CN109410819A - The driving method of display system and display system - Google Patents
The driving method of display system and display system Download PDFInfo
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- CN109410819A CN109410819A CN201811460283.2A CN201811460283A CN109410819A CN 109410819 A CN109410819 A CN 109410819A CN 201811460283 A CN201811460283 A CN 201811460283A CN 109410819 A CN109410819 A CN 109410819A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/2003—Display of colours
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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- Processing Of Color Television Signals (AREA)
Abstract
The present invention provides the driving method of a kind of display system and display system.Display system of the invention calculates the color temperature value and average gray-scale value of image to be shown using processing unit, display shows image to be shown, intelligent bulbs calculate RGB grayscale value corresponding with the color temperature value of image to be shown and original light source brightness using look-up table, utilize original light source brightness corresponding with the color temperature value of image to be shown, the average gray-scale value of image to be shown and preset brightness regulation coefficient formula, which calculate the corresponding brightness regulation coefficient of image to be shown and the original light source brightness corresponding with the color temperature value of image to be shown of the corresponding brightness regulation coefficient of image to be shown are multiplied, obtains the corresponding actual light source brightness of image to be shown, the corresponding RGB grayscale value of color temperature value according to the corresponding actual light source brightness of image to be shown and image to be shown carries out luminous, telepresenc enhancing when user being enabled to watch image, with Family experience enhancing.
Description
Technical field
The present invention relates to the driving methods of field of display technology more particularly to a kind of display system and display system.
Background technique
With the development of display technology, liquid crystal display device (Liquid Crystal Display, LCD) and organic light emission
The flat display apparatus such as diode display (Organic Light Emitting Display, OLED) are because having high draw
The advantages that matter, power saving, fuselage are thin and have a wide range of application, and it is widely used in mobile phone, TV, personal digital assistant, number
The various consumer electrical products such as camera, laptop, desktop computer, become the mainstream in display device.
Existing liquid crystal display device largely generally comprises: liquid crystal display panel and backlight module (backlight
module).The working principle of liquid crystal display panel is that liquid crystal molecule, two sheet glass are placed in the parallel glass substrate of two panels
There are many tiny electric wires vertically and horizontally among substrate, and liquid crystal molecule is controlled whether by being powered and changes direction, by backlight
The light refraction of mould group, which comes out, generates picture.
Existing OLED display generally includes: substrate, the anode on substrate, the organic light emission on anode
Layer, the electron transfer layer on organic luminous layer and the cathode on electron transfer layer.It is sent out when work to organic luminous layer
The hole from anode and the electronics from cathode are penetrated, these electrons and holes is combined and generates excitability electron-hole pair, and
Excitability electron-hole pair is exported from excited state and is shone for ground state realization.
In display industry, colour temperature is the important parameter for characterizing the color characteristics of light, and colour temperature is lower, photochromic more inclined
It is red, conversely, photochromic more inclined.The colour temperature of image entirety can characterize image to the overall feeling of viewer.
The prior art typically only can the display colour temperature to display device be adjusted so that the display effect of image reaches
Most preferably, when display device is shown, if the color for the image that environment colour temperature locating for display device and display device are shown
Temperature mismatches, then can reduce telepresenc when user watches image, and user experience is poor.
Summary of the invention
The purpose of the present invention is to provide a kind of display systems, and telepresenc when user being enabled to watch image increases
By force, user experience enhances.
Another object of the present invention is to provide a kind of driving methods of display system, and user is enabled to watch image
When telepresenc enhancing, user experience enhancing.
To achieve the above object, present invention firstly provides a kind of display systems, including processing unit and processing unit electrical property
The display of connection and the intelligent bulbs being electrically connected with processing unit；
The processing unit accesses image to be shown and calculates the color temperature value and average gray-scale value of image to be shown, will be to aobvious
Show that image transmission is transmitted to intelligent bulbs to display and by the color temperature value of image to be shown and average gray-scale value；
The display shows the image to be shown after receiving image to be shown；
The intelligent bulbs are stored with look-up table, the look-up table include multiple preset reference color temperature value, respectively with it is more
The corresponding multiple groups RGB grayscale value of a reference color temperature value and multiple original light sources corresponding with multiple reference color temperature value are bright respectively
Degree；The intelligent bulbs are calculated and to aobvious after the color temperature value and average gray-scale value for receiving image to be shown using look-up table
Show the corresponding RGB grayscale value of the color temperature value of image and original light source brightness, using corresponding with the color temperature value of image to be shown
It is corresponding that original light source brightness, the average gray-scale value of image to be shown and preset brightness regulation coefficient formula calculate image to be shown
The brightness regulation coefficient and corresponding brightness regulation coefficient of image to be shown is corresponding with the color temperature value of image to be shown original
Light-source brightness, which is multiplied, obtains the corresponding actual light source brightness of image to be shown, according to the corresponding actual light source brightness of image to be shown
And the corresponding RGB grayscale value of color temperature value of image to be shown carries out luminous, the red channel of intelligent bulbs, green when shining
The grayscale value of channel and blue channel is respectively the red grayscale in the corresponding RGB grayscale value of color temperature value of image to be shown
Value, green grayscale value and blue grayscale value, the light emission luminance of intelligent bulbs is the corresponding actual light source of image to be shown when shining
Brightness.
The image to be shown includes in multiple pixels of array arrangement, and each pixel includes red sub-pixel, green
Sub-pixel and blue subpixels, each red sub-pixel, green sub-pixels and blue subpixels have a grayscale value.
The processing unit calculates the detailed process of the average gray-scale value of image to be shown are as follows: obtains more in image to be shown
The average value of the grayscale value of a red sub-pixel, the average value of the grayscale value of multiple green sub-pixels, multiple blue subpixels
The average value of grayscale value, using the average value of the grayscale value of multiple red sub-pixels, multiple green sub-pixels grayscale value it is flat
Mean value, multiple blue subpixels grayscale value average value and preset average gray-scale value calculation formula calculate image to be shown
Average gray-scale value.
The preset average gray-scale value calculation formula are as follows:
GYave=Rave×0.299+Gave×0.587+Bave×0.114；
Wherein, GYaveFor the average gray-scale value of image to be shown, RaveIt is averaged for the grayscale value of multiple red sub-pixels
Value, GaveFor the average value of the grayscale value of multiple green sub-pixels, BaveFor the average value of the grayscale value of multiple blue subpixels.
The preset brightness regulation coefficient formula are as follows:
Lβ=100 × (GYave/255)^Lα；
Wherein, LβFor the corresponding brightness regulation coefficient of image to be shown, LαFor the corresponding brightness ratio system of image to be shown
Number, Lα=LV/LVmax, LVFor the corresponding original light source brightness of color temperature value of image to be shown, LVmaxFor in look-up table respectively with it is more
Maximum value in the corresponding multiple original light source brightness of a reference color temperature value.
The present invention also provides a kind of driving methods of display system, include the following steps:
Step S1, display system is provided；The display system includes processing unit, the display with processing unit electric connection
Device and the intelligent bulbs being electrically connected with processing unit；The intelligent bulbs are stored with look-up table, and the look-up table includes more
A preset reference color temperature value, respectively multiple groups RGB grayscale value corresponding with multiple reference color temperature value and respectively with multiple references
The corresponding multiple original light source brightness of color temperature value；
Step S2, the described processing unit access image to be shown and calculate image to be shown color temperature value and average grayscale
Value, is transmitted to intelligent bulbs by image transmission to be shown to display and by the color temperature value of image to be shown and average gray-scale value；
Step S3, the described display shows the image to be shown；The intelligent bulbs are calculated using look-up table and to aobvious
Show the corresponding RGB grayscale value of the color temperature value of image and original light source brightness, using corresponding with the color temperature value of image to be shown
It is corresponding that original light source brightness, the average gray-scale value of image to be shown and preset brightness regulation coefficient formula calculate image to be shown
The brightness regulation coefficient and corresponding brightness regulation coefficient of image to be shown is corresponding with the color temperature value of image to be shown original
Light-source brightness, which is multiplied, obtains the corresponding actual light source brightness of image to be shown, according to the corresponding actual light source brightness of image to be shown
And the corresponding RGB grayscale value of color temperature value of image to be shown carries out luminous, the red channel of intelligent bulbs, green when shining
The grayscale value of channel and blue channel is respectively the red grayscale in the corresponding RGB grayscale value of color temperature value of image to be shown
Value, green grayscale value and blue grayscale value, the light emission luminance of intelligent bulbs is the corresponding actual light source of image to be shown when shining
Brightness.
The image to be shown includes in multiple pixels of array arrangement, and each pixel includes red sub-pixel, green
Sub-pixel and blue subpixels, each red sub-pixel, green sub-pixels and blue subpixels have a grayscale value.
Processing unit described in the step S2 calculates the detailed process of the average gray-scale value of image to be shown are as follows: obtain to
Show the average value of the average value of grayscale value, the grayscale value of multiple green sub-pixels of multiple red sub-pixels in image, multiple
The average value of the grayscale value of blue subpixels utilizes the average value of the grayscale value of multiple red sub-pixels, multiple green sub-pixels
The average value of grayscale value, multiple blue subpixels grayscale value average value and preset average gray-scale value calculation formula calculate
The average gray-scale value of image to be shown.
The preset average gray-scale value calculation formula are as follows:
GYave=Rave×0.299+Gave×0.587+Bave×0.114；
Wherein, GYaveFor the average gray-scale value of image to be shown, RaveIt is averaged for the grayscale value of multiple red sub-pixels
Value, GaveFor the average value of the grayscale value of multiple green sub-pixels, BaveFor the average value of the grayscale value of multiple blue subpixels.
The preset brightness regulation coefficient formula are as follows:
Lβ=100 × (GYave/255)^Lα；
Wherein, LβFor the corresponding brightness regulation coefficient of image to be shown, LαFor the corresponding brightness ratio system of image to be shown
Number, Lα=LV/LVmax, LVFor the corresponding original light source brightness of color temperature value of image to be shown, LVmaxFor in look-up table respectively with it is more
Maximum value in the corresponding multiple original light source brightness of a reference color temperature value.
Beneficial effects of the present invention: display system of the invention using processing unit calculate image to be shown color temperature value and
Average gray-scale value, display show image to be shown, and intelligent bulbs calculate the color temperature value pair with image to be shown using look-up table
The RGB grayscale value answered and original light source brightness, using original light source brightness corresponding with the color temperature value of image to be shown, to
Show that the average gray-scale value of image and preset brightness regulation coefficient formula calculate the corresponding brightness regulation coefficient of image to be shown
And the original light source brightness multiplication corresponding with the color temperature value of image to be shown of the corresponding brightness regulation coefficient of image to be shown is obtained
The corresponding actual light source brightness of image to be shown, according to the corresponding actual light source brightness of image to be shown and image to be shown
The corresponding RGB grayscale value of color temperature value carries out luminous, telepresenc enhancing when user being enabled to watch image, user's body
Test enhancing.Telepresenc enhancing when the driving method of display system of the invention enables to user to watch image, user's body
Test enhancing.
Detailed description of the invention
For further understanding of the features and technical contents of the present invention, it please refers to below in connection with of the invention detailed
Illustrate and attached drawing, however, the drawings only provide reference and explanation, is not intended to limit the present invention.
In attached drawing,
Fig. 1 is the structural schematic diagram of display system of the invention；
Fig. 2 is the flow chart of the driving method of display system of the invention；
Fig. 3 is the color that processing unit calculates image to be shown in an embodiment of the driving method of display system of the invention
The schematic diagram of the chromatogram provided when temperature value.
Specific embodiment
Further to illustrate technological means and its effect adopted by the present invention, below in conjunction with preferred implementation of the invention
Example and its attached drawing are described in detail.
Referring to Fig. 1, the present invention provides a kind of display system, including processing unit 10 and processing unit 10 are electrically connected
Display 20 and with processing unit 10 be electrically connected intelligent bulbs 30.
The processing unit 10 accesses image to be shown and calculates the color temperature value and average gray-scale value of image to be shown, will be to
Show that image transmission is transmitted to intelligent bulbs 30 to display and by the color temperature value of image to be shown and average gray-scale value.
The display 20 shows the image to be shown after receiving image to be shown.
The intelligent bulbs 30 are stored with look-up table, the look-up table include multiple preset reference color temperature value, respectively with
The corresponding multiple groups RGB grayscale value of multiple reference color temperature value and respectively multiple original light sources corresponding with multiple reference color temperature value
Brightness.The intelligent bulbs 30 after the color temperature value and average gray-scale value for receiving image to be shown, using look-up table calculate with
The corresponding RGB grayscale value of the color temperature value of image to be shown and original light source brightness, utilize the color temperature value pair with image to be shown
The average gray-scale value of the original light source brightness, image to be shown answered and preset brightness regulation coefficient formula calculate image to be shown
Corresponding brightness regulation coefficient is simultaneously corresponding with the color temperature value of image to be shown by the corresponding brightness regulation coefficient of image to be shown
Original light source brightness, which is multiplied, obtains the corresponding actual light source brightness of image to be shown, according to the corresponding actual light source of image to be shown
The corresponding RGB grayscale value of the color temperature value of brightness and image to be shown carries out luminous, and the red of intelligent bulbs 30 is logical when shining
The grayscale value in road, green channel and blue channel is respectively red in the corresponding RGB grayscale value of color temperature value of image to be shown
Color grayscale value, green grayscale value and blue grayscale value, the light emission luminance of intelligent bulbs 30 is that image to be shown is corresponding when shining
Actual light source brightness.
Specifically, the image to be shown includes in multiple pixels of array arrangement, and each pixel includes red sub- picture
Element, green sub-pixels and blue subpixels, each red sub-pixel, green sub-pixels and blue subpixels have a grayscale value.
Specifically, the processing unit 10 calculates the detailed process of the average gray-scale value of image to be shown are as follows: obtains to aobvious
Show the average value of the grayscale value of multiple red sub-pixels in image, the average value of the grayscale value of multiple green sub-pixels, Duo Gelan
The average value of the grayscale value of sub-pixels utilizes the average value of the grayscale value of multiple red sub-pixels, multiple green sub-pixels
The average value of grayscale value, multiple blue subpixels grayscale value average value and preset average gray-scale value calculation formula calculate to
Show the average gray-scale value of image.
Further, the preset average gray-scale value calculation formula are as follows:
GYave=Rave×0.299+Gave×0.587+Bave×0.114。
Wherein, GYaveFor the average gray-scale value of image to be shown, RaveIt is averaged for the grayscale value of multiple red sub-pixels
Value, GaveFor the average value of the grayscale value of multiple green sub-pixels, BaveFor the average value of the grayscale value of multiple blue subpixels.
Specifically, the preset brightness regulation coefficient formula are as follows:
Lβ=100 × (GYave/255)^Lα。
Wherein, LβFor the corresponding brightness regulation coefficient of image to be shown, LαFor the corresponding brightness ratio system of image to be shown
Number, Lα=LV/LVmax, LVFor the corresponding original light source brightness of color temperature value of image to be shown, LVmaxFor in look-up table respectively with it is more
Maximum value in the corresponding multiple original light source brightness of a reference color temperature value.The model of the corresponding brightness regulation coefficient of image to be shown
It encloses for 0-100.
Specifically, the production method of the look-up table specifically: multiple reference color temperature value are set, to the red of intelligent bulbs 30
The grayscale value of chrominance channel, green channel and blue channel, which is adjusted, makes its presentation different-colour that shines.It is surveyed with color analysis instrument
Measure the coordinate that intelligent bulbs 30 shine when multiple reference color temperatures are presented in corresponding chromatogram, to the coordinate in multiple chromatograms into
Row conversion, obtains multiple RGB grayscale values corresponding with multiple reference color temperatures respectively.It is more to measure the luminous presentation of intelligent bulbs 30
Original light emission luminance when a reference color temperature obtains multiple original light emission luminance corresponding with multiple reference color temperatures respectively, thus
Look-up table is made.
Preferably, the smallest in the multiple reference color temperature is 1000K, and maximum is 15000K.Two neighboring reference color
The difference of temperature is 500k.
Specifically, the processing unit 10 calculates image to be shown by the way of based on correlated colour temperature and chromaticity coordinates subregion
Color temperature value, the detailed process that processing unit 10 calculates the color temperature value of image to be shown includes the following steps:
Step S21, statistical form is established.The statistical form include the multiple node colour temperatures being sequentially increased and respectively with multiple sections
The corresponding multiple weights of point colour temperature, the multiple node colour temperature include preset minimum colour temperature 1000K, preset maximum colour temperature
15000K and multiple intermediate colour temperatures, multiple weights are 0.
Step S22, referring to Fig. 3, providing CIE1931 chromatogram, the color gamut space in CIE1931 chromatogram is divided into
Connected the first area A, the second area B and third area C two-by-two.The boundary line of first area A and the second area B, the second area B and third area C
Boundary line and third area C and the first area A boundary line converge at reference point an O, the reference point O coordinate be (0.332,
0.1858), the boundary line of the first area A and the second area B isotemperature line corresponding with maximum colour temperature are overlapped, the first area A and third area C
Boundary line isotemperature line corresponding with minimum colour temperature be overlapped, the boundary line of the second area B and third area C are parallel to CIE1931 color
The y-axis of spectrogram.
Step S23, one in multiple pixels of image to be shown is chosen as processing pixel.Red of pixel will be handled
The grayscale value of pixel, green sub-pixels and blue subpixels is converted to the chromaticity coordinates that pixel is handled in CIE1931 chromatogram, specifically
Conversion regime using in the prior art it is general RGB grayscale value is converted into chromaticity coordinates by the way of, it is no longer superfluous herein
It states.
Step S24, position of the chromaticity coordinates of judgement processing pixel in color gamut space.If the chromaticity coordinates of processing pixel is located at
First area A, such as P (A) point in Fig. 3, then according to the chromaticity coordinates and preset pixel colour temperature calculation formula meter for handling pixel
Calculate the color temperature value of processing pixel, preset pixel colour temperature calculation formula are as follows: CT=-437 × n3+3601×n2-6861×n+
5514.31.Wherein, CT is pixel color temperature value,Judge to handle whether the color temperature value of pixel is multiple node colour temperatures
In one, if then 1 will be increased with the corresponding weight of the processing color temperature value of pixel in statistical form, otherwise will handle the color of pixel
It temperature value and 1 is increased in statistical form respectively as node colour temperature and its corresponding weight.If the chromaticity coordinates for handling pixel is located at the
Two area B, such as P (B) point in Fig. 3, the boundary line of line and the first area A and the second area B between the point and reference point O
Between angle be α 1, and the angle between the boundary line and the second area B and the boundary line of third area C of the first area A and the second area B be β
1, foundation handles the boundary line of the line and the first area A and the second area B of point and reference point corresponding to the chromaticity coordinates of pixel at this time
Between angle namely α 1, preset first weighted value calculation formula calculation processing pixel weighted value, and the weighted value is added
Weight corresponding with maximum colour temperature namely 15000K, preset first weighted value calculation formula in statistical form are as follows: 1/ β of γ 1=1- α
1.Wherein, γ 1 is to handle the weighted value that pixel is handled when the chromaticity coordinates of pixel is located at the second area B, and α 1 be the color seat of processing pixel
Angle between the corresponding point of mark and the line and the first area A and the boundary line of the second area B of reference point, β 1 are the first area A and the
Angle between the boundary line of two area B and the second area domain B and the boundary line of third area C.If the chromaticity coordinates of processing pixel is located at third
Area C, such as P (C) point in Fig. 3, between the line and the first area A and the boundary line of third area C between the point and reference point O
Angle be α 2, and the angle between the boundary line and the second area B and the boundary line of third area C of the first area A and third area C be β 2,
At this time corresponding to the chromaticity coordinates according to processing pixel between point and the line and the first area A and the boundary line of third area C of reference point
Angle namely α 2, preset second weighted value calculation formula calculation processing pixel weighted value, and by the weighted value be added unite
Count weight corresponding with minimum colour temperature namely 1000K in table, preset second weighted value calculation formula are as follows: 2/ β 2 of γ 2=1- α.
Wherein, γ 2 is to handle the weighted value that pixel is handled when the chromaticity coordinates of pixel is located at third area C, and α 2 is the chromaticity coordinates of processing pixel
Angle between the line and the first area A and the boundary line of third area C of corresponding point and reference point, β 2 are the first area A and third
Angle between the boundary line of area C and the second area domain B and the boundary line of third area C.
Step S25, step S23 and S24 are repeated, until multiple pixels are performed both by step S23 and S24.
Step S26, by node colour temperature each in statistical form and corresponding multiplied by weight, by multiple node colour temperatures with it is corresponding
The sum of the sum of products of weight weight corresponding with multiple node colour temperatures is divided by, and the color temperature value of image to be shown is obtained.
It should be noted that display system of the invention calculates the color temperature value of image to be shown using processing unit 10 and puts down
Equal grayscale value, display 20 show image to be shown, and intelligent bulbs 30 calculate the color temperature value with image to be shown using look-up table
Corresponding RGB grayscale value and original light source brightness, using original light source brightness corresponding with the color temperature value of image to be shown,
The average gray-scale value of image to be shown and preset brightness regulation coefficient formula calculate the corresponding brightness regulation system of image to be shown
The original light source brightness corresponding with the color temperature value of image to be shown of the corresponding brightness regulation coefficient of image to be shown is simultaneously multiplied by number
The corresponding actual light source brightness of image to be shown is obtained, according to the corresponding actual light source brightness of image to be shown and image to be shown
The corresponding RGB grayscale value of color temperature value carry out luminous, brightness when intelligent bulbs 30 shine and colour temperature are with image to be shown
Brightness and colour temperature change, when different-colour, introduces the brightness of different brightness regulation coefficient adjustment intelligent bulbs 30, delays
Solution enables to telepresenc when user's viewing image to enhance since the uneven bring of bulb brightness is uncomfortable, user
Experience enhancing.
Referring to Fig. 2, based on the same inventive concept, the present invention also provides a kind of driving methods of display system, including such as
Lower step:
Step S1, display system is provided.The display system includes that processing unit 10 and processing unit 10 are electrically connected
Display 20 and the intelligent bulbs 30 being electrically connected with processing unit 10.The intelligent bulbs 30 are stored with look-up table, described
Look-up table include multiple preset reference color temperature value, respectively multiple groups RGB grayscale value corresponding with multiple reference color temperature value and point
Multiple original light source brightness not corresponding with multiple reference color temperature value.
Specifically, the production method of the look-up table specifically: multiple reference color temperature value are set, to the red of intelligent bulbs 30
The grayscale value of chrominance channel, green channel and blue channel, which is adjusted, makes its presentation different-colour that shines.It is surveyed with color analysis instrument
Measure the coordinate that intelligent bulbs 30 shine when multiple reference color temperatures are presented in corresponding chromatogram, to the coordinate in multiple chromatograms into
Row conversion, obtains multiple RGB grayscale values corresponding with multiple reference color temperatures respectively.It is more to measure the luminous presentation of intelligent bulbs 30
Original light emission luminance when a reference color temperature obtains multiple original light emission luminance corresponding with multiple reference color temperatures respectively, thus
Look-up table is made.
Preferably, the smallest in the multiple reference color temperature is 1000K, and maximum is 15000K.Two neighboring reference color
The difference of temperature is 500k.
Step S2, the described processing unit 10 access image to be shown and calculate image to be shown color temperature value and average grayscale
Value, is transmitted to intelligent bulbs by image transmission to be shown to display and by the color temperature value of image to be shown and average gray-scale value
30。
Specifically, the image to be shown includes in multiple pixels of array arrangement, and each pixel includes red sub- picture
Element, green sub-pixels and blue subpixels, each red sub-pixel, green sub-pixels and blue subpixels have a grayscale value.
Specifically, processing unit 10 described in the step S2 calculates the detailed process of the average gray-scale value of image to be shown
Are as follows: obtain the average value of the grayscale value of multiple red sub-pixels in image to be shown, multiple green sub-pixels grayscale value it is flat
Mean value, multiple blue subpixels grayscale value average value, utilize the average value of the grayscale value of multiple red sub-pixels, multiple green
The average value of the grayscale value of sub-pixels, multiple blue subpixels grayscale value average value and preset average gray-scale value calculate
Formula calculates the average gray-scale value of image to be shown.
Further, the preset average gray-scale value calculation formula are as follows:
GYave=Rave×0.299+Gave×0.587+Bave×0.114。
Wherein, GYaveFor the average gray-scale value of image to be shown, RaveIt is averaged for the grayscale value of multiple red sub-pixels
Value, GaveFor the average value of the grayscale value of multiple green sub-pixels, BaveFor the average value of the grayscale value of multiple blue subpixels.
Specifically, in the step S2, the processing unit 10 is by the way of based on correlated colour temperature and chromaticity coordinates subregion
The color temperature value of image to be shown is calculated, the detailed process that processing unit 10 calculates the color temperature value of image to be shown includes following step
It is rapid:
Step S21, statistical form is established.The statistical form include the multiple node colour temperatures being sequentially increased and respectively with multiple sections
The corresponding multiple weights of point colour temperature, the multiple node colour temperature include preset minimum colour temperature 1000K, preset maximum colour temperature
15000K and multiple intermediate colour temperatures, multiple weights are 0.
Step S22, referring to Fig. 3, providing CIE1931 chromatogram, the color gamut space in CIE1931 chromatogram is divided into
Connected the first area A, the second area B and third area C two-by-two.The boundary line of first area A and the second area B, the second area B and third area C
Boundary line and third area C and the first area A boundary line converge at reference point an O, the reference point O coordinate be (0.332,
0.1858), the boundary line of the first area A and the second area B isotemperature line corresponding with maximum colour temperature are overlapped, the first area A and third area C
Boundary line isotemperature line corresponding with minimum colour temperature be overlapped, the boundary line of the second area B and third area C are parallel to CIE1931 color
The y-axis of spectrogram.
Step S23, one in multiple pixels of image to be shown is chosen as processing pixel.Red of pixel will be handled
The grayscale value of pixel, green sub-pixels and blue subpixels is converted to the chromaticity coordinates that pixel is handled in CIE1931 chromatogram, specifically
Conversion regime using in the prior art it is general RGB grayscale value is converted into chromaticity coordinates by the way of, it is no longer superfluous herein
It states.
Step S24, position of the chromaticity coordinates of judgement processing pixel in color gamut space.If the chromaticity coordinates of processing pixel is located at
First area A, such as P (A) point in Fig. 3, then according to the chromaticity coordinates and preset pixel colour temperature calculation formula meter for handling pixel
Calculate the color temperature value of processing pixel, preset pixel colour temperature calculation formula are as follows: CT=-437 × n3+3601×n2-6861×n+
5514.31.Wherein, CT is pixel color temperature value,Judge to handle whether the color temperature value of pixel is multiple node colour temperatures
In one, if then 1 will be increased with the corresponding weight of the processing color temperature value of pixel in statistical form, otherwise will handle the color of pixel
It temperature value and 1 is increased in statistical form respectively as node colour temperature and its corresponding weight.If the chromaticity coordinates for handling pixel is located at the
Two area B, such as P (B) point in Fig. 3, the boundary line of line and the first area A and the second area B between the point and reference point O
Between angle be α 1, and the angle between the boundary line and the second area B and the boundary line of third area C of the first area A and the second area B be β
1, foundation handles the boundary line of the line and the first area A and the second area B of point and reference point corresponding to the chromaticity coordinates of pixel at this time
Between angle namely α 1, preset first weighted value calculation formula calculation processing pixel weighted value, and the weighted value is added
Weight corresponding with maximum colour temperature namely 15000K, preset first weighted value calculation formula in statistical form are as follows: 1/ β of γ 1=1- α
1.Wherein, γ 1 is to handle the weighted value that pixel is handled when the chromaticity coordinates of pixel is located at the second area B, and α 1 be the color seat of processing pixel
Angle between the corresponding point of mark and the line and the first area A and the boundary line of the second area B of reference point, β 1 are the first area A and the
Angle between the boundary line of two area B and the second area domain B and the boundary line of third area C.If the chromaticity coordinates of processing pixel is located at third
Area C, such as P (C) point in Fig. 3, between the line and the first area A and the boundary line of third area C between the point and reference point O
Angle be α 2, and the angle between the boundary line and the second area B and the boundary line of third area C of the first area A and third area C be β 2,
At this time corresponding to the chromaticity coordinates according to processing pixel between point and the line and the first area A and the boundary line of third area C of reference point
Angle namely α 2, preset second weighted value calculation formula calculation processing pixel weighted value, and by the weighted value be added unite
Count weight corresponding with minimum colour temperature namely 1000K in table, preset second weighted value calculation formula are as follows: 2/ β 2 of γ 2=1- α.
Wherein, γ 2 is to handle the weighted value that pixel is handled when the chromaticity coordinates of pixel is located at third area C, and α 2 is the chromaticity coordinates of processing pixel
Angle between the line and the first area A and the boundary line of third area C of corresponding point and reference point, β 2 are the first area A and third
Angle between the boundary line of area C and the second area domain B and the boundary line of third area C.
Step S25, step S23 and S24 are repeated, until multiple pixels are performed both by step S23 and S24.
Step S26, by node colour temperature each in statistical form and corresponding multiplied by weight, by multiple node colour temperatures with it is corresponding
The sum of the sum of products of weight weight corresponding with multiple node colour temperatures is divided by, and the color temperature value of image to be shown is obtained.
Step S3, the described display 20 shows the image to be shown.The intelligent bulbs 30 using look-up table calculate with
The corresponding RGB grayscale value of the color temperature value of image to be shown and original light source brightness, utilize the color temperature value pair with image to be shown
The average gray-scale value of the original light source brightness, image to be shown answered and preset brightness regulation coefficient formula calculate image to be shown
Corresponding brightness regulation coefficient is simultaneously corresponding with the color temperature value of image to be shown by the corresponding brightness regulation coefficient of image to be shown
Original light source brightness, which is multiplied, obtains the corresponding actual light source brightness of image to be shown, according to the corresponding actual light source of image to be shown
The corresponding RGB grayscale value of the color temperature value of brightness and image to be shown carries out luminous, and the red of intelligent bulbs 30 is logical when shining
The grayscale value in road, green channel and blue channel is respectively red in the corresponding RGB grayscale value of color temperature value of image to be shown
Color grayscale value, green grayscale value and blue grayscale value, the light emission luminance of intelligent bulbs 30 is that image to be shown is corresponding when shining
Actual light source brightness.
Specifically, the preset brightness regulation coefficient formula are as follows:
Lβ=100 × (GYave/255)^Lα。
Wherein, LβFor the corresponding brightness regulation coefficient of image to be shown, LαFor the corresponding brightness ratio system of image to be shown
Number, Lα=LV/LVmax, LVFor the corresponding original light source brightness of color temperature value of image to be shown, LVmaxFor in look-up table respectively with it is more
Maximum value in the corresponding multiple original light source brightness of a reference color temperature value.The corresponding brightness regulation coefficient of image to be shown takes
Value range is 0-100.
It should be noted that calculating shadow to be shown using processing unit 10 in the driving method of display system of the invention
The color temperature value and average gray-scale value of picture, display 20 show image to be shown, and intelligent bulbs 30 are calculated using look-up table and to aobvious
Show the corresponding RGB grayscale value of the color temperature value of image and original light source brightness, using corresponding with the color temperature value of image to be shown
It is corresponding that original light source brightness, the average gray-scale value of image to be shown and preset brightness regulation coefficient formula calculate image to be shown
The brightness regulation coefficient and corresponding brightness regulation coefficient of image to be shown is corresponding with the color temperature value of image to be shown original
Light-source brightness, which is multiplied, obtains the corresponding actual light source brightness of image to be shown, according to the corresponding actual light source brightness of image to be shown
And the corresponding RGB grayscale value of color temperature value of image to be shown carries out luminous, the brightness and colour temperature when intelligent bulbs 30 shine are equal
It changes with the brightness and colour temperature of image to be shown, when different-colour introduces different brightness regulation coefficient adjustment intelligent bulbs
30 brightness is alleviated since the uneven bring of bulb brightness is uncomfortable, and enables to coming personally when user's viewing image
Sense enhancing, user experience enhancing.
In conclusion display system of the invention using processing unit calculate image to be shown color temperature value and average grayscale
Value, display show image to be shown, and intelligent bulbs are calculated corresponding with the color temperature value of image to be shown red green using look-up table
Blue grayscale value and original light source brightness utilize original light source brightness corresponding with the color temperature value of image to be shown, image to be shown
Average gray-scale value and preset brightness regulation coefficient formula calculate the corresponding brightness regulation coefficient of image to be shown and will be to aobvious
It is to be shown to show that the original light source brightness multiplication corresponding with the color temperature value of image to be shown of the corresponding brightness regulation coefficient of image obtains
The corresponding actual light source brightness of image, according to the corresponding actual light source brightness of image to be shown and the color temperature value pair of image to be shown
The RGB grayscale value answered carries out luminous, telepresenc enhancing when user being enabled to watch image, user experience enhancing.This
Telepresenc enhancing when the driving method of the display system of invention enables to user to watch image, user experience enhancing.
The above for those of ordinary skill in the art can according to the technique and scheme of the present invention and technology
Other various corresponding changes and modifications are made in design, and all these change and modification all should belong to the claims in the present invention
Protection scope.
Claims (10)
1. a kind of display system, which is characterized in that including processing unit (10), the display being electrically connected with processing unit (10)
(20) and with processing unit (10) intelligent bulbs (30) being electrically connected；
The processing unit (10) accesses image to be shown and calculates the color temperature value and average gray-scale value of image to be shown, will be to aobvious
Show that image transmission is transmitted to intelligent bulbs (30) to display and by the color temperature value of image to be shown and average gray-scale value；
The display (20) shows the image to be shown after receiving image to be shown；
The intelligent bulbs (30) are stored with look-up table, the look-up table include multiple preset reference color temperature value, respectively with it is more
The corresponding multiple groups RGB grayscale value of a reference color temperature value and multiple original light sources corresponding with multiple reference color temperature value are bright respectively
Degree；The intelligent bulbs (30) after the color temperature value and average gray-scale value for receiving image to be shown, using look-up table calculate with
The corresponding RGB grayscale value of the color temperature value of image to be shown and original light source brightness, utilize the color temperature value pair with image to be shown
The average gray-scale value of the original light source brightness, image to be shown answered and preset brightness regulation coefficient formula calculate image to be shown
Corresponding brightness regulation coefficient is simultaneously corresponding with the color temperature value of image to be shown by the corresponding brightness regulation coefficient of image to be shown
Original light source brightness, which is multiplied, obtains the corresponding actual light source brightness of image to be shown, according to the corresponding actual light source of image to be shown
The corresponding RGB grayscale value of the color temperature value of brightness and image to be shown carries out luminous, and the red of intelligent bulbs (30) is logical when shining
The grayscale value in road, green channel and blue channel is respectively red in the corresponding RGB grayscale value of color temperature value of image to be shown
Color grayscale value, green grayscale value and blue grayscale value, the light emission luminance of intelligent bulbs (30) is corresponding for image to be shown when shining
Actual light source brightness.
2. display system as described in claim 1, which is characterized in that the image to be shown includes in the more of array arrangement
A pixel, each pixel include red sub-pixel, green sub-pixels and blue subpixels, each red sub-pixel, the sub- picture of green
Element and blue subpixels have a grayscale value.
3. display system as claimed in claim 2, which is characterized in that the processing unit (10) calculates the flat of image to be shown
The detailed process of equal grayscale value are as follows: obtain the average value of the grayscale value of multiple red sub-pixels in image to be shown, multiple greens
The average value of the grayscale value of sub-pixel, multiple blue subpixels grayscale value average value, utilize the ash of multiple red sub-pixels
The average value of rank value, the average value of the grayscale value of multiple green sub-pixels, multiple blue subpixels grayscale value average value and
Preset average gray-scale value calculation formula calculates the average gray-scale value of image to be shown.
4. display system as claimed in claim 3, which is characterized in that the preset average gray-scale value calculation formula are as follows:
GYave=Rave×0.299+Gave×0.587+Bave×0.114；
Wherein, GYaveFor the average gray-scale value of image to be shown, RaveFor the average value of the grayscale value of multiple red sub-pixels, Gave
For the average value of the grayscale value of multiple green sub-pixels, BaveFor the average value of the grayscale value of multiple blue subpixels.
5. display system as described in claim 1, which is characterized in that the preset brightness regulation coefficient formula are as follows:
Lβ=100 × (GYave/255)^Lα；
Wherein, LβFor the corresponding brightness regulation coefficient of image to be shown, LαFor the corresponding brightness ratio coefficient of image to be shown, Lα
=LV/LVmax, LVFor the corresponding original light source brightness of color temperature value of image to be shown, LVmaxFor in look-up table respectively with multiple ginsengs
Examine the maximum value in the corresponding multiple original light source brightness of color temperature value.
6. a kind of driving method of display system, which comprises the steps of:
Step S1, display system is provided；The display system includes that processing unit (10) and processing unit (10) are electrically connected
Display (20) and the intelligent bulbs (30) being electrically connected with processing unit (10)；The intelligent bulbs (30) are stored with lookup
Table, the look-up table include multiple preset reference color temperature value, respectively multiple groups RGB ash corresponding with multiple reference color temperature value
Rank value and respectively multiple original light source brightness corresponding with multiple reference color temperature value；
Step S2, the processing unit (10) access image to be shown and calculate image to be shown color temperature value and average grayscale
Value, is transmitted to intelligent bulbs by image transmission to be shown to display and by the color temperature value of image to be shown and average gray-scale value
(30)；
Step S3, the described display (20) shows the image to be shown；The intelligent bulbs (30) using look-up table calculate with
The corresponding RGB grayscale value of the color temperature value of image to be shown and original light source brightness, utilize the color temperature value pair with image to be shown
The average gray-scale value of the original light source brightness, image to be shown answered and preset brightness regulation coefficient formula calculate image to be shown
Corresponding brightness regulation coefficient is simultaneously corresponding with the color temperature value of image to be shown by the corresponding brightness regulation coefficient of image to be shown
Original light source brightness, which is multiplied, obtains the corresponding actual light source brightness of image to be shown, according to the corresponding actual light source of image to be shown
The corresponding RGB grayscale value of the color temperature value of brightness and image to be shown carries out luminous, and the red of intelligent bulbs (30) is logical when shining
The grayscale value in road, green channel and blue channel is respectively red in the corresponding RGB grayscale value of color temperature value of image to be shown
Color grayscale value, green grayscale value and blue grayscale value, the light emission luminance of intelligent bulbs (30) is corresponding for image to be shown when shining
Actual light source brightness.
7. the driving method of display system as claimed in claim 6, which is characterized in that the image to be shown includes in array
Multiple pixels of formula arrangement, each pixel includes red sub-pixel, green sub-pixels and blue subpixels, each sub- picture of red
Element, green sub-pixels and blue subpixels have a grayscale value.
8. the driving method of display system as claimed in claim 7, which is characterized in that processing unit described in the step S2
(10) detailed process of the average gray-scale value of image to be shown is calculated are as follows: obtain the ash of multiple red sub-pixels in image to be shown
The average value of rank value, the average value of the grayscale value of multiple green sub-pixels, multiple blue subpixels grayscale value average value, benefit
With the average value of the grayscale value of multiple red sub-pixels, the average value of the grayscale value of multiple green sub-pixels, multiple sub- pictures of blue
The average value of the grayscale value of element and preset average gray-scale value calculation formula calculate the average gray-scale value of image to be shown.
9. the driving method of display system as claimed in claim 8, which is characterized in that the preset average gray-scale value calculates
Formula are as follows:
GYave=Rave×0.299+Gave×0.587+Bave×0.114；
Wherein, GYaveFor the average gray-scale value of image to be shown, RaveFor the average value of the grayscale value of multiple red sub-pixels, Gave
For the average value of the grayscale value of multiple green sub-pixels, BaveFor the average value of the grayscale value of multiple blue subpixels.
10. the driving method of display system as claimed in claim 6, which is characterized in that the preset brightness regulation coefficient
Formula are as follows:
Lβ=100 × (GYave/255)^Lα；
Wherein, LβFor the corresponding brightness regulation coefficient of image to be shown, LαFor the corresponding brightness ratio coefficient of image to be shown, Lα
=LV/LVmax, LVFor the corresponding original light source brightness of color temperature value of image to be shown, LVmaxFor in look-up table respectively with multiple ginsengs
Examine the maximum value in the corresponding multiple original light source brightness of color temperature value.
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