CN107113412B

CN107113412B - Display device, display correction device, display correction system and display bearing calibration

Info

Publication number: CN107113412B
Application number: CN201580053649.2A
Authority: CN
Inventors: 金哲永; 曹在鹤; 李承宰; 李瑾范; 全成浩
Original assignee: Samsung Electronics Co Ltd
Current assignee: Samsung Electronics Co Ltd
Priority date: 2014-07-31
Filing date: 2015-05-07
Publication date: 2019-06-14
Anticipated expiration: 2035-05-07
Also published as: CN107113412A; GB2543456B; KR20160015789A; WO2016017906A1; KR102233316B1; GB2543456A; GB201701378D0

Abstract

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

Description

Display device, display correction device, 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 correction display, display correction device, shows Show correction system and display bearing calibration.

Background technique

As liquid crystal display device (LCD) becomes much larger and is bent, mura defect is (that is, contrast type defect and image Quality distortion) size and occurrence frequency increase.Term mura refers to stain (smudge) in Japanese, mean when with Constant greyscale show the shape at a certain region midpoint, line or face when entire screen in brightness or color with peripheral region differently The defect of display.

The bending face LCD is bent to during Mura may realize LCD panel in a display device or by flat LCD panel It is generated during plate.Specifically, mura can by the uniformity of thickness of liquid crystal, pressure distribution, Temperature Distribution, light polarizing film position The difference of the thickness or width of setting orientation characteristic (characteristic) and transparent electrode circuit generates, and it may cause Situation be to also show different output even if being supplied to the identical input signal of display device.Moreover, mura can manufactured In the process, it is generated when applying the panel of manufacture to display device, or the heat generated by the light source of the backlight in complete product It generates.Therefore, for the display device, need to correct mura's after gamma (gamma) correction before shipment or during manufacture Operation.

About the correction of mura, the method in the region mura that only correction is arrived by capture pattern (pattern) image detection A large amount of calculating may be needed, and therefore can increase the period of correction mura.In addition, correction mura timing, it is necessary to Execute many calculating and detect the region mura generated mura only to correct by capturing pattern image, and there are the problem of It is to extend mura correction time.In addition, More (moir é) figure is removed using high resolution camera when capturing pattern image Case may cause the price for increasing display correction device.Therefore, recently, the research for correction mura defect has actively been carried out.

Summary of the invention

[technical problem]

Therefore, the aspect of the disclosure, which will be provided, is just corrected to the rgb value of display unified rgb value without detecting mura Display device, display correction device, display correction system and display bearing calibration.

[technical solution]

According to the aspect of the disclosure, provide display correction device comprising: camera, be configured as capture be shown in it is aobvious Pattern image on showing device；Image dissector is configured as calculating the rgb value of the pattern image captured；And characteristic correction Device is configured as the rgb value of the RGB average value 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 is based on making a reservation for the rgb value of some region of RGB average value and each pixel come correction display Device.

Also, the rgb value correction display of RGB average value and each pixel of the characteristic corrector based on multiple predetermined partitions fills It sets.

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 based on include with neighbouring another in a predetermined partition that includes second area to be evaluated The rgb value of first area in one predetermined partition and include the first area in a predetermined partition rgb value, pass through Use the rgb value of linear interpolation method estimation second area.

Also, cameras capture pattern image is without focus pattern image.

According to the aspect of the disclosure, display device is provided comprising: display unit is configured as display pattern image； And memory, the pixel of the pattern image and permission display unit that are configured as storage display 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 allows for generating The pixel of display unit shows the correction data of unified rgb value.

Also, communication unit is configured as receiving via at least one of wire communication and wireless communication and be shown by outside The correction data that means for correcting calculates.

Also, correction data includes to make a reservation for the deviation of some region of corrected value and another region.

According to the aspect of the disclosure, display correction system is provided comprising: display device is configured as display pattern Image；And display correction device, include: camera captures the pattern image of display；Image dissector calculates the pattern of capture The rgb value of image；And characteristic corrector, the rgb value of RGB average value and each pixel based on calculating, which generates, allows each picture The correction data for the average value that element display calculates.

Also, characteristic corrector generates correction number based on the rgb value for making a reservation for some region of RGB average value and each pixel According to.

Also, the rgb value of RGB average value and each pixel of the characteristic corrector based on multiple predetermined partitions generates correction number According to.

Also, image dissector based on include with neighbouring another in a predetermined partition that includes second area to be evaluated The rgb value of first area in one predetermined partition and include the first area in a predetermined partition rgb value, lead to Cross the rgb value using linear difference method estimation second area.

Also, when another predetermined partition does not exist in the side of a predetermined partition, image dissector passes through One predetermined partition is expanded into 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, the RGB that the rgb value for being extended to the side is included in first area in a predetermined partition is average 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, and 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 allows for generating The pixel of display device shows the correction data of unified rgb value.

Also, RGB pattern image indicates multiple RGB patterns of the wherein different value of R value, G value and B value with predetermined ratio Image.

Also, multiple RGB pattern images indicate that R value, G value and B value are identical in a RGB pattern image, but another R value, G value and B value have different value in one RGB pattern image.

Also, multiple RGB pattern images remaining identical RGB comprising wherein any one of R value, G value and B value 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, display device further includes communication unit, is configured as via in wire communication and wireless communication At least one receives the correction data calculated by characteristic corrector.

According to the aspect of the disclosure, display bearing calibration is provided, comprising: display pattern image；By capturing display Pattern image calculates the rgb value of the pattern image of capture；And the rgb value of the RGB average value and each pixel based on calculating It is corrected the average value to allow each pixel display to calculate.

Here, correction is executed based on the rgb value for making a reservation for some region of RGB average value and each pixel.

Also, the rgb value of RGB average value and each pixel based on multiple predetermined partitions executes 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 include with the neighbouring another predetermined partition in a predetermined partition that includes second area to be evaluated In first area rgb value and include the first area in a predetermined partition rgb value, by using linear Difference approach estimates the rgb value of second area.

Also, pattern image includes position pattern image and RGB pattern image, and the position pattern image is aobvious for matching The position of the image of the position and capture of the image shown, the RGB pattern image is for correcting to allow each of display device Pixel shows unified rgb value.

[beneficial effect]

If above-mentioned institute is obvious, according to the display device of proposition, display correction device, display correction system and display correction side Method, without using high-performance phase machine testing mura can correcting display device, thus the display device without change gamma song Line can show unified rgb value.

Detailed description of the invention

In conjunction with attached drawing, from the following description, these and/or other aspects of the disclosure be will become apparent and more It is readily appreciated that, in attached drawing:

Fig. 1 is to show the configuration block diagram of the display correction system according to an embodiment.

Fig. 2 a is to show the outside drawing that system is corrected according to the display of an embodiment.

Fig. 2 b is to show the outside drawing of display correction system according to another embodiment.

Fig. 2 c is to show the outside drawing of the display correction system according to another embodiment of replacement.

Fig. 3 is to show the configuration block diagram of the display correction system according to the generation correction data of embodiment A.

Fig. 4 is to show the flow chart of the method for generating correction data according to embodiment A1.

Fig. 5 is to show the flow chart of the method for generating correction data according to embodiment A2.

Fig. 6 is to show the concept map of the generation correction data according to embodiment A3.

Fig. 7 is to show the block diagram of the display correction system 1 according to the generation correction data 910 of embodiment B.

Fig. 8 is to show the flow chart of the method for generating correction data according to embodiment B1.

Fig. 9 is to show the concept map of the generation correction data according to embodiment B2.

Figure 10 is to show the concept map of the generation correction data according to embodiment B3.

Figure 11 is to show the concept map of the generation correction data according to embodiment B4.

Figure 12 a is the procedure chart that correction data 910 is generated by matrix shown according to an embodiment.

Figure 12 b is the procedure chart that correction data 910 is generated by matrix shown according to another embodiment.

Figure 13 is to show the flow chart of the method for generating correction data according to embodiment C.

Figure 14 a shows the embodiment of position pattern image.

Figure 14 b shows another embodiment of position pattern image.

Figure 14 c shows another embodiment of position pattern image.

Figure 14 d shows another embodiment of position pattern image.

Figure 14 e shows another embodiment of position pattern image.

Figure 14 f shows another embodiment of position pattern image.

Figure 14 g shows another embodiment of position pattern image.

Figure 15 a is the scatter chart of the rgb value of display device before showing the correction according to an embodiment.

Figure 15 b is to show the scatter chart of the rgb value of the correction rear indicator according to an embodiment.

Figure 16 a is the scatter chart of the rgb value of display device before the correction shown according to another embodiment.

Figure 16 b is to show the scatter chart of the rgb value of correction rear indicator according to another embodiment.

Figure 17 is to show the perspective view for the display correction system that correction data is generated in display correction device.

Specific embodiment

It lets 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 detailed description of general technology relevant to embodiment of the disclosure or structure may not be necessary ground mould 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 changes.Therefore, term used in the following embodiment 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.

In addition, although the configuration of the aspect of the embodiment selectively described or the embodiment selectively described is by the accompanying drawings It is shown as the configuration individually integrated, it is to be understood that the configuration is to be combined with each other, unless technical detail is common for this field What technical staff will be apparent from.

Display device, display correction device, display correction system are described hereinafter with reference to attached drawing and show bearing calibration 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 to show the configuration block diagram of display correction system.

Display correction system 1 can capture the pattern image 950 being shown in display device 600, the image for comparing capture Rgb value and by each pixel equilibrium of display device 600 be a certain rgb value.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 may include: display correction device 100, be configured as by capturing pattern figure Correction data 910 is generated as 950 and is configured as the rgb value of image of the correction display in display device 600；And display Device 600 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 capture the pattern image 950 being shown in display device 600 to generate correction data 910, and the rgb value for being configured as the pattern image 950 that will be captured is corrected to unified rgb value.

Specifically, the position pattern image that display correction device 100 can capture position pattern image 960, calculate display Deviation (deviation), capture RGB pattern image 980 between 960 and the position pattern image 960 of capture, generation correction number According to 910 with by the rgb value equilibrium of each pixel of display device 600 for a certain rgb value, and correcting display device 600.This Outside, display correction device 100 may include camera 200, sampling unit 250, image dissector 300, characteristic corrector 400 and One communication unit 500.

Camera 200 can capture the pattern image 950 being shown in display device 600 and the pattern image that will be captured 950 are converted to picture signal.In addition, camera 200 can be detected when capturing pattern image 950 capture environment and it is rear to figure As analyzer 300 sends the capture environment.For example, camera 200 can detecte 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, it due to the variation of illumination or sweep speed around display device 600, is likely to occur in the pattern image 950 of capture Band-like noise or flashing, and in addition, noise may be still increased although increasing sensitivity when capturing dark image.Therefore, Time for exposure may need to be longer than the predetermined time.For example, the time for exposure needed equal or longer than 0.0005 second.

In addition, camera 200 can be placed at the position far 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 capturing same display device 600 to generate, correction data 910 can be generated by using predetermined 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 the following operations need to be performed: catching position pattern image 960 and 960 He of position pattern image for calculating display Deviation between the position pattern image 960 of capture.

It is used as camera 200 with high-resolution high-performance camera, and there is the low performance camera of low resolution It is used as camera 200.It includes in the display device to be captured that high-performance camera 200, which can represent possessed pixel to be more than, 5 times of camera of the pixel in 600, and low performance camera 200 can represent possessed by pixel lower than being included in and to be captured Display device 600 in pixel 1/5 camera.In addition, the CCD and CMOS using silicon semiconductor are used as camera 200 Sensor, but not limited to this.Various sensors can be used for the sensor of camera 200.

When capturing pattern image 950, camera 200 can be focused only on pattern without focusing on pattern image 950 Pattern image 950 is captured while the front surface or rear surface of image 950.

The RGB camera 200 for the whole being configured as in identification R value, G value and B value is configured as identification R value, G value and B Mono (monochrome) camera 200 of any one of value is used as camera 200.Type dependent on camera 200 is (that is, RGB camera 200 or mono camera 200), it can determine the type or number of RGB pattern image 980 to be captured.

Alternatively, digital camera 200 or analogue camera 200, such as film camera 200 or Polaroid (polaroid) camera 200, it is used as camera 200, wherein scanner is required that the image of capture is converted to digital letter using analogue camera 200 Number.Alternatively, the mobile electronic device with camera 200 can capture pattern image by using application processor (AP) 950 and generate correction data 910.Further, camera 200 can be camera model.Camera 200 can be fixed tripod with solid Determine the position of camera 200 and prevents camera 200 mobile.

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 image dissector 300 is sent by the rgb value of calculating, 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 be by according to the rgb value of pattern image 950 and estimation previously measured The similarity of rgb value group areas is determined to scheduled subregion (division region).Specifically, sampling unit 250 It can be by the way that predetermined partition be arranged in the group pixels for the rgb value having in preset range.

The rgb value that image dissector 300 can receive the pattern image 950 of capture or sampling unit 250 samples, mapping are aobvious Deviation between the pattern image 950 shown and the pattern image 950 captured, and map the rgb value of each pixel.In addition, figure As analyzer 300 can include the rgb value of the pixel in the region not sampled based on the estimation of the rgb value of sampling.

Specifically, image dissector 300 may include position pattern map unit 310,320 and of RGB pattern map unit RGB estimator 330.

Position pattern map unit 310 can analyze the position for the capture 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 capture Deviation.

Specifically, position pattern map unit 310 can extract position pattern figure based on the pattern of 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 later The distance between the characteristic point of placing graphic pattern image 960 and the characteristic point of position pattern image 960 of capture and direction.

For example, when the position pattern being shown in the display device with curved shape 600 is captured in two dimension from front side When image 960, the position pattern image 960 of capture can have hourglass shape in the plane.That is, the position pattern image captured 960 can have following shape, and it is that the height at center of curve and horizontal sides is less than water that wherein vertical edges, which are straight line, horizontal sides, The height of the opposite side of pingbian.In this case, being placed on uncorrelated position when executing timing by display RGB pattern image 980 The pixel at the place of setting can be corrected.Therefore, position pattern map unit 310 can calculate the position pattern image 960 of display and catch The deviation between position pattern image 960 caught, and the deviation is considered when generating correction data 910 later.

It is single that RGB pattern map unit 320 can map display based on the picture signal of the RGB pattern image 980 of capture The rgb value shown in each pixel of member 1000.

Rgb value can indicate in three of color distributions and red corresponding R value, with green corresponding G value and with blue The combination of corresponding B value.Rgb value, which can show color, and rgb value can show wherein R value, G value and B value has 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 samples.

RGB estimator 330 can be estimated to include the second area in predetermined partition based on the rgb value of first area Rgb value, wherein first area is generated so that including the pattern image 950 of the first area in predetermined partition by sampling unit 250 sample and are calculated by RGB pattern map unit 320.

Predetermined partition can be indicated by the way that each pixel of display correction device 100 is divided into multiple groups generated group Region, and predetermined partition can be it is multiple.Alternatively, predetermined partition can be according to other RGB pattern figures before being based on As 980 rgb value a certain range in the similarity dimensions with rgb value and the subregion that is grouped.Including in predetermined partition First area can be by region that sampling unit samples and be arranged to the probability of occurrence of mura statistically lower area Domain, or be suitable for estimating the region of the rgb value of second area.Further, certain scheduled region can indicate to be arranged to mura Probability of occurrence statistically lower region certain region, and certain scheduled region can be it is single or multiple.

Specifically, RGB estimator 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 for being placed on around a predetermined partition The rgb value in one region estimates the rgb value of second area 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 It crosses using linear difference method come when estimating, RGB estimator 330 can be by expanding the rgb value or the of a predetermined partition The RGB average value in one region estimates the rgb value of second area.Estimated below with reference to Figure 11 description by expanding rgb value The specific descriptions of the rgb value of second area.

In addition, RGB estimator 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 to pass through 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 image analysis Device 300 map the capture pattern image 950 rgb value and generate the correction data 910 for correcting the value.

Specifically, characteristic corrector 400 can be based on the rgb value next life of the pattern image mapped by image dissector 300 At the correction data 910 of the rgb value exported for equilibrium from display device.Characteristic corrector 400 can be by using R value, G value The correction data 910 with identical R, G and B value is generated at least one of B value, or alternatively, characteristic corrector 400 can To generate correction data 910 based on the weight of each of R value, G value and B value.In addition, school can be generated in characteristic corrector 400 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 value, the G value With the average value of the B value.

Characteristic corrector 400 may include RGB comparator 410 and correction data calculator 420.

RGB comparator 410 can by with each pixel of display unit 1000 it is corresponding come compared with by image dissector 300 rgb values calculated.

Specifically, RGB comparator 410 can compare the rgb value and display unit of each pixel of display unit 1000 The RGB average value of 1000 all pixels, and determine that the rgb value of respective pixel is greater than and be also less than RGB average value.This Outside, RGB comparator 410 can determine that the scheduled some region of RGB average value of display unit 1000 is greater than and also be less than The rgb value of each pixel of display unit 1000.RGB comparator 410 can the RGB average value of more multiple predetermined partitions and aobvious Show the rgb value of each pixel of unit 1000.

Correction data calculator 420 can be generated correction data 910 so as to the rgb value of each pixel be shown as based on by The reference rgb value for the rgb value that RGB comparator 410 compares.

The 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 may include first communication module 510 and the first communication port 520.

First communication module 510 can be confirmed whether completed with the session of second communication module 720 and backward second Communication unit 700 sends the signal of communication for sending correction data 910.First communication module 510 may include first wired Communication module 511 and the first wireless communication module 512.

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 wireless communication When 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 may include antenna system, RF transceiver, one or more amplifier, Tuner, one or more oscillators, digital signal processor, CODEC chipset, subscriber identity module (SIM) etc., but it is unlimited In this.First wireless communication module 512 may include well known in the art for executing the circuit of these functions.

In addition, the first wireless communication module 512 can be by using internet, Intranet and referred to as WWW (WWW) And/or the network and the of wireless network (e.g., cellular phone network, Wireless LAN and/or Metropolitan Area Network (MAN) (MAN) and wireless communication) Two wireless communication modules 722 and network communication.

Wireless communication may 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 for the agreement of short message service (SMS) or any other suitable logical Believe agreement.In addition, various wireless communications methods are used as the example of wireless communication.

In addition, at least one of above-mentioned wireless communications method can be used in the first wireless communication module 512, without It is that a wireless communications method is only used in the first wireless communication module 512.

First communication port 520 can be provided for wanting via the second communication port 710 to the transmission of second communication module 720 The path of second communication module 720D data is sent to from first communication module 510.Further, the first communication port 520 can To include 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 communication port 520 may include the port high-definition multimedia interface (HDMI), digital visual interface (DVI) Port, the port D microminiature (D-sub), unshielded twisted pair cable (UTP cable) port and the port unified serial bus (USB). In addition, the various communication port 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 the light being shown in the pixel of display unit 1000 using the adjustment of correction data 910.Display device 600 can generate correction data 910 with display pattern image 950 so as to 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 may 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 may include the second communication port 710 With second communication module 720.

Second communication port 710 can be provided to be sent for sending to second communication module 720 from the first communication unit 500 Correction data 910 path.In addition, the second communication port 710 may include that the second wired connection port 711 and second is wireless Communication port 712.

The type of second communication port 710 can be same or different from above-mentioned first communication port 520.

Second communication module 720 can be sent to controller 800 or memory 900 from first through the second communication port 710 The correction data 910 that communication unit 500 is sent.In addition, second communication module 720 may 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, thus the connection between the first wired connection port 521 of confirmation 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 wireless communication Module 512, thus the connection between the first wireless communication port 522 of confirmation 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 the function of selection display device 600 and input the life for executing desired function The equipment for enabling 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, which can be used including infrared or bluetooth short haul connection, controls display correction dress Set 100 and/or display device 600.User can be by using key (including button) of the offer in remote control equipment, touching The sensor of template, the microphone that user speech can be received or the movement that can identify remote control equipment, to control display The function of means for correcting 100 and/or display device 600.

Remote control equipment can be used to open/close power supply, change channel, adjust volume, selectively wide in user / wired broadcasting/satellite broadcasting is broadcast, or executes the setting operation of display device 600.In addition, user can be by using long-range control Control equipment (e.g., is answered to open/close the content of power supply, change channel, adjusting volume, selection source or search 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, adjust display unit based on correction data 910 1000 rgb value, and the input signal later based on input 750 selects broadcast or adjustment volume etc..

Controller 800 may be used as central processing unit, and the type of central processing unit can be microprocessor.It is micro- Processor can be wherein arithmetic logic unit, register, program counter, command decoder and control circuit be provided to Processor in a few silicon chip.

Microprocessor can also include the graphics processor (GPU) for the graphics process of image or video.Microprocessor It can be implemented as including core and the system on chip (SoC) of GPU.Microprocessor may include monokaryon, double-core, three cores, four cores and more Core.

In addition, controller 800 may include graphics process plate comprising be electrically connected on the independent circuit board of microprocessor GPU, RAM or ROM.

Specifically, controller 800 may include master controller 820 and display controller 810.

Master controller 820 can control the whole control of controller 800.

Master controller 820 can send a signal to the calling of display unit 1000 to display controller 810 and 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 is adjustable to be supplied to display list The size of the input signal of member 1000 calls the correction data 910 being stored in memory 900 so as to display controller 810 to permit Perhaps each pixel of display unit 1000 shows unified rgb value.Master controller 820 can based on input 750 input signal, Control signal is sent to each configuration of display device 600 to execute the corresponding operating inputted by display device 600.

Display controller 810 can receive control signal from master controller 820 and believe the control about desired operation Number it is sent to display unit 1000.

Specifically, display controller 810 can send control signal to display unit 1000 so that display unit 1000 is aobvious Show position pattern image 960 or RGB pattern image 980.Display controller 810, which can also adjust, is sent to display unit 1000 Control signal the RGB that is 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 control display unit 1000 to be configured as correcting R different from each other The correction data of value, G value and B value is allowed to R value, G value and B value being corrected to a certain value.Display controller 810 can based on At least one value executes the correction about another value in relation to correction data 910 in R value, G value and B value.

Specifically, when the limitation of the memory space of the memory 900 due to display device 600, so storing about extremely When the correction data 910 of a few value is without storing the correction data 910 about each of R value, G value and B value, when due to aobvious Show that the difference between the R value, G value and B value shown in each pixel of unit 1000 is fairly small, so generating about R value, G value and B When the correction data 910 of each of value is meaningless, or when the data for the display correction device 100 for calculating correction data 910 Process performance or when controlling the data processing performance deficiency of display device 600 of display unit 1000 based on correction data 910, It can be possible that correction is executed by using small amount data.

For example, in the state that the rgb value of the RGB pattern image 980 of capture is equal to or less than preset range, although R value, G value and B value have different value in same rank, and R value, G value and B value can also be corrected to identical value by display device 600.When When display device 600 has the correction data 910 about at least one of R value, G value and B value, display device 600 can lead to It crosses and the correction data 910 of analog value is expanded to another value another value is corrected to the identical value.When display device 600 has About at least one of R value, G value and B value correction data 910 when, display device 600 can correct R value, G value and B value Whole, so as to R value, G value and B value 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 referring to Rgb value, and the pattern image 950 that is shown on display unit 1000 is stored to generate the correction data 910 of display.

Memory 900 may include nonvolatile memory 900, such as ROM, high-speed random access memory (RAM), disk Store equipment, 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 capacity (SDHC) storage card, mini SD storage card, mini SDHC storage card, trans- quick flashing (TF) storage card, miniature SD storage card, miniature SDHC storage card, memory stick, compact flash (CF), multimedia card (MMC), miniature MMC, eXtreme (number Word XD) card be used as memory 900.

In addition, memory 900 may include the network-attached storage equipment accessed via network.

Correction data 910 can be by making comparisons by the rgb value of each pixel of display unit 1000 and with reference to rgb value 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 capture The image of difference between case image 950.In addition, pattern image 950 may include position pattern image 960 and pattern RGB image 980。

Position pattern image 960 can be allowed to calculate 960 He of position pattern image being shown on display unit 1000 The deviation between position pattern image 960 that camera 200 captures, and identify certain in stored position pattern image 960 One position is placed on which position of the position pattern image 960 captured by camera 200, thus generating correction data 910 When, middle adjustment rgb value in place.The size and lock-on range of display device 600 as the mura of correcting display device 600 When constant, since correction data 910 is generated from tentation data, it is possible to not need position pattern image 960.But when It, 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, to pass through identification display unit 1000 Pixel rgb value between difference by the rgb value equilibrium of the pixel of display unit 1000 be with reference to rgb value.

Specifically, RGB pattern image 980 is the image for showing the pattern image 950 with predetermined rgb value.That is, about RGB pattern image 980, R value, G value and B value 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 value, G value and B value tool in a RGB pattern image 980 There is identical value, but the R value, G value and B value 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 value, G value and A difference and its residual value in B value are fixed.That is, RGB pattern image 980 can be the combination of the following terms: wherein removing R The outer G value of value and B value are fixed and the pattern image 950 of R value variation, wherein R value and B value are fixed in addition to G value and G value becomes The pattern image 950 of change, and the pattern image 950 that R value and G value are fixed in addition to B value and B value changes.

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, about RGB Pattern image 980, gray level image can be with 10 grades (that is, R value/G value/B value is 10/10/10), 25 grades (25/25/25), 5 in 40 grades (40/40/40), 60 grades (60/60/60) and 200 grades (200/200/200) of RGB pattern image 980.

Further, pattern image 950 can be implemented, so that position pattern image 960 and RGB pattern image 980 are by simultaneously It realizes at single image.Specifically, the position pattern of position pattern image can be made to be placed in synthesising pattern image 950 At the low position of mura probability of occurrence, and rest part has the characteristic of RGB pattern image 980.

Display unit 1000 can show that the pattern image 950 being stored in memory 900 is shown so that camera 200 captures Pattern image 950 with allow display correction device 100 generate correction data 910.

Display unit 1000 may include flat display unit 1000, the curved-surface display unit 1000 with bending part, The wherein adjustable flexible display unit 1000 in bending part.

The output resolution ratio of display unit 1000 may 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 greater than 2000mm.The horizontal vertical length of the screen of display unit 1000 may 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 may include 4:3,16:9,16:10,21:9 or 21:10.

Fig. 2 a is to show the outside drawing of the display correction system according to an embodiment, and Fig. 2 b is shown according to another reality Apply the outside drawing of the display correction system of example, Fig. 2 c is 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 be can be provided that and display correction device 100 may be provided on later Before the display unit 1000 of display device 600.

About display correction device 100, the camera 200 for attaching to tripod can be placed on to be made a reservation for away from display device 600 The position of distance.In addition, single camera 200 can be provided that, but alternatively, multiple cameras 200 be can be provided that capture display dress Set 600 different zones.For example, multiple cameras 200 may be provided on as curved surface about curved-surface display device 600 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 capturing The pattern image 950 that shows generates correction data 910.

In addition, the sampling unit for being used to support and protecting in addition to camera 200 can be provided about display correction device 100 250, image dissector 300, characteristic corrector 400 and the first communication unit 500 shell 150.In shell 150, Ke Yifang Set sampling unit 250, image dissector 300, characteristic corrector 400 and the first communication unit 500 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 is connected with shell 150 by wire communication and shell 150 is connected with 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 by wireless communication connection and shell 150 connected with 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 communicates to connect and shell 150 and camera 200 connect by wireless communication.

Above, the configuration of the display correction system according to an embodiment has been described.

Display bearing calibration according to the embodiment explained below.

Below with reference to Fig. 3 to Fig. 6 description according to the display bearing calibration of embodiment A.

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 capture the first RGB pattern image (980_1) with the first RGB pattern image that will be captured (980_1) is converted into picture signal and sends image dissector 300 for the picture signal later.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 comparator 410 of characteristic corrector 400 can more each pixel rgb value and all pixels RGB it is average Value, or more each pixel rgb value and the predetermined partition including respective pixel RGB average value.Further, RGB comparator 410 can more each pixel rgb value and make a reservation for some region of RGB average value.

Based on the rgb value compared by RGB comparator 410, correction data calculator 420 can be generated correction data 910 with Just it is shown by the rgb value that each pixel is shown with reference to rgb value.

Correction data 910, which can be, to be generated as so that the corrected value of each pixel of display device 600 is arranged on square Data in battle array.About 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) generates.

That is, display device 600 can when the first correction data (910_1) is generated by the first RGB pattern image (980_1) To generate the second correction data (910_2) by the second RGB pattern image (980_2) of display, and to which display device 600 can To repeatedly generate next round correction data 910 by display next round RGB pattern image 980.

Embodiment A may include embodiment A1, embodiment A2 and embodiment A3.Embodiment A1 can be following scenario described, Compare the rgb value of each pixel and the RGB average value of all pixels and puts down the RGB that reference rgb value is set as all pixels Mean value.Embodiment A2 can be following scenario described, the rgb value of more each pixel and the predetermined partition including respective pixel RGB average value, and set reference rgb value to include the predetermined partition of respective pixel RGB average value.Embodiment A3 can be with It is following scenario described, the rgb value of more each pixel and makes a reservation for some region of RGB average value, and will be arranged with reference to rgb value To make a reservation for some region of RGB average value.

Display device can show RGB pattern image.Camera can capture the RGB pattern image (100) of display and it The RGB pattern image of capture is converted into picture signal afterwards.Image dissector can calculate rgb value and the capture of each pixel The RGB average value (110) of the whole region of RGB pattern image, and later by with the corresponding rgb value come compared with of each pixel With RGB average value.

Characteristic corrector can generate correction data based on the rgb value of each pixel and the RGB average value of calculating (120).That is, the rgb value of each pixel can be configured to refer to by setting the RGB average value of calculating to reference to rgb value Rgb value.

Characteristic corrector can determine whether the RGB pattern image currently captured is the n-th RGB pattern image (130).

When the RGB pattern image currently captured is not the n-th RGB pattern image, the controller of display device can be from depositing Reservoir loads next round RGB pattern image (140), and later shows the next round RGB pattern image on the display unit. Display correction device can be sequentially performed step 100 to 300 based on the RGB pattern image of display again.

When the RGB pattern image currently captured 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 The correction data storage that memory is sent to will send is in memory (160).

Finally, display device can be by sending control signal to display unit based on the correction data stored in memory To show image (170).

Display device can show RGB pattern image.Camera can capture the RGB pattern image (200) of display and it The RGB pattern image of capture is converted into picture signal afterwards.Image dissector can calculate rgb value and the capture of each pixel The RGB average value (210) of the predetermined partition of RGB pattern image, and later by with the corresponding rgb value come compared with of each pixel With RGB average value.

Then, characteristic corrector can the rgb value based on each pixel and calculating predetermined partition RGB average value next life At correction data (220).That is, the rgb value of each pixel can be set by setting the RGB average value of calculating to reference to rgb value It is set to reference to rgb value.

Characteristic corrector can determine whether the RGB pattern image currently captured is n-th of RGB pattern image (230).

When the RGB pattern image currently captured is not n-th of RGB pattern image, sampling unit can be based on rgb value weight Set predetermined partition (240).Specifically, sampling unit can by the group pixels of the rgb value having in preset range by Pixel in same group is set as predetermined partition.

The controller of display device can load next round RGB pattern image (250) from memory, and later will be 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 sequence Ground executes step 200 to 230.

When the RGB pattern image currently captured 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 In memory (270) according to the correction data storage for being sent to memory will transmit.

Finally, display device can be by sending control signal to display unit based on the correction data stored in memory To show image (280).

Display device can show RGB pattern image.Camera can capture the RGB pattern image of display and will catch later The RGB pattern image caught is converted into picture signal.Image dissector can map the whole region of the RGB pattern image of capture (TI) rgb value of each pixel.

Further, image dissector can calculate the RGB average value for making a reservation for a certain region (CI) and characteristic corrector can To set the RGB average value for making a reservation for a certain region (CI) to reference to RGB average value, and generate correction data later to show Show that rgb value on each pixel is shown with reference to rgb value.

Below with reference to Fig. 7 to Figure 11 description according to the display bearing calibration of embodiment B.

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 capture the first RGB pattern image (980_1) with the first RGB pattern image that will be captured (980_1) is converted into picture signal and sends sampling unit 250 for the picture signal later.

Sampling unit 250 can sample the rgb value including the first area in multiple predetermined partitions, and will adopt later 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 estimator 330 can estimate include second area in multiple predetermined partitions rgb value.Specifically, RGB Estimator 330 can by based on include second area to be evaluated a predetermined partition first area rgb value and The rgb value of the first area of neighbouring another predetermined partition with a predetermined partition estimates using linear difference method The rgb value in two regions.Image dissector 300 can send characteristic corrector 400 for the rgb value of each pixel of mapping.

The RGB comparator 410 of characteristic corrector 400 can more each pixel rgb value and including the pre- of respective pixel Determine the RGB average value of subregion, or more each pixel rgb value and include in the predetermined partition comprising respective pixel first The RGB average value in region.In addition, RGB comparator 410 can more each pixel rgb value and to make a reservation for some region of RGB flat Mean value.

Correction data calculator 420 can generate correction data 910 based on the rgb value compared by RGB pattern comparator, with Just it is shown by the rgb value that each pixel is shown with reference to rgb value.

Correction data 910 can be such data, be generated as the correction so that 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) it generates, 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, display device 600 can when the first correction data (910_1) is generated by the first RGB pattern image (980_1) By showing second RGB pattern image (980_2) second correction data of Lai Shengcheng (910_2), and thus display device 600 Next round correction data 910 can be repeatedly generated by display next round RGB pattern image 980.

Embodiment B may include embodiment B1, embodiment B2, embodiment B3 and embodiment B4.Embodiment B1 can be with Lower situation, wherein the RGB average value of the first area of the rgb value of more each pixel and the predetermined partition including respective pixel, And set reference rgb value to include the first area of the predetermined partition of respective pixel RGB average value.Embodiment B2 can be with It is following scenario described, wherein the central part of predetermined partition is configured to first area.Embodiment B3 can be following scenario described, wherein The upper left of predetermined partition is configured to first area.Embodiment B4 can be following scenario described, wherein when the predetermined partition Side be not present another predetermined partition when, a certain rgb value is expanded into side.

Display device can show RGB pattern image.Camera can capture the RGB pattern image (300) of display and it The RGB pattern image of capture is converted into picture signal afterwards.Sampling unit can sample the picture signal of first area.

Image dissector can calculate first area included in the predetermined partition in the RGB pattern image of capture 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 value of the first area of calculating Correction data (330).That is, the rgb value of each pixel can be configured to by setting the RGB average value of calculating to reference to rgb value With reference to rgb value.

Characteristic corrector can determine whether the RGB pattern image currently captured is n-th of RGB pattern image (340).

When the RGB pattern image currently captured is not n-th of RGB pattern image, sampling unit can be based on rgb value weight Set predetermined partition (350).Specifically, sampling unit can by the group pixels of the rgb value having 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 later will be 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 sequence Ground executes step 300 to 340.

When the RGB pattern image currently captured 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 In memory (380) according to the correction data storage for being sent to memory will send.

Finally, display device can be by sending control letter to display unit based on correction data stored in memory Number show image (390).

As shown in figure 9, predetermined partition can be the group containing 9 pixels.The central part of predetermined partition can be arranged to One region (A1), and the part in predetermined partition in addition to first area (A1) can be arranged to second area (A2).

Further, the RGB pattern image of capture can be has 25 predetermined partitions in 225 pixels (15 pixel of 15x) Example, but the number of pixel and the not limited to of predetermined partition are in this.In order to based on RGB pattern image calculate correction data with The pixel of various numbers and the predetermined partition of various numbers can be used in correcting display device.

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_ Each of 19) rgb value of first area (A1) and by using linear difference method, calculates the 13rd predetermined partition (DI_13) rgb value of first area (A1) and estimation include 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 When value, the rgb value of P78 and the rgb value of P68 can be estimated as between the rgb value of P58 and the rgb value of P88 with linear poor Rgb value.

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 capture can be has 25 predetermined partitions in 225 pixels (15 pixel of 15x) Example, but the number of pixel and the not limited to of predetermined partition are in this.In order to based on RGB pattern image calculate correction data with The predetermined partition of various number of pixels and various numbers can be used in correcting display device.

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 include 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 When value, the rgb value of P67 and the rgb value of P57 can be estimated as between the rgb value of P47 and the rgb value of P77 with linear poor Rgb value.

As shown in figure 11, the side of the RGB pattern image of capture is shown, and 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 there is no predetermined partition Value.

In this case, the predetermined partition of downside can be expanded to downside to generate the first virtual region (VI_ by RGB estimator 1), and based on the first virtual region (VI_1) rgb value estimation second area rgb value.

In addition, the predetermined partition on right side can be expanded to right side to generate the second virtual region (VI_2) by RGB estimator, 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 estimator can be by the RGB average value of first area included in the predetermined partition of lower right side diagonally Lower right side is expanded to generate third virtual region (VI_3), and the rgb value based on third 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 used to be calculated correction data by using matrix will be described according to an embodiment below.

The embodiment of display bearing calibration is described below with reference to Figure 12 a and Figure 12 b.

Characteristic corrector 400 can be by using the respective pixel of the rgb value, capture analyzed by image dissector 300 The capture 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 capture environment of camera 200, and And the absolute light intensity is applied to rgb value later.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.

Characteristic corrector 400 can rgb value and display unit 1000 based on respective pixel whole region RGB it is average 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 value)) * (correction coefficient)

Equation 2 be by the RGB average value by the whole region of the rgb value of respective pixel and display unit 1000 come based on Calculate the equation of corrected value.According to equation 2, corrected value is by subtracting from the initial RGB values of the RGB pattern image 980 of display One value, and later obtaining the value multiplied by correction coefficient, subtract the value are by by respective pixel Rgb value is obtained divided by the RGB average value of the pixel of whole region.

In addition, characteristic corrector 400 can rgb value and display unit 1000 based on respective pixel some region RGB average value calculates 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 value)) * (correction coefficient)

Equation 3 be by the RGB average value by some region of the rgb value of respective pixel and display unit 1000 come based on Calculate the equation of corrected value.According to equation 3, corrected value is by subtracting from the initial RGB values of the RGB pattern image 980 of display One value, and later obtaining the value multiplied by correction coefficient, subtract the value are by by respective pixel Rgb value is obtained divided by the RGB average value of the pixel in some region.

Figure 12 a is 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 pixel).

As figure 12 a shows, it may is that P11 be 125, P12 be 50, P13 is 0 (zero) by the rgb value that camera 200 captures, It is 75, P21 be 200, P22 be 100, P23 be 75, P24 be 50, P25 be 0, P31 be 250, P32 is 175 that P14, which is 25, P15, It is 100, P35 be 125, P41 be 225, P42 be 175, P43 be 175, P44 be 250, P45 is that 175, P51 is that P33, which is 125, P34, 225, P52 be 175, P53 be 275, P54 be 375 and P55 be 250.In addition, rgb value is arranged as first with matrix-type Matrix (PM_1).

Image dissector 300 can be by setting the RGB average value of P33 in the center portion thereof point to reference to rgb value, by phase The rgb value of pixel is answered to arrange in a matrix divided by this with reference to the value that rgb value obtains.For example, the value can be arranged as the second matrix (PM_2), it be 0.4, P13 is 0 (zero) that wherein P11, which is 1, P12, and it be 0.6, P21 be 1.6, P22 is 0.8, P23 that P14, which is 0.2, P15, It is 0.6, P24 be 0.4, P25 is 0 (zero), it be 1.4, P33 be 1, P34 be 0.8, P35 be 1, P41 is 1.8, P42 that P31, which is 2, P32, It is 1.4, P43 be 1.4, P44 be 2, P45 be 1.4, P51 be 1.8, P52 be 1.4, P53 be 2.2, P54 be 3 and P55 is 2.

Image dissector 300 can pass through the reference by the second matrix (PM_2) multiplied by the RGB pattern image 980 of display Rgb value and the RGB class value of each pixel is aligned in third matrix (PM_3).For example, the value can be arranged as third square Battle array (PM_3), it be 2, P13 is 0 (zero) that wherein P11, which is 5, P12, and it be 3, P21 be 8, P22 be 4, P23 is 3, P24 that P14, which is 1, P15, It is 2, P25 be 0, P31 be 10, P32 be 7, P33 be 5, P34 be 4, P35 be 5, P41 be 9, P42 be 7, P43 be 7, P44 is 10, It is 9, P52 be 7, P53 be 11, P54 be 15 and P55 is 10 that P45, which is 7, P51,.

It will be expressed by equation 4 by the RGB class value that image dissector 300 calculates each pixel.

[equation 4]

The RGB class value of respective pixel=(rgb value of respective pixel)/(the RGB average value 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 worth by image dissector 300 multiplied by one The RGB class value of respective pixel is calculated, the value multiplied is by putting down the rgb value of respective pixel divided by the RGB in some region Mean value and obtain.

Characteristic corrector 400 can by RGB class value 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 value for subtracting respective pixel in rank.By by equation 5 description to its Description.

[equation 5]

The corrected value of respective pixel=(the reference rank of the RGB pattern image of display)-(the RGB class value 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 value of respective pixel calculates corrected value.

But when the absolute value that corrected value is negative and corrected value is greater than with reference to rank, characteristic corrector 400 can be with Set corrected value to the negative of the other absolute value of reference level.For example, when reference rank is 5, although the actual corrected value of P53 It is -6, but corrected value can be arranged to -5 by characteristic corrector 400.

In addition, characteristic corrector 400 can permit and reference value is added to value that corrected value obtains be 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, which can be configured to 5.

As described above, characteristic corrector 400 can be arranged the corrected value of calculating by application third matrix (PM_3) 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+5, P14 be+4, P15 be+2, P21 be -3, P22 be+1, P23 be+2, P24 be+3, P25 be 5, P31 be -5, P32 is -2, It is+1, P35 is 0 (zero) that P33, which is 0, P34, and it be -2, P43 be -2, P44 be -5, P45 be -2, P51 is -4, P52 that P41, which is -4, P42, It is -2, P53 be -5, P54 be -5 and P55 is -5.

Figure 12 b is 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, it can be by the rgb value that camera 200 captures, it be 50, P13 is 0 (zero) that P11, which is 125, P12, It is 75, P21 be 200, P22 be 100, P23 be 75, P24 be 50, P25 be 0, P31 be 250, P32 is 175 that P14, which is 25, P15, It is 100, P35 be 125, P41 be 225, P42 be 175, P43 be 175, P44 be 250, P45 is that 175, P51 is that P33, which is 125, P34, 225, P52 be 175, P53 be 275, P54 be 375 and P55 be 250.Rgb value can be arranged in a matrix, as the first square Battle array (PM_1).

Image dissector 300 can be by dividing the center portion thereof the RGB average value of P33 to be set as with reference to rgb value, will be corresponding The rgb value of pixel arranges in a matrix divided by this with reference to the value that rgb value obtains.For example, the value can be arranged as the second matrix (PM_2), it be 0.4, P13 is 0 (zero) that wherein P11, which is 1, P12, and it be 0.6, P21 be 1.6, P22 is 0.8, P23 that P14, which is 0.2, P15, It is 0.6, P24 be 0.4, P25 is 0 (zero), it be 1.4, P33 be 1, P34 be 0.8, P35 be 1, P41 is 1.8, P42 that P31, which is 2, P32, It is 1.4, P43 be 1.4, P44 be 2, P45 be 1.4, P51 be 1.8, P52 be 1.4, P53 be 2.2, P54 be 3 and P55 is 2.

Image dissector 300 can pass through the reference to the second matrix (PM_2) multiplied by the RGB pattern image 980 of display Rgb value and the RGB class value of each pixel is arranged in third matrix (PM_3).For example, the value can be arranged as third matrix (PM_3), it be 2, P13 is 0 (zero) that wherein P11, which is 5, P12, and it be 3, P21 be 8, P22 be 4, P23 is that 3, P24 is that P14, which is 1, P15, 2, P25 be 0 (zero), and it be 7, P33 be 5, P34 be 4, P35 be 5, P41 be 9, P42 be 7, P43 is that 7, P44 is that P31, which is 10, P32, 10, P45 be 7, P51 be 9, P52 be 7, P53 be 11, P54 be 15 and P55 be 10.

The RGB class value that each pixel is calculated by image dissector 300 will be expressed by equation 6.

[equation 6]

According to equation 6, the reference rank of the RGB pattern image 980 of display can be worth by image dissector 300 multiplied by one Calculate the RGB class value of respective pixel, multiplied by value be by by the rgb value of respective pixel divided by some region Obtained from RGB average value.

Characteristic corrector 400 can by RGB class value 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 value for subtracting respective pixel in rank.By by equation 7 description to its Description.

[equation 7]

The corrected value of respective pixel=((the reference rank of the RGB pattern image of display)²/ (the RGB rank 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, which is by other square of reference level of the pattern image that will be shown divided by phase It answers obtained from the RGB class value of pixel.

But when the RGB class value of respective pixel is 0 (zero), characteristic corrector 400 can be arbitrary by being arranged RGB class value executes correction.

As described above, the corrected value of calculating can be arranged as by characteristic corrector 400 by application third 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 it be+3.3, P21 be -1.9, P22 be+1.3, P23 be+3.3, P24 is that+7.5, P25 is that P14, which is+20.0, P15, 0 (zero), it be -1.4, P33 is 0 (zero) that P31, which is -2.5, P32, and it is 0 (zero) that P34, which is+1.3, P35, P41 be -2.2, P42 be - 1.4, P43 be -1.4, P44 be -2.5, P45 be -1.4, P51 be -2.2, P52 be -1.4, P53 be -2.7, P54 be -3.3, with And P55 is -2.5.

Above according to an embodiment describe display correction system bearing calibration, wherein the pattern image captured and Relationship between the pattern image of display is determined in advance.

The pattern image captured and display will be arranged by using position pattern image according to embodiment description below Pattern image between relationship after show the bearing calibration of correction system.

Display device can be with display position pattern image.Camera can capture the position pattern image (400) of display and The position pattern image of capture is converted into picture signal later.Image dissector can pass through the spy based on position pattern image The position pattern image of the position pattern image for comparing display and capture is levied to calculate deviation, thus the display that identification is captured The position (410) of the pixel of unit in the picture.

Display device can show RGB pattern image.Camera can capture the RGB pattern image (420) of display and it The RGB pattern image of capture is converted into picture signal afterwards.Image dissector can calculate rgb value and the capture of each pixel The RGB average value (430) of the whole region of RGB pattern image and later by correspond to each pixel come more described two Value.Characteristic corrector can generate correction data based on the rgb value of each pixel and the RGB average value of calculating.That is, pass through by The RGB average value of calculating is set as with reference to rgb value, and the rgb value of each pixel can be configured to reference to rgb value.

Characteristic corrector can determine whether the RGB pattern image currently captured is n-th of RGB pattern image (440).

When the RGB pattern image currently captured is not n-th of RGB pattern image, the controller of display device can be from Memory loads next round RGB pattern image (450), and shows the next round RGB pattern image later.Display correction device RGB pattern image sequence based on display it can execute step 420 to 440.

When the RGB pattern image currently captured 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 In memory (470) according to the correction data storage for being sent to memory will send.

Finally, display device can be by sending control letter to display unit based on correction data stored in memory Number show image (480).

Figure 14 a to Figure 14 g shows the embodiment of position pattern image.

Position pattern image (PI) is the position for showing pixel in the display for identification and the figure for being shown in capture 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).

The method for generating correction data with correcting display device is above described according to an embodiment.

The rgb value of display device explained below that wherein calculate correction data according to an embodiment.

The variation 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 is the scatter chart of the rgb value of display device before showing the correction according to an embodiment, and schemes 15b is to show the scatter chart of the rgb value of the correction rear indicator according to an embodiment.

Figure 15 a and Figure 15 b show the curve graph of rgb value on two different level axis, wherein 8 ratios on the display unit 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 captured before correction can have the rgb value of wherein central part High and shape that the rgb value of opposed side portions is low.That is, rgb value not according to trunnion axis position and there is wherein vertical and water The unified value of flat RGB characteristic.

But as illustrated in fig. 15b, the rgb value of the RGB pattern image captured after correction can have wherein vertically and horizontally The unified value of RGB characteristic.Further, gamma characteristic can have similar characteristics according to position.

Figure 16 a is the scatter chart of the rgb value of display device before the correction shown according to another embodiment, and schemes 16b is to show the scatter chart of the rgb value of correction rear indicator according to another embodiment.

Figure 16 a and Figure 16 b show curve graph of the rgb value on 4 different vertical axis, wherein 8 ratios on display unit 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 capture can have the RGB of wherein central part before correction It is worth shape high and that the rgb value of opposed side portions is low.That is, rgb value not according to vertical axis position and have it is wherein vertical and The unified value of horizontal RGB characteristic.

But as shown in fig 16b, the rgb value of the RGB pattern image of capture can have wherein vertical and water after calibration The unified value of flat RGB characteristic.Further, gamma characteristic can have similar characteristics according to position.

System is corrected below with reference to the display of Figure 17 description according to another embodiment.

Display correction system 1 may include camera 200, communication accessory (assembly) 160, input 750 and display device 600。

Camera 200 can be configured as capturing the pattern image 950 of display over the display and the image by capture 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.

Data can be sent to camera 200 and receive data from camera 200 camera 200 to be connected to by communicating accessory 160 Display device 600.

Specifically, communication accessory 160 may include first communication module 510 and similar with the first communication unit 500 the One communication port 520, and communicated via wired and or wireless communications with camera 200 and display device 600.For example, communication is matched Part 160 can receive the pattern image 950 captured by camera 200 in the form of picture signal, and later 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 capturing 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 capturing pattern image 950 Circle value (F#), and generated later when generating correction data 910 using time for exposure, sensitivity (ISO) and f-number (F#) Correction data.

The communication means and type for communicating 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 order from the user is converted into input signal.Specifically Ground, as shown in figure 17, input 750 can be the remote control equipment for being able to carry out and remotely controlling.User can identify and be shown in Correction in display device 600 notifies image and determines whether to generate correction data 910 to be sent to display via input 750 Device 600.

Display device 600 can show image and receive the obtained image of image by capturing display to generate school Correction data 910.

Specifically, display device 600 may include memory 900, display unit 1000 and controller 800.

Memory 900 and display unit 1000 shown in Figure 17 can be with memory 900 shown in FIG. 1 and display units 1000 is identical or different.

Controller 800 can receive the pattern image 950 captured by camera 200 and the rgb value for mapping each pixel.Control Device 800 processed can be generated based on the rgb value of mapping correction data 910 with by the rgb value equilibrium of each pixel be with reference to rgb value, And correction data 910 is applied to display unit 1000 later.

The controller 800 of Figure 17 may include display controller 810 and master controller 820 same as shown in Figure 1.Into one Step, the controller 800 of Figure 17 may include sampling unit 250 same as shown in Figure 1, image dissector 300 and characteristic correction Device 400.

By using the display device 600 that can generate correction data 910 and communicating 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 due to caused by the use accumulated after shipment and display device 600 Vibration 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 be connected to camera 200 by the communication accessory 160 that will be connect with display device 600 to detect the difference of rgb value. In the case, the difference of the rgb value confirmly detected when the controller 800 of display device 600 is equal to or more than instruction needs When the predetermined value of correction, controller 800 can show correction notice image (AI) in display device 600, as shown in figure 17.

Therefore, the deviation that user can recognize the rgb value being shown in display device 600 exists and thus needs 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 a small amount of embodiment of the disclosure is had shown that and describes, it will be understood by those skilled in the art that not departing from It, can be to these embodiments in the case that its range is limited to the principle and spirit of the disclosure in claim and its equivalent It is changed.

Claims

1. a kind of display correction device, includes:

Camera is configured as capturing the pattern image being shown on the desplay apparatus；

Image dissector is configured as calculating the rgb value of the pattern image captured；And

Characteristic corrector is configured as correcting the display dress based on the RGB average value of calculating and the rgb value of each pixel It sets, so that each pixel shows the average value calculated,

Wherein the rgb value include in three kinds of color distributions correspond to red R value, corresponding to green G value and The combination of B value corresponding to blue,

Wherein described image analyzer calculates the rgb value of first area in multiple predetermined partitions, and the rgb value based on calculating is estimated Count the rgb value of second area in the predetermined partition.

2. display correction device as described in claim 1, wherein

The characteristic corrector corrects the display dress based on the rgb value for the RGB average value and each pixel for making a reservation for some region It sets.

3. display correction device as described in claim 1, wherein

The characteristic corrector corrects the display based on the RGB average value of multiple predetermined partitions and the rgb value of each pixel Device.

4. display correction device as described in claim 1, wherein

Described image analyzer based on include with neighbouring another in a predetermined partition that includes the second area to be evaluated The rgb value of first area in one predetermined partition and include the first area in a predetermined partition rgb value, lead to Cross the rgb value using linear difference method estimation second area.

5. display correction device as described in claim 1, wherein

Pattern image described in the cameras capture is without focusing the pattern image.

6. a kind of display correction system, includes:

Display device is configured as display pattern image；And

Display correction device includes:

Camera captures the pattern image of display,

Image dissector calculates the rgb value of the pattern image of capture, and

Characteristic corrector, the rgb value of RGB average value and each pixel based on calculating, which generates, allows each pixel to show calculating The correction data of average value,

7. display correction system as claimed in claim 6, wherein

The characteristic corrector generates correction data based on the rgb value for the RGB average value and each pixel for making a reservation for some region.

8. display correction system as claimed in claim 6, wherein

The rgb value of RGB average value and each pixel of the characteristic corrector based on multiple predetermined partitions generates correction data.

9. display correction system as claimed in claim 6, wherein

Described image analyzer based on include with neighbouring another in a predetermined partition that includes the second area to be evaluated The rgb value of first area in one predetermined partition and include the first area in a predetermined partition rgb value, pass through The rgb value of the second area is estimated using linear difference method.

10. display correction system as claimed in claim 9, wherein

When another predetermined partition does not exist in the side of a predetermined partition, described image analyzer passes through will be described One predetermined partition expands to side to estimate the rgb value of the second area.

11. display correction system as claimed in claim 9, 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.

12. display correction system as claimed in claim 6, 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 the image of the position and cameras capture of image in the display device, the RGB pattern image allow for generating The pixel of the display device shows the correction data of unified rgb value.

13. display correction system as claimed in claim 12, wherein

The RGB pattern image indicates multiple RGB pattern images, and in the multiple RGB pattern image, R value, G value and B value are tools There is the different value of predetermined ratio.