the image is processed by means that the CMOS sensor is controlled to carry out pixel read by the constructed random column measurement matrix, so that a primary imaging process is realized, and compression information of the image is obtained through an imaging process with a certain frequency, so that the entire compression imaging process can be completed. The compression imaging system has the advantages of rapid imaging speed and strong anti-jamming capability and can provide a new method for imaging in a severe environment and imaging in an encrypted manner.
Description
The application obtains the young fund (12JCQNJC00400) in Tianjin; The subsidy of Tianjin institution of higher education science and technology development fund planning item (20100716).
Technical field
The present invention relates to a kind of compression imaging system, but belong to imaging and the ciphered compressed imaging field that is applicable to adverse circumstances based on the compressed sensing theory.
Background technology
The compressed sensing theory is pointed out as long as signal has sparse property or compressibility; Promptly can through one with the incoherent random measurement matrix of sparse transform-based with on higher-dimension signal projection to a lower dimensional space, can from these a small amount of projections, reconstruct primary signal through finding the solution an optimization problem then.Under this theoretical frame, sample frequency no longer is decided by the bandwidth of signal, and depends on structure and the content of information in signal; And the compressed sensing theory will be sampled and combined with compression, the contradiction between effectively having solved sampling during classical signals is handled and having compressed.Image information has characteristics such as data volume is big, bandwidth is wide, in order to reduce the channel pressure of images, usually image information is carried out compressed encoding, to reduce the data volume of presentation video.Existing image processing based on compressed sensing belongs to digital compression perception field more, promptly utilizes the compressed sensing theory to handle to the image digitization information of having gathered; Do not realize the advantage of image information compression (that is compression imaging technique) in performance and the sampling process simultaneously.
Existing minority mainly adopts sequential organization and parallel organization based on the theoretical compression imaging system of compressed sensing, but the former is longer for the required Measuring Time of large-size image, and it is big to measure noise, poor practicability.Though latter's image taking speed is fast, imaging system need be demarcated in advance, its process more complicated, and amount of calculation is bigger; And for realizing the large-size images imaging, its imaging system structure is bigger, is difficult to practicability.
Summary of the invention
The present invention is directed to the problem and the active demand of compressed sensing theory existence in being compressed into the picture realization of prior art; Give full play to the advantage that realizes the image information compression in the theoretical sampling process of compressed sensing simultaneously, a kind of compression imaging system based on separate type two dimensional compaction perception theory is provided.
The technical scheme that the present invention takes for the technical problem that exists in the solution known technology is:
Compression imaging system based on separate type two dimensional compaction perception theory of the present invention, this imaging system comprise condenser lens, DMD DMD (Digital Micromirror Device), microlens array and linear array CMOS (the Complementary Metal Oxide Semiconductor) imageing sensor that is linked in sequence and is provided with; Target image projects on the DMD DMD via condenser lens, and the micro mirror angle of STOCHASTIC CONTROL DMD DMD realizes the row processing of image information; By microlens array reflective information is focused on the linear array cmos image sensor, the pixel of STOCHASTIC CONTROL linear array cmos image sensor reads the row of realizing image information and handles again.
This imaging system is provided with control circuit, and control circuit is made up of image-forming module drive circuit and control module circuit; The image-forming module drive circuit comprises the optics control section, and DMD control section that is connected with the optics control section and CMOS control section; The control module circuit comprises FPGA timing sequence generating and the control section that is connected with the CMOS control section with the DMD control section, DSP calculation process part that is connected with control section with the FPGA timing sequence generating and the demonstration storage area that partly is connected with the DSP calculation process.
Advantage and good effect that the present invention has are:
The present invention is theoretical according to compressed sensing, and is theoretical in conjunction with tensor product, is separate type two dimensional compaction perception theory with one dimension compressed sensing theoretical transformation, for the compression imaging system of practicality and high efficiency is provided fundamental basis.Theoretical based on two dimensional separation formula compressed sensing, reduced to produce and the required memory headroom of storage random measurement matrix, improved the practicality of imaging system, can be used for the picture that is compressed into of large-size images.The present invention adopts sequential organization; Realize the capable Information Compression of image by DMD DMD; The column information of being realized image by the linear array cmos image sensor compresses, and can reduce the required number of times of imaging process, improves the imaging system signal to noise ratio; Can realize the picture that is compressed into of highly effective, can be used for adverse circumstances imagings, be encrypted to and special imaging field such as look like.This system imaging speed is fast, antijamming capability strong, can form images, be encrypted to picture for adverse circumstances provides new approach.
Description of drawings
Fig. 1 is separate type two dimensional compaction perception principle figure of the present invention;
Fig. 2 is the picture system optics structural representation that is compressed into of the present invention;
Fig. 3 is the structural representation that is compressed into the picture system, control circuit of the present invention.
Critical piece symbol description among the figure:
1. condenser lens 2. DMDs
3. microlens array 4. line scan image sensors.
Embodiment
Followingly the present invention is carried out detailed explanation with reference to accompanying drawing and embodiment.
Compression imaging system based on separate type two dimensional compaction perception theory of the present invention; Theoretical according to compressed sensing; Theoretical in conjunction with tensor product, be separate type two dimensional compaction perception theory with one dimension compressed sensing theoretical transformation, for the compression imaging system of practicality and high efficiency is provided fundamental basis.Fig. 1 has described the principle of separate type two dimensional compaction perception; If original image two dimension expression-form is
; Random measurement matrix
can be expressed as
through tensor product; Then theoretical according to CS, image accidental projection value G is:
In the formula
,
,
are respectively random row survey bureau matrix and random column is measured matrix.Can know from separate type two dimensional compaction perception theory; The memory space of random measurement matrix becomes
from traditional C theoretical
; For large-size images; With the treating capacity that greatly alleviates imaging system, make imaging system practicality and high efficiency more.
Fig. 2 is the picture system optics structural representation that is compressed into of the present invention; According to principle shown in Figure 1, the compression imaging system of a kind of sequential organization of design.As shown in Figure 2, imaging system of the present invention comprises condenser lens 1, DMD 2, microlens array 3 and the array image sensor 4 that is linked in sequence and is provided with.Imaging system adopts sequential organization, and target image images on the DMD DMD through condenser lens, is measured the micro mirror angle of matrix control DMD by the random row of structure the capable information of image is handled; The capable information of obtaining is focused on the linear array cmos image sensor through microlens array; Measuring matrix control cmos sensor pixel by the random column of structure reads the column information of image is handled; So far realize Polaroid process; Obtain the compressed information of image through the imaging process of certain number of times, accomplish the whole picture that is compressed into.
Fig. 3 is the control circuit structural representation of compression imaging system of the present invention, and is as shown in Figure 3, and control circuit is made up of image-forming module drive circuit and control module circuit; The image-forming module drive circuit comprises the optics control section, and DMD control section that is connected with the optics control section and CMOS control section; The control module circuit comprises FPGA timing sequence generating and the control section that is connected with the CMOS control section with the DMD control section; DSP calculation process part that is connected with control section with the FPGA timing sequence generating and the demonstration storage area that partly is connected with the DSP calculation process, and read-only memory RAM.The control module circuit mainly realizes compressing the storage of imaging system random measurement matrix and the functions such as generation of control timing.
Claims (2)
1. compression imaging system based on separate type two dimensional compaction perception theory is characterized in that: this imaging system comprises condenser lens (1), DMD (2), microlens array (3) and the array image sensor (4) that is linked in sequence and is provided with; Target image projects on the DMD (2) via condenser lens (1), and the micro mirror angle of STOCHASTIC CONTROL DMD (2) realizes the row processing of image information; By microlens array (3) reflective information is focused on the line scan image sensor (4), the pixel of STOCHASTIC CONTROL line scan image sensor (4) reads the row of realizing image information and handles again.
2. compression imaging system based on separate type two dimensional compaction perception theory, it is characterized in that: this imaging system is provided with control circuit, and control circuit is made up of image-forming module drive circuit and control module circuit; The image-forming module drive circuit comprises the optics control section, and DMD control section that is connected with the optics control section and CMOS control section; The control module circuit comprises FPGA timing sequence generating and the control section that is connected with the CMOS control section with the DMD control section, DSP calculation process part that is connected with control section with the FPGA timing sequence generating and the demonstration storage area that partly is connected with the DSP calculation process.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103237204A (en) * | 2013-03-21 | 2013-08-07 | 上海交通大学 | Video signal collection and reconfiguration system based on high-dimension compressed sensing |
| CN104155658A (en) * | 2014-08-15 | 2014-11-19 | 中国科学院上海技术物理研究所 | Image reconstruction method of laser radar imaging system based on compressed sensing |
| CN105120141A (en) * | 2015-07-15 | 2015-12-02 | 北京理工大学 | Compressed sensing photoelectronic imaging method and device |
| CN109194959A (en) * | 2018-09-28 | 2019-01-11 | 中国科学院长春光学精密机械与物理研究所 | A kind of compressed sensing imaging method, device, equipment, system and storage medium |
| CN114659635A (en) * | 2022-05-18 | 2022-06-24 | 天津师范大学 | Spectral depth imaging device and method based on image surface segmentation light field |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1098216A2 (en) * | 1999-11-04 | 2001-05-09 | Noritsu Koki Co., Ltd. | Line exposure type image forming apparatus |
| JP2006039190A (en) * | 2004-07-27 | 2006-02-09 | Ricoh Printing Systems Ltd | Optical recording apparatus |
| JP2006337719A (en) * | 2005-06-02 | 2006-12-14 | Konica Minolta Medical & Graphic Inc | Image recording device |
-
2012
- 2012-07-16 CN CN201210244350.3A patent/CN102821236B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1098216A2 (en) * | 1999-11-04 | 2001-05-09 | Noritsu Koki Co., Ltd. | Line exposure type image forming apparatus |
| JP2006039190A (en) * | 2004-07-27 | 2006-02-09 | Ricoh Printing Systems Ltd | Optical recording apparatus |
| JP2006337719A (en) * | 2005-06-02 | 2006-12-14 | Konica Minolta Medical & Graphic Inc | Image recording device |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103237204A (en) * | 2013-03-21 | 2013-08-07 | 上海交通大学 | Video signal collection and reconfiguration system based on high-dimension compressed sensing |
| CN103237204B (en) * | 2013-03-21 | 2016-03-02 | 上海交通大学 | Based on video signal collective and the reconfiguration system of higher-dimension compressed sensing |
| CN104155658A (en) * | 2014-08-15 | 2014-11-19 | 中国科学院上海技术物理研究所 | Image reconstruction method of laser radar imaging system based on compressed sensing |
| CN105120141A (en) * | 2015-07-15 | 2015-12-02 | 北京理工大学 | Compressed sensing photoelectronic imaging method and device |
| CN105120141B (en) * | 2015-07-15 | 2018-02-16 | 北京理工大学 | A kind of compressed sensing photoelectronic imaging method and device |
| CN109194959A (en) * | 2018-09-28 | 2019-01-11 | 中国科学院长春光学精密机械与物理研究所 | A kind of compressed sensing imaging method, device, equipment, system and storage medium |
| CN109194959B (en) * | 2018-09-28 | 2021-02-09 | 中国科学院长春光学精密机械与物理研究所 | Compressed sensing imaging method, device, equipment, system and storage medium |
| CN114659635A (en) * | 2022-05-18 | 2022-06-24 | 天津师范大学 | Spectral depth imaging device and method based on image surface segmentation light field |
| CN114659635B (en) * | 2022-05-18 | 2022-08-12 | 天津师范大学 | Spectral depth imaging device and method based on image surface segmentation light field |
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| CN102821236B (en) | 2015-01-21 |
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Effective date of registration: 20160615 Address after: 300384 Tianjin Huayuan Industrial Zone Xinmao science and Technology Park AB block three layer E room unit 8300 Patentee after: TIANJIN JIANYI TECHNOLOGY CO., LTD. Address before: 300387 Tianjin city Xiqing District West Binshui Road No. 393, Tianjin Normal University College of physics and electronic information Patentee before: Tianjin Normal University |
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