CN105072359B - Cmos image sensor imaging system based on compressed sensing and method - Google Patents
Cmos image sensor imaging system based on compressed sensing and method Download PDFInfo
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Abstract
The present invention provides a kind of cmos image sensor imaging system and method based on compressed sensing, and the imaging system includes：Pel array, for the optical signal of acquisition to be converted to electric signal；Time-sequence control module, the exposure time series for controlling the pel array；Linear feedback shift register, the pseudo-random number sequence for generating each pixel corresponding to pel array, and determine which pixel needs is averaged based on the pseudo-random number sequence；Sigma delta analog-digital converters, the pixel for being averaged successively to needs sample, the pixel after sampling are averaging and are quantified.The multiple that image taking speed of the present invention is promoted is related with selected compression ratio, controls compression ratio by the number continuously read, selected compression ratio is higher, and image taking speed is just higher, and therefore, the present invention may be implemented image taking speed and be promoted at double.The configuration of the present invention is simple can greatly improve image taking speed, be with a wide range of applications in image sensing area.
Description
Technical field
The present invention relates to a kind of cmos image sensor imaging system and methods, and compressed sensing is based on more particularly to one kind
Cmos image sensor imaging system and method.
Background technology
High-speed video is as a kind of significant observation means in the fields such as scientific research, engineering, military affairs and amusement many
High-speed motion occasion has been able to extensive use.In scientific research, it would be desirable to the high speeds physical phenomenon such as research explosion and collision；
In military affairs, real-time tracking high-speed target is needed；In daily entertainment, need to capture excellent sport moment.In addition following artificial
Smart field, eyes of the high speed imaging sensor as machine, importance are self-evident.
As the core devices of high speed imaging system, the quality of imaging sensor quality, which directly decides, is ultimately imaged effect
Fruit.Imaging sensor includes mainly two kinds of allusion quotations of charge coupling device (CCD) and complementary metal oxide semiconductor (CMOS) at present
Type structure.Compared with CCD, cmos image sensor (CIS) is then that light intensity is converted into electric current or voltage swing, without
It is that optical signal is characterized using the number of the quantity of electric charge.By fast development for many years, the performance of CIS can obtain significantly
It is promoted, image quality can almost contend with CCD, can catch up from behind at last.CIS has many advantages, has at low cost, power consumption
It is low, simple in structure and the advantages that be easily integrated.CIS can in time be read after having acquired signal, and therewith
Relevant circuit structure can be directly integrated in inside, this makes it be substantially better than CCD in speed.
However, high speed CIS is also faced with stern challenge, although optical signal is converted to electric signal, this process is very fast
Speed, but circuit operating rate restricts the overall work speed of system.Especially in the case of high speed imaging, CIS chips need
To store mass data in very short time so that storage speed and space are current conventional circuit structures need to be broken through one
A the most key technical bottleneck.
Traditional CIS can not break through the main reason for above-mentioned technical bottleneck and be that the sample rate of its signal is built upon Nai Kui
On this special Sampling Theorem.Nyquist sampling law thinks that signal can when sample frequency is more than twice of signal frequency
To be always completely recovered.Therefore, higher, the required sample frequency of the resolution ratio of image is bigger or signal itself reaches frequency
It is up to the limit.Compressed sensing technology can then break through this limit.According to compressive sensing theory, when signal is in a certain substrate
When being sparse (nonzero coefficient is much smaller than signal sum), required sample number can greatly reduce, and be much smaller than Nyquist sample
Number.
Therefore, the CIS imaging systems and its imaging side that the purpose of the present invention is to provide a kind of based on compressed sensing technology
Method, to overcome the technical bottleneck present in conventional high rate CIS.
Invention content
In view of the foregoing deficiencies of prior art, the purpose of the present invention is to provide a kind of CMOS based on compressed sensing
Imaging sensor imaging system and method are broken through and are passed with the technical bottleneck for overcoming conventional high rate cmos image sensor to be faced
The limitation of system nyquist sampling law, to realize that image taking speed is promoted at double.
In order to achieve the above objects and other related objects, the present invention provides a kind of cmos image sensing based on compressed sensing
Device imaging system, including：Pel array, for the optical signal of acquisition to be converted to electric signal；Time-sequence control module, for controlling
The exposure time series of the pel array；Linear feedback shift register, for generating each pixel corresponding to pel array
The pseudo-random number sequence of point, and determine which pixel needs is averaged based on the pseudo-random number sequence；And Sigma-
Delta analog-digital converters, the pixel for being averaged successively to needs are sampled, are asked the pixel after sampling
Mean deviation is quantified, and observed result is obtained.
A kind of preferred embodiment of the cmos image sensor imaging system based on compressed sensing as the present invention, the picture
Pixel array includes multiple sub-blocks of pixels, and each sub-blocks of pixels includes multiple pixels, wherein each sub-blocks of pixels distribution
There are one independent linear feedback shift register and Sigma-delta analog-digital converters.
A kind of preferred embodiment of the cmos image sensor imaging system based on compressed sensing as the present invention, the puppet
Random number sequence is made of " 1 " and " 0 ", wherein " 1 " corresponding pixel indicates that the pixel is needed by Sigma-delta moulds
Number converter is averaging, and " 0 " corresponding pixel indicates that the pixel is not involved in averaging.
A kind of preferred embodiment of the cmos image sensor imaging system based on compressed sensing as the present invention, when described
Sequence control module is additionally operable to be updated the pseudo-random number sequence in linear feedback shift register after each observation.
Further, the time-sequence control module is additionally operable to determine the observation frequency of required progress in a frame image.
A kind of preferred embodiment of the cmos image sensor imaging system based on compressed sensing as the present invention, it is described
Cmos image sensor imaging system controls the compression ratio of image by controlling the observation frequency needed for a frame image, passes through figure
The image taking speed of the compression ratio control image of picture.
A kind of preferred embodiment of the cmos image sensor imaging system based on compressed sensing as the present invention, it is described
Cmos image sensor imaging system further includes：
Compressed sensing matrix operation module is compressed for carrying out discrete cosine transform based on pseudo-random sequence matrix
Perceive matrix；
Discrete cosine transform coefficient computing module carries out minimizing a model for being based on observed result and compressed sensing matrix
Number operation obtains the corresponding discrete cosine transform coefficient of original image；
Inverse discrete cosine transformation computing module, for being carried out to the observed result based on the discrete cosine transform coefficient
Inverse discrete cosine transformation obtains original image.
The present invention also provides a kind of cmos image sensor imaging method based on compressed sensing, including step：Step 1),
Optical signal is acquired based on pel array and is converted to electric signal；Step 2) is corresponded to based on linear feedback shift register generation
The pseudo-random number sequence of each pixel of pel array, and which pixel needs is determined based on the pseudo-random number sequence
It is averaged；Step 3), the pixel being averaged successively to needs based on Sigma-delta analog-digital converters is sampled, right
Pixel after sampling is averaging and is quantified, and observed result is obtained；Step 4) is carried out based on pseudo-random sequence matrix
Discrete cosine transform obtains compressed sensing matrix；Step 5) carries out minimizing a model based on observed result and compressed sensing matrix
Number operation obtains the corresponding discrete cosine transform coefficient of original image；And step 6), it is based on the discrete cosine transform coefficient pair
The observed result carries out inverse discrete cosine transformation and obtains original image.
A kind of preferred embodiment of the cmos image sensor imaging method based on compressed sensing as the present invention, the picture
Pixel array includes multiple sub-blocks of pixels, and each sub-blocks of pixels includes multiple pixels, wherein each sub-blocks of pixels distribution
There are one independent linear feedback shift register and Sigma-delta analog-digital converters.
A kind of preferred embodiment of the cmos image sensor imaging method based on compressed sensing as the present invention, the puppet
Random number sequence is made of " 1 " and " 0 ", wherein " 1 " corresponding pixel indicates that the pixel is needed by Sigma-delta moulds
Number converter is averaging, and " 0 " corresponding pixel indicates that the pixel is not involved in averaging.
A kind of preferred embodiment of the cmos image sensor imaging method based on compressed sensing as the present invention, passes through control
The observation frequency needed for a frame image is made to control the compression ratio of image, the imaging speed of image is controlled by the compression ratio of image
Degree.
As described above, the complete denomination of invention of the present invention, has the advantages that：The present invention proposes a kind of compression
Cmos image sensor imaging system and imaging method are perceived, the multiple that image taking speed is promoted is related with selected compression ratio, leads to
The number that continuously reads is crossed to control compression ratio, selected compression ratio is higher, and image taking speed is just higher, and therefore, the present invention can
To realize that cmos image sensor image taking speed is promoted at double.In addition, the present invention, which is that each sub-blocks of pixels is non-, matches an independence
Linear feedback shift register and Sigma-delta analog-digital converters, the reading between modules is parallel, to big
Improve reading speed greatly；The readout of the present invention uses pipelined fabric, can save pseudo-random sequence and generate institute
It takes time.The configuration of the present invention is simple can greatly improve image taking speed, be with a wide range of applications in image sensing area.
Description of the drawings
Fig. 1 is shown as the general frame signal of the cmos image sensor imaging system based on compressed sensing of the present invention
Figure.
Fig. 2 is shown as the frame of a submodule in the cmos image sensor imaging system based on compressed sensing of the present invention
Frame schematic diagram comprising time-sequence control module, a sub-blocks of pixels, one linear feedback shift register and one
Sigma-delta analog-digital converters.
Fig. 3 is shown as the flow diagram of the cmos image sensor imaging method based on compressed sensing of the present invention.
Fig. 4 is shown as the observation flow signal of the cmos image sensor imaging method based on compressed sensing of the present invention
Figure.
Component label instructions
11 pel arrays
111 sub-blocks of pixels
12 time-sequence control modules
13 linear feedback shift register groups
131 linear feedback shift registers
14 Sigma-delta analog-digital converter groups
141 Sigma-delta analog-digital converters
S11~S16 steps 1)~step 6)
Specific implementation mode
Illustrate that embodiments of the present invention, those skilled in the art can be by this specification below by way of specific specific example
Disclosed content understands other advantages and effect of the present invention easily.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also be based on different viewpoints with application, without departing from
Various modifications or alterations are carried out under the spirit of the present invention.
Please refer to Fig.1~Fig. 4.It should be noted that the diagram provided in the present embodiment only illustrates this in a schematic way
The basic conception of invention, package count when only display is with related component in the present invention rather than according to actual implementation in illustrating then
Mesh, shape and size are drawn, when actual implementation kenel, quantity and the ratio of each component can be a kind of random change, and its
Assembly layout kenel may also be increasingly complex.
As shown in Fig. 1~Fig. 2, wherein Fig. 1 is shown as the whole frame of the cmos image sensor imaging system of the present embodiment
Frame schematic diagram, Fig. 2 is shown as a submodule in the present embodiment cmos image sensor imaging system, and (it includes timing control mould
The linear feedback shift register 131 and a Sigma-delta analog-digital converter of the sub-blocks of pixels 111, one of block 12, one
141) block schematic illustration.
As shown in Figure 1, the present embodiment provides a kind of cmos image sensor imaging system based on compressed sensing, including：
Pel array 11, for the optical signal of acquisition to be converted to electric signal.Wherein, the pel array 11 includes multiple
Sub-blocks of pixels 111, each sub-blocks of pixels 111 include multiple pixels.
Time-sequence control module 12, the exposure time series for controlling the pel array 11.
In addition, in the present embodiment, the time-sequence control module 12 is additionally operable to after each observation to linear feedback shift
Pseudo-random number sequence in register 131 is updated, meanwhile, the time-sequence control module 12 is additionally operable to determine in a frame image
The observation frequency of required progress.
In the present embodiment, the cmos image sensor imaging system is by controlling the observation frequency needed for a frame image
Control the compression ratio of image, the compression ratio for passing through image controls the image taking speed of image.
Linear feedback shift register group 13, the pseudorandom for generating each pixel corresponding to pel array 11
Number Sequence, and determine which pixel needs is averaged based on the pseudo-random number sequence.
In the present embodiment, the linear feedback shift register group 13 includes multiple linear feedback shift registers 131,
And each sub-blocks of pixels 111 is correspondingly arranged that there are one linear feedback shift registers 131, as shown in Figure 2.
As an example, the pseudo-random number sequence is made of " 1 " and " 0 ", wherein " 1 " corresponding pixel indicates the picture
Vegetarian refreshments needs are averaging by Sigma-delta analog-digital converters 141, and " 0 " corresponding pixel indicates that the pixel is not joined
With averaging.
Sigma-delta analog-digital converters group 14, the pixel for being averaged successively to needs samples, to adopting
Pixel after sample is averaging and is quantified, and observed result is obtained.
In the present embodiment, the Sigma-delta analog-digital converters group 14 includes multiple Sigma-delta analog-to-digital conversions
Device 141, and each sub-blocks of pixels 111 is correspondingly arranged that there are one Sigma-delta analog-digital converters 141, as shown in Figure 2.
In this implementation example, the cmos image sensor imaging system further includes：
Compressed sensing matrix operation module is compressed for carrying out discrete cosine transform based on pseudo-random sequence matrix
Perceive matrix；
Discrete cosine transform coefficient computing module carries out minimizing a model for being based on observed result and compressed sensing matrix
Number operation obtains the corresponding discrete cosine transform coefficient of original image；
Inverse discrete cosine transformation computing module, for being carried out to the observed result based on the discrete cosine transform coefficient
Inverse discrete cosine transformation obtains original image.
As shown in Fig. 3~Fig. 4, the present embodiment also provides a kind of cmos image sensor imaging side based on compressed sensing
Method, this method include mainly that acquisition observed result and image restore two processes.
The observed result of the present embodiment acquisition is not actual image, but the figure after pseudo-random sequence converts
Picture.Briefly, the compression image of acquisition is the product of pseudo-random number sequence matrix Φ and original image.This is a linear change
The process changed.If random sequence is made of " 0 " and " 1 ", corresponding conversion process is then that " 1 " corresponding pixel is asked
With then the summation that pixel acquires is averaging.
After completing acquisition, system will enter image Restoration stage, i.e., reconstruct real image from observed result.Due to figure
As having sparse characteristic on dct basis Ψ, compressed sensing matrix can be obtained in conjunction with pseudo-random number sequence matrix Φ
ACS.According to compressive sensing theory, observed result and compressed sensing matrix A are being obtainedCSLater, the corresponding discrete cosine of original image
Transformation coefficient can be obtained by minimizing a norm.Finally, real image can be obtained by inverse discrete cosine transformation.
As shown in figure 3, specifically, the cmos image sensor imaging method based on compressed sensing of the present embodiment includes step
Suddenly：
Step 1) S11 acquires optical signal based on pel array 11 and is converted to electric signal.
In the present embodiment, the pel array 11 includes multiple sub-blocks of pixels 111, and each sub-blocks of pixels 111 is wrapped
Include multiple pixels, wherein there are one 131 Hes of independent linear feedback shift register for each distribution of sub-blocks of pixels 111
Sigma-delta analog-digital converters 141.For example, entire pel array 11 can be divided into multiple 16 × 16 pixel submodules
Block 111.Assuming that the number of sub-blocks of pixels 111 is M × N, then the size of entire pel array 11 is 16M × 16N.Make each picture
Sub-prime module 111 is distributed there are one independent linear feedback shift register 131 and Sigma-delta analog-digital converters 141, this
The purpose that sample is done is to make system can be with concurrent working, to improve processing speed.
Step 2) S12 generates each pixel corresponding to pel array 11 based on linear feedback shift register 131
Pseudo-random number sequence, and determine which pixel needs are averaged based on the pseudo-random number sequence.
In the present embodiment, the pseudo-random number sequence is made of " 1 " and " 0 ", wherein " 1 " corresponding pixel indicates
Pixel needs are averaging by Sigma-delta analog-digital converters 141, and " 0 " corresponding pixel indicates the pixel
It is not involved in averaging.
Step 3) S13, the pixel being averaged successively to needs based on Sigma-delta analog-digital converters 141 are adopted
Sample is averaging and is quantified to the pixel after sampling, and observed result is obtained；
In the present embodiment, the compression ratio of image can be controlled by controlling the observation frequency needed for a frame image, led to
Cross the image taking speed of the compression ratio control image of image.
Step 4) S14 carries out discrete cosine transform based on pseudo-random sequence matrix, obtains compressed sensing matrix；
Step 5) S15 is carried out minimizing a norm operation based on observed result and compressed sensing matrix, obtains original image pair
The discrete cosine transform coefficient answered；
Step 6) S16 carries out inverse discrete cosine transformation to the observed result based on the discrete cosine transform coefficient and obtains
To original image.
As shown in Fig. 3~Fig. 4, its course of work will be explained by taking single submodule as an example below.
Observed result gatherer process includes mainly three phases：Initial phase, reseting stage and reading stage.For every
A submodule (includes the linear feedback shift register 131 and one of the sub-blocks of pixels 111, one of time-sequence control module 12, one
A Sigma-delta analog-digital converters 141), first one is generated by linear feedback shift register 131LFSR in initial phase
256 pseudo random numbers that group is made of " 1 " and " 0 ", correspond respectively to each pixel.Wherein " 1 " corresponding pixel indicates
Pixel summation will be participated in this time observation process, " 0 " then indicates that the pixel is not involved in summation.Pseudo-random sequence has generated it
Afterwards, pixel corresponding with " 1 " will reset in module, prepare for the reading stage.
The reading stage is mainly completed by Sigma-delta analog-digital converters 141 (Sigma-delta ADC).
Sigma-delta analog-digital converters 141 were built upon using on basis.The meeting pair of Sigma-delta analog-digital converters 141
Input carries out quick sampling, and output then can be regarded as an average embodiment of input sample.From this starting point, Sigma-
Delta analog-digital converters 141 successively sample " 1 " pixel, and output result is exactly being averaged for these sampled point pixel values
Value.Simultaneously as random number sequence is pseudorandom, thus the number of " 1 " is known.It can thus be found out by average value
The sum of these pixel values.In addition to this, another effect of Sigma-delta analog-digital converters 141 be to output result into
Row quantization.
After the above process, each submodule will obtain an observation, have 16 × 16 for picture element matrix
For the case where number of sub-blocks of pixels 111 is M × N, M × N number of observation will be obtained.After having carried out primary reading,
Linear feedback shift register 131LFSR is updated, the second group observations are obtained according to above step.And so on, carry out K sight
It after survey, has K × M × N number of result and generates, be equivalent to the Pixel Information for obtaining K × M × N number of pixel, to form one
Frame image.By using the working method of pipeline system between K observed result, i.e. initialization and reseting stage is handed over the stage of reading
Mistake carries out, as shown in Figure 4.The purpose for the arrangement is that the required time of deinitialization and reseting stage is saved, to be further reduced
Obtain the time of a frame image.
In contrast, traditional cmos image sensor has picture element matrix the number of 16 × 16 sub-blocks of pixels 111
For the case where mesh is M × N, acquired in Pixel Information be 16M × 16N, that is, need to obtain the Pixel Information each put.Cause
This, the present invention can determine compression ratio, i.e. K by reading times：(M×N).For example, one 256 × 256 pixel
Array 11 is segmented into 256 16 × 16 sub-blocks of pixels 111, if carrying out 128 read operations to each module,
Corresponding compression ratio is 1:2.That is follow-up storage and the data volume of transmission will reduce by one times, thus correspondingly frame speed
It doubles, realizes high speed imaging this purpose.
As described above, the present invention provides a kind of cmos image sensor imaging system and method based on compressed sensing, institute
Stating imaging system includes：Pel array 11, for the optical signal of acquisition to be converted to electric signal；Time-sequence control module 12, is used for
Control the exposure time series of the pel array 11；Linear feedback shift register 131, for generating corresponding to pel array 11
The pseudo-random number sequence of each pixel, and determine which pixel needs is averaged based on the pseudo-random number sequence；
And Sigma-delta analog-digital converters 141, the pixel for being averaged successively to needs samples, after sampling
Pixel be averaging and quantified, obtain observed result.The present invention proposes a kind of compressed sensing cmos image biography
Sensor imaging system and imaging method, the multiple that image taking speed is promoted is related with selected compression ratio, passes through time continuously read
It counts to control compression ratio, selected compression ratio is higher, and image taking speed is just higher, and therefore, cmos image may be implemented in the present invention
Sensor image taking speed is promoted at double.In addition, the present invention, which is that each sub-blocks of pixels 111 is non-, matches an independent linear feedback shifting
Bit register 131 and Sigma-delta analog-digital converters 141, the reading between modules is parallel, to greatly improve
Reading speed；The readout of the present invention uses pipelined fabric, can save pseudo-random sequence and generate required time.
The configuration of the present invention is simple can greatly improve image taking speed, be with a wide range of applications in image sensing area.So this
Invention effectively overcomes various shortcoming in the prior art and has high industrial utilization.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology can all carry out modifications and changes to above-described embodiment without violating the spirit and scope of the present invention.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should by the present invention claim be covered.
Claims (11)
1. a kind of cmos image sensor imaging system based on compressed sensing, which is characterized in that including：
Pel array, for the optical signal of acquisition to be converted to electric signal；
Time-sequence control module, the exposure time series for controlling the pel array；
Linear feedback shift register, the pseudo-random number sequence for generating each pixel corresponding to pel array, and
Determine which pixel needs is averaged based on the pseudo-random number sequence；
Sigma-delta analog-digital converters, the pixel for being averaged successively to needs samples, to the picture after sampling
Vegetarian refreshments is averaging and is quantified, and observed result is obtained, wherein
The time-sequence control module is additionally operable to after each observation to the pseudorandom in the linear feedback shift register
Number Sequence is updated.
2. the cmos image sensor imaging system according to claim 1 based on compressed sensing, it is characterised in that：It is described
Pel array includes multiple sub-blocks of pixels, and each sub-blocks of pixels includes multiple pixels, wherein each sub-blocks of pixels point
With there are one independent linear feedback shift registers and Sigma-delta analog-digital converters.
3. the cmos image sensor imaging system according to claim 1 based on compressed sensing, it is characterised in that：It is described
Pseudo-random number sequence is made of " 1 " and " 0 ", wherein " 1 " corresponding pixel indicates that the pixel is needed by Sigma-delta
Analog-digital converter is averaging, and " 0 " corresponding pixel indicates that the pixel is not involved in averaging.
4. the cmos image sensor imaging system according to claim 1 based on compressed sensing, it is characterised in that：It is described
Time-sequence control module is additionally operable to determine the observation frequency of required progress in a frame image.
5. the cmos image sensor imaging system according to claim 1 based on compressed sensing, it is characterised in that：It is described
Cmos image sensor imaging system controls the compression ratio of image by controlling the observation frequency needed for a frame image, passes through figure
The image taking speed of the compression ratio control image of picture.
6. the cmos image sensor imaging system according to claim 1 based on compressed sensing, it is characterised in that：It is described
Cmos image sensor imaging system further includes：
Compressed sensing matrix operation module obtains compressed sensing for carrying out discrete cosine transform based on pseudo-random sequence matrix
Matrix；
Discrete cosine transform coefficient computing module carries out minimizing norm fortune for being based on observed result and compressed sensing matrix
It calculates, obtains the corresponding discrete cosine transform coefficient of original image；
Inverse discrete cosine transformation computing module, for based on the discrete cosine transform coefficient to the observed result carry out instead from
Scattered cosine transform obtains original image.
7. a kind of cmos image sensor imaging method based on compressed sensing, which is characterized in that including step：
Step 1) acquires optical signal based on pel array and is converted to electric signal；
Step 2) generates the pseudorandom number sequence of each pixel corresponding to pel array based on linear feedback shift register
Row, and determine which pixel needs is averaged based on the pseudo-random number sequence；
Step 3), the pixel being averaged successively to needs based on Sigma-delta analog-digital converters is sampled, after sampling
Pixel be averaging and quantified, obtain observed result, be based on time-sequence control module, to described linear after observation
The pseudo-random number sequence in feedback shift register is updated.
8. the cmos image sensor imaging method according to claim 7 based on compressed sensing, it is characterised in that：It is described
Pel array includes multiple sub-blocks of pixels, and each sub-blocks of pixels includes multiple pixels, wherein each sub-blocks of pixels point
With there are one independent linear feedback shift registers and Sigma-delta analog-digital converters.
9. the cmos image sensor imaging method according to claim 7 based on compressed sensing, it is characterised in that：It is described
Pseudo-random number sequence is made of " 1 " and " 0 ", wherein " 1 " corresponding pixel indicates that the pixel is needed by Sigma-delta
Analog-digital converter is averaging, and " 0 " corresponding pixel indicates that the pixel is not involved in averaging.
10. the cmos image sensor imaging method according to claim 7 based on compressed sensing, it is characterised in that：It is logical
The observation frequency needed for one frame image of control is crossed to control the compression ratio of image, the imaging of image is controlled by the compression ratio of image
Speed.
11. the cmos image sensor imaging method according to claim 7 based on compressed sensing, it is characterised in that：Institute
It further includes step to state cmos image sensor imaging method：
Step 4) carries out discrete cosine transform based on pseudo-random sequence matrix, obtains compressed sensing matrix；
Step 5), based on observed result and compressed sensing matrix carry out minimize a norm operation, obtain original image it is corresponding from
Dissipate cosine transform coefficient；
Step 6) carries out inverse discrete cosine transformation to the observed result based on the discrete cosine transform coefficient and obtains artwork
Picture.
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| CN106851076B (en) * | 2017-04-01 | 2019-10-22 | 重庆大学 | Compressed sensing video image acquisition circuit based on address decoding |
| CN109938696A (en) * | 2019-03-22 | 2019-06-28 | 江南大学 | Electroneurographic signal compressed sensing processing method and circuit |
| CN111077430A (en) * | 2019-12-16 | 2020-04-28 | 上海集成电路研发中心有限公司 | Device and method for detecting CIS chip based on ATE |
| CN113824903B (en) * | 2021-08-11 | 2022-12-02 | 西安电子科技大学 | Image data transmission system based on compressed sensing technology |
| CN113938626B (en) * | 2021-09-30 | 2023-03-24 | 中国科学院长春光学精密机械与物理研究所 | TDI-CMOS detector and compressed sensing imaging method applying same |
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