CN107113412A - Display device, display calibration equipment, display correction system and display bearing calibration - Google Patents

Display device, display calibration equipment, display correction system and display bearing calibration Download PDF

Info

Publication number
CN107113412A
CN107113412A CN201580053649.2A CN201580053649A CN107113412A CN 107113412 A CN107113412 A CN 107113412A CN 201580053649 A CN201580053649 A CN 201580053649A CN 107113412 A CN107113412 A CN 107113412A
Authority
CN
China
Prior art keywords
rgb
display
pattern image
value
correction
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
Application number
CN201580053649.2A
Other languages
Chinese (zh)
Other versions
CN107113412B (en
Inventor
金哲永
曹在鹤
李承宰
李瑾范
全成浩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Samsung Electronics Co Ltd
Original Assignee
Samsung Electronics Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority to KR10-2014-0098497 priority Critical
Priority to KR1020140098497A priority patent/KR102233316B1/en
Application filed by Samsung Electronics Co Ltd filed Critical Samsung Electronics Co Ltd
Priority to PCT/KR2015/004546 priority patent/WO2016017906A1/en
Publication of CN107113412A publication Critical patent/CN107113412A/en
Application granted granted Critical
Publication of CN107113412B publication Critical patent/CN107113412B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • H04N9/68—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits
    • H04N9/69—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits for modifying the colour signals by gamma correction
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
    • G09G3/36—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
    • G09G3/3611—Control of matrices with row and column drivers
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/02—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the way in which colour is displayed
    • 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
    • H04N1/40—Picture signal circuits
    • H04N1/401—Compensating positionally unequal response of the pick-up or reproducing head
    • H04N1/4015—Compensating positionally unequal response of the pick-up or reproducing head of the reproducing head
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/02—Improving the quality of display appearance
    • G09G2320/0233—Improving the luminance or brightness uniformity across the screen
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/06—Adjustment of display parameters
    • G09G2320/0693—Calibration of display systems
    • 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
    • H04N1/603—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer
    • H04N1/6033—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer using test pattern analysis
    • H04N1/6041—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer using test pattern analysis for controlling uniformity of color across image area

Abstract

Present document relates to display device, display calibration equipment, display correction system and display bearing calibration.Display correction system includes：Display device, for display pattern image；Camera, the pattern image for shooting display；Image analyzing unit, the rgb value for calculating captured pattern image；And characteristic correcting unit, the correction data for making each pixel show calculated average value is generated for the average value based on the rgb value calculated and the rgb value of each pixel.

Description

Display device, display calibration equipment, display correction system and display bearing calibration
Technical field
Embodiment of the disclosure is related to the display device of the characteristic of the image for correcting display, display correction device, aobvious Show correction system and display bearing calibration.
Background technology
As liquid crystal display device (LCD) becomes much larger and bent, mura defects (that is, contrast type defect and image Quality distortion) size and occurrence frequency add.Term mura refers to stain (smudge) in Japanese, its mean when with Constant greyscale show the shape at a certain region midpoint, line or face during whole screen in brightness or color with peripheral region differently The defect of display.
Bending LCD faces are bent to during Mura may realize LCD in a display device or by flat LCD Produced during plate.Specifically, mura can by the uniformity of thickness of liquid crystal, pressure distribution, Temperature Distribution, light polarizing film position The difference generation of the thickness or width of orientation characteristic (characteristic) and transparency electrode circuit is put, and it may cause Even if situation be to be supplied to display device identical input signal, display that different outputs.Moreover, mura can be in manufacture During, to display device apply manufacture panel when generate, or by the backlight in complete product light source produce heat Generation.Therefore, for the display device, need correction mura's after gamma (gamma) correction before shipment or during manufacture Operation.
On mura correction, the method by catching the mura regions that pattern (pattern) image detection is arrived only is corrected A large amount of calculating, and therefore possible increase correction mura period may be needed.In addition, correction mura timings, it is necessary to The problem of many calculating being performed only to correct by catching pattern image to detect mura regions that mura is generated, and existed It is to extend mura correction times.In addition, removing More (moir é) figure using high resolution camera when catching pattern image Case, may cause to increase the price of display correction device.Therefore, recently, the research for correction mura defects has actively been carried out.
The content of the invention
[technical problem]
Therefore, the aspect of the disclosure, which will be provided, need not detect that the rgb value of display is just corrected to unified rgb value by mura Display device, display correction device, display correction system and display bearing calibration.
[technical solution]
According to the aspect of the disclosure there is provided display correction device, it includes：Camera, be configured as seizure be shown in it is aobvious Pattern image on showing device；Image dissector, is configured as calculating the rgb value of the pattern image caught；And characteristic correction Device, is configured as the rgb value of RGB average values based on calculating and each pixel come correcting display device, so that each pixel is aobvious Show the average value of calculating.
Here, characteristic corrector corrects display based on the rgb value of some region of RGB average values and each pixel is made a reservation for Device.
Also, the rgb value correction display dress of RGB average value and each pixel of the characteristic corrector based on multiple predetermined partitions Put.
Also, image dissector calculates the rgb value of first area in multiple predetermined partitions, and the rgb value based on calculating Estimate the rgb value of second area in predetermined partition.
Also, image dissector is based on being included in and neighbouring another in a predetermined partition including second area to be evaluated The rgb value of first area in one predetermined partition and the rgb value for being included in first area in a predetermined partition, pass through The rgb value of second area is estimated using linear difference method.
Also, cameras capture pattern image is without focus pattern image.
According to the aspect of the disclosure there is provided display device, it includes：Display unit, is configured as display pattern image； And memory, it is configured as the pattern image of storage display and allows the pixel of display unit to show the school of unified rgb value Correction data.
Here, pattern image includes position pattern image and RGB pattern image, and the position pattern image is aobvious for matching Show the position of the position of image on the display unit and the image of cameras capture, the RGB pattern image is used to generate and allowed The pixel of display unit shows the correction data of unified rgb value.
Also, communication unit is configured as receiving by outside display via at least one of wire communication and radio communication The correction data that means for correcting is calculated.
Also, correction data includes the deviation for making a reservation for some region of corrected value and another region.
According to the aspect of the disclosure there is provided display correction system, it includes：Display device, is configured as display pattern Image；And display correction device, comprising：Camera, catches the pattern image of display；Image dissector, calculates the pattern caught The rgb value of image；And characteristic corrector, each picture of rgb value generation permission of RGB average values and each pixel based on calculating The correction data for the average value that element display is calculated.
Also, characteristic corrector generates correction number based on the rgb value for making a reservation for some region of RGB average values and each pixel According to.
Also, the rgb value generation correction number of RGB average value and each pixel of the characteristic corrector based on multiple predetermined partitions According to.
Also, image dissector calculates the rgb value of first area in multiple predetermined partitions, and the rgb value based on calculating Estimate the rgb value of second area in predetermined partition.
Also, image dissector is based on being included in and neighbouring another in a predetermined partition including second area to be evaluated The rgb value of first area in one predetermined partition and the rgb value for the first area being included in a predetermined partition, lead to Cross the rgb value that second area is estimated using linear difference method.
Also, when another predetermined partition does not exist in the side of a predetermined partition, image dissector passes through One predetermined partition is expanded to side to estimate the rgb value of second area.
Also, when another predetermined partition does not exist in the side of a predetermined partition, image dissector passes through The rgb value for being included within first area in a predetermined partition expands to side to estimate the rgb value of second area.
Also, be extended to the rgb value of the side be included in first area in a predetermined partition RGB be averaged Value.
Also, by according to the rgb value precalculated in preset range by group pixels, to reset predetermined partition.
Also, pattern image includes position pattern image and RGB pattern image, the position pattern image is aobvious for matching Show the position of the position of image on the display apparatus and the image of cameras capture, the RGB pattern image is used to generate and allowed The pixel of display device shows the correction data of unified rgb value.
Also, RGB pattern graphical representation wherein R values, G values and B values have multiple RGB patterns of the different value of predetermined ratio Image.
Also, multiple RGB pattern graphical representations, R values, G values and B values are identicals in a RGB pattern image, but another R values, G values and B values have different value in one RGB pattern image.
Also, multiple RGB pattern images remaining identical RGB comprising wherein any one of R values, G values and B values difference Pattern image.
Also, by corresponding to multiple RGB pattern images, to calculate correction data.
Also, cameras capture pattern image is without focus pattern image.
Also, correction data includes the deviation for making a reservation for some region of corrected value and another region.
Also, display device further includes communication unit, and it is configured as via in wire communication and radio communication The correction data that at least one reception is calculated by characteristic corrector.
According to the aspect of the disclosure there is provided display bearing calibration, including：Display pattern image；By catching display Pattern image calculates the rgb value of the pattern image of seizure；And RGB average values and the rgb value of each pixel based on calculating It is corrected to allow the average value that each pixel display is calculated.
Here, correction is performed based on the rgb value for making a reservation for some region of RGB average values and each pixel.
Also, the rgb value of RGB average values and each pixel based on multiple predetermined partitions performs correction.
Also, the calculating of rgb value, calculates the rgb value of first area in multiple predetermined partitions, and the RGB based on calculating The rgb value of second area in value estimation predetermined partition.
Also, based on the neighbouring another predetermined partition in the predetermined partition for being included in including second area to be evaluated In first area rgb value and the rgb value for the first area being included in a predetermined partition, by using linear Difference approach, estimates the rgb value of second area.
Also, by according to the rgb value precalculated in preset range by group pixels, to reset predetermined partition.
Also, pattern image includes position pattern image and RGB pattern image, the position pattern image is aobvious for matching The position of the image shown and the position of the image caught, the RGB pattern image are used to correct to allow each of display device Pixel shows unified rgb value.
[beneficial effect]
Institute is obvious as described above, according to the display device of proposition, display correction device, display correction system and display correction side Method, just can be with correcting display device, so that the display device need not change gamma song without using high-performance camera calibration mura Line can just show unified rgb value.
Brief description of the drawings
With reference to accompanying drawing, from the following description, these and/or other side of the disclosure will become apparent and more It is readily appreciated that, in accompanying drawing：
Fig. 1 is the configuration block diagram for showing the display correction system according to an embodiment.
Fig. 2 a are to show the outside drawing that system is corrected according to the display of an embodiment.
Fig. 2 b are the outside drawings for showing the display correction system according to another embodiment.
Fig. 2 c are the outside drawings for showing the display correction system according to another embodiment of replacement.
Fig. 3 is the configuration block diagram for showing the display correction system according to embodiment A generation correction data.
Fig. 4 is to show the flow chart for being used to generate the method for correction data according to embodiment A1.
Fig. 5 is to show the flow chart for being used to generate the method for correction data according to embodiment A2.
Fig. 6 is the concept map for showing the generation correction data according to embodiment A3.
Fig. 7 is the block diagram for showing the display correction system 1 according to embodiment B generation correction data 910.
Fig. 8 is to show the flow chart for being used to generate the method for correction data according to embodiment B1.
Fig. 9 is the concept map for showing the generation correction data according to embodiment B2.
Figure 10 is the concept map for showing the generation correction data according to embodiment B3.
Figure 11 is the concept map for showing the generation correction data according to embodiment B4.
Figure 12 a are to show the procedure chart that correction data 910 is generated by matrix according to an embodiment.
Figure 12 b are to show the procedure chart that correction data 910 is generated by matrix according to another embodiment.
Figure 13 is to show the flow chart for being used to generate the method for correction data according to embodiment C.
Figure 14 a- Figure 14 g show the embodiment of position pattern image.
Figure 15 a are the scatter charts for showing the rgb value of display device before the correction according to an embodiment.
Figure 15 b are the scatter charts for the rgb value for showing the correction rear indicator according to an embodiment.
Figure 16 a are the scatter charts for showing the rgb value of display device before the correction according to another embodiment.
Figure 16 b are the scatter charts for the rgb value for showing the correction rear indicator according to another embodiment.
Figure 17 is the perspective view for showing the display correction system that correction data is generated in display correction device.
Embodiment
Let us now refer to the figures and the disclosure is described more fully, shown in the drawings of the example embodiment of the disclosure.The disclosure Description in, if it is determined that the general technology related to embodiment of the disclosure or the detailed description of structure may unnecessarily moulds The theme of the disclosure is pasted, then the detailed description will be omitted.
Term used below is the function of considering in embodiment and the term selected, and the meaning of term can be according to Rely the intention or precedent in user and operator and change.Therefore, the term used in following examples is meant according to it When being specifically defined below their meaning and define, and when not explicitly defined, they should be interpreted With the meaning obvious to those of ordinary skill in the art.
Although in addition, the configuration for the embodiment that the aspect or selectivity of the embodiment of selectivity description are described is by the accompanying drawings Single integrated configuration is shown as, it is to be understood that the configuration is to be combined with each other, unless ins and outs are common for this area What technical staff will be apparent from.
Display device, display correction device, display correction system and display bearing calibration are described hereinafter with reference to accompanying drawing Example embodiment.
One embodiment of the configuration of display correction system is described hereinafter with reference to Fig. 1 to Fig. 2 c.
Fig. 1 is the configuration block diagram for showing display correction system.
The image that display correction system 1 can catch the pattern image 950 being shown in display device 600, compare seizure Rgb value and be a certain rgb value by the equilibrium of each pixel of display device 600.In addition, display correction system 1 can pass through The rgb value of the part of measurement display pattern image 950 over the display and estimate the remainder of pattern image 950 by Each pixel equilibrium of display device 600 is a certain rgb value.
Specifically, display correction system 1 can include：Display correction device 100, it is configured as by catching pattern figure Correction data 910 is generated as 950 and is configured as correcting the rgb value for the image being shown in display device 600；And display Device 600, it is configured as display pattern image 950 and is configured as receiving correction data 910 from display correction device 100 And store correction data 910.
Display correction device 100 can catch the pattern image 950 that is shown in display device 600 to generate correction data 910, and the rgb value of pattern image 950 for being configured as capturing is corrected to unified rgb value.
Specifically, display correction device 100 can be with catching position pattern image 960, the position pattern image of calculating display Deviation (deviation), seizure RGB pattern image 980 between 960 and the position pattern image 960 of seizure, generation correction number According to 910 with by the equilibrium of the rgb value of each pixel of display device 600 for a certain rgb value, and correcting display device 600.This Outside, display correction device 100 can include camera 200, sampling unit 250, image dissector 300, characteristic corrector 400 and the One communication unit 500.
Camera 200 can catch the pattern image 950 that is shown in display device 600 and by the pattern image captured 950 are converted to picture signal.In addition, camera 200 can catch pattern image 950 when detection catch environment and it is rear to figure As analyzer 300 sends the seizure environment.For example, camera 200 can detect time for exposure, sensitivity (ISO) and f-number (F#), and by time for exposure, sensitivity (ISO) and f-number (F#) it is sent to image dissector 300.
When capturing pattern image 950, pattern image 950 can be exposed scheduled exposure time or longer by camera 200. Specifically, due to the change of illumination or sweep speed around display device 600, it is likely to occur in the pattern image 950 of seizure Banding noise or flicker, although and in addition, when catching dark image super-sens, noise may still be increased.Therefore, Time for exposure may need to be longer than the scheduled time.For example, the time for exposure needs to be equal or longer than 0.0005 second.
In addition, camera 200 can be placed at the position away from a certain distance of display device 600, and arrive display device 600 distance or the size or shape of display device 600 can be variable.When the display device 600 and camera 200 to be corrected The distance between when being constant and when correction data 910 is by catching same display device 600 to generate, correction data 910 can be generated by using precalculated position data without catching position pattern image 960.However, the display to be corrected The distance between device 600 and camera 200 are not constant or the shape of display device 600 is not constant, display correction System 1 may need to perform following operate：Catching position pattern image 960 and the He of position pattern image 960 for calculating display Deviation between the position pattern image 960 of seizure.
Camera 200 is used as with high-resolution high-performance camera, and there is the low performance camera of low resolution It is used as camera 200.High-performance camera 200 can represent had pixel more than being included in the display device to be captured 5 times of camera of the pixel in 600, and low performance camera 200 can represent had pixel less than being included in and to be captured Display device 600 in pixel 1/5 camera.In addition, being used as camera 200 using the CCD and CMOS of silicon semiconductor Sensor, but not limited to this.Various sensors can be used for the sensor of camera 200.
When catching pattern image 950, camera 200 can be focused only on pattern need not focus on pattern image 950 Pattern image 950 is caught while the preceding surface of image 950 or rear surface.
It is configured as recognizing R values, G values and whole RGB camera 200 in B values or is configured as recognizing R values, G values and B Mono (monochrome) camera 200 of any one of value is used as camera 200.Type (that is, RGB camera dependent on camera 200 200 or mono cameras 200), it may be determined that the type or number for the RGB pattern image 980 to be caught.
Alternatively, digital camera 200 or analogue camera 200, such as film camera 200 or Polaroid (polaroid) camera 200, camera 200 is used as, wherein scanner is required that the image of seizure is converted into digital letter using analogue camera 200 Number.Alternatively, the mobile electronic device with camera 200 can catch pattern image by using application processor (AP) 950 and generation correction data 910.Further, camera 200 can be camera model.Camera 200 can be fixed to tripod with solid Determine the position of camera 200 and prevent camera 200 from moving.
Sampling unit 250 can calculate the RGB of the part of the display device 600 of the display pattern image 950 to be captured Value, and the rgb value of calculating is sent to image dissector 300, so that image dissector 300 estimates the surplus of display device 600 The rgb value of remaining part point.In addition, sampling unit 250 can pass through the rgb value according to the pattern image 950 previously measured and estimation The similarity of rgb value group areas is determined to predetermined subregion (division region).Specifically, sampling unit 250 Can be by the way that the group pixels with the rgb value in preset range be set into predetermined partition.
Image dissector 300 can receive the rgb value that the pattern image 950 or sampling unit 250 of seizure are sampled, and mapping is aobvious Deviation between the pattern image 950 shown and the pattern image 950 caught, and map the rgb value of each pixel.In addition, figure As the rgb value estimation that analyzer 300 can be based on sampling is included in the rgb value of pixel in the region not being sampled.
Specifically, image dissector 300 can include position pattern map unit 310, the and of RGB pattern map unit 320 RGB estimators 330.
Position pattern map unit 310 can analyze the position for the seizure being stored in the memory 900 of display device 600 The picture signal of pattern image 960, to measure between the position pattern image 960 of display and the position pattern image 960 of seizure Deviation.
Specifically, the pattern extraction position pattern figure that position pattern map unit 310 can be based on position pattern image 960 As 960 feature (feature), and the position for being shown on display unit 1000 and being stored in memory 900 is extracted afterwards The distance between the characteristic point of placing graphic pattern image 960 and the characteristic point of position pattern image 960 of seizure and direction.
For example, working as the position pattern for catching and being shown in the display device 600 with curved shape in two dimension from front side During image 960, the position pattern image 960 of seizure can have hourglass shape in the plane.That is, the position pattern image of seizure 960 can have a following shape, and wherein vertical edges are that straight line, horizontal sides are that the height at center of curve and horizontal sides is less than water The height of the opposite side on flat side.In this case, when performing timing by showing RGB pattern image 980, being placed on uncorrelated position The pixel at the place of putting can be corrected.Therefore, position pattern map unit 310 can calculate the position pattern image 960 of display and catch Deviation between the position pattern image 960 caught, and consider the deviation when generating correction data 910 afterwards.
It is single that RGB pattern map unit 320 can map display based on the picture signal of the RGB pattern image 980 of seizure The rgb value shown in each pixel of member 1000.
Rgb value can represent in three of color distributions with red corresponding R values, with green corresponding G values and with blueness The combination of corresponding B values.Rgb value can show color and rgb value can show that wherein R values, G values and B values have identical value Gray level image picture in brightness.
Specifically, RGB pattern map unit 320 can calculate the rgb value of all pixels of display unit 1000 or by adopting The some region of rgb value that sample unit 250 is sampled.
RGB estimators 330 can be based on first area rgb value estimation be included in second area in predetermined partition Rgb value, wherein first area are generated so that the pattern image 950 for the first area being included in predetermined partition is by sampling unit 250 sample and are calculated by RGB pattern map unit 320.
Predetermined partition can be represented by the way that each pixel of display correction device 100 is divided into multiple groups of groups generated Region, and predetermined partition can be multiple.Alternatively, predetermined partition can be according in other RGB pattern figures based on before As 980 rgb value a certain scope in have rgb value similarity dimensions and the subregion that is grouped.It is included in predetermined partition First area can be sampled the region of unit sampling and be arranged to mura probability of occurrence statistically relatively low area Domain, or it is suitable for estimating the region of the rgb value of second area.Further, certain predetermined region can represent to be arranged to mura Probability of occurrence statistically relatively low region certain region, and certain predetermined region can be single or multiple.
Specifically, RGB estimators 330 can be by based on institute in the predetermined partition comprising second area to be evaluated Including first area rgb value, and included the in another predetermined partition being placed on around a predetermined partition The rgb value in one region, the rgb value of second area is estimated using linear interpolation method.
When another predetermined partition neighbouring with the predetermined partition including second area to be evaluated is not enough to lead to When crossing using linear difference method to estimate, RGB estimators 330 can be by expanding the rgb value or of a predetermined partition The RGB average values in one region estimate the rgb value of second area.Estimated below with reference to Figure 11 descriptions by expanding rgb value The specific descriptions of the rgb value of second area.
In addition, RGB estimators 330 can be by based on by mapping in multiple RGB pattern images 980 with different stage RGB pattern and the RGB that generates, rgb value is mapped using linear difference method, the RGB pattern image 980 is by mapping The rgb value that is shown on display unit 1000 and generate.
Characteristic corrector 400 can correct the value exported from display device 600, or based on the deviation and by graphical analysis Device 300 map the seizure pattern image 950 rgb value and generate the correction data 910 for correcting the value.
Specifically, characteristic corrector 400 can the rgb value next life based on the pattern image mapped by image dissector 300 Into the correction data 910 of the rgb value exported for equilibrium from display device.Characteristic corrector 400 can be by using R values, G values The correction data 910 with identical R, G and B value is generated with least one in B values, or alternatively, characteristic corrector 400 can Correction data 910 is generated with each weight based on R values, G values and B values.In addition, characteristic corrector 400 can generate school Correction data 910 so as to the difference between the rgb value of the pixel of mapping be equal to or less than predetermined value when show the R values, the G values With the average value of the B values.
Characteristic corrector 400 can include RGB comparators 410 and correction data calculator 420.
RGB comparators 410 can be compared by image dissector by corresponding with each pixel of display unit 1000 300 rgb values calculated.
Specifically, RGB comparators 410 can compare the rgb value and display unit of each pixel of display unit 1000 The RGB average values of 1000 all pixels, and determine that the rgb value of respective pixel is greater than also being less than RGB average values.This Outside, RGB comparators 410 can determine that the predetermined some region of RGB average values of display unit 1000 are greater than also being less than The rgb value of each pixel of display unit 1000.RGB comparators 410 can compare the RGB average values of multiple predetermined partitions and show Show the rgb value of each pixel of unit 1000.
Correction data calculator 420 can generate correction data 910 so as to the rgb value of each pixel be shown as be based on by The reference rgb value for the rgb value that RGB comparators 410 compare.
Rgb value for correcting each pixel by correction data calculator 420 is described below with reference to Figure 12 a and Figure 12 b Correction data 910 specific descriptions.
First communication unit 500 can send the correction data 910 generated by characteristic corrector 400 to display device 600. First communication unit 500 can include the COM1 520 of first communication module 510 and first.
First communication module 510 can confirm that the session with second communication module 720 whether complete and backward second Communication unit 700 sends the signal of communication for sending correction data 910.It is wired that first communication module 510 can include first The wireless communication module 512 of communication module 511 and first.
First wire communication module 511 can determine the first wired connection port 521 and the second wired connection port 711 it Between whether establish physical connection and electrical connection, and when session is completed, the first wire communication module 511 can have to second Line communication module 721 sends correction data 910.
When the first wireless communication module 512 is received for confirming the first wireless communication port 522 and the second radio communication During the signal of the wireless session between port 712, and when its pairing is completed, the first wireless communication module 512 can be to the Two wireless communication modules 722 send correction data 910.
Specifically, the first wireless communication module 512 can include antenna system, RF transceivers, one or more amplifiers, Tuner, one or more oscillators, digital signal processor, CODEC chipsets, subscriber identity module (SIM) etc., but do not limit In this.First wireless communication module 512 can include the circuit well known in the art for being used to perform these functions.
In addition, the first wireless communication module 512 by using internet, Intranet and can be referred to as WWW (WWW) And/or the network of wireless network (e.g., cellular phone network, WLAN and/or Metropolitan Area Network (MAN) (MAN) and radio communication) and Two wireless communication modules 722 and network service.
Radio communication can include global system for mobile communications (GSM), enhanced data gsm environment (EDGE), broadband code Point multiple access (WCDMA), CDMA (CDMA), time division multiple acess (TDMA), low energy consumption bluetooth (BLE), near-field communication (NFC), Zigbee, Wireless Fidelity (Wi-Fi) (e.g., IEEE802.11a, IEEE 802.11b, IEEE 802.11g and/or IEEE 802.11n), voice over internet protocol (VoIP), Wi-MAX, Wi-Fi direct, ultra wide band (UWB), Infrared Data Association (IrDA), Email, instant message transrecieving and/or agreement for Short Message Service (SMS) or any other suitable logical Believe agreement.In addition, various wireless communications methods are used as the example of radio communication.
In addition, at least one in above-mentioned wireless communications method can be used in the first wireless communication module 512, without It is only using a wireless communications method in the first wireless communication module 512.
First COM1 520 can be provided to be wanted for being sent via the second COM1 710 to second communication module 720 The path of second communication module 720D data is sent to from first communication module 510.Further, the first COM1 520 can So that including the first wired connection port 521 and the first wireless communication port 522, the first wired connection port 521 is provided from first Wire communication module 511 sends the path of data, and the first wireless communication port 522 is provided to be sent out from the first wireless communication module 512 Send the path of data.
First COM1 520 can include HDMI (HDMI) port, digital visual interface (DVI) Port, D microminiatures (D-sub) port, unshielded twisted pair cable (UTP cables) port and unified serial bus (USB) port. In addition, the various COM1s of the correction data 910 for sending and receiving characteristic corrector 400 are used as the first communication ends The example of mouth 520.
Display device 600 can receive correction data 910 from display correction device 100, be stored in correction data 910 In reservoir 900, and the amount for being shown in light in the pixel of display unit 1000 is adjusted using correction data 910.Display device 600 can be with display pattern image 950 so as to the generation correction data 910 of display correction device 100.
In addition, display device 600 may be at the state that manufacture is completed but do not shipped also, or in display device 600 The middle state for realizing display panel.Display device 600 can be the display device 600 for wherein completing Gamma correction.
Specifically, display device 600 can include the second communication unit 700, input 750, controller 800, memory 900 With display unit 1000.
Second communication unit 700 can receive the correction data 910 sent from display correction device 100, and will correction Data 910 are sent to controller 800 or memory 900.In addition, the second communication unit 700 can include the second COM1 710 With second communication module 720.
Second COM1 710 can be provided to be sent for being sent to second communication module 720 from the first communication unit 500 Correction data 910 path.In addition, the second COM1 710 can be wireless including the second wired connection port 711 and second COM1 712.
The type of second COM1 710 can be same or different from above-mentioned first COM1 520.
Second communication module 720 can be sent from first through the second COM1 710 to controller 800 or memory 900 The correction data 910 that communication unit 500 is sent.In addition, second communication module 720 can include the second wire communication module 721 With the second wireless communication module 722.
Second wire communication module 721 can receive the correction data 910 sent through the second wired connection port 711, connect The session signal sent by the first wire communication module 511 is received, and the session signal is again sent to the first wire communication Module 511, so as to confirm the connection between the first wired connection port 521 and the second wired connection port 711.
Second wireless communication module 722 can receive the correction data 910 sent through the second wireless communication port 712, connect The session signal sent by the first wireless communication module 512 is received, and the session signal is again sent to the first radio communication Module 512, so as to confirm the connection between the first wireless communication port 522 and the second wireless communication port 712.
The type and method of second wireless communication module 722 can be same or different from above-mentioned first wireless communication module 512 type and method.
Input 750 can be configured as selecting the function of display device 600 and input the life for performing desired function The equipment for making signal.Input 750 can be to provide in display device 600 and remote control equipment (e.g., remote controllers) The combination of button.
Specifically, remote control equipment can use including infrared or bluetooth short haul connection to control display correction dress Put 100 and/or display device 600.User can be by using providing button (including button) in remote control equipment, touch Template, the microphone that user speech can be received or can recognize remote control equipment motion sensor, come control display The function of means for correcting 100 and/or display device 600.
User can use remote control equipment to beat opening/closing power supply, change channel, regulation volume, selectively wide / wired broadcasting/satellite broadcasting is broadcast, or performs the setting operation of display device 600.In addition, user can be by using long-range control Control equipment (e.g., should come the content for beating opening/closing power supply, changing channel, adjusting volume, selection source or search for display device 600 With, video, network etc.).
Controller 800 can control the integrated operation of display device 600.That is, controller 800 can be from the second communication unit 700 receive correction data 910, and correction data 910 is stored in memory 900, and display unit is adjusted based on correction data 910 1000 rgb value, and afterwards based on input signal selection broadcast or adjustment volume for inputting 750 etc..
Controller 800 may be used as CPU, and the type of CPU can be microprocessor.It is micro- Processor can be wherein ALU, register, program counter, command decoder and control circuit be provided to Processor in a few silicon.
Microprocessor can also include the graphics processor (GPU) of the graphics process for image or video.Microprocessor It can be implemented as including core and GPU on-chip system (SoC).Microprocessor can include monokaryon, double-core, three cores, four cores and many Core.
In addition, controller 800 can include graphics process plate, it includes being electrically connected on the independent circuit board of microprocessor GPU, RAM or ROM.
Specifically, controller 800 can include master controller 820 and display controller 810.
Master controller 820 can control the overall control of controller 800.
Master controller 820 can send a signal to display unit 1000 to display controller 810 and call be stored in storage Pattern image 950 and display pattern image 950 in device 900.Master controller 820 can be received from the second communication unit 700 Correction data 910 and correction data 910 is stored in memory 900.Master controller 820, which can be adjusted, is supplied to display single The correction data 910 that the size of the input signal of member 1000 is stored in memory 900 so that display controller 810 is called is with fair Perhaps each pixel of display unit 1000 shows unified rgb value.Master controller 820 can based on input 750 input signal, Send control signal to perform the corresponding operating inputted by display device 600 to each configuration of display device 600.
Display controller 810 can receive control signal from master controller 820 and will believe on the control of desired operation Number it is sent to display unit 1000.
Specifically, display controller 810 can send control signal so that display unit 1000 is aobvious to display unit 1000 Show position pattern image 960 or RGB pattern image 980.Display controller 810, which can also be adjusted, is sent to display unit 1000 Control signal the RGB specified by correction data 910 is shown based on correction data 910 so as to each pixel of display unit 1000 Value.
Further, display controller 810 can be configured as correcting R different from each other with control display unit 1000 The correction data of value, G values and B values is allowed to R values, G values and B values being corrected to a certain value.Display controller 810 can be based on R values, G values perform the correction on another value with least one value in B values about correction data 910.
Specifically, when the memory 900 due to display device 600 memory space limitation, so storing on extremely The correction data 910 of a few value is without storing during each correction data 910 on R values, G values and B values, when due to aobvious Show poor fairly small between the R values shown in each pixel of unit 1000, G values and B values, so generation is on R values, G values and B When each correction data 910 of value is insignificant, or when the data for the display correction device 100 for calculating correction data 910 Process performance or based on correction data 910 it is not enough come the data processing performance of the display device 600 of control display unit 1000 when, It can be possible that correction is performed by using small amount data.
For example, seizure RGB pattern image 980 rgb value be equal to or less than preset range in the state of, although R values, G values and B values have different value in same rank, and R values, G values and B values can also be corrected to identical value by display device 600.When When display device 600 is had on the correction data 910 of at least one in R values, G values and B values, display device 600 can lead to Cross and the correction data 910 of analog value is expanded to another value by another value is corrected to the identical value.When display device 600 has During the correction data 910 of at least one being related in R values, G values and B values, display device 600 can correct R values, G values and B values Whole, so as to R values, G values and B values have predefined weight ratio.
Memory 900 can store correction data 910 to allow the rgb value of display correction device 100 to be shown as reference Rgb value, and store the pattern image 950 that is shown on display unit 1000 to generate the correction data 910 of display.
Memory 900 can include nonvolatile memory 900, such as ROM, high-speed random access memory (RAM), disk Storage device, flash memory or other Nonvolatile semiconductor memory devices.
For example, memory 900 can be semiconductor memory apparatus, and thus, e.g., secure digital (SD) storage card, peace It is digital high power capacity (SDHC) storage card, mini SD storage cards, mini SDHC storage cards, trans quick flashing (TF) storage card, miniature SD storage cards, miniature SDHC storage cards, memory stick, compact flash (CF), multimedia card (MMC), miniature MMC, eXtreme (number Word XD) card be used as memory 900.
In addition, memory 900 can include the network-attached storage device via network access.
Correction data 910 can be by being made comparisons by the rgb value of each pixel of display unit 1000 and with reference to rgb value The data generated, and correction data 910 can be the data of matrix form.Correction number will be described with reference to Figure 12 a and Figure 12 b According to 910 specific descriptions.
Pattern image 950 is the test image for generating correction data in display unit 1000.That is, pattern image 950 be for comparing the figure for being shown on display unit 1000 and being stored in the pattern image 950 in memory 900 and catching Poor image between case image 950.In addition, pattern image 950 can include position pattern image 960 and pattern RGB image 980。
Position pattern image 960 can be allowed to calculate the He of position pattern image 960 being shown on display unit 1000 Deviation between the position pattern image 960 that camera 200 is caught, and recognize certain in stored position pattern image 960 One position is placed on which position of the position pattern image 960 caught by camera 200, so that in generation correction data 910 When, middle adjustment rgb value in position.The size and lock-on range of display device 600 as the mura of correcting display device 600 When constant, because correction data 910 is generated from tentation data, it is possible to do not need position pattern image 960.But, when , can be by the way that the position shown after position pattern image 960 will be captured when the size or non-constant lock-on range of display device 600 Placing graphic pattern image 960 matches to generate correction data 910 with the position pattern image 960 as the object to be captured.
RGB pattern image 980 can be the image for generating correction data 910, with by recognizing display unit 1000 Pixel rgb value between difference by the equilibrium of the rgb value of the pixel of display unit 1000 to refer to rgb value.
Specifically, RGB pattern image 980 is the image for showing the pattern image 950 with predetermined rgb value.That is, on RGB pattern image 980, R values, G values and B values can have the RGB pattern image for making a reservation for than and can having at least one type 980.For example, RGB pattern image 980 can be gray level image, wherein R values, G values and B values tool in a RGB pattern image 980 There is identical value, but the R values, G values and B values are the values different from another RGB pattern image 980.
In addition, RGB pattern image 980 can be pattern image 950, wherein according to RGB pattern image 980, R values, G values and A difference and its residual value in B values are fixed.That is, RGB pattern image 980 can be the combination of the following：Wherein remove R The outer G values of value and B values fixed and R value changes pattern image 950, wherein R values and B values are fixed and the change of G values in addition to G values The pattern image 950 of change, and in addition to B values R values and G values fixed and B value changes pattern image 950.
In addition, RGB pattern image 980 can be the image with multiple bits.Specifically, RGB pattern image 980 can be with It is the 8 bit pattern images 950 with 256 grades of images.RGB pattern image 980 can be multiple and RGB pattern image 980 It can be 256 images or 768 images, but 256 images or 768 images can be equal to or less than.For example, on RGB Pattern image 980, gray level image can be with 10 grades (that is, R values/G values/B values are 10/10/10), 25 grades (25/25/25), 5 in the RGB pattern image 980 of 40 grades (40/40/40), 60 grades (60/60/60) and 200 grades (200/200/200).
Further, pattern image 950 can be implemented so that position pattern image 960 and RGB pattern image 980 are by simultaneously Realize at single image.Specifically, with synthesising pattern image 950 the position pattern of position pattern image can be placed in At the low position of mura probabilities of occurrence, and remainder has the characteristic of RGB pattern image 980.
Display unit 1000 can show that the pattern image 950 being stored in memory 900 shows so that camera 200 is caught Pattern image 950 with allow display correction device 100 generate correction data 910.
Display unit 1000 can include flat display unit 1000, the curved-surface display unit 1000 with bent portion, The wherein adjustable flexible display unit 1000 in bent portion.
The output resolution ratio of display unit 1000 can include fine definition (HD), full HD and super HD.Display unit 1000 The catercorner length of screen can be less than 650mm, 660mm, 800mm, 1010mm, 1520mm, 1890mm, or be more than 2000mm.The horizontal vertical length of the screen of display unit 1000 can include 643.4mm x 396.5mm, 934.0mm x 548.6mm, 1670.2mm x 962.7mm, or 2004.3mm x 1635.9mm.Alternatively, the screen of display unit 1000 Horizontal vertical ratio can include 4:3、16:9、16:10、21:9 or 21:10.
Fig. 2 a are the outside drawings for showing the display correction system according to an embodiment, and Fig. 2 b are shown according to another reality Apply the outside drawing of the display correction system of example, Fig. 2 c are shown according to the outer of the display correction system of another embodiment of replacement See figure.
As shown in Fig. 2 a to Fig. 2 c, display device 600 can be provided that and display correction device 100 may be provided on afterwards Before the display unit 1000 of display device 600.
On display correction device 100, attach to the camera 200 of tripod can be placed on it is predetermined away from display device 600 The position of distance.In addition, single camera 200 can be provided that, but alternatively, multiple cameras 200 can be provided that to catch display dress Put 600 different zones.For example, on curved-surface display device 600, multiple cameras 200 may be provided on as curved surface The position at center.Alternatively, camera 200 can be placed on multiple positions and a large amount of cameras 200 can be used for showing by catching The pattern image 950 that shows generates correction data 910.
In addition, on display correction device 100, can provide for supporting and protecting the sampling unit in addition to camera 200 250th, image dissector 300, the shell 150 of the communication unit 500 of characteristic corrector 400 and first.In shell 150, Ke Yifang Put sampling unit 250, image dissector 300, the communication unit 500 of characteristic corrector 400 and first in addition to camera 200.
According to an embodiment, the connection between display device 600, shell 150 and camera 200 can be configured so that display Device 600 and shell 150 are connected by wire communication connection and shell 150 and camera 200 by wire communication.According to another Embodiment, can configure the connection between display device 600, shell 150 and camera 200 so that display device 600 and shell 150 are connected by wireless communication connection and shell 150 and camera 200 by wire communication.According to another embodiment of replacement, The connection between display device 600, shell 150 and camera 200 can be configured so that display device 600 and shell 150 are by having Line is communicated to connect and shell 150 and camera 200 pass through wireless communication connection.
Above, the configuration of the display correction system according to an embodiment has been described.
Display bearing calibration explained below according to embodiment.
The display bearing calibration according to embodiment A is described below with reference to Fig. 3 to Fig. 6.
Fig. 3 is the configuration block diagram for showing the display correction system according to embodiment A generation correction data.
Display unit 600 can show RGB pattern image 980.In other words, display unit 600 can show that the first RGB schemes Case image (980_1).Camera 200 can catch the first RGB pattern image (980_1) with by the first RGB pattern image of seizure (980_1) is converted into picture signal and the picture signal is sent into image dissector 300 afterwards.Image dissector 300 RGB pattern map unit 320 can map the rgb value of each pixel.RGB pattern map unit 320 can be by each of mapping The rgb value of pixel is sent to characteristic corrector 400.
The RGB comparators 410 of characteristic corrector 400 can compare the rgb value of each pixel and the RGB of all pixels is averaged Value, or compare the RGB average values of the rgb value of each pixel and the predetermined partition including respective pixel.Further, RGB comparators 410 can compare the rgb value of each pixel and make a reservation for some region of RGB average values.
Based on the rgb value compared by RGB comparators 410, correction data calculator 420 can generate correction data 910 with Just the rgb value shown by each pixel, which is shown, refers to rgb value.
Correction data 910 can be generated as so that the corrected value of each pixel of display device 600 is arranged on square Data in battle array.On correction data 910, the first correction data (910_1) can be generated by the first RGB pattern image (980_1), Second correction data (910_2) can be generated by the second RGB pattern image (980_2), and the n-th correction data (910_n) can be by n-th RGB pattern image (980_n) is generated.
That is, when the first correction data (910_1) is generated by the first RGB pattern image (980_1), display device 600 can To generate the second correction data (910_2) by the second RGB pattern image (980_2) of display, and so as to which display device 600 can To repeatedly generate next round correction data 910 by showing next round RGB pattern image 980.
Embodiment A can include embodiment A1, embodiment A2 and embodiment A3.Embodiment A1 can be scenario described below, its Compare the rgb value of each pixel and the RGB average values of all pixels and put down the RGB that all pixels are set to reference to rgb value Average.Embodiment A2 can be scenario described below, the rgb value of its more each pixel and the predetermined partition including respective pixel RGB average values, and will be set to include the RGB average values of the predetermined partition of respective pixel with reference to rgb value.Embodiment A3 can be with It is scenario described below, the rgb value of its more each pixel and predetermined some region of RGB average values, and will be set with reference to rgb value To make a reservation for some region of RGB average values.
Fig. 4 is to show the flow chart for being used to generate the method for correction data according to embodiment A1.
Display device can show RGB pattern image.Camera can catch the RGB pattern image (100) of display and it The RGB pattern image of seizure is converted into picture signal afterwards.Image dissector can calculate rgb value and the seizure of each pixel The RGB average values (110) of the whole region of RGB pattern image, and compare rgb value by corresponding with each pixel afterwards With RGB average values.
Characteristic corrector can generate correction data based on the rgb value of each pixel and the RGB average values of calculating (120).That is, by being set to the RGB average values of calculating to refer to rgb value, the rgb value of each pixel can be configured to reference Rgb value.
Characteristic corrector can determine whether the RGB pattern image currently caught is the n-th RGB pattern image (130).
When the RGB pattern image currently caught is not the n-th RGB pattern image, the controller of display device can be from depositing Reservoir loading next round RGB pattern image (140), and afterwards show the next round RGB pattern image on the display unit. Display correction device can be sequentially performed step 100 to 300 again based on the RGB pattern image of display.
When the RGB pattern image currently caught is the n-th RGB pattern image, the first communication unit can be by the school of calculating Correction data is sent to the second communication unit (150) of display device, and the second communication unit can be by the correction data of transmission Memory is sent to store the correction data of transmission in memory (160).
Finally, display device can send control signal by based on the correction data stored in memory to display unit Carry out display image (170).
Fig. 5 is to show the flow chart for being used to generate the method for correction data according to embodiment A2.
Display device can show RGB pattern image.Camera can catch the RGB pattern image (200) of display and it The RGB pattern image of seizure is converted into picture signal afterwards.Image dissector can calculate rgb value and the seizure of each pixel The RGB average values (210) of the predetermined partition of RGB pattern image, and compare rgb value by corresponding with each pixel afterwards With RGB average values.
Then, characteristic corrector can be based on each pixel rgb value and the RGB average value next life of the predetermined partition calculated Into correction data (220).That is, by being set to the RGB average values of calculating to refer to rgb value, the rgb value of each pixel can be set It is set to and refers to rgb value.
Characteristic corrector can determine whether the RGB pattern image currently caught is n-th of RGB pattern image (230).
When the RGB pattern image currently caught is not n-th of RGB pattern image, sampling unit can be based on rgb value weight Put predetermined partition (240).Specifically, sampling unit can by by the group pixels with the rgb value in preset range by Pixel in same group is set to predetermined partition.
The controller of display device can load next round RGB pattern image (250) from memory, and afterwards by under this One wheel RGB pattern image is shown on the display unit.Display correction device can the RGB pattern image based on display again order Ground performs step 200 to 230.
When the RGB pattern image currently caught is n-th of RGB pattern image, the first communication unit can be by calculating Correction data is sent to the second communication unit (260) of display device, and the second communication unit can be by the correction number of transmission According to be sent to memory with by the correction data of transmission storage in memory (270).
Finally, display device can send control signal by based on the correction data stored in memory to display unit Carry out display image (280).
Fig. 6 is the concept map for showing the generation correction data according to embodiment A3.
Display device can show RGB pattern image.Camera can catch the RGB pattern image of display and will catch afterwards The RGB pattern image caught is converted into picture signal.Image dissector can map the whole region of the RGB pattern image of seizure (TI) rgb value of each pixel.
Further, image dissector can calculate the RGB average values of predetermined a certain region (CI) and characteristic corrector can To be set to the RGB average values for making a reservation for a certain region (CI) to refer to RGB average values, and generate correction data afterwards to show The rgb value for showing on each pixel, which is shown, refers to rgb value.
The display bearing calibration according to embodiment B is described below with reference to Fig. 7 to Figure 11.
Fig. 7 is the block diagram for showing the display correction system 1 according to embodiment B generation correction data 910.
Display unit 600 can show RGB pattern image 980.Specifically, display unit 600 can show that the first RGB schemes Case image (980_1).Camera 200 can catch the first RGB pattern image (980_1) with by the first RGB pattern image of seizure (980_1) is converted into picture signal and the picture signal is sent into sampling unit 250 afterwards.
Sampling unit 250 can sample the rgb value for the first area being included in multiple predetermined partitions, and will adopt afterwards The rgb value of the first area of sample is sent to image dissector 300.The RGB pattern map unit 320 of image dissector 300 can be with Map the rgb value of first area.
RGB estimators 330 can estimate the rgb value for the second area being included in multiple predetermined partitions.Specifically, RGB Estimator 330 can by the rgb value of the first area based on the predetermined partition including second area to be evaluated and The rgb value of the first area of neighbouring another predetermined partition with a predetermined partition, is estimated using linear difference method The rgb value in two regions.The rgb value of each pixel of mapping can be sent to characteristic corrector 400 by image dissector 300.
The RGB comparators 410 of characteristic corrector 400 can compare the rgb value of each pixel and including the pre- of respective pixel Determine the RGB average values of subregion, or compare the rgb value of each pixel and be included in the predetermined partition comprising respective pixel first The RGB average values in region.Put down in addition, RGB comparators 410 can compare the rgb value of each pixel and make a reservation for some region of RGB Average.
Correction data calculator 420 can generate correction data 910 based on the rgb value compared by RGB pattern comparator, with Just the rgb value shown by each pixel, which is shown, refers to rgb value.
Correction data 910 can be such data, and it is generated as the correction for causing each pixel of display device 600 Value is arranged in a matrix.As for correction data 910, the first correction data (910_1) can be by the first RGB pattern image (980_ 1) generate, the second correction data (910_2) can be generated by the second RGB pattern image (980_2), and n-th of correction data (910_n) can be generated by n-th of RGB pattern image (980_n).
That is, when the first correction data (910_1) is generated by the first RGB pattern image (980_1), display device 600 can To generate the second correction data (910_2) by showing the second RGB pattern image (980_2), and so as to display device 600 Next round correction data 910 can be repeatedly generated by showing next round RGB pattern image 980.
Embodiment B can include embodiment B1, embodiment B2, embodiment B3 and embodiment B4.Embodiment B1 can be with Lower situation, wherein the RGB average values of the first area of the rgb value of more each pixel and the predetermined partition including respective pixel, And it will be set to include the RGB average values of the first area of the predetermined partition of respective pixel with reference to rgb value.Embodiment B2 can be with It is scenario described below, the core of wherein predetermined partition is configured to first area.Embodiment B3 can be scenario described below, wherein The upper left of predetermined partition is configured to first area.Embodiment B4 can be scenario described below, wherein, when the predetermined partition Side be not present another predetermined partition when, a certain rgb value is expanded into side.
Fig. 8 is to show the flow chart for being used to generate the method for correction data according to embodiment B1.
Display device can show RGB pattern image.Camera can catch the RGB pattern image (300) of display and it The RGB pattern image of seizure is converted into picture signal afterwards.Sampling unit can sample to the picture signal of first area.
Image dissector can calculate first area included in predetermined partition among the RGB pattern image of seizure Rgb value, and the RGB of first area are average (310).
Image dissector can be estimated to make a reservation for based on the rgb value of the first area neighbouring with second area to be evaluated The rgb value (320) of the second area of subregion.Specifically, between the rgb value in the neighbouring first area of second area The rgb value in two regions can be estimated by using linear difference method.
Characteristic corrector can calculate school based on the rgb value of each pixel and the RGB average values of the first area calculated Correction data (330).That is, by being set to the RGB average values of calculating to refer to rgb value, the rgb value of each pixel can be configured to With reference to rgb value.
Characteristic corrector can determine whether the RGB pattern image currently caught is n-th of RGB pattern image (340).
When the RGB pattern image currently caught is not n-th of RGB pattern image, sampling unit can be based on rgb value weight Put predetermined partition (350).Specifically, sampling unit can by by the group pixels with the rgb value in preset range by Pixel in same group resets to predetermined partition.
The controller of display device can load next round RGB pattern image (360) from memory, and afterwards by under this One wheel RGB pattern image is shown on the display unit.Display correction device can the RGB pattern image based on display again order Ground performs step 300 to 340.
When the RGB pattern image currently caught is n-th of RGB pattern image, the first communication unit can be by calculating Correction data is sent to the second communication unit (370) of display device, and the second communication unit can be by the correction number of transmission According to be sent to memory with by the correction data of transmission storage in memory (380).
Finally, display device can send control to display unit by the correction data based on storage in memory and believe Number carry out display image (390).
Fig. 9 is the concept map for showing the generation correction data according to embodiment B2.
As shown in figure 9, predetermined partition can be the group containing 9 pixels.The core of predetermined partition can be arranged to One region (A1), and part in predetermined partition in addition to first area (A1) can be arranged to second area (A2).
Further, the RGB pattern image of seizure can have 25 predetermined partitions in 225 pixels (pixels of 15x 15) Example, but pixel number and predetermined partition it is in a unlimited number in this.In order to based on RGB pattern image calculate correction data with Correcting display device, can use the pixel of various numbers and the predetermined partition of various numbers.
Specifically, sampling unit can be by using 7th predetermined partition neighbouring with the 13rd predetermined partition (DI_13) (DI_7), the 8th predetermined partition (DI_8), the 9th predetermined partition (DI_9), the 12nd predetermined partition (DI_12), the 14th it is pre- Determine subregion (DI_14), the 17th predetermined partition (DI_17), the 18th predetermined partition (DI_18) and the 19th predetermined partition (DI_ 19) rgb value of the first area of each (A1) in and by using linear difference method, calculates the 13rd predetermined partition (DI_13) rgb value of first area (A1) and estimation are included in the RGB of the second area (A2) in the 13rd predetermined partition Value.
For example, the RGB of the P68 when P78 and the 8th predetermined partition (DI_8) of the 13rd predetermined partition (DI_13) of estimation During value, P78 rgb value and P68 rgb value can be estimated as between P58 rgb value and P88 rgb value with linear poor Rgb value.
Figure 10 is the concept map for showing the generation correction data according to embodiment B3.
As shown in Figure 10, predetermined partition can be the group containing 9 pixels.The upper left of predetermined partition can be arranged to Part in one region (A1) and predetermined partition in addition to first area (A1) can be arranged to second area (A2).
Further, the RGB image pattern of seizure can have 25 predetermined partitions in 225 pixels (pixels of 15x 15) Example, but pixel number and predetermined partition it is in a unlimited number in this.In order to based on RGB pattern image calculate correction data with Correcting display device, can use the predetermined partition of various number of pixels and various numbers.
Specifically, sampling unit can be by using 7th predetermined partition neighbouring with the 13rd predetermined partition (DI_13) (DI_7), the 8th predetermined partition (DI_8), the 9th predetermined partition (DI_9), the 12nd predetermined partition (DI_12), the 14th it is pre- Determine subregion (DI_14), the 17th predetermined partition (DI_17), the 18th predetermined partition (DI_18) and the 19th predetermined partition (DI_ 19) rgb value of respective first area (A1) and by using linear difference method, calculates the 13rd predetermined partition (DI_ 13) rgb value of first area (A1) and estimation are included in the rgb value of the second area (A2) in the 13rd predetermined partition.
For example, the RGB of the P57 when P67 and the 8th predetermined partition (DI_8) of the 13rd predetermined partition (DI_13) of estimation During value, P67 rgb value and P57 rgb value can be estimated as between P47 rgb value and P77 rgb value with linear poor Rgb value.
Figure 11 is the concept map for showing the generation correction data according to embodiment B4.
As shown in figure 11, the side of the RGB pattern image of seizure shows that neighbouring predetermined partition is not enough to by using line Property difference approach estimates the rgb value of second area.Therefore, arbitrary RGB may be needed in the side in the absence of predetermined partition Value.
In this case, RGB estimators can expand to the predetermined partition of downside downside to generate the first virtual region (VI_ 1), and based on the first virtual region (VI_1) rgb value estimate second area rgb value.
In addition, RGB estimators can expand to the predetermined partition on right side on right side to generate the second virtual region (VI_2), and And the rgb value of second area is estimated based on the rgb value of the second virtual region (VI_2).
In addition, RGB estimators can be by the RGB average values of first area included in the predetermined partition of lower right side diagonally Lower right side is expanded to generate the 3rd virtual region (VI_3), and the rgb value based on the 3rd virtual region (VI_3) is estimated The rgb value of second area.
The rgb value and its corresponding rgb value of each pixel are above described according to an embodiment.
The method for being calculated correction data by using matrix will be described according to an embodiment below.
Describe to show the embodiment of bearing calibration below with reference to Figure 12 a and Figure 12 b.
Characteristic corrector 400 can be by using the rgb value, the respective pixel of seizure analyzed by image dissector 300 The seizure environment of position deviation and camera 200 is generated to generate the corrected value of each pixel by using the corrected value Correction data 910.
Specifically, characteristic corrector 400 can calculate absolute light intensity by considering the seizure environment of camera 200, and And the absolute light intensity is applied to rgb value afterwards.Absolute light intensity will be described by equation 1.
[equation 1]
Equation 1 is the equation for calculating absolute intensity.Equation 1 can be directly proportional to the time for exposure, and with sensitivity, With square being inversely proportional for f-number.
The rgb value and the RGB of the whole region of display unit 1000 that characteristic corrector 400 can be based on respective pixel are averaged Value calculates the corrected value of respective pixel.Descriptions thereof will be described by equation 2.
[equation 2]
Corrected value=((rgb value of the RGB pattern image of display)-(rgb value of respective pixel)/(pixel of whole region RGB average values)) * (correction coefficient)
Equation 2 is the RGB average values of the whole region by the rgb value based on respective pixel and display unit 1000 come based on Calculate the equation of corrected value.According to equation 2, corrected value is by being subtracted from the initial RGB values of the RGB pattern image 980 of display One value, and the value is multiplied by into correction coefficient afterwards to obtain, the value subtracting is by by respective pixel The RGB average values of the pixel of rgb value divided by whole region and obtain.
In addition, characteristic corrector 400 can based on respective pixel rgb value and display unit 1000 some region RGB average values calculate the corrected value of respective pixel.Descriptions thereof will be described by equation 3.
[equation 3]
Corrected value=((rgb value of the RGB pattern image of display)-(rgb value of respective pixel)/(pixel in some region RGB average values)) * (correction coefficient)
Equation 3 is the RGB average values in some region by the rgb value based on respective pixel and display unit 1000 come based on Calculate the equation of corrected value.According to equation 3, corrected value is by being subtracted from the initial RGB values of the RGB pattern image 980 of display One value, and the value is multiplied by into correction coefficient afterwards to obtain, the value subtracting is by by respective pixel The RGB average values of the pixel in rgb value divided by some region and obtain.
Figure 12 a are to show the procedure chart for generating correction data 910 by matrix according to an embodiment.
As figure 12 a shows, it can be assumed that in 8 bit RGB pattern images 980, with 5 grades of RGB pattern image 980 It is displayed in display device 600, and display unit 1000 has 25 pixels (5x5 pixels).
As figure 12 a shows, the rgb value caught by camera 200 can be：P11 is that 125, P12 is that 50, P13 is 0 (zero), P14 is that 25, P15 is that 75, P21 is that 200, P22 is that 100, P23 is that 75, P24 is that 50, P25 is that 0, P31 is that 250, P32 is 175, P33 is that 125, P34 is that 100, P35 is that 125, P41 is that 225, P42 is that 175, P43 is that 175, P44 is that 250, P45 is that 175, P51 is 225, P52 be that 175, P53 is that 275, P54 is 375, and P55 is 250.In addition, rgb value is arranged as first with matrix-type Matrix (PM_1).
Image dissector 300 can be by the way that the RGB average values of P33 in the center portion thereof point to be set to refer to rgb value, by phase Answer pixel rgb value divided by the value obtained with reference to rgb value the arrangement in a matrix.For example, the value can be arranged as the second matrix (PM_2), wherein P11 is that 1, P12 is that 0.4, P13 is 0 (zero), and P14 is that 0.2, P15 is that 0.6, P21 is that 1.6, P22 is 0.8, P23 It is that 0.6, P24 is that 0.4, P25 is 0 (zero), P31 is that 2, P32 is that 1.4, P33 is that 1, P34 is that 0.8, P35 is that 1, P41 is 1.8, P42 It is that 1.4, P43 is that 1.4, P44 is that 2, P45 is that 1.4, P51 is that 1.8, P52 is that 1.4, P53 is that 2.2, P54 is 3, and P55 is 2.
Image dissector 300 can be by the reference of the RGB pattern image 980 that the second matrix (PM_2) is multiplied by display Rgb value and the RGB class values of each pixel are aligned in the 3rd matrix (PM_3).For example, the value can be arranged as the 3rd square Battle array (PM_3), wherein P11 is that 5, P12 is that 2, P13 is 0 (zero), and P14 is that 1, P15 is that 3, P21 is that 8, P22 is that 4, P23 is 3, P24 It is that 2, P25 is that 0, P31 is that 10, P32 is that 7, P33 is that 5, P34 is that 4, P35 is that 5, P41 is that 9, P42 is that 7, P43 is that 7, P44 is 10, P45 is that 7, P51 is that 9, P52 is that 7, P53 is that 11, P54 is 15, and P55 is 10.
The RGB class values for calculating each pixel by image dissector 300 will be expressed by equation 4.
[equation 4]
The RGB class values of respective pixel=(rgb value of respective pixel)/(the RGB average values in some region) * be (display The reference rank of RGB pattern image)
According to equation 4, the reference rank of the RGB pattern image 980 of display can be multiplied by a value by image dissector 300 To calculate the RGB class values of respective pixel, the value multiplied is by the way that the RGB in the rgb value of respective pixel divided by some region is put down Average and obtain.
Characteristic corrector 400 can be by the RGB class values based on respective pixel, from the RGB pattern image 980 of display The corrected value of respective pixel is calculated with reference to the RGB class values of respective pixel are subtracted in rank.By by equation 5 describe to its Description.
[equation 5]
The corrected value of respective pixel=(the reference rank of the RGB pattern image of display)-(the RGB class values of respective pixel)
According to equation 5, characteristic corrector 400 can be by subtracting from the reference rank of the RGB pattern image 980 of display The RGB class values of respective pixel calculate corrected value.
But, when the absolute value that corrected value is negative and corrected value is more than with reference to rank, characteristic corrector 400 can be with Corrected value is set to the negative of the other absolute value of reference level.For example, when reference rank is 5, although corrected value actual P53 It is -6, but corrected value can be arranged to -5 by characteristic corrector 400.
In addition, characteristic corrector 400, which can allow reference value being added to, corrects the value being worth to no more than RGB pattern image 980 maximum level.For example, when reference rank is 250 and corrected value is 6, in the environment of 8 bit RGB pattern images 980 In, the corrected value can be configured to 5.
As described above, characteristic corrector 400 can be by the 3rd matrix (PM_3) of application by the corrected value arrangement of calculating For the 4th matrix (PM_4).For example, the value can be arranged as the 4th matrix (PM_4), wherein P11 is 0 (zero), and P12 is+3, P13 It is that+5, P14 is that+4, P15 is that+2, P21 is that -3, P22 is that+1, P23 is that+2, P24 is that+3, P25 is that 5, P31 is that -5, P32 is -2, P33 is that 0, P34 is that+1, P35 is 0 (zero), and P41 is that -4, P42 is that -2, P43 is that -2, P44 is that -5, P45 is that -2, P51 is -4, P52 It is that -2, P53 is that -5, P54 is -5, and P55 is -5.
Figure 12 b are to show the procedure chart for generating correction data 910 by matrix according to another embodiment.
As shown in Figure 12b, it can be assumed that in 8 bit RGB pattern images 980, the RGB pattern image with 5 ranks 980 are displayed in display device 600, and display unit 1000 has 25 pixels (5x5 pixel).
As shown in Figure 12b, the rgb value captured by camera 200 can be that P11 is that 125, P12 is that 50, P13 is 0 (zero), P14 is that 25, P15 is that 75, P21 is that 200, P22 is that 100, P23 is that 75, P24 is that 50, P25 is that 0, P31 is that 250, P32 is 175, P33 is that 125, P34 is that 100, P35 is that 125, P41 is that 225, P42 is that 175, P43 is that 175, P44 is that 250, P45 is that 175, P51 is 225, P52 be that 175, P53 is that 275, P54 is 375, and P55 is 250.Rgb value can be arranged in a matrix, be used as the first square Battle array (PM_1).
Image dissector 300 can be by the way that the center portion thereof point P33 RGB average values to be set to refer to rgb value, will be corresponding The rgb value of pixel divided by the value obtained with reference to rgb value the arrangement are in a matrix.For example, the value can be arranged as the second matrix (PM_2), wherein P11 is that 1, P12 is that 0.4, P13 is 0 (zero), and P14 is that 0.2, P15 is that 0.6, P21 is that 1.6, P22 is 0.8, P23 It is that 0.6, P24 is that 0.4, P25 is 0 (zero), P31 is that 2, P32 is that 1.4, P33 is that 1, P34 is that 0.8, P35 is that 1, P41 is 1.8, P42 It is that 1.4, P43 is that 1.4, P44 is that 2, P45 is that 1.4, P51 is that 1.8, P52 is that 1.4, P53 is that 2.2, P54 is 3, and P55 is 2.
Image dissector 300 can be by the reference of the RGB pattern image 980 that display is multiplied by the second matrix (PM_2) Rgb value and the RGB class values of each pixel are arranged in the 3rd matrix (PM_3).For example, the value can be arranged as the 3rd matrix (PM_3), wherein P11 is that 5, P12 is that 2, P13 is 0 (zero), and P14 is that 1, P15 is that 3, P21 is that 8, P22 is that 4, P23 is that 3, P24 is 2, P25 be 0 (zero), and P31 is that 10, P32 is that 7, P33 is that 5, P34 is that 4, P35 is that 5, P41 is that 9, P42 is that 7, P43 is that 7, P44 is 10, P45 be that 7, P51 is that 9, P52 is that 7, P53 is that 11, P54 is 15, and P55 is 10.
The RGB class values that each pixel is calculated by image dissector 300 will be expressed by equation 6.
[equation 6]
The RGB class values of respective pixel=(rgb value of respective pixel)/(the RGB average values in some region) * be (display The reference rank of RGB pattern image)
According to equation 6, the reference rank of the RGB pattern image 980 of display can be multiplied by a value by image dissector 300 To calculate the RGB class values of respective pixel, a value being multiplied by is by by the rgb value of respective pixel divided by some region Obtained from RGB average values.
Characteristic corrector 400 can be by the RGB class values based on respective pixel, from the RGB pattern image 980 of display The corrected value of respective pixel is calculated with reference to the RGB class values of respective pixel are subtracted in rank.By by equation 7 describe to its Description.
[equation 7]
The corrected value of respective pixel=((the reference rank of the RGB pattern image of display)2/ (the RGB ranks of respective pixel Value))-(the reference rank of the pattern image of display)
According to equation 7, characteristic corrector 400 can be by subtracting from the reference rank of the RGB pattern image 980 of display One value calculates corrected value, and the value subtracted is by by other square of the reference level of the pattern image of display divided by phase Obtained from answering the RGB class values of pixel.
But, when the RGB class values of respective pixel are 0 (zero), characteristic corrector 400 can be arbitrary by setting RGB class values perform correction.
As described above, the corrected value of calculating can be by being arranged as by characteristic corrector 400 using the 3rd matrix (PM_3) 4th matrix (PM_4).For example, the value can be arranged as the 4th matrix (PM_4), wherein, P11 is 0 (zero), and P12 is+7.5, P13 is 0 (zero), and P14 is that+20.0, P15 is that+3.3, P21 is that -1.9, P22 is that+1.3, P23 is that+3.3, P24 is that+7.5, P25 is 0 (zero), P31 is that -2.5, P32 is that -1.4, P33 is 0 (zero), and P34 is that+1.3, P35 is 0 (zero), P41 be -2.2, P42 be - 1.4, P43 be that -1.4, P44 is that -2.5, P45 is that -1.4, P51 is that -2.2, P52 is that -1.4, P53 is that -2.7, P54 is -3.3, with And P55 is -2.5.
Above according to an embodiment describe display correction system bearing calibration, wherein the pattern image caught and Relation between the pattern image of display is determined in advance.
It will be described setting the pattern image caught and display by using position pattern image according to an embodiment below Pattern image between relation after show the bearing calibration of correction system.
Figure 13 is to show the flow chart for being used to generate the method for correction data according to embodiment C.
Display device can be with display location pattern image.Camera can catch the position pattern image (400) of display and The position pattern image of seizure is converted into picture signal afterwards.Image dissector can pass through the spy based on position pattern image Levy the position pattern image for a little comparing display and the position pattern image caught to calculate deviation, so as to recognize caught display The position (410) of the pixel of unit in the picture.
Display device can show RGB pattern image.Camera can catch the RGB pattern image (420) of display and it The RGB pattern image of seizure is converted into picture signal afterwards.Image dissector can calculate rgb value and the seizure of each pixel RGB average values (430) of the whole region of RGB pattern image and afterwards by described two come comparison corresponding to each pixel Value.Characteristic corrector can generate correction data based on the rgb value of each pixel and the RGB average values of calculating.That is, by inciting somebody to action The RGB average values of calculating are set to refer to rgb value, and the rgb value of each pixel can be configured to refer to rgb value.
Characteristic corrector can determine whether the RGB pattern image currently caught is n-th of RGB pattern image (440).
When the RGB pattern image currently caught is not n-th of RGB pattern image, the controller of display device can be from Memory loading next round RGB pattern image (450), and the next round RGB pattern image is shown afterwards.Display correction device Step 420 to 440 can be performed RGB pattern image sequence based on display.
When the RGB pattern image currently caught is n-th of RGB pattern image, the first communication unit can be by calculating Correction data is sent to the second communication unit (460) of display device, and the second communication unit can be by the correction number of transmission According to be sent to memory with by the correction data of transmission storage in memory (470).
Finally, display device can send control to display unit by the correction data based on storage in memory and believe Number carry out display image (480).
Figure 14 a to Figure 14 g show the embodiment of position pattern image.
Position pattern image (PI) is for recognizing the position of the pixel of display in the display and being shown in the figure of seizure As in pixel position between deviation, compare its rgb value and calculate the pattern image of correction data.
As shown in Figure 14 a to Figure 14 g, position pattern image (PI) is the image of wherein existing characteristics point, specifically, point, Line or the characteristic point of face form can regularly or irregularly be present in position pattern image (PI).
Above described according to an embodiment for generating correction data in the method for correcting display device.
The rgb value of display device explained below that wherein calculate correction data according to an embodiment.
The change of rgb value before and after correcting display device is described below with reference to Figure 15 a to Figure 16 b.
Figure 15 a are the scatter charts for showing the rgb value of display device before the correction according to an embodiment, and are schemed 15b is the scatter chart for the rgb value for showing the correction rear indicator according to an embodiment.
Figure 15 a and Figure 15 b show the curve map of rgb value on two varying level axles, wherein 8 ratios on the display unit The RGB pattern gray level image in special RGB pattern image with 65 ranks is shown.
As shown in fig. 15 a, the rgb value of the RGB pattern image caught before correcting can have the rgb value of wherein core The high and low shape of the rgb value of opposed side portions.That is, rgb value has wherein vertical and water not according to the position of trunnion axis The unified value of flat RGB characteristics.
But, as illustrated in fig. 15b, the rgb value of the RGB pattern image caught after correction can have wherein vertically and horizontally The unified value of RGB characteristics.Further, gamma characteristic can have similar characteristics according to position.
Figure 16 a are the scatter charts for showing the rgb value of display device before the correction according to another embodiment, and are schemed 16b is the scatter chart for the rgb value for showing the correction rear indicator according to another embodiment.
Figure 16 a and Figure 16 b show curve map of the rgb value on 4 different vertical axles, 8 ratios wherein on display unit The RGB pattern gray level image in special RGB pattern image with 65 ranks is shown.
As illustrated in fig 16 a, the rgb value of the RGB pattern image of seizure can have the RGB of wherein core before correction Value is high and the low shape of the rgb value of opposed side portions.That is, rgb value not according to vertical axis position and with wherein vertical and The unified value of horizontal RGB characteristics.
But, as shown in fig 16b, the rgb value of the RGB pattern image of seizure can have wherein vertical and water after calibration The unified value of flat RGB characteristics.Further, gamma characteristic can have similar characteristics according to position.
System is corrected according to the display of another embodiment below with reference to Figure 17 descriptions.
Figure 17 is the perspective view for showing the display correction system that correction data is generated in display correction device.
Show that correction system 1 can include camera 200, communication accessory (assembly) 160, input 750 and display device 600。
Camera 200 can be configured as catching display pattern image 950 over the display and by the image of seizure It is converted into the component of picture signal, wherein camera 200 can be identical or different with camera 200 shown in Fig. 1 to Fig. 2 c.
Communication accessory 160 can send data to camera 200 and receive data from camera 200 to be connected to camera 200 Display device 600.
Specifically, communication accessory 160 can include first communication module 510 and similar with the first communication unit 500 the One COM1 520, and communicated via wiredly and/or wirelessly communication with camera 200 and display device 600.For example, communication is matched somebody with somebody Part 160 can receive the pattern image 950 caught by camera 200 in the form of picture signal, and afterwards by the picture signal Display device 600 is supplied to allow to generate correction data.Further, communication accessory 160 can send control letter to camera 200 Number pattern image 950 for catching the display so as to the time point camera 200 of pattern image 950 shown on display display. In addition, communication accessory 160 can receive time for exposure, sensitivity (ISO) and the light of camera 200 when catching pattern image 950 Circle value (F#), and generated afterwards when generating correction data 910 using time for exposure, sensitivity (ISO) and f-number (F#) Correction data.
Communicating the communication means and type of accessory 160 can be identical or different with the first communication unit 500 shown in Fig. 1.
Input 750 can control display device 600 by the way that the order from user is converted into input signal.Specifically Ground, as shown in figure 17, input 750 can carry out the remote control equipment of remote control.User can recognize and be shown in Correction in display device 600 notifies image and determines whether generation correction data 910 to be sent to display via input 750 Device 600.
The image that display device 600 can pass through obtained by the image for catching display with display image and receiving generates school Correction data 910.
Specifically, display device 600 can include memory 900, display unit 1000 and controller 800.
Memory 900 and display unit 1000 shown in Figure 17 can be with the memories 900 and display unit shown in Fig. 1 1000 is identical or different.
Controller 800 can receive the pattern image 950 caught by camera 200 and map the rgb value of each pixel.Control Device 800 processed can be based on mapping rgb value generation correction data 910 with by the equilibrium of the rgb value of each pixel to refer to rgb value, And correction data 910 is applied to display unit 1000 afterwards.
Figure 17 controller 800 can include display controller 810 and master controller 820 same as shown in Figure 1.Enter one Step, Figure 17 controller 800 can include sampling unit 250 same as shown in Figure 1, image dissector 300 and characteristic correction Device 400.
By using can be by communicating and generating the display device 600 of correction data 910 with camera 200, user can be with The deviation of picture quality caused by the use accumulated after detection shipment, and correct the deviation detected.
Specifically, the aging of the display device 600 caused by the use accumulated after shipment and display device 600 Vibrations caused by mobile, it may occur that the difference for the rgb value being shown in display device 600.In order to correct rgb value Difference, can detect the difference of rgb value by the way that the communication being connected with display device 600 accessory 160 is connected into camera 200. In the case, when the controller 800 of display device 600 determines that the difference of the rgb value detected is equal to or more than indicate needs During the predetermined value of correction, controller 800 can show that correction notifies image (AI) in display device 600, as shown in figure 17.
Therefore, user can recognize the rgb value being shown in display device 600 deviation exist and thus need school Just.As needed, user can generate correction data 910 by display pattern image 950, with balanced display device 600 The deviation of rgb value.
Although having shown that and describing a small amount of embodiment of the disclosure, it will be understood by those skilled in the art that not departing from , can be to these embodiments in the case that its scope is limited to the principle and spirit of the disclosure in claim and its equivalent It is changed.

Claims (34)

1. a kind of display correction device, comprising：
Camera, is configured as catching the pattern image of display on the display apparatus；
Image dissector, is configured as calculating the rgb value of the pattern image caught；And
Characteristic corrector, is configured as the rgb value of the RGB average values based on calculating and each pixel to correct the display dress Put, so that each pixel shows the average value calculated.
2. display correction device as claimed in claim 1, wherein
Rgb value correction of the characteristic corrector based on the RGB average values and each pixel for making a reservation for some region display dress Put.
3. display correction device as claimed in claim 1, wherein
The rgb value of RGB average value and each pixel of the characteristic corrector based on multiple predetermined partitions corrects the display Device.
4. display correction device as claimed in claim 1, wherein
Described image analyzer calculates the rgb value of first area in multiple predetermined partitions, and the estimation of the rgb value based on calculating institute State the rgb value of second area in predetermined partition.
5. display correction device as claimed in claim 4, wherein
Described image analyzer is included in including the second area to be evaluated by using the estimation of linear difference method The neighbouring another predetermined partition in a predetermined partition in first area rgb value and be included in a predetermined partition First area rgb value.
6. display correction device as claimed in claim 1, wherein
Pattern image described in the cameras capture is without focusing on the pattern image.
7. a kind of display device, comprising：
Display unit, is configured as display pattern image；And
Memory, is configured as the pattern image of storage display and allows the pixel of the display unit to show unified rgb value Correction data.
8. display device as claimed in claim 7, wherein
The pattern image includes position pattern image and RGB pattern image, and the position pattern image is shown in for matching The position of image on the display unit and the position of the image of cameras capture, the RGB pattern image are used to generate and allowed The pixel of the display unit shows the correction data of unified rgb value.
9. display device as claimed in claim 7, is further included：
Communication unit, is configured as receiving by outside display correction device via at least one of wire communication and radio communication The correction data calculated.
10. display device as claimed in claim 7, wherein
The correction data includes the deviation for making a reservation for some region of corrected value and another region.
11. one kind shows correction system, comprising：
Display device, is configured as display pattern image；And
Display correction device, comprising：
Camera, catches the pattern image of display,
Image dissector, calculates the rgb value of the pattern image caught, and
Characteristic corrector, the rgb value generation of RGB average values and each pixel based on calculating allows each pixel to show what is calculated The correction data of average value.
12. correction system is shown as claimed in claim 11, wherein
The characteristic corrector generates correction data based on the rgb value for making a reservation for some region of RGB average values and each pixel.
13. correction system is shown as claimed in claim 11, wherein
The rgb value generation correction data of RGB average value and each pixel of the characteristic corrector based on multiple predetermined partitions.
14. correction system is shown as claimed in claim 11, wherein
Described image analyzer calculates the rgb value of first area in multiple predetermined partitions, and the estimation of the rgb value based on calculating institute State the rgb value of second area in predetermined partition.
15. correction system is shown as claimed in claim 14, wherein
Described image analyzer is based on being included in and neighbouring another in a predetermined partition including the second area to be evaluated The rgb value of first area in one predetermined partition and the rgb value for being included in first area in a predetermined partition, pass through The rgb value of the second area is estimated using linear difference method.
16. correction system is shown as claimed in claim 15, wherein
When another predetermined partition does not exist in the side of a predetermined partition, described image analyzer passes through by described in One predetermined partition expands to side to estimate the rgb value of the second area.
17. correction system is shown as claimed in claim 15, wherein
When another predetermined partition does not exist in the side of a predetermined partition, described image analyzer will be by that will include The rgb value of first area in a predetermined partition expands to side to estimate the rgb value of the second area.
18. correction system is shown as claimed in claim 17, wherein
The RGB for being extended to the first area that the rgb value of the side is included in a predetermined partition is put down Average.
19. correction system is shown as claimed in claim 13, wherein
By according to the rgb value precalculated in preset range by group pixels, to reset the predetermined partition.
20. correction system is shown as claimed in claim 11, wherein
The pattern image includes position pattern image and RGB pattern image, and the position pattern image is shown in for matching The position of image in the display device and the position of the image of cameras capture, the RGB pattern image are used to generate and allowed The pixel of the display device shows the correction data of unified rgb value.
21. correction system is shown as claimed in claim 20, wherein
In the multiple RGB pattern images of RGB pattern graphical representation, the multiple RGB pattern image, R values, G values and B values are tools There is the different value of predetermined ratio.
22. correction system is shown as claimed in claim 21, wherein
The multiple RGB pattern graphical representation, R values, G values and B values are identicals in a RGB pattern image, but in another RGB R values, G values and B values have different value in pattern image.
23. correction system is shown as claimed in claim 21, wherein
The multiple RGB pattern image remaining identical RGB pattern comprising wherein any one of R values, G values and B values difference Image.
24. correction system is shown as claimed in claim 21, wherein
By corresponding to the multiple RGB pattern image, calculating the correction data.
25. correction system is shown as claimed in claim 11, wherein
Pattern image described in the cameras capture is without focusing on the pattern image.
26. correction system is shown as claimed in claim 11, wherein
The correction data includes the deviation for making a reservation for some region of corrected value and another region.
27. correction system is shown as claimed in claim 11, wherein
The display device further includes communication unit, and it is configured as via at least one in wire communication and radio communication Person receives the correction data calculated by the characteristic corrector.
28. one kind shows bearing calibration, comprising：
Display pattern image；
The rgb value of caught pattern image is calculated by catching the pattern image of display；And
The rgb value of RGB average values and each pixel based on calculating is corrected to allow being averaged for each pixel display calculating Value.
29. display bearing calibration as claimed in claim 28, wherein
Based on the rgb value for making a reservation for some region of RGB average values and each pixel, the correction is performed.
30. display bearing calibration as claimed in claim 28, wherein
The rgb value of RGB average values and each pixel based on multiple predetermined partitions, performs the correction.
31. display bearing calibration as claimed in claim 28, wherein
The calculating of rgb value, calculates the rgb value of first area in multiple predetermined partitions, and the estimation of the rgb value based on calculating The rgb value of second area in the predetermined partition.
32. display bearing calibration as claimed in claim 31, wherein
Based in the neighbouring another predetermined partition in the predetermined partition for being included in including the second area to be evaluated The rgb value of first area and the rgb value for the first area being included in a predetermined partition, by using linear difference Method estimates the rgb value of the second area.
33. display bearing calibration as claimed in claim 30, wherein
By according to the rgb value precalculated in preset range by group pixels, to reset the predetermined partition.
34. display bearing calibration as claimed in claim 28, wherein
The pattern image includes position pattern image and RGB pattern image, and the position pattern image is used to match display The position of image and the position of the image caught, the RGB pattern image are used to be corrected to allow the display device Each pixel shows unified rgb value.
CN201580053649.2A 2014-07-31 2015-05-07 Display device, display correction device, display correction system and display bearing calibration Active CN107113412B (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
KR10-2014-0098497 2014-07-31
KR1020140098497A KR102233316B1 (en) 2014-07-31 2014-07-31 Display apparatus, display correction appratus, display correction system and display correction method
PCT/KR2015/004546 WO2016017906A1 (en) 2014-07-31 2015-05-07 Display device, display correction device, display correction system, and display correction method

Publications (2)

Publication Number Publication Date
CN107113412A true CN107113412A (en) 2017-08-29
CN107113412B CN107113412B (en) 2019-06-14

Family

ID=55217765

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201580053649.2A Active CN107113412B (en) 2014-07-31 2015-05-07 Display device, display correction device, display correction system and display bearing calibration

Country Status (4)

Country Link
KR (1) KR102233316B1 (en)
CN (1) CN107113412B (en)
GB (1) GB2543456B (en)
WO (1) WO2016017906A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108377369A (en) * 2018-02-05 2018-08-07 中国科学院长春光学精密机械与物理研究所 The Binning methods of Bayer format coloured image

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180078713A (en) 2016-12-30 2018-07-10 삼성전자주식회사 Display apparatus and method for displaying
KR101747405B1 (en) 2017-01-06 2017-06-15 주식회사 브이오 De-Mura Amendment Method of Display Panel
WO2022045769A1 (en) * 2020-08-26 2022-03-03 삼성전자 주식회사 Electronic device for adjusting picture quality of display device, and operation method thereof

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2704170Y (en) * 2004-06-22 2005-06-08 浙江大学 Apparatus for improving projection display colour homogeneity
CN101022564A (en) * 2007-03-26 2007-08-22 北京中星微电子有限公司 Method, device and computer for adjusting image color
US20080285878A1 (en) * 2003-06-02 2008-11-20 Casio Computer Co., Ltd. Image capturing apparatus and method for correcting captured image
KR20110016154A (en) * 2009-08-11 2011-02-17 엘지이노텍 주식회사 Calibration method of display device using camera module
CN201904067U (en) * 2010-11-15 2011-07-20 深圳市洲明科技股份有限公司 Nonuniform point-by-point correction system for full-color LED display screen
JP2012211962A (en) * 2011-03-30 2012-11-01 Kyocera Document Solutions Inc Color image forming apparatus
CN202711664U (en) * 2012-07-30 2013-01-30 西安诺瓦电子科技有限公司 Led display screen correction system
CN103413526A (en) * 2013-08-19 2013-11-27 西安诺瓦电子科技有限公司 Correction method for LED lamp panel of LED display screen
CN103489405A (en) * 2013-09-30 2014-01-01 京东方科技集团股份有限公司 Method, device and system for compensating displaying

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4547208B2 (en) * 2004-08-02 2010-09-22 富士フイルム株式会社 Display calibration method, calibration apparatus, calibration table and program
KR101194083B1 (en) * 2005-11-16 2012-10-24 삼성전자주식회사 Method and Apparatus for adjusting White Balance in a Digital Image Device
KR20090104433A (en) * 2008-03-31 2009-10-06 삼성디지털이미징 주식회사 Method for operating digital image processing device having color calibration function

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080285878A1 (en) * 2003-06-02 2008-11-20 Casio Computer Co., Ltd. Image capturing apparatus and method for correcting captured image
CN2704170Y (en) * 2004-06-22 2005-06-08 浙江大学 Apparatus for improving projection display colour homogeneity
CN101022564A (en) * 2007-03-26 2007-08-22 北京中星微电子有限公司 Method, device and computer for adjusting image color
KR20110016154A (en) * 2009-08-11 2011-02-17 엘지이노텍 주식회사 Calibration method of display device using camera module
CN201904067U (en) * 2010-11-15 2011-07-20 深圳市洲明科技股份有限公司 Nonuniform point-by-point correction system for full-color LED display screen
JP2012211962A (en) * 2011-03-30 2012-11-01 Kyocera Document Solutions Inc Color image forming apparatus
CN202711664U (en) * 2012-07-30 2013-01-30 西安诺瓦电子科技有限公司 Led display screen correction system
CN103413526A (en) * 2013-08-19 2013-11-27 西安诺瓦电子科技有限公司 Correction method for LED lamp panel of LED display screen
CN103489405A (en) * 2013-09-30 2014-01-01 京东方科技集团股份有限公司 Method, device and system for compensating displaying

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
蒲华: "LED显示屏检测技术研究与实现", 《中国优秀硕士学位论文（信息科技辑）》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108377369A (en) * 2018-02-05 2018-08-07 中国科学院长春光学精密机械与物理研究所 The Binning methods of Bayer format coloured image

Also Published As

Publication number Publication date
GB2543456B (en) 2020-12-16
WO2016017906A1 (en) 2016-02-04
GB201701378D0 (en) 2017-03-15
KR102233316B1 (en) 2021-03-29
GB2543456A (en) 2017-04-19
CN107113412B (en) 2019-06-14
KR20160015789A (en) 2016-02-15

Similar Documents

Publication Publication Date Title
US9451173B2 (en) Electronic device and control method of the same
CN107438163B (en) Photographing method, terminal and computer readable storage medium
KR101762081B1 (en) Automatic white balancing with skin tone correction for image processing
CN107302663B (en) Image brightness adjusting method, terminal and computer readable storage medium
CN108605099B (en) Terminal and method for terminal photographing
CN107113412B (en) Display device, display correction device, display correction system and display bearing calibration
CN108391060B (en) Image processing method, image processing device and terminal
CN107948733B (en) Video image processing method and device and electronic equipment
CN107077721B (en) Global matching of multiple images
CN108616700B (en) Image processing method and device, electronic equipment and computer readable storage medium
CN107395991B (en) Image synthesis method, image synthesis device, computer-readable storage medium and computer equipment
JP2015053057A (en) Method and associated apparatus for correcting color artifact of image
US20200090309A1 (en) Method and device for denoising processing, storage medium, and terminal
CN107704798B (en) Image blurring method and device, computer readable storage medium and computer device
EP3674967A1 (en) Image signal processing method, apparatus and device
US9367916B1 (en) Method and system of run-time self-calibrating lens shading correction
CN103065290A (en) Device and method for correcting skin color in photo
US8542919B2 (en) Method and system for correcting lens shading
CN108200352B (en) Method, terminal and storage medium for adjusting picture brightness
CN112055190A (en) Image processing method, device and storage medium
CN111510698A (en) Image processing method, device, storage medium and mobile terminal
CN110097520B (en) Image processing method and device
CN107454340B (en) Image synthesis method and device based on high dynamic range principle and mobile terminal
KR101437911B1 (en) Method and apparatus for enhancing dynamic range
CN108401119B (en) Image processing method, mobile terminal and related medium product

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