CN110022420A - A kind of image scanning system based on CIS, method and storage medium - Google Patents
A kind of image scanning system based on CIS, method and storage medium Download PDFInfo
- Publication number
- CN110022420A CN110022420A CN201910186466.8A CN201910186466A CN110022420A CN 110022420 A CN110022420 A CN 110022420A CN 201910186466 A CN201910186466 A CN 201910186466A CN 110022420 A CN110022420 A CN 110022420A
- Authority
- CN
- China
- Prior art keywords
- image
- cis
- data
- module
- unit
- 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
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/00885—Power supply means, e.g. arrangements for the control of power supply to the apparatus or components thereof
- H04N1/00888—Control thereof
- H04N1/00896—Control thereof using a low-power mode, e.g. standby
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/024—Details of scanning heads ; Means for illuminating the original
- H04N1/028—Details of scanning heads ; Means for illuminating the original for picture information pick-up
- H04N1/03—Details of scanning heads ; Means for illuminating the original for picture information pick-up with photodetectors arranged in a substantially linear array
- H04N1/031—Details of scanning heads ; Means for illuminating the original for picture information pick-up with photodetectors arranged in a substantially linear array the photodetectors having a one-to-one and optically positive correspondence with the scanned picture elements, e.g. linear contact sensors
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/04—Scanning arrangements, i.e. arrangements for the displacement of active reading or reproducing elements relative to the original or reproducing medium, or vice versa
- H04N1/10—Scanning arrangements, i.e. arrangements for the displacement of active reading or reproducing elements relative to the original or reproducing medium, or vice versa using flat picture-bearing surfaces
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
- Facsimile Image Signal Circuits (AREA)
Abstract
The invention discloses a kind of image scanning system based on CIS, method and storage mediums, system includes CIS interface module, image pre-processing module and post processing of image module, CIS interface module includes CIS driving circuit and CIS analog data transmissions interface, image pre-processing module includes FPGA unit, AD conversion unit and storage unit, and post processing of image module includes microprocessor unit and communication interface.Method includes standby mode, closes the work clock of peripheral hardware；Scan pattern establishes color space mapping table and image quality data library, treats scan image and is pre-processed, and is post-processed to obtain the image of preset format to pretreated image；Renewal model updates image quality data library.This method is using CIS as imaging sensor, and circuit structure is simple and compact, and system model is controllable, and image processing speed is fast, and scan image quality is high.
Description
Technical field
The invention belongs to graphics process field, more particularly, to a kind of image scanning system based on CIS, method and
Storage medium.
Background technique
Nowadays, various types of image scanning systems are widely used in financial machine and tool, industrial detection, daily life and self-service
The fields such as service.Traditional image scanning system belongs to plane formula scanner mostly, and imaging sensor used is charge-coupled device
The disadvantages of part (Charge-coupled Device, CCD), there are equipment volumes greatly, structure is complicated, high production cost.Modern
Image scanning system starts to be scanned using contact-type image sensor (Contact Image Sensor, CIS).CIS's
Light source, sensor, amplifier become one, and have the characteristics that compact-sized, small in size, light weight and cost is low.However, existing
Some image scanning systems still have some problems.
Firstly, no matter conventional images scanning system is used as independent scanner using which kind of imaging sensor and structure
Equipment access computer is carried out using can make troubles in the limited situation of user's available space.Secondly, conventional images scan
System mostly directly uploads to the original image for scanning contribution in subscriber computer, then carries out Mass adjust- ment, compression to image
The operation such as storage.The original image of scanning contribution usually has biggish data volume, and image is transferred to computer from scanning system
It needs to take a long time.In addition, operating on the user computer to image, this processing mode is to subscriber computer
Performance configuration there are certain requirements.Third, for the image scanning system using CIS, CIS and analog circuit are all deposited each other
In property difference, the image that different CIS, different analog circuits scan has different manifestations on overall brightness.In addition, due to
The light that the upper LED light source array of CIS issues is uneven, and each photosensitive unit is inconsistent to the perception degree of light, scans
To image superposition have the noise on vertical direction, all there is very big influence for the quality of scan image.4th, traditional figure
As scanning system does not control power consumption, big power consumption working condition is stilled remain in the standby state, is unsatisfactory for green ring
Factoring is read.5th, the resolution ratio of scan image, spectrum and the size selection that conventional images scanning system is supported are limited, and scan
There is the longer intermediate waiting time during different type and image in different resolution, it is difficult to meet the different demands of different user.
Summary of the invention
In view of the drawbacks of the prior art, the purpose of the present invention is to provide a kind of image scanning systems based on CIS, method
And storage medium, it is intended to solve the problems, such as that scan pattern is single, it is big to switch slow and operating power consumption.
To achieve the above object, it is an aspect of this invention to provide that the present invention provides a kind of image scanning system based on CIS
System, including CIS interface module, image pre-processing module and post processing of image module；
The input of CIS interface module is connected with CIS, the output and the input phase of image pre-processing module of CIS interface module
Even, the output of image pre-processing module is connected with the input of post processing of image module, the output of post processing of image module and the external world
Equipment is connected；
CIS interface module is used to drive CIS and transmits the CIS image scanned；
Image pre-processing module is used to adaptively adjust described image progress brightness, data permutation and single-point are linear
Correction；
Post processing of image module for the pretreated image is formatted and by treated image into
Row transmission.
Further, CIS interface module includes CIS driving circuit and CIS analog data transmissions interface；CIS driving circuit
For realizing the driving to CIS；CIS analog data transmissions interface is used for the analogue data that will be acquired in CIS scanning image process
It is transferred to image pre-processing module；
Image pre-processing module includes FPGA unit, and the AD conversion unit and storage connecting respectively with FPGA unit are single
Member；FPGA unit is used to control the normal work of CIS and AD conversion unit, acquires image data and is located in advance to image
Reason, by treated, image is sent to post processing of image module；AD conversion unit in CIS scanning image process for will acquire
Analogue data be converted into numerical data；Storage unit is for storing correction number used in FPGA unit image preprocessing process
According to；
Post processing of image module includes microprocessor unit and communication interface；Microprocessing unit is for handling in real time and transmitting
Image, the working condition of control system entirety；Communication interface transmits image data for interacting with communicating with external device.
For this system using CIS as imaging sensor, circuit structure is simple and compact, while microprocessor supports USB, ether
The multiple transport protocols such as net, SPI, I2C.This system can be used as independent image scanning system access computer, also embeddable to arrive
Computer is accessed as Intergration system in remaining equipment.
It is another aspect of this invention to provide that the present invention provides a kind of image scan methods based on above system, comprising:
If being in standby mode, the work clock of peripheral hardware is closed, operating power is reduced, reaches energy-saving and environment-friendly purpose；
If being in scan pattern, user carries out active switching according to different scanning type and image in different resolution, establishes color
Space reflection table and image quality data library are treated scan image using color space mapping table and image quality data library and are carried out
Pretreatment, post-processes pretreated image to obtain the image of preset format；
If being in renewal model, image quality data library is updated.
Preferably, it in order to make system reach better scanning effect in formal use, is at least completed once using preceding
Establish color space mapping table and image quality data library, comprising:
Brightness of image adaptively adjusts；
Data permutation；
Single-point linearity correction；
Obtain luminance component table and space conversion lookup table.
Further, brightness of image is adaptively adjusted for adjusting each channel overall brightness of image, eliminates the entirety of image
Brightness because hardware operational characteristic it is different caused by difference.Traditional brightness of image adjusting method is by being CIS light on circuit
It adds current-limiting resistance and realizes in source.In the case where supply voltage is certain, change current-limiting resistance value to change through CIS light source
Electric current and CIS luminous intensity achieve the purpose that adjustment image overall brightness, and there are following three defects for the above method.Firstly,
The long-term work of CIS light source reduces the service life of CIS under non-voltage rating；Secondly, current-limiting resistance value and CIS luminous intensity
There are non-linear relation, CIS luminous intensity can not be calculated according to current-limiting resistance value, this make brightness of image adjusting need by
The process to make repeated attempts, the very complicated time-consuming of step；With the increase of use time, characteristic may change CIS, again
Adjustment brightness of image needs to readjust current-limiting resistance, this brings inconvenience to the production maintenance of image scanning system.System is logical
The analogue data that the parameter of the whole AD conversion unit of toning exports CIS is located at effective acquisition range of AD conversion unit
It is interior, achieve the purpose that acquire image effective information and coarse adjustment brightness of image；Each light source of CIS is automatically adjusted by proportional feedback control
Time for exposure to acquire each channel luminance equilibrium of image unanimously, reaches fine tuning brightness of image and eliminates between CIS sensor
The purpose of otherness.System acquires image referring to AD conversion unit parameter adjusted and CIS time for exposure, can be realized pair
The adjustment of brightness.Detailed process is as follows:
1.1.1. due to the image that acquisition is tow sides, so determining that mounted CIS illumination will not influence first
Each other, i.e., two CIS pipes are staggered installation of, the sensor and sensor face of two CIS pipes, light source and light source face；
1.1.2. (Programmable Gain Amplifier, can compile the offset and PGA of setting AD conversion unit
Journey gain amplifier), to guarantee the pixel of image in the range of linearly interval；
1.1.3. its maximum exposure time T supported is determined according to CIS specificationM, set time for exposure T1As controlling
Point, wherein T1≤ TM, maximum value P of each pixel in single Color Channel is determined according to storage mode of the image in systemM,
Image overall brightness after determining luminance standard according to application scenarios and user demand, with maximum of the pixel in single Color Channel
Column average value PLRepresentative image overall brightness, blank sheet of paper is fixed between CIS during luminance standard, it is ensured that acquisition image every time
Target is identical；
1.1.4. according to the time for exposure acquisition blank sheet of paper image set, setting acquisition m row n column image, with PijIndicate it
In the i-th row j column pixel value, according to the following formula calculate adpative exposure offset Δ T；
1.1.5. time for exposure T is adjusted according to the following formula
Tx+1=Tx+ΔT
Wherein x=1,2,3 ..., N, N are the number of iterations, if Δ T <=TM/PMIt sets up, then luminance standard is completed, when
Each pixel intensity of the image that prior exposure time sweep obtains is close to PL；Otherwise, previous step is repeated after updating the time for exposure, is made
With new adpative exposure offset to the time for exposure be iterated update calculate, if n times iterate to calculate, i.e. x >=N it
Luminance standard remains unfulfilled afterwards, then CIS or hardware circuit part existing defects, and leading to image overall brightness always cannot reach bright
The requirement for spending automatic standard exits the adjustment process and returns to the information that time-out exits to user；
1.1.6. if above-mentioned adpative exposure time set-up procedure successfully completes, the time for exposure adjusted is saved, it
System uses this time for exposure control CIS acquisition image in the operating mode afterwards.
Further, the linearity correction of image single-point is uneven in order to eliminate the light that LED light source array issues on CIS,
And each photosensitive unit is inconsistent to the perception degree of light, making an uproar on the image superposition bring vertical direction scanned
Sound.Specifically, being come first by control AD conversion unit parameter so that acquiring range of the pixel in linearly interval of image
Interior, when the average brightness x1 and pure white paper of each column image data when system acquisition is scanned without paper are scanned each column image data
Average brightness x2, by [x1, x2] linear transformation to [0,255].System each pixel intensity of acquired image under the spectrum
It defers to the linear transformation to be mapped, and the value after mapping is limited to the integer in [0,255], can be realized to image
Correction.Detailed process is as follows:
1.2.1., the operating mode of system is set, is scanned, is taken using the parameter Jing Guo the adaptive standard of brightness of image
Disappear the zero offset capability of FPGA.
1.2.2. the image when scanning of no paper, setting acquisition m are acquired1Row n column image, DijFor the i-th row jth column picture in image
Plain brightness, wherein i≤m1, j≤n.The normal brightness of no paper scan image is set to DS.Preferably, DSIt is set to pixel minimum,
The D under the image that 8 pixels indicateSTake 0.
1.2.3. the image when scanning of acquisition blank sheet of paper, setting acquisition m2Row n column image, BijFor the i-th row jth column picture in image
Plain brightness, wherein i≤m2, j≤n.The normal brightness of blank sheet of paper scan image is set to BS.Preferably, BSIt is set to pixel maximum,
The B under the image that 8 pixels indicateSTake 255.
1.2.4. the correction parameter k of each column is calculated according to the following formulajAnd bj, update and save correction parameter.
Wherein j=1,2,3 ..., n.
1.2.5. when formal scanning, the i-th row j column pixel of CIS acquisition image is corrected according to the following formula, it is original
Image pixel value is Pij, correspondence image pixel value is Y after correctionij。
Yij=kj(Pij-bj)
Further, image is operated on the user computer, performance of this processing mode to subscriber computer
Configured with certain requirement, and the present invention is to be adjusted in microprocessor unit to quality such as brightness of image, contrasts.We
Method improves color space conversion step, adjusts while image carries out color space conversion to its qualitative character
It is whole, additional computing cost will not be introduced under this application scenarios.Detailed process is as follows:
1.3.1. numerical value luminance component table adjusted is established, carries out brightness correction using gamma correction algorithms:
The wherein i=0 under 8 pixel spaces, 1,2 ..., 255, Yi=i；PMIt is pixel intensity component under YCbCr space
Maximum value；YiIt is image pixel intensity component before adjusting；Yi' it is image pixel intensity component after adjustment；γ is gamma correction ginseng
Number, can carry out selection adjustment according to actual needs.
1.3.2. Y is usedi' replace YiThe look-up table that RGB is converted to YCbCr space is established, can establish and look into as follows
Look for table:
YRi=Yi' × 0.299 × (1 < < n)+0.5
YGi=Yi' × 0.587 × (1 < < n)+0.5
YBi=Yi' × 0.114 × (1 < < n)+0.5
CbRi=Cbi× (- 0.169) × (1 < < n)+0.5
CbGi=Cbi× (- 0.331) × (1 < < n)+0.5
CbBi=Cbi× 0.500 × (1 < < n)+0.5
CrRi=Cri× 0.500 × (1 < < n)+0.5
CrGi=Cri× (- 0.419) × (1 < < n)+0.5
CrBi=Cri× (- 0.081) × (1 < < n)+0.5
The wherein i=0 under 8 pixel spaces, 1,2 ..., 255, Cbi=Cri=i, n are quantization parameters.
1.3.3. in the formal use process of image scanning system, it is each that image is carried out according to the above-mentioned look-up table with foundation
Pixel is transformed into the operation of YCbCr space from rgb space, in the case where pixel R, G, B component are followed successively by r, g, b, according to
Under type calculates corresponding Y, Cb, Cr component:
Y=(YRr+YGg+YBb) > > n
Cb=(CbRr+CbGg+CbBb) > > n
Cr=(CrRr+CrGg+CrBb) > > n
Preferably, pretreatment include brightness adaptively adjust, data permutation and single-point linearity correction, this pretreatment
Method refers to during FPGA acquires image, by the characteristic of FPGA parallel processing and high-speed computation, in Image Acquisition and biography
Image data is rearranged, is corrected during defeated.Data permutation be in FPGA to the output data of CIS into
Row rearranges integration, so that it appears to the neat image data of a width for microprocessor, to avoid microprocessor
It needs to be traversed for entire image to be adjusted it, and devotes a tremendous amount of time.Nowadays majority CIS pipe is its working efficiency of raising
Multistage concurrent working is mostly used, for the CIS of N sections of concurrent workings, when its work is under a certain mode, it is assumed that it is adopted
The image a line valid data number integrated is M, then each section of valid data number is M/N, after ADC is sampled, one
Row image data is mixing output are as follows:
Wherein aijIndicate i-th of valid data of jth section CIS, above-mentioned blended data is to need to reset in FPGA
Whole data first split above-mentioned data to carry out recanalization in FPGA, that is, are split as following N segment data:
…
If the frequency for inputting blended data is α, then the data t after resulting fractionation1、t2、t3…tNFrequency be α/N.
Next with the frequency of α by data t1、t2、t3…tNBe alternately written into a piece of caching (can be the ram inside FPGA, can also be with
For external memory) different address in, then reading out the permutatation for completing image in a sequential manner,
Here in order to guarantee the integrality of image, the technology cached using Ping-Pong, the i.e. image data in caching current line are needed
When, export the image data of lastrow.
Preferably, image rectification pretreatment is to carry out single-point linearity correction to image in FPGA, that is, is passed through:
Yij=kj(Pij-bj)
Each point in gained image is compensated.Above-mentioned operation is carried out in FPGA, and it is only necessary to a clock cycle
It can be completed, faster, can satisfy the requirement of real-time of whole system compared to speed for the calculating in micro process.But due to
Floating point arithmetic is not supported in FPGA, so needing to Yij=kj(Pij-bj) deformed.Here the method taken is to former formula
First amplified the method reduced again, and essence when calculating in FPGA is guaranteed by control amplification and the multiple reduced
Degree.Specifically, for former formula, expanded α times first, then as follows:
αYij=α kj(Pij-bj)
In view of voluntarily calculating correction coefficient k to FPGAjAnd bj, then one piece of internal resource will be needed very big
Fpga chip, such that the cost increase of whole system, so in the present system, microprocessor calculates correction system first
Number stores, and then forwards it to FPGA by communication interface, and FPGA is stored in advance in internal or external memory, when
It is read out when calculating.Due to calculated correction coefficient kjIt is necessarily floating number, in order to allow to rationally be transmitted to
FPGA, and complete to calculate, we are by kjBeing converted to integer adds the form of precision to handle, i.e. kjBe converted to Kj/ β, wherein β be
Selected precision, then above formula deforms are as follows:
αYij=α (Kj/β)(Pij-bj)
Selection for precision β depends on our set parameter kjRange and image practically necessary amplification
What maximum multiple determined.
Specifically, first by parameter kjRange be set as 0 to ω1, then according to calculated correction parameter kj, obtain
The maximum multiple k for needing to amplifymax, in order to enable the multiple of amplification can satisfy the requirement of maximum multiple, then having:
kmax≤ω1/β
So corresponding parameter beta should meet:
β≤ω1/kmax
In order to enable calculating is more accurate, then higher precision should be reelected, and in view of FPGA does not support floating point arithmetic, β
It should be rounded, so corresponding parameter beta is answered are as follows:
Corresponding correction calculating formula is substituted into, then is obtained:
In order to further increase the calibration result of image, we further increase the precision of calculating, correct from gained is calculated
Coefficient kjLower limit consider, from the correction coefficient k being calculatedjIn obtain required for amplify minimum multiple kmin, will be minimum
Multiple extracts processing, then α Yij=α (Kj/β)(Pij-bj) can be equivalent to:
χ in above formulajWith KjRange setting is identical, is taken as 0 to ω1, it is same in order to enable the multiple of amplification can satisfy most
The requirement of big multiple, then having:
kmax≤ω1/β+kmin
So corresponding parameter beta meets:
β≤ω1/(kmax-kmin)
So further corresponding precision can be promoted are as follows:
Substituted into correction calculating formula, it can obtain final calculating formula are as follows:
After calculating corresponding result by above formula in FPGA accordingly, need obtained result reducing α times, i.e., are as follows:
Under normal circumstances, gray value should be between 0 to 255, and the gray value after correcting in order to prevent overflows, and need to carry out
The upper limit and lower limit judge.Specifically, carrying out the judgement upper limit first, work as YijValue be greater than 255 when, enable Yij=255 outputs；Then
Lower limit judgement is carried out, P is worked asij-bjWhen < 0, Y is enabledij=0 output.
Preferably, pretreatment further includes treating scan image to carry out brightness, the adjustment of contrast and saturation degree.
Preferably, post-processing includes view synthesis and transmission.
Preferably, it further includes compression of images that microprocessor unit, which carries out post-processing to image data, is carried by data excellent
Change, quantizing process optimization, the aspect of optimization three improve the rate of microprocessor compressing image data in the real time scan stages,
The scanning speed of image is further speeded up.
Preferably, corrections data in the middle part of storage unit is only replaced in switching working mode reach be switched fast Working mould
The purpose of formula, storage unit can should at least store correction parameter required for the highest channel image under highest resolution.
Another aspect according to the invention, the present invention provides a kind of computer readable storage mediums, are stored thereon with meter
Calculation machine program realizes the image scan method as described in any in the embodiment of the present invention when program is executed by processor.
Contemplated above technical scheme can obtain following beneficial to effect method compared with prior art through the invention
Fruit:
1, the image scan method provided by the invention based on CIS takes full advantage of the calculated performance and characteristic of system, right
System resource and working method are managed, and realize standby management, switched scan mode, adjustment picture quality and scanning contribution etc.
Function improves the versatility and compatibility of image scanning system, it is intended to solve the problems, such as above-mentioned each to provide favorable environment；
2, view synthesis and transmission method proposed by the present invention, system is simultaneously acquired image, handle and
Transmission achievees the purpose that improve image processing efficiency, reduce communication interface bandwidth requirement and reduce intermediate waiting time, image
Compression improves the rate of microprocessor compressing image data in the real time scan stage, has further speeded up the processing speed of image
Degree reduces the image transmitting time；
3, the automatic standard technique of brightness proposed by the present invention eliminates image for adjusting each channel overall brightness of image
Overall brightness because hardware operational characteristic it is different caused by difference；
4, the present invention utilizes FPGA image collection pretreatment and image auto-correction method, in Image Acquisition and transmission process
In image data is rearranged and is corrected, by the characteristic of FPGA parallel processing and high-speed computation, in real time to image
It is pre-processed, reduces influence of the picture noise to picture quality.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of image scanning system based on CIS provided by the invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Present embodiments provide a kind of image scanning system based on CIS, including CIS interface module, image preprocessing mould
Block and post processing of image module；
The input of CIS interface module is connected with CIS, the output and the input phase of image pre-processing module of CIS interface module
Even, the output of image pre-processing module is connected with the input of post processing of image module, the output of post processing of image module and the external world
Equipment is connected；
CIS interface module is used to drive CIS and transmits the CIS image scanned；
Image pre-processing module is used to adaptively adjust described image progress brightness, data permutation and single-point are linear
Correction；
Post processing of image module for the pretreated image is formatted and by treated image into
Row transmission.
CIS interface module includes CIS driving circuit and CIS analog data transmissions interface；CIS driving circuit is for realizing right
The driving of CIS；CIS analog data transmissions interface is used for transmission the analogue data acquired in CIS scanning image process；
Image Acquisition and image pre-processing module include FPGA unit, the AD conversion unit connecting respectively with FPGA unit
And storage unit；FPGA unit is used to control the normal work of CIS and AD conversion unit, acquire image data and to image into
Row pretreatment, by treated, image is sent to post processing of image module；AD conversion unit is used for CIS scanning image process
The analogue data of middle acquisition is converted into numerical data；Storage unit is for storing used in FPGA unit image preprocessing process
Correction data；
Post processing of image module includes microprocessor unit and communication interface；Microprocessing unit is for handling in real time and transmitting
Image, the working condition of control system entirety；Communication interface transmits image data for interacting with communicating with external device.
For the present embodiment by taking image Compression as an example, the detailed process of the image scan method based on above system is as follows:
The foundation in an image quality data library is carried out to image first；
Detailed process is as follows:
1.1.1. due to the image that acquisition is tow sides, so determining that mounted CIS illumination will not influence first
Each other, i.e., two CIS pipes are staggered installation of, the sensor and sensor face of two CIS pipes, light source and light source face.
1.1.2. the calibration function for cancelling FPGA, is arranged the operating mode of system, selects specific resolution ratio and spectrum,
Then the offset and PGA of ADC is determined according to following two step, to guarantee the pixel of image in the range of linearly interval:
1.1.2.1. the output for controlling CIS first quantifies the upper limit lower than ADC, according to CIS specification and the practical speed of paper feed
Degree determines that the time needed for CIS acquires a line is T, upon exposure between when reaching 0.8*T, corresponding to the blank sheet of paper of CIS pipe acquisition at this time
Output voltage V1 be work normally when maximum output voltage, from the perspective of pixel, this voltage V1 then corresponds to maximum
Pixel 255.Then according to selected ADC chip and set quantizing range, to determine ADC to input voltage institute Ying Fang great
Multiple, if quantizing range selected at this time is [0, V2], then the maximum output voltage of CIS then corresponds to the upper of quantization
Limit value, i.e. V1 correspond to V2, so corresponding amplification factor are as follows:
α=V2/V1
After obtaining specific amplification factor corresponding PGA and amplification factor can be obtained according to corresponding ADC handbook
Between relationship, so that it is determined that the value of corresponding parameter PGA out；
1.1.2.2. after the output upper limit of control CIS, next to make the output minimum of CIS higher than ADC's
Quantify the upper limit, so that entire output is located in the range of linearly interval, standardized according to CIS, when closing luminous tube, institute is right
The output answered is dark output, and dark output at this time is minimum output when CIS is worked normally.It is dark defeated from the perspective of pixel
The obtained pixel value of image is acquired when just corresponding and CIS closes light source out.In order to allow CIS bottoming to be located at linearly interval
It is that the pixel for making dark output corresponding is greater than 0 in range.Specifically, so that CIS is closed light source first and acquire a line image,
The smallest point of gray value in this line image is obtained, and remembers that its gray value is t, judges whether t is equal to 0, if t=0, basis
The relationship of ADC handbook offset and offset voltage adjusts the value of offset parameter, such as offset value range 0~255 is corresponding
In offset voltage -250mv~250mv, then repeatedly front the step of, when obtained minimum gradation value t > 0, so that it may
It exits, corresponding offset value just can control the bottoming of CIS at this time, be located in the range of linearly interval.
After the offset and PGA of ADC is determined according to ADC parameter and actual experiment, it is kept fixed.
The photosensitive difference between different CIS is eliminated below by the adjustment of adpative exposure time:
1.1.3. its maximum exposure time T supported is determined according to CIS specificationM, set time for exposure T1As controlling
Point, wherein T1≤ TM, maximum value P of each pixel in single Color Channel is determined according to storage mode of the image in systemM,
Image overall brightness after determining luminance standard according to application scenarios and user demand, with maximum of the pixel in single Color Channel
Column average value PLRepresentative image overall brightness.Blank sheet of paper is fixed between CIS during luminance standard, it is ensured that acquires image every time
Target is identical；
1.1.4. according to the time for exposure acquisition blank sheet of paper image set, setting acquisition m row n column image, with PijIndicate it
In the i-th row j column pixel value, according to the following formula calculate adpative exposure offset Δ T.
1.1.5. time for exposure T is adjusted according to the following formula
Tx+1=Tx+ΔT
Wherein x=1,2,3 ..., N, N are the number of iterations, if Δ T <=TM/PMIt sets up, then luminance standard is completed, when
Each pixel intensity of the image that prior exposure time sweep obtains is close to PL；Otherwise, previous step is repeated after updating the time for exposure, is made
Update is iterated to the time for exposure with new adpative exposure offset to calculate.If n times iterate to calculate, i.e. x >=N it
Luminance standard remains unfulfilled afterwards, then CIS or hardware circuit part existing defects, and leading to image overall brightness always cannot reach bright
The requirement for spending automatic standard exits the adjustment process and returns to the information that time-out exits to user；
1.1.6. if above-mentioned adpative exposure time set-up procedure successfully completes, the time for exposure adjusted is saved, it
System uses this time for exposure control CIS acquisition image in the operating mode afterwards.
Traditional CIS method for correcting image has single-point penalty method and linear multi correction method.Single-point penalty method is setting one
Kind standard paper and normal brightness, calculate the difference of the standard paper each column image line average brightness scanned and normal brightness,
Corresponding difference is superimposed on each column image that system formally scans to achieve the purpose that correction.The advantages of this way is school
Positive process is relatively simple；The disadvantage is that the obtained effect of correction is poor, especially manuscript to be scanned differed with the brightness of standard paper compared with
Still there is obvious vertical noise when big on image.Linear multi correction method is setting multiple standards paper and normal brightness, in each mark
Using linear transformation to image rectification between on schedule.The advantages of this way is that the effect that correction obtains is good, calibration result and choosing
The number of standard point is taken to be positively correlated；The disadvantage is that the complexity of correction course and the number of selection standard point are positively correlated, and more
Standard paper is difficult to obtain in daily life, and normal brightness is also difficult to determine.
The present invention proposes single-point linearity correction, by setting a kind of standard paper and its normal brightness, scans in conjunction with no paper
The image arrived carries out linearity correction, eliminates the vertical noise being superimposed upon on CIS scan image.This method, which has, simply to be corrected
Journey and good calibration result, while the setting of only a kind of standard paper simplifies the production maintenance process of this system.Preferably,
Using common A4 printing blank sheet of paper as standard paper, detailed process is as follows:
1.2.1., the operating mode of system is set.It is scanned, is taken using the parameter Jing Guo the adaptive standard of brightness of image
Disappear the zero offset capability of FPGA.
1.2.2. the image when scanning of no paper, setting acquisition m are acquired1Row n column image, DijFor the i-th row jth column picture in image
Plain brightness, wherein i≤m1, j≤n.The normal brightness of no paper scan image is set to DS.Preferably, DSIt is set to pixel minimum,
The D under the image that 8 pixels indicateSTake 0.
1.2.3. the image when scanning of acquisition blank sheet of paper, setting acquisition m2Row n column image, BijFor the i-th row jth column picture in image
Plain brightness, wherein i≤m2, j≤n.The normal brightness of blank sheet of paper scan image is set to BS.Preferably, BSIt is set to pixel maximum,
The B under the image that 8 pixels indicateSTake 255.
1.2.4. the correction parameter k of each column is calculated according to the following formulajAnd bj, update and save correction parameter.
Wherein j=1,2,3 ..., n.
1.2.5. when formal scanning, the i-th row j column pixel of CIS acquisition image is corrected according to the following formula.It is original
Image pixel value is Pij, correspondence image pixel value is Y after correctionij。
Yij=kj(Pij-bj)
Further, image is operated on the user computer, performance of this processing mode to subscriber computer
Configured with certain requirement, and picture quality quickly adjusts and refers in microprocessor unit to quality such as brightness of image, contrasts
It is adjusted.This method realizes that picture quality is quickly adjusted by establishing color space mapping table.Establish color space mapping
The purpose of table is can to adjust the quality such as brightness, the saturation degree of image simultaneously when system needs the color space of conversion scan image
Feature.Color of image space is often used lookup table algorithm during converting.The quick side of adjustment of picture quality proposed by the present invention
Method improves lookup table algorithm, is quickly adjusted, is being passed through to its quality while image carries out color space conversion
After crossing image single-point linearity correction, and quality is carried out to it again and is quickly adjusted, it can be found that picture quality has greatly improved.
Here for adjusting brightness of image into YCbCr space conversion process by rgb space, detailed process is as follows:
1.3.1. numerical value luminance component table adjusted is established, carries out brightness correction using gamma correction algorithms:
The wherein i=0 under 8 pixel spaces, 1,2 ..., 255, Yi=i；PMIt is pixel intensity component under YCbCr space
Maximum value；YiIt is image pixel intensity component before adjusting；Yi' it is image pixel intensity component after adjustment；γ is gamma correction ginseng
Number, can carry out selection adjustment according to actual needs.
1.3.2. Y is usedi' replace YiThe look-up table that RGB is converted to YCbCr space is established, can establish and look into as follows
Look for table:
YRi=Yi' × 0.299 × (1 < < n)+0.5
YGi=Yi' × 0.587 × (1 < < n)+0.5
YBi=Yi' × 0.114 × (1 < < n)+0.5
CbRi=Cbi× (- 0.169) × (1 < < n)+0.5
CbGi=Cbi× (- 0.331) × (1 < < n)+0.5
CbBi=Cbi× 0.500 × (1 < < n)+0.5
CrRi=Cri× 0.500 × (1 < < n)+0.5
CrGi=Cri× (- 0.419) × (1 < < n)+0.5
CrBi=Cri× (- 0.081) × (1 < < n)+0.5
The wherein i=0 under 8 pixel spaces, 1,2 ..., 255, Cbi=Cri=i, n are quantization parameters.
1.3.3. in the formal use process of image scanning system, it is each that image is carried out according to the above-mentioned look-up table with foundation
Pixel is transformed into the operation of YCbCr space from rgb space, in the case where pixel R, G, B component are followed successively by r, g, b, according to
Under type calculates corresponding Y, Cb, Cr component:
Y=(YRr+YGg+YBb) > > n
Cb=(CbRr+CbGg+CbBb) > > n
Cr=(CrRr+CrGg+CrBb) > > n
Specifically, system model includes standby mode, scan pattern and picture quality renewal model；Wherein standby mode is
When this system free time, operating power is reduced, energy-saving and environment-friendly purpose is reached.
It is as follows that system enters standby mode process:
2.1.1.1. external device notice microprocessor enters low-power consumption mode；
2.1.1.2. microprocessor notification FPGA enters low-power consumption mode；
2.1.1.3.FPGA enter the peripheral hardwares such as low-power consumption mode, including setting ADC and SRAM to enter standby mode, close outside
If work clock, the working frequency for reducing itself etc.；
2.1.1.4.FPGA notice microprocessor itself has entered low-power consumption mode；
2.1.1.5. microprocessor itself enters low-power consumption mode, including powers off to CPU；Will operation context storage in
In RAM；The operating mode, voltage and frequency of each memory and peripheral hardware are adjusted；
2.1.1.6. microprocessor notification external equipment this system has entered low-power consumption mode.
It is as follows that system exits standby mode process:
2.1.2.1. external device notice microprocessor exits low-power consumption mode；
2.1.2.2. microprocessor itself exits low-power consumption mode, including powers to CPU；Restore the operation for being stored in RAM
Context；The operating mode, voltage and frequency of each memory and peripheral hardware are adjusted；
2.1.2.3. microprocessor notification FPGA exits low-power consumption mode；
2.1.2.4.FPGA the peripheral hardwares such as low-power consumption mode, including setting ADC and SRAM are exited and exit standby mode；Restore outer
If work clock；Restore the working frequency etc. of itself；
2.1.2.5.FPGA notice microprocessor itself has dropped out low-power consumption mode；
2.1.2.6. microprocessor notification external equipment this system has dropped out low-power consumption mode.
External equipment issues control instruction to microprocessor unit, into scan pattern.
User carries out active switching according to different scanning type and image in different resolution, and mode is switched fast detailed process such as
Under:
3.1. the single channel image under highest resolution is scanned according to this system and calculates its correction parameter data volume, stored
An equal amount of space is reserved in unit as parameter and replaces space, and remaining space retains empty as parameter in storage unit
Between；
3.2. when system electrification, microprocessor from external memory read this system highest resolution under highest port number
It is mono- by external bus to be sent to FPGA in addition to first passage by correction data used in image for correction data used in rest channels
Correction data is stored in storage unit in above-mentioned parameter retaining space by member, FPGA unit；
If 3.3. remaining space is enough in storage unit parameter retaining space, microprocessor according to resolution ratio from height to
Low, port number sends the correction ginseng in addition to first passage used under each operating mode from more to few sequence to FPGA unit
Number, correction data is stored in storage unit above-mentioned parameter retaining space by FPGA unit, until under each operating mode except the
Until correction parameter all issues FPGA unit or the remaining space deficiency of storage unit parameter retaining space outside one channel；
3.4. microprocessor notifies external equipment initialization to be completed by communication interface；
3.5. external device sends control instruction by communication interface, notifies system configuration operating mode；
3.6. first passage correction parameter under the microcomputer reads operating mode, is sent to FPGA unit and is stored in ginseng
In number replacement space；If also needing to store rest channels correction parameter under the operating mode, microprocessor is joined according to storage unit
Decide whether to send remaining parameter with the presence or absence of backup in number retaining space；It backs up if it exists, is then not required to send parameter；If not depositing
It is backing up, then send parameter and is preferentially replacing the correction data of small in resolution smaller channels image in storage unit；
3.7. microcomputer reads are stored in the parameters such as the setting of the AD conversion unit in external memory, CIS time for exposure,
It is sent to FPGA unit and carries out corresponding configuration, update color space conversion table, notice external equipment switching working mode is complete
At.Return to step 3.5.
Specifically, CIS scan image is included under different scanning mode contribution and passes through CIS scanning area with respective scanned speed
Domain；FPGA unit controls CIS scan pattern by CIS driving circuit；Analog-to-digital conversion is arranged according to CIS scan pattern in FPGA unit
Collected analogue data is converted numerical data by cell operation mode, AD conversion unit；FPGA unit is to numerical data
It is pre-processed；Pretreated image data is sent to microprocessor unit by FPGA unit, and microprocessor unit is to image
Data are post-processed and are transmitted.
Wherein, FPGA unit pre-process to numerical data and refer to during FPGA acquires image, simultaneously by FPGA
The characteristic of row processing and high-speed computation, rearranges image data in Image Acquisition and transmission process, is corrected, image
Data permutation is to carry out rearranging integration to the output data of CIS in FPGA, so that it sees microprocessor
To be exactly the neat image data of a width, it is adjusted so that microprocessor be avoided to need to be traversed for entire image, and spends
The a large amount of time.Nowadays majority CIS pipe mostly uses multistage concurrent working to improve its working efficiency, for three sections of concurrent workings
CIS for, when its work is at 100dpi, i.e., the valid data of its a line are 864, after ADC is sampled, a line figure
As data are mixing output are as follows:
[a0b0c0a1b1c1a2b2c2.........a286b286c286a287b287c287]
Above-mentioned blended data is that the data of recanalization are needed in FPGA, first in order to carry out recanalization in FPGA
First above-mentioned data are split, that is, are split as following three segment data:
t0=[a0a1a2...a285a286a287]
t1=[b0b1b2...b285b286b287]
t2=[c0c1c2...c285c286c287]
If the frequency for inputting blended data is α, then the data t after resulting fractionation0、t1、t2Frequency be α/3.It connects down
Come data t with the frequency of α0、t1、t2It is alternately written into the different address with a piece of caching, is then reading in a sequential manner
The permutatation of image is completed out, herein in order to guarantee the integrality of image, needs the skill cached using Ping-Pong
Art exports the image data of lastrow that is, when caching the image data of current line.
Image rectification is reduced in the FPGA unit of not floating point arithmetic by first amplifying again, to image
The method to eliminate the difference between CIS pipe longitudinal sensor is managed, the quick processing of image is realized.The pre- place of described image correction
Reason is to carry out single-point linearity correction to image in FPGA, that is, is passed through:
Yij=kj(Pij-bj)
Each point in gained image is compensated.In order to guarantee precision when calculating in FPGA, take here
Method is first to be amplified the method reduced again to former formula, specifically, being expanded α times first, then such as former formula
Under:
αYij=α kj(Pij-bj)
In view of voluntarily calculating correction coefficient k to FPGAjAnd bj, then one piece of internal resource will be needed very big
Fpga chip, such that the cost increase of whole system, so in the present system, microprocessor calculates correction system first
Number stores, and then forwards it to FPGA unit by communication interface, and FPGA unit is stored in internal or external deposit in advance
In reservoir, read out when calculating.Due to calculated correction coefficient kjIt is necessarily floating number, in order to allow to rationally
It is transmitted to FPGA, and completes to calculate, we are by kjBeing converted to integer adds the form of precision to handle, i.e. kjBe converted to Kj/ β,
Middle β is selected precision, then above formula deforms are as follows:
αYij=α (Kj/β)(Pij-bj)
And the selection for precision β, depend on our set parameter kjRange and the practically necessary amplification of image
Maximum multiple determine.
First by parameter kjRange be set as 0 to ω1, ω1For preset value, then according to calculated correction parameter kj,
Obtain the maximum multiple k for needing to amplifymaxAnd minimum multiple kmin, in order to enable the multiple of amplification can satisfy maximum multiple
It is required that then corresponding parameter beta meets:
β≤ω1/(kmax-kmin)
So further corresponding precision can be promoted are as follows:
Substituted into correction calculating formula, it can obtain final calculating formula are as follows:
After calculating corresponding result by above formula in FPGA accordingly, need obtained result reducing α times, i.e., are as follows:
Under normal circumstances, gray value should be between 0 to 255, and the gray value after correcting in order to prevent overflows, and need to carry out
The upper limit and lower limit judge.Specifically, carrying out the judgement upper limit first, work as YijValue be greater than 255 when, enable Yij=255 outputs；Then
Lower limit judgement is carried out, P is worked asij-bjWhen < 0, Y is enabledij=0 output.
It includes that view synthesis and transmission and picture quality are automatic that microprocessor unit, which carries out post-processing to image data,
Adjustment, further includes compression of images.Compression for image, by taking JPEG as an example, the main optimization comprising three aspects, data are carried
Optimization, quantization optimization and optimization.
(1) data carry optimization
Data are carried and are optimized, since the DMA speed for carrying data is faster than the speed of CPU compressed data, so can adopt
Data are carried with DMA and CPU compressed data parallel form handles image, and detailed process is as follows:
4.1.1. application is located at the caching in cache.The block of setting compression single treatment m*n, picture depth d, one
A pixel is saved using h byte in a computer, then the cache size applied is m*n*d*h*2；
4.1.2. in the half for using CPU to cache first block fast removal to Ping-Pong；
4.1.3. next block is transported to Ping-Pong using DMA to cache in the other half, while to being transported to
Block in Ping-Pong caching carries out compression processing；
If 4.1.4. jumping back to 4.1.3 there is also the block compressed in caching is not transported to, being otherwise transferred to 4.1.5；
4.1.5. compression processing is carried out to the last one block being transported in Ping-Pong caching.
(2) quantization optimization
Quantizing process is optimized, it can be in the microprocessor of not divider, by what is quantified in compression algorithm
Divide operations are changed to the combination of multiplication operation and shifting function, accelerate compression of images speed, and detailed process is as follows:
4.2.1. multiplication table is determined according to the quantization table during JPEG compression, taking shifting function digit is 8bit, that
For data x in quantization table, corresponding data is y=[256/x] in multiplication table, wherein [] is downward rounding operation symbol,；
If 4.2.2. data to be quantified be d, former quantization operation be [d/x], improved quantization operation be (d*y) > > 8.
(3) optimization
For optimization, by taking microprocessor unit is DSP as an example, detailed process is as follows:
4.3.1. Fast ELISA is completed using Inline Function；
4.3.2. the data first address boundary alignment after informing the dct transform in compiler cache, can carry out by
Word arithmetic；
4.3.3.DCT transformed data are half-word type, and the data after two dct transforms are fitted into a word and are carried out
Subsequent improvement quantization operation, i.e., the combination of above-mentioned multiplying and shift operation.DSP can handle two numbers by an instruction
According to promotion operation efficiency；
4.3.4. it informs that the quantization operation cycle-index of each block in compiler compression is fixed, improves DSP pipeline computing
Performance.
After the completion of Image Acquisition and compression step, wait microprocessor compression will be completed in compressed picture buffer area but still
Not sent data all issue, and present scan terminates, and replacement process is scanned next time with waiting.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all include
Within protection scope of the present invention.
Claims (7)
1. a kind of image scanning system based on CIS, which is characterized in that including CIS interface module, image pre-processing module and
Post processing of image module；
The input of the CIS interface module is connected with CIS, the output and described image preprocessing module of the CIS interface module
Input be connected, the output of described image preprocessing module is connected with the input of described image post-processing module, after described image
The output of processing module is connected with external device；
The CIS interface module is used to drive CIS and transmits the CIS image scanned；
Described image preprocessing module is used to adaptively adjust described image progress brightness, data permutation and single-point are linear
Correction；
Described image post-processing module for the pretreated image is formatted and by treated image into
Row transmission.
2. the system as claimed in claim 1, which is characterized in that the CIS interface module includes CIS driving circuit and CIS mould
Quasi- data transmission interface；The CIS driving circuit is for realizing the driving to CIS；The CIS analog data transmissions interface is used for
Give the analog data transmissions acquired in CIS scanning image process to described image preprocessing module；
Described image preprocessing module includes that FPGA unit, the AD conversion unit connecting respectively with FPGA unit and storage are single
Member；The FPGA unit will be located for controlling CIS and AD conversion unit, acquiring image data and pre-processing to image
Image after reason is sent to post processing of image module；The AD conversion unit is used to acquire in CIS scanning image process
Analogue data is converted into numerical data；The storage unit is for storing number used in FPGA unit image preprocessing process
According to；
Described image post-processing module includes microprocessor unit and communication interface；The microprocessing unit in real time handle and
Transmit image；The communication interface transmits image data for interacting with communicating with external device.
3. a kind of image scan method based on system described in claim 1 and 2 characterized by comprising
If being in standby mode, the work clock of peripheral hardware is closed；
If being in scan pattern, color space mapping table and image quality data library are established, the color space mapping table is utilized
Scan image is treated with described image quality database to be pre-processed, and pretreated image is post-processed and is preset
The image of format；
If being in renewal model, image quality data library is updated.
4. method as claimed in claim 3, which is characterized in that it is described pretreatment include brightness adaptively adjust, data again
Arrangement and single-point linearity correction.
5. method as claimed in claims 3 and 4, which is characterized in that it is described pretreatment further include treat scan image carry out it is bright
The adjustment of degree, contrast and saturation degree.
6. method as claimed in claim 3, which is characterized in that the post-processing includes view synthesis and transmission.
7. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
The method as described in any in claim 1 to 6 is realized when row.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910186466.8A CN110022420B (en) | 2019-03-13 | 2019-03-13 | Image scanning system and method based on CIS and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910186466.8A CN110022420B (en) | 2019-03-13 | 2019-03-13 | Image scanning system and method based on CIS and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110022420A true CN110022420A (en) | 2019-07-16 |
| CN110022420B CN110022420B (en) | 2020-09-08 |
Family
ID=67189533
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910186466.8A Active CN110022420B (en) | 2019-03-13 | 2019-03-13 | Image scanning system and method based on CIS and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110022420B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113766142A (en) * | 2020-06-05 | 2021-12-07 | Oppo广东移动通信有限公司 | Image processing device, image signal preprocessing module, equipment and processing method |
| CN114007009A (en) * | 2020-07-15 | 2022-02-01 | Oppo广东移动通信有限公司 | Electronic device and image processing method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2341328Y (en) * | 1998-03-18 | 1999-09-29 | 亚葳科技股份有限公司 | Scanner using battery supply |
| CN1360440A (en) * | 2002-01-31 | 2002-07-24 | 北京理工大学 | Miniaturized real-time stereoscopic visual display |
| US7016550B2 (en) * | 2002-04-19 | 2006-03-21 | Lockheed Martin Corporation | Scene-based non-uniformity offset correction for staring arrays |
| CN103063290A (en) * | 2012-12-14 | 2013-04-24 | 上海华魏光纤传感技术有限公司 | Novel real-time data acquisition and signal process device used for optical fiber vibration measurement system and implementation method thereof |
| CN101299794B (en) * | 2007-04-30 | 2013-06-12 | 兄弟工业株式会社 | Image reading device |
| CN104104825A (en) * | 2014-07-03 | 2014-10-15 | 宁波术有电子科技有限公司 | Double-sided scanner acquisition system based on FPGA and scanning and correction method thereof |
| CN104113675A (en) * | 2014-07-09 | 2014-10-22 | 宁波摩视光电科技有限公司 | Image real-time correction output method for broad-width scanner |
| CN106551703A (en) * | 2015-09-30 | 2017-04-05 | 上海联影医疗科技有限公司 | Computer tomography method and computed tomography imaging system |
-
2019
- 2019-03-13 CN CN201910186466.8A patent/CN110022420B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2341328Y (en) * | 1998-03-18 | 1999-09-29 | 亚葳科技股份有限公司 | Scanner using battery supply |
| CN1360440A (en) * | 2002-01-31 | 2002-07-24 | 北京理工大学 | Miniaturized real-time stereoscopic visual display |
| US7016550B2 (en) * | 2002-04-19 | 2006-03-21 | Lockheed Martin Corporation | Scene-based non-uniformity offset correction for staring arrays |
| CN101299794B (en) * | 2007-04-30 | 2013-06-12 | 兄弟工业株式会社 | Image reading device |
| CN103063290A (en) * | 2012-12-14 | 2013-04-24 | 上海华魏光纤传感技术有限公司 | Novel real-time data acquisition and signal process device used for optical fiber vibration measurement system and implementation method thereof |
| CN104104825A (en) * | 2014-07-03 | 2014-10-15 | 宁波术有电子科技有限公司 | Double-sided scanner acquisition system based on FPGA and scanning and correction method thereof |
| CN104113675A (en) * | 2014-07-09 | 2014-10-22 | 宁波摩视光电科技有限公司 | Image real-time correction output method for broad-width scanner |
| CN106551703A (en) * | 2015-09-30 | 2017-04-05 | 上海联影医疗科技有限公司 | Computer tomography method and computed tomography imaging system |
| CN106551703B (en) * | 2015-09-30 | 2018-10-30 | 上海联影医疗科技有限公司 | Computer tomography method and computed tomography imaging system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113766142A (en) * | 2020-06-05 | 2021-12-07 | Oppo广东移动通信有限公司 | Image processing device, image signal preprocessing module, equipment and processing method |
| CN114007009A (en) * | 2020-07-15 | 2022-02-01 | Oppo广东移动通信有限公司 | Electronic device and image processing method |
| CN114007009B (en) * | 2020-07-15 | 2023-08-18 | Oppo广东移动通信有限公司 | Electronic device and image processing method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110022420B (en) | 2020-09-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101573695B (en) | Method and system for image pre-processing | |
| US8378859B2 (en) | Memory compression technique with low latency per pixel | |
| CN110022420A (en) | A kind of image scanning system based on CIS, method and storage medium | |
| CN1943243B (en) | 2-dimensional signal encoding/decoding method and device | |
| CN102165760B (en) | Image encoding apparatus, digital still camera, digital video camera, image pickup device, printer and image encoding method | |
| CN102282838A (en) | Methods and Systems for Enhanced Dynamic Range Images and Video from Multiple Exposures | |
| CN102413283A (en) | Infrared chart digital signal processing system and method | |
| CN103269425A (en) | Multifunctional intelligent image conversion system | |
| CN106652890A (en) | Scanning card, LED display screen control system and image data processing method | |
| EP1309174A2 (en) | Data compression | |
| EP3274984A1 (en) | Dynamic power management for an hdr display | |
| CN102647593B (en) | AVS (Audio Video Standard) intra mode decision method and AVS intra mode decision device | |
| CN105049745A (en) | Method and apparatus for processing data for a display | |
| CN107846589A (en) | A kind of method for compressing image quantified based on local dynamic station | |
| CN101365138A (en) | JPEG2000 image compression processing system | |
| CN102075666A (en) | Method and device used for removing background colors from image | |
| CN106101703A (en) | A kind of screen video compression method towards numeral KVM switcher | |
| CN104378653B (en) | A kind of video block partitioning method and device | |
| CN108495101A (en) | A kind of method for correcting image, device, image capture device and readable storage medium storing program for executing | |
| CN102375887A (en) | Method and device for converting TIF (Tagged Image File) format file | |
| CN103391437A (en) | High-dynamic image vision lossless compression method and device | |
| CN103297776A (en) | On-board non-registering multispectral image lossless/lossy encoding system and on-board non-registering multispectral image lossless/lossy encoding method | |
| CN110012292A (en) | Method and apparatus for compressed video data | |
| CN110166783A (en) | Compensate table compression method, display manufacturing equipment and the device with store function | |
| CN101212682A (en) | Data loading device and method for motion search area |
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 |