CN109147713B - Image data processing method and time schedule controller - Google Patents
Image data processing method and time schedule controller Download PDFInfo
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- CN109147713B CN109147713B CN201710457113.8A CN201710457113A CN109147713B CN 109147713 B CN109147713 B CN 109147713B CN 201710457113 A CN201710457113 A CN 201710457113A CN 109147713 B CN109147713 B CN 109147713B
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- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/10—Intensity circuits
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- G09G2320/00—Control of display operating conditions
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- G09G2320/0626—Adjustment of display parameters for control of overall brightness
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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
- G09G2320/00—Control of display operating conditions
- G09G2320/06—Adjustment of display parameters
- G09G2320/0673—Adjustment of display parameters for control of gamma adjustment, e.g. selecting another gamma curve
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Abstract
The invention provides an image data processing method and a time schedule controller. The image data processing method comprises the following steps: performing gamma conversion on the input image data according to the gamma parameter, and determining first minimum brightness data of the input image data; converting the input image data from an RGB color gamut to an HSV color gamut, and increasing the maximum brightness data of the converted input image data to a boundary value; determining second minimum brightness data according to the converted input image data, and determining a reference coefficient according to the second minimum brightness data; the method comprises the steps of determining to output red brightness data, green brightness data and blue brightness data according to first minimum brightness data and a reference coefficient, and determining to output white brightness data according to the first minimum brightness data. The image data processing method of the invention can effectively drive the RGBW display panel by the output image data generated by the time schedule controller, and can ensure that the RGBW display panel provides good display quality.
Description
Technical Field
The present invention relates to data processing technologies, and more particularly, to an image data processing method and a timing controller.
Background
With the progress of technology, Liquid Crystal Displays (LCDs) and Organic Light Emitting Diodes (OLEDs) have been widely used in various Display devices such as mobile phones, tablet computers, and televisions. In general, in order to more effectively utilize the backlight brightness of the lcd, a white sub-pixel (W) is added to an RGB display panel (Red-Green-Blue) of a conventional display to increase the transmittance of the display panel. However, driving the RGBW display panel (Red-Green-Blue-White) with the RGB input image data results in a dark luminance of the Red pixel (R), the Green pixel (G) and the Blue pixel (B) in the RGBW display panel. Moreover, the gamma parameter (gamma) of each color display result of the RGBW display panel may be shifted, which may result in poor display effect or color distortion of the RGBW display panel. Therefore, how to effectively drive the RGBW display panel according to the RGB input image data so that the color display effect of the RGBW display panel can approach the color display effect of the conventional RGB display panel is an important issue at present.
Disclosure of Invention
The invention provides an image data processing method and a time schedule controller, which can convert input image data with RGB pixel data to generate output image data with RGBW pixel data and can effectively drive an RGBW display panel by the output image data.
The image data processing method of the invention comprises the following steps: performing gamma conversion on the input image data according to the gamma parameter, and determining first minimum brightness data of the input image data; converting the input image data from an RGB color gamut to an HSV color gamut, and increasing the maximum brightness data of the converted input image data to a boundary value; determining second minimum brightness data according to the converted input image data, and determining a reference coefficient according to the second minimum brightness data; and determining to output red brightness data, green brightness data and blue brightness data according to the first minimum brightness data and the reference coefficient, and determining to output white brightness data according to the first minimum brightness data.
In an embodiment of the invention, the image data processing method further includes the following steps: according to the gamma parameter, the gamma conversion is carried out on the input red pixel data, the input green pixel data and the input blue pixel data of the input image data to generate input red brightness data, input green brightness data and input blue brightness data.
In an embodiment of the invention, the gamma parameter is 2.2.
In an embodiment of the invention, the step of determining the first minimum luminance data of the input image data includes: the input image data is subjected to gamma conversion to obtain input red brightness data, input green brightness data and input blue brightness data, and the sizes of the input red brightness data, the input green brightness data and the input blue brightness data are judged to determine first minimum brightness data.
In an embodiment of the invention, the step of determining the second minimum luminance data according to the converted input image data includes: converting the maximum hue data, the maximum saturation data and the maximum brightness data of the converted input image data from the HSV color gamut to the RGB color gamut to obtain corresponding maximum red pixel data, maximum green pixel data and maximum blue pixel data; and judging the size of the maximum red pixel data, the maximum green pixel data and the maximum blue pixel data to obtain minimum pixel data, and converting the minimum pixel data into second minimum brightness data through gamma conversion.
In an embodiment of the invention, the step of determining to output the red luminance data, the green luminance data and the blue luminance data according to the first minimum luminance data and the reference coefficient further includes: and performing gamma inverse conversion on the output red brightness data, the output green brightness data, the output blue brightness data and the output white brightness data according to the gamma parameters to generate output red pixel data, output green pixel data, output blue pixel data and output white pixel data.
The time schedule controller is suitable for converting input image data to generate output image data to the driving circuit and driving the display panel through the driving circuit. And the time schedule controller is provided with a color conversion module. The color conversion module comprises a gamma conversion module, a color gamut conversion module and a processing module. The gamma conversion module is used for executing gamma conversion to the input image data according to the gamma parameter. The color gamut conversion module is used for performing color gamut conversion between an RGB color gamut and an HSV color gamut on input image data. The processing module is used for increasing the maximum brightness data of the converted input image data to a boundary value. The processing module determines second minimum brightness data according to the converted input image data and determines a reference coefficient according to the second minimum brightness data. The processing module determines to output red brightness data, green brightness data and blue brightness data according to the first minimum brightness data and the reference coefficient, and determines to output white brightness data according to the first minimum brightness data.
In an embodiment of the invention, the gamma conversion module converts the input red pixel data, the input green pixel data and the input blue pixel data of the input image data into the input red luminance data, the input green luminance data and the input blue luminance data according to the gamma parameter.
In an embodiment of the invention, the gamma parameter is 2.2.
In an embodiment of the invention, the gamma conversion module obtains input red luminance data, input green luminance data and input blue luminance data from the input image data through gamma conversion, and the processing module determines sizes of the input red luminance data, the input green luminance data and the input blue luminance data to determine the first minimum luminance data.
In an embodiment of the invention, the color gamut conversion module converts the maximum hue data, the maximum saturation data and the maximum brightness data of the converted input image data from the HSV color gamut to the RGB color gamut, so that the processing module obtains corresponding maximum red pixel data, maximum green pixel data and maximum blue pixel data. The processing module judges the size of the maximum red pixel data, the maximum green pixel data and the maximum blue pixel data to determine the minimum pixel data, and the gamma conversion module converts the minimum pixel data into second minimum brightness data through gamma conversion.
In an embodiment of the invention, the gamma conversion module performs a gamma inverse conversion on the output red luminance data, the output green luminance data, the output blue luminance data and the output white luminance data according to the gamma parameter to generate output red pixel data, output green pixel data, output blue pixel data and output white pixel data.
Based on the above, the image data processing method of the present invention can convert the input image data from the RGB color gamut to the HSV color gamut by the timing controller, adjust the maximum brightness value of the converted input image data to the maximum boundary value, and perform an operation according to the adjusted input image data to generate output image data, wherein the output image data includes output red pixel data, output green pixel data, output blue pixel data, and output white pixel data. That is, the image data processing method of the present invention uses the timing controller to process and calculate the RGB color gamut image data, so as to generate the output image data capable of effectively driving the RGBW display panel.
In order to make the aforementioned and other features and advantages of the invention more comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a schematic diagram of a timing controller according to an embodiment of the invention.
Fig. 2 is a flowchart illustrating an image data processing method according to an embodiment of the invention.
Fig. 3 is a flow chart of calculating a second minimum luminance according to an embodiment of the present invention.
Description of reference numerals:
100: time sequence controller
110: color conversion module
111: processing module
112: gamma conversion module
113: color gamut conversion module
200: driving circuit
300: display panel
I1: inputting image data
I2: outputting image data
S410, S420, S430, S431, S432, S440: step (ii) of
Detailed Description
A number of embodiments are presented below to illustrate the invention, however the invention is not limited to the illustrated embodiments. Suitable combinations between the embodiments are also allowed.
Fig. 1 is a schematic diagram of a timing controller according to an embodiment of the invention. Referring to fig. 1, the timing controller 100 is coupled to the driving circuit 200, and the driving circuit 200 is coupled to the display panel 300. In the present embodiment, the timing controller 100 drives the display panel 300 through the driving circuit 200. The driving circuit 200 may include a source driving circuit, a gate driving circuit, and the like. In the present embodiment, the timing controller 100 includes a color conversion module 110, and the color conversion module 110 may include a processing module 111, a gamma conversion module 112, and a color gamut conversion module 113. In the present embodiment, the Display panel 300 may be an RGBW Display panel (Red-Green-Blue-White) configured in a Liquid Crystal Display (LCD), an Organic Light Emitting Diode (OLED) Display, or the like. Also, the display panel 300 may include four pixels, which are a red pixel (R), a green pixel (G), a blue pixel (B), and a white pixel (W), respectively. In the present embodiment, the timing controller 100 may have a processor and a storage device. The storage device may be a Dynamic Random Access Memory (DRAM). The storage device can store a plurality of modules, which may include at least a processing module 111 of the color conversion module 110, a gamma conversion module 112, and a color gamut conversion module 113. Moreover, the processor can be used to execute these modules in the color conversion module 110 to implement the image data processing method according to the embodiments of the present invention. However, in an embodiment, the processing module 111, the gamma conversion module 112, and the color gamut conversion module 113 of the color conversion module 110 may also be implemented in a hardware form, and the invention is not limited thereto.
In the present embodiment, the timing controller 100 is configured to receive input image data I1 having red pixel data, green pixel data and blue pixel data, convert and operate the input image data to generate output image data I2 having red pixel data, green pixel data, blue pixel data and white pixel data, and drive the display panel 300. In other words, the timing controller 100 can correspondingly generate the output image data I2 in the RGBW format according to the input image data I1 in the RGB format.
Fig. 2 is a flowchart illustrating an image data processing method according to an embodiment of the invention. Referring to fig. 1 and fig. 2, the image data processing method of the present embodiment is at least applicable to the timing controller 100 of fig. 1. The image data processing method may include the following steps. First, in step S310, the gamma conversion module 112 performs gamma conversion (gamma transform) on the input image data I1 according to the gamma parameter, and determines a first minimum luminance data of the input image data. In the present embodiment, the gamma conversion module 112 can perform gamma conversion according to the following equations (1) to (3).
RL＝R^Gamma………………(1)
GL＝G∧Gamma………………(2)
BL＝B∧Gamma………………(3)
In the present embodiment, the symbol R is input red pixel data, the symbol G is input green pixel data, the symbol B is input blue pixel data, the symbol RL is input red luminance data, the symbol GL is input green luminance data, the symbol BL is input blue luminance data, and the symbol Gamma is a Gamma parameter. Specifically, the Gamma conversion module 112 of the present embodiment performs Gamma conversion on the input red pixel data R, the input green pixel data G and the input blue pixel data B of the input image data I1 according to the Gamma parameter Gamma to generate the input red luminance data RL, the input green luminance data GL and the input blue luminance data BL. That is, the gamma conversion module 112 may perform gamma conversion on the red, green and blue pixel data in the input image data I1 to generate corresponding red, green and blue luminance data.
It should be noted that the Gamma parameter Gamma can be set to 2.2, but the invention is not limited thereto. In one embodiment, the Gamma parameter Gamma may also be determined according to different panel specifications or user requirements.
In this embodiment, the processing module 111 selects one of the minimum values as the first minimum luminance data according to the input red luminance data RL, the input green luminance data GL, and the input blue luminance data BL. In this embodiment, the processing module 111 can be selected according to the following formula (4).
mL＝min(RL,GL,BL)………………(4)
In this embodiment, the symbol mL is the first minimum luminance data. Specifically, the processing module 111 of the present embodiment may obtain the input red luminance data RL, the input green luminance data GL and the input blue luminance data BL from the input image data through gamma conversion, and determine the magnitudes of the input red luminance data RL, the input green luminance data GL and the input blue luminance data BL to determine the first minimum luminance data mL.
Next, in step S320, the timing controller 100 may convert the input image data I1 from the RGB color gamut to the HSV color gamut (Hue, Saturation) through the color gamut conversion module 113. In the present embodiment, the color gamut conversion module 113 may perform the conversion according to the following formula (5).
[hMax,sMax,vMax]＝rgb2hv[R,G,B]………………(5)
In this embodiment, the symbol hMax is maximum hue data, the symbol sMax is maximum saturation data, and the symbol vMax is maximum value data. In this embodiment, the processing module 111 may adjust up the maximum brightness data vMax to a boundary value. That is, the processing module 111 directly sets the maximum brightness data vMax to 1 (highest brightness). In this embodiment, the processing module 111 may perform brightness data adjustment according to the following formula (6).
[hMax,sMax,vMax]＝[hMax,sMax,1.0]………………(6)
Next, in step S330, the processing module 111 determines second minimum luminance data according to the converted input image data. Referring first to fig. 3, fig. 3 is a flowchart of calculating the second minimum luminance according to an embodiment of the invention. In step S331, the color gamut conversion module 113 may convert the maximum hue data hMax, the maximum saturation data sMax, and the maximum value data vMax of the converted input image data I1 from the HSV color gamut to the RGB color gamut to obtain corresponding maximum red pixel data, maximum green pixel data, and maximum blue pixel data. In the present embodiment, the gamut conversion module 113 may perform the conversion according to the following formula (7).
[rMax,gMax,bMax]＝hsv2rgb(hMax,sMax,1.0)……………(7)
In the present embodiment, the above-described symbol rMax is maximum red pixel data, symbol gMax is maximum green pixel data, and symbol bMax is maximum blue pixel data. Next, in step S332, the processing module 111 may determine the sizes of the maximum red pixel data rMax, the maximum green pixel data gMax and the maximum blue pixel data bMax to obtain the small pixel data, and perform gamma conversion by the gamma conversion module 112 to convert the minimum pixel data into the second minimum luminance data. In the present embodiment, the processing module 111 may perform operations according to the following formula (8), and the gamma conversion module 112 may perform conversions according to the following formula (9).
min(rMax,gMax,bMax)………………(8)
mLmax＝min(rMax,gMax,bMax)^Gamma………………(9)
In the present embodiment, the symbol mLmax is the second minimum luminance data. Referring to fig. 2 again, in step S330, the processing module 111 determines the reference coefficient according to the second minimum luminance data mLmax. In this embodiment, the processing module 111 can operate according to the following formula (10).
k＝1+mLmax………………(10)
In this embodiment, the symbol k is a reference coefficient. Finally, in step S340, the processing module 111 determines to output the red luminance data, the green luminance data and the blue luminance data according to the first minimum luminance data mL and the reference coefficient k, and determines to output the white luminance data according to the first minimum luminance data mL. In this embodiment, the processing module 111 can operate according to the following equations (11) to (14).
RLp＝(RL×k-mL)………………(11)
GLp＝(GL×k-mL)………………(12)
BLp＝(BL×k-mL)………………(13)
WLp＝(mL)………………(14)
In the present embodiment, the above-mentioned symbol RLp outputs red luminance data, GLp outputs green luminance data, BLp outputs blue luminance data, and WLp outputs white luminance data. That is, the processing module 111 of the present embodiment can adjust the input red luminance data RL, the input green luminance data GL and the input blue luminance data BL of the original input image data I1 according to the calculated first minimum luminance data mL and the reference coefficient k to generate the output red luminance data RLp, the output green luminance data GLp and the output blue luminance data BLp. In addition, the processing module 111 further directly uses the calculated first minimum luminance data mL as the output white luminance data WLp.
In this embodiment, the gamma conversion module 112 performs a gamma inverse conversion on the output red luminance data RLp, the output green luminance data GLp, the output blue luminance data BLp and the output white luminance data WLp according to the gamma parameter to generate output red pixel data, output green pixel data, output blue pixel data and output white pixel data. In the present embodiment, the gamma conversion module 112 can perform the conversion according to the following equations (15) to (18).
Rp＝RLp^(1/Gamma)………………(15)
Gp＝GLp^(1/Gamma)………………(16)
Bp＝BLp^(1/Gamma)………………(17)
Wp＝WLp^(1/Gamma)………………(18)
In the present embodiment, the symbol Rp is output red pixel data, the symbol Gp is output green pixel data, the symbol Bp is output blue pixel data, and the symbol Wp is output white pixel data. In the present embodiment, the timing controller 100 generates the output video data I2 according to the calculated output red pixel data Rp, output green pixel data Gp, output blue pixel data Bp and output white pixel data Wp, and drives the display panel 300 through the output video data I2. Therefore, the red pixel, the green pixel, the blue pixel and the white pixel in the RGBW display panel 300 of the present embodiment can be effectively driven according to the output image data I2.
In summary, the image data processing method of the present invention uses the timing controller to convert the input image data from the RGB color gamut to the HSV color gamut so as to obtain the first minimum luminance data. In addition, the image data processing method of the present invention adjusts the maximum brightness value of the converted input image data to a boundary value (maximum brightness) by the time schedule controller, and then calculates the reference coefficient according to the adjusted input image data. Finally, the image data processing method of the invention adjusts the brightness of each color originally input by the time schedule controller according to the first minimum brightness data and the reference coefficient, and generates white brightness data, thereby generating output image data with red, green, blue and white pixel data. Therefore, the RGBW display panel can be effectively driven by the image data processing method of the invention and the output image data generated by the time schedule controller, and the RGBW display panel can provide good display quality.
Although the present invention has been described with reference to the above embodiments, it should be understood that various changes and modifications can be made therein by those skilled in the art without departing from the spirit and scope of the invention.
Claims (6)
1. An image data processing method, comprising:
performing gamma conversion on an input red pixel data, an input green pixel data, and an input blue pixel data of an input image data according to a gamma parameter according to the following formulas (1) to (3) to generate an input red luminance data, an input green luminance data, and an input blue luminance data, and determining a first minimum luminance data of the input image data according to the following formula (4):
RL＝R∧Gamma……………………………………(1)
GL＝G∧Gamma……………………………………(2)
BL＝B∧Gamma……………………………………(3)
mL＝min(RL,GL,BL)…………………………(4)
the symbol R is the input red pixel data, the symbol G is the input green pixel data, the symbol B is the input blue pixel data, the symbol RL is the input red luminance data, the symbol GL is the input green luminance data, the symbol BL is the input blue luminance data, the symbol Gamma is the Gamma parameter, and the symbol mL is the first minimum luminance data;
converting the input image data from an RGB color gamut to an HSV color gamut according to the following formula (5), and increasing a maximum brightness data of the converted input image data to a boundary value:
[hMax,sMax,vMax]＝rgb2hv[R,G,B]……(5)
the symbol hMax is maximum hue data, the symbol sMax is maximum saturation data, and the symbol vMax is maximum lightness data;
determining a second minimum luminance data according to the converted input image data, and determining a reference coefficient according to the second minimum luminance data, comprising:
converting a maximum hue data, a maximum saturation data and a maximum brightness data of the converted input image data from the HSV color gamut to the RGB color gamut according to the following formula (7) to obtain a corresponding maximum red pixel data, a maximum green pixel data and a maximum blue pixel data:
[rMax,gMax,bMax]＝hsv2rgb(hMax,sMax,1.0)……(7)，
the symbol rMax is the maximum red pixel data, the symbol gMax is the maximum green pixel data, and the symbol bMax is the maximum blue pixel data; and
determining the magnitude of the maximum red pixel data, the maximum green pixel data and the maximum blue pixel data to obtain a minimum pixel data, performing an operation according to the following formula (8), and converting the minimum pixel data into the second minimum luminance data through the gamma conversion according to the following formula (9):
min(rMax,gMax,bMax)…………………………………(8)
mLmax＝min(rMax,gMax,bMax)∧Gamma……………(9)
the above-mentioned symbol mLmax is the second minimum luminance data;
determining an output red luminance data, an output green luminance data and an output blue luminance data according to the first minimum luminance data and the reference coefficient, and determining an output white luminance data according to the first minimum luminance data by performing operations according to the following equations (11) to (14):
RLp＝(RL×k-mL)………………………………………(11)
GLp＝(GL×k-mL)………………………………………(12)
BLp＝(BL×k-mL)………………………………………(13)
WLp＝(mL)…………………………………………………(14)
the above-mentioned symbol RLp represents the output red luminance data, GLp represents the output green luminance data, BLp represents the output blue luminance data, and WLp represents the output white luminance data.
2. The method of claim 1, wherein the gamma parameter is 2.2.
3. The method of claim 1, wherein determining the output red luminance data, the output green luminance data, and the output blue luminance data according to the first minimum luminance data and the reference coefficient, and determining the output white luminance data according to the first minimum luminance data further comprises:
performing a gamma inverse transformation on the output red luminance data, the output green luminance data, the output blue luminance data, and the output white luminance data according to the gamma parameter to generate an output red pixel data, an output green pixel data, an output blue pixel data, and an output white pixel data, the gamma inverse transformation being performed according to the following equations (15) to (18):
Rp＝RLp∧(1/Gamma)………………(15)
Gp＝GLp∧(1/Gamma)………………(16)
Bp＝BLp∧(1/Gamma)………………(17)
Wp＝WLp∧(1/Gamma)………………(18)。
4. a timing controller for converting an input image data to generate an output image data to a driving circuit and driving a display panel through the driving circuit, comprising:
a color conversion module comprising:
a gamma conversion module for performing gamma conversion on an input image data according to a gamma parameter and determining a first minimum brightness data of the input image data;
a color gamut conversion module for performing color gamut conversion between an RGB color gamut and an HSV color gamut on the input image data; and
a processing module for increasing a maximum brightness data of the converted input image data to a boundary value, wherein the processing module determines a second minimum brightness data according to the converted input image data, and determines a reference coefficient according to the second minimum brightness data, wherein the processing module determines an output red brightness data, an output green brightness data and an output blue brightness data according to the first minimum brightness data and the reference coefficient, and determines an output white brightness data according to the first minimum brightness data;
the gamma conversion module performs gamma conversion according to the following formulas (1) to (3) to convert an input red pixel data, an input green pixel data, and an input blue pixel data of the input image data into an input red luminance data, an input green luminance data, and an input blue luminance data, and the processing module determines the magnitudes of the input red luminance data, the input green luminance data, and the input blue luminance data according to the following formula (4) to determine the first minimum luminance data:
RL＝R∧Gamma……………………………………(1)
GL＝G∧Gamma……………………………………(2)
BL＝B∧Gamma……………………………………(3)
mL＝min(RL,GL,BL)…………………………(4)
the symbol R is the input red pixel data, the symbol G is the input green pixel data, the symbol B is the input blue pixel data, the symbol RL is the input red luminance data, the symbol GL is the input green luminance data, the symbol BL is the input blue luminance data, the symbol Gamma is the Gamma parameter, and the symbol mL is the first minimum luminance data;
the color gamut conversion module converts a maximum hue data, a maximum saturation data and a maximum brightness data of the converted input image data from the HSV color gamut to the RGB color gamut according to the following formula (5), so that the processing module obtains a corresponding maximum red pixel data, a maximum green pixel data and a maximum blue pixel data:
[hMax,sMax,vMax]＝rgb2hv[R,G,B]……(5)
the symbol hMax is the maximum hue data, the symbol sMax is the maximum saturation data, and the symbol vMax is the maximum lightness data;
the color gamut conversion module converts a maximum hue data, a maximum saturation data and a maximum brightness data of the converted input image data from the HSV color gamut to the RGB color gamut according to the following formula (7), so that the processing module obtains a corresponding maximum red pixel data, a maximum green pixel data and a maximum blue pixel data;
[rMax,gMax,bMax]＝hsv2rgb(hMax,sMax,1.0)……(7)，
the symbol rMax is maximum red pixel data, the symbol gMax is maximum green pixel data, and the symbol bMax is maximum blue pixel data;
the processing module determines the size of the maximum red pixel data, the maximum green pixel data and the maximum blue pixel data to determine a minimum pixel data, and the gamma conversion module performs an operation according to the following formula (8) and converts the minimum pixel data into the second minimum luminance data through the gamma conversion according to the following formula (9):
min(rMax,gMax,bMax)…………………………………(8)
mLmax＝min(rMax,gMax,bMax)∧Gamma……………(9)
the above-mentioned symbol mLmax is the second minimum luminance data.
5. The timing controller of claim 4, wherein the gamma parameter is 2.2.
6. The timing controller of claim 4, wherein the gamma conversion module performs a gamma inverse conversion on the output red, green, blue and white luminance data according to the gamma parameter to generate an output red pixel data, an output green pixel data, an output blue pixel data and an output white pixel data, the gamma inverse conversion being performed according to the following equations (15) to (18):
Rp＝RLp∧(1/Gamma)………………(15)
Gp＝GLp∧(1/Gamma)………………(16)
Bp＝BLp∧(1/Gamma)………………(17)
Wp＝WLp∧(1/Gamma)………………(18)。
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