Display device and method of driving same

Abstract

The invention relates to a display device and a method of driving the same. The display device includes: a display panel including sub-pixels; a data driver configured to generate a data voltage based on the gamma voltage and provide the data voltage to the sub-pixels; and a gamma voltage generator configured to receive the first gamma lookup table and the second gamma lookup table, generate a gamma voltage based on at least one of the first gamma lookup table and the second gamma lookup table, and provide the gamma voltage to the data driver. The display device trains an artificial intelligence model to generate a second gamma lookup table using a first gamma lookup table, the first gamma lookup table including gamma voltages for sampled display devices driven at different corresponding sampling drive frequencies, the second gamma lookup table including gamma voltages for a target drive frequency.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This patent application claims priority to Korean Patent Application No. 10-2023-0175259, filed on December 6, 2023, the disclosure of which is incorporated herein by reference in its entirety. Technical Field

[0003] The present disclosure relates to a display device and a method for driving the same, and more particularly to a display device supporting multiple driving frequencies. Background Art

[0004] Reducing power consumption of a display device is useful, especially in a mobile device such as a smartphone or a tablet computer. Low frequency driving technology for driving or refreshing a display panel of a display device at a low frequency lower than a normal driving frequency has been developed to reduce power consumption.

[0005] A multi-frequency driving (MFD) technique for driving partial areas of a display panel at different driving frequencies can reduce power consumption even when a still image is displayed only in a partial area of ​​the display panel.

[0006] The image seen on the display panel starts with digital data that has a specific value for each pixel of the display panel. This data can be gamma corrected using a gamma voltage. The display driver of the display device can adjust the gamma voltage to fine-tune the brightness of each pixel. However, it can be difficult to select the best gamma voltage that represents the desired grayscale level and reduces power consumption. Summary of the invention

[0007] An object of the present disclosure is to provide a display device using a gamma lookup table generated by an artificial intelligence model.

[0008] Another object of the present disclosure is to provide a method for driving a display device.

[0009] According to an embodiment of the present disclosure, a display device includes a display panel including sub-pixels, a data driver, and a gamma voltage generator. The data driver is configured to generate a data voltage based on a gamma voltage and provide the data voltage to the sub-pixel. The gamma voltage generator is configured to receive a first gamma lookup table and a second gamma lookup table, generate a gamma voltage based on at least one of the first gamma lookup table and the second gamma lookup table, and provide the gamma voltage to the data driver. An artificial intelligence model is trained to generate a second gamma lookup table using the first gamma lookup table, the first gamma lookup table including gamma voltages for sampling display devices driven at different corresponding sampling drive frequencies, and the second gamma lookup table including gamma voltages for a target drive frequency.

[0010] In an embodiment, the display device may further include a memory device configured to store the first gamma lookup table and the second gamma lookup table.

[0011] In an embodiment, the display device may further include a memory device configured to store parameters of the artificial intelligence model and the first gamma lookup table.

[0012] In an embodiment, the sampling drive frequency is different from the target drive frequency.

[0013] In an embodiment, the artificial intelligence model is additionally trained using at least one of a top voltage, a bottom voltage lower than the top voltage, a data swing range, and a gamma voltage of a lowest gray level among gray levels supported by the display panel.

[0014] In an embodiment, the gamma voltage may be determined as a voltage between a top voltage and a bottom voltage.

[0015] In an embodiment, a difference between a gamma voltage of a lowest gray level and a gamma voltage of a highest gray level among gray levels may increase as a data swing range increases.

[0016] In an embodiment, the first gamma lookup table may include gamma voltages according to the sampling driving frequency and the dimming level, and the second gamma lookup table may include gamma voltages according to the target driving frequency and the dimming level.

[0017] According to an embodiment of the present disclosure, a method for driving a display device may include: receiving a first gamma lookup table, the first gamma lookup table including gamma voltages for sampling a display device driven at different corresponding sampling driving frequencies; training an artificial intelligence model to generate a second gamma lookup table including gamma voltages for a target driving frequency; generating a gamma voltage for the display device based on at least one of the first gamma lookup table and the second gamma lookup table; and providing the gamma voltage to a data driver of the display device.

[0018] In an embodiment, the method may further include storing the second gamma lookup table in a memory device of the display device.

[0019] In an embodiment, the method may further comprise storing parameters of the artificial intelligence model in a memory device of the display device, wherein the training further uses the parameters.

[0020] In an embodiment, the training additionally uses at least one of a top voltage, a bottom voltage lower than the top voltage, a data swing range, and a gamma voltage of a lowest gray level of a display device among gray levels supported by the display device.

[0021] In an embodiment, the first gamma lookup table may include gamma voltages according to the sampling driving frequency and the dimming level, and the second gamma lookup table may include gamma voltages according to the target driving frequency and the dimming level.

[0022] In an embodiment, the method may further include a data driver generating a data voltage based on the gamma voltage, and the data driver providing the data voltage to a sub-pixel of a display panel of the display device.

[0023] According to an embodiment of the present disclosure, a display device includes a display panel including sub-pixels, a data driver, and a drive controller. The drive controller is configured to train an artificial intelligence model to generate a gamma voltage for a target drive frequency using training data, the training data including a first gamma voltage for a first sampling drive frequency and a first dimming level and a second gamma voltage for a second sampling drive frequency different from the first sampling drive frequency and a second dimming level.

[0024] The first dimming level and the second dimming level may be the same as or different from each other. In an embodiment, the driving controller additionally uses a top voltage and a bottom voltage lower than the top voltage to train the artificial intelligence model, and the gamma voltage is determined as a voltage between the top voltage and the bottom voltage. In an embodiment, the driving controller additionally uses a data swing range and a gamma voltage of the lowest gray level among gray levels supported by the display panel to train the artificial intelligence model. In an embodiment, the difference between the gamma voltage of the lowest gray level and the gamma voltage of the highest gray level among the gray levels increases as the data swing range increases.

[0025] The display device according to the embodiment of the present disclosure can reduce the tact time of the display device and improve the image quality of the display device by inferring the gamma voltage using an artificial intelligence model. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and other features of the present disclosure will become more apparent by describing embodiments of the present disclosure in more detail with reference to the accompanying drawings, in which:

[0027] Figure 1 is a block diagram showing a display device according to an embodiment of the present disclosure;

[0028] Figure 2 It is shown that training is used to generate Figure 1 A diagram of an example of an artificial intelligence model of a second gamma lookup table of a display device;

[0029] Figure 3 It is shown Figure 2 A graph of examples of training data for ;

[0030] Figure 4 It is shown Figure 3 A table of examples of a portion of training data corresponding to a dimming level of 1000 nit and a driving frequency of 90 Hz;

[0031] Figure 5 It shows that Figure 2 A diagram of an example of an artificial intelligence model generating a second gamma lookup table;

[0032] Figure 6 It is shown Figure 1 FIG. 1 is a diagram showing an example of a portion of a gamma lookup table of a display device corresponding to a dimming level of 1000 nit and a driving frequency of 90 Hz;

[0033] Figure 7 is a diagram showing an example in which an artificial intelligence model of a display device generates a second gamma lookup table according to an embodiment of the present disclosure;

[0034] Figure 8 is a graph showing top voltage and bottom voltage;

[0035] Fig. 9 It is shown Figure 7 A table of a portion of training data of a display device corresponding to a dimming level of 1000 nit and a driving frequency of 90 Hz;

[0036] Fig.10 is a block diagram showing a display device according to an embodiment of the present disclosure; and

[0037] Fig.11 is a flowchart illustrating a method of driving a display device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0038] Hereinafter, embodiments according to the present disclosure are described in detail with reference to the accompanying drawings. It should be noted that in the following description, only the parts necessary for understanding the operation according to the present disclosure are described, and the description of other parts is omitted so as not to obscure the subject matter of the present disclosure. In addition, the present disclosure can be implemented in other forms, and is not limited to the embodiments described herein.

[0039] Throughout the specification, when a part is “connected” to another part, the case includes not only the case where the part is “directly connected” but also the case where the part is “indirectly connected” and another element is interposed between the part and the other part. “At least any one of X, Y, and Z” and “at least any one selected from the group consisting of X, Y, and Z” can be interpreted as one X, one Y, one Z, or any combination of two or more of X, Y, and Z (e.g., XYZ, XY, YZ, and XZ). Here, “and / or” includes all combinations of one or more of the corresponding configurations.

[0040] Figure 1 is a block diagram illustrating a display device according to an embodiment of the present disclosure.

[0041] refer to Figure 1 , the display device may include a display panel 100, a driving controller 200 (e.g., a control circuit), a gate driver 300 (e.g., a first driver circuit), a data driver 400 (e.g., a second driver circuit), a gamma voltage generator 500, and a memory device 600. In an embodiment, at least two of the driving controller 200, the data driver 400, the gamma voltage generator 500, and the memory device 600 may be integrated into one chip.

[0042] The display panel 100 may include a display area DA displaying an image and a non-display area NDA disposed adjacent to the display area DA. For example, an image may not be displayed in the non-display area NDA. In an embodiment, the gate driver 300 may be installed in the non-display area NDA.

[0043] The display panel 100 may include a plurality of gate lines GL, a plurality of data lines DL, and a plurality of sub-pixels SP electrically connected to the gate lines GL and the data lines DL. The gate lines GL may extend in a first direction DR1, and the data lines DL may extend in a second direction DR2 intersecting the first direction DR1. The plurality of sub-pixels SP may represent one pixel. For example, a first one of the sub-pixels SP may be a red sub-pixel of a pixel, a second one of the sub-pixels SP may be a green sub-pixel of a pixel, and a third one of the sub-pixels SP may be a blue sub-pixel of a pixel, but the embodiment is not limited to these colors.

[0044] The drive controller 200 may receive input image data IMG and an input control signal CONT from a main processor (e.g., a graphics processing unit (GPU), etc.). For example, the input image data IMG may include red image data, green image data, and blue image data. In an embodiment, the input image data IMG may also include white image data. As another example, the input image data IMG may include magenta image data, yellow image data, and cyan image data. The input control signal CONT may include a main clock signal and a data enable signal. The input control signal CONT may also include a vertical synchronization signal and a horizontal synchronization signal.

[0045] The driving controller 200 may generate a first control signal CONT1 , a second control signal CONT2 , a third control signal CONT3 , and a data signal DATA based on input image data IMG and an input control signal CONT.

[0046] The driving controller 200 may generate a first control signal CONT1 for controlling the operation of the gate driver 300 based on the input control signal CONT, and output the first control signal CONT1 to the gate driver 300. The first control signal CONT1 may include a vertical start signal and a gate clock signal.

[0047] The driving controller 200 may generate a second control signal CONT2 for controlling the operation of the data driver 400 based on the input control signal CONT, and output the second control signal CONT2 to the data driver 400. The second control signal CONT2 may include a horizontal start signal and a load signal.

[0048] The driving controller 200 may receive input image data IMG and an input control signal CONT and generate a data signal DATA. The driving controller 200 may output the data signal DATA to the data driver 400.

[0049] The driving controller 200 may receive the input image data IMG and the input control signal CONT to generate a third control signal CONT3 . The driving controller 200 may output the third control signal CONT3 to the gamma voltage generator 500 .

[0050] The gate driver 300 may generate a gate signal for driving the gate line GL in response to the first control signal CONT1 received from the driving controller 200. The gate driver 300 may output the gate signal to the gate line GL. For example, the gate driver 300 may output the gate signal to the gate lines GL in sequence.

[0051] The data driver 400 may receive the second control signal CONT2 and the data signal DATA from the driving controller 200. The data driver 400 may generate a data voltage obtained by converting the data signal DATA into an analog voltage. The data driver 400 may output the data voltage to the data line DL.

[0052] The data driver 400 may receive a gamma voltage VG from the gamma voltage generator 500. The gamma voltage VG may include a gamma voltage V0 of 0 gray level (ie, the lowest gray level) to a gamma voltage V255 of 255 gray level (ie, the highest gray level). The data driver 400 may generate a data voltage by selecting a gamma voltage VG corresponding to a gray level of the data signal DATA.

[0053] The gamma voltage generator 500 may receive a third control signal CONT3 from the driving controller 200. The gamma voltage generator 500 may receive a first gamma lookup table GLUT1 and a second gamma lookup table GLUT2 from the memory device 600. In an embodiment, the gamma voltage generator 500 generates a gamma voltage VG based on at least one of the first gamma lookup table GLUT1 and the second gamma lookup table GLUT2. In an embodiment, the gamma voltage generator 500 selects a driving frequency to be used to drive the display panel 100 from a plurality of driving frequencies, selects one of the first gamma lookup table GLUT1 and the second gamma lookup table GLUT2 that corresponds to or is closest to the selected driving frequency, and then uses the selected gamma lookup table to calculate any required gamma voltage to be used by the data driver 400. In an embodiment, the first gamma lookup table GLUT1 is preloaded to the memory device 600, and the display device (e.g., the driving controller 200) uses the first gamma lookup table GLUT1 to calculate the second gamma lookup table GLUT2.

[0054] The first gamma lookup table GLUT1 and the second gamma lookup table GLUT2 may include the gamma voltage VG according to the driving frequency and the grayscale of the display panel 100. In an embodiment, the first gamma lookup table GLUT1 and the second gamma lookup table GLUT2 include the gamma voltage VG according to the driving frequency, the grayscale, and the dimming level of the display panel 100. However, the present disclosure is not limited to these conditions or to the number of conditions for determining the gamma voltage VG.

[0055] Here, the dimming level may be a value for adjusting the brightness of the display device. For example, as the dimming level increases, the brightness for the same grayscale may increase. For example, when the dimming level is 1000nit, the maximum brightness displayed by the display device may be 1000nit. However, the dimming level may not show the maximum brightness.

[0056] In an embodiment, the dimming level may be set by a user. However, the present disclosure is not limited thereto. For example, the dimming level may be automatically changed without a user's operation.

[0057] In an embodiment, the first gamma lookup table GLUT1 includes gamma voltages VG determined by measurements during a process. In this embodiment, the second gamma lookup table GLUT2 is generated by an artificial intelligence model based on the first gamma lookup table GLUT1.

[0058] The artificial intelligence model may include multiple layers of an artificial neural network. The artificial neural network may be a combination of two or more of one or more of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q network, but is not limited to the above examples.

[0059] The memory device 600 may include a first gamma lookup table GLUT1 and a second gamma lookup table GLUT2. For example, the memory device 600 may include a nonvolatile memory device such as an erasable programmable read-only memory (EPROM) device, an electrically erasable programmable read-only memory (EEPROM) device, a flash memory device, a phase change random access memory (PRAM) device, a resistive random access memory (RRAM) device, a nano floating gate memory (NFGM) device, a polymer random access memory (PoRAM) device, a magnetic random access memory (MRAM) device, and a ferroelectric random access memory (FRAM) device and / or a volatile memory device such as a dynamic random access memory (DRAM) device, a static random access memory (SRAM) device, and a mobile DRAM device.

[0060] Figure 2 It is shown that the training is used to generate Figure 1 FIG. 1 is a diagram of an example of an artificial intelligence model of a second gamma lookup table of a display device, Figure 3 It is shown Figure 2 A graph of examples of training data, and Figure 4 It is shown Figure 3 FIG. 1 is a table of examples of a portion of training data corresponding to a dimming level of 1000 nit and a driving frequency of 90 Hz.

[0061] Figure 4 The table shows the gamma voltages VG of the sample display devices SLP1 to SLP5 as digital values, and even if the digital values ​​are the same, the analog voltage values ​​of the gamma voltages VG may be different. Figure 3 , the gamma voltage VG is omitted.

[0062] refer to Figures 2 to 4, the gamma voltage VG of the sampled display devices SLP1 to SLP5 according to the first driving frequency F1, the gamma voltage VG of the sampled display devices SLP1 to SLP5 according to the second driving frequency F2, and the gamma voltage VG of the sampled display devices SLP1 to SLP5 according to the third driving frequency F3 can be used as training data LD to train the artificial intelligence model AM. In an embodiment, the gamma voltage VG of the sampled display devices SLP1 to SLP5 according to the first driving frequency F1 and the dimming level DIM, the gamma voltage VG of the sampled display devices SLP1 to SLP5 according to the second driving frequency F2 and the dimming level DIM, and the gamma voltage VG of the sampled display devices SLP1 to SLP5 according to the third driving frequency F3 and the dimming level DIM are used as training data LD to train the artificial intelligence model AM.

[0063] The training of the artificial intelligence model AM may be performed by the display device (eg, the drive controller 200 ), an electronic device including the display device, or a separate computing device.

[0064] In the present embodiment, the gamma voltages VG according to the first driving frequency F1, the second driving frequency F2, and the third driving frequency F3 of the sampling display devices SLP1 to SLP5 are illustrated, but the present disclosure is not limited to the number of driving frequencies FR used for training. In addition, in the present embodiment, the use of five sampling display devices SLP1 to SLP5 for training is illustrated, but the present disclosure is not limited to the number of sampling display devices SLP1 to SLP5 used for training.

[0065] The sampling display devices SLP1 to SLP5 are display devices for extracting the training data LD. Figure 1 The display device may be one of the sample display devices SLP1 to SLP5, or a separate display device.

[0066] For example, Figure 3 As shown in , the training data LD may include gamma voltages VG according to the driving frequency FR, the dimming level DIM, and the representative grayscale of the sampled display devices SLP1 to SLP5. Figure 4 As shown in FIG. 1 , the training data LD may include gamma voltages VG according to a driving frequency FR of 90 Hz, a dimming level DIM of 1000 nit, and representative gray levels of 255 gray levels, 151 gray levels, 87 gray levels, 35 gray levels, and 7 gray levels.

[0067] However, the present disclosure is not limited to a specific type of condition or a specific number of conditions for determining the gamma voltage VG, and is not limited to a specific number of driving frequencies FR, dimming levels DIM, and representative gray levels.

[0068] The artificial intelligence model AM may receive the gamma voltage VG according to the driving frequency FR and the dimming level DIM through the training data LD, and may be trained to infer the gamma voltage VG according to another driving frequency FR and the dimming level DIM. Figure 1 The first gamma lookup table GLUT1 includes gamma voltages VG according to the first driving frequency F1 and the second driving frequency F2, and Figure 1 When the second gamma lookup table GLUT2 includes a gamma voltage VG according to a third driving frequency F3, the artificial intelligence model AM may be trained to infer the gamma voltage VG according to the third driving frequency F3 from the gamma voltage VG according to the first driving frequency F1 and the second driving frequency F2. For example, the trained artificial intelligence model AM may receive the gamma voltage VG according to the first driving frequency F1 and the gamma voltage VG according to the second driving frequency F2, and output the gamma voltage VG according to the third driving frequency F3. That is, since the second gamma lookup table GLUT2 is generated by the artificial intelligence model AM, the ratio of the gamma voltage VG of the second gamma lookup table GLUT2 to the gamma voltage VG of the first gamma lookup table GLUT1 may be different for each gray level GR, dimming level DIM, or driving frequency FR.

[0069] In this embodiment, it is illustrated that the gamma voltage VG according to one driving frequency (e.g., the third driving frequency F3) is inferred from the gamma voltage VG according to two driving frequencies (e.g., the first driving frequency F1 and the second driving frequency F2), but the present disclosure is not limited to this number of driving frequencies FR used for inference and this number of inferred driving frequencies FR.

[0070] Figure 5 It shows that Figure 2 An artificial intelligence model generates a diagram of an example of a second gamma lookup table, and Figure 6 It is shown Figure 1 FIG. 1 is a diagram of an example of a portion of a gamma lookup table of a display device corresponding to a dimming level of 1000 nit and a driving frequency of 90 Hz.

[0071] Figure 6 The table shows the gamma voltages VG of the display devices as digital values.

[0072] refer to Figure 5 and Figure 6 , the artificial intelligence model AM generates a second gamma lookup table GLUT2 based on the first gamma lookup table GLUT1. The first gamma lookup table GLUT1 may include gamma voltages VG according to the first driving frequency F1 and the second driving frequency F2, and the second gamma lookup table GLUT2 may include gamma voltages VG according to the third driving frequency F3.

[0073] However, the present disclosure is not limited to the number of driving frequencies FR included in the first gamma lookup table GLUT1 and the second gamma lookup table GLUT2 .

[0074] In an embodiment, the first gamma lookup table GLUT1 includes gamma voltages VG according to the first driving frequency F1 and the second driving frequency F2 and the dimming level DIM, and the second gamma lookup table GLUT2 includes gamma voltages VG according to the third driving frequency F3 and the dimming level DIM. Figure 6 As shown in , a portion of the gamma lookup table GLUT may include a gamma voltage VG for each gray level GR corresponding to a dimming level DIM of 1000 nit and a driving frequency FR of 90 Hz. For example, when the dimming level DIM is selected as one of three values ​​and the driving frequency FR is selected as one of three values, the number of gamma voltages VG for each gray level GR may be nine.

[0075] Figure 7 is a diagram showing an example in which an artificial intelligence model of a display device generates a second gamma lookup table according to an embodiment of the present disclosure, Figure 8 is a graph showing top voltage and bottom voltage, and Fig. 9 It is shown Figure 7 A table of a portion of the training data of the display device corresponding to the dimming level of 1000nit and the driving frequency of 90Hz.

[0076] Fig. 9 The table may show the gamma voltages VG of the sample display devices SLP1 to SLP5 as digital values, and even if the digital values ​​are the same, the analog voltage values ​​of the gamma voltages VG may be different.

[0077] Since the display device according to the present embodiment is similar to the display device according to the present embodiment, in addition to the artificial intelligence model AM receiving the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest gray level, Figure 1 The configurations of the display devices are substantially the same, and thus the same reference numerals and symbols are used for the same or similar components, and overlapping descriptions are omitted.

[0078] refer to Figure 1 and Figure 7, the artificial intelligence model AM may receive at least one of the first gamma lookup table GLUT1, the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest gray level to generate a second gamma lookup table GLUT2. As the number of different types of data received by the artificial intelligence model AM increases, the inference accuracy of the gamma voltage VG may increase.

[0079] The data swing ranges DR_R, DR_G, and DR_B may correspond to the difference of the gamma voltage VG between the gray levels. For example, the difference between the gamma voltage V0 of the lowest gray level and the gamma voltage V255 of the highest gray level may increase as the data swing ranges DR_R, DR_G, and DR_B increase. For example, the data swing ranges DR_R, DR_G, and DR_B may be the ratio of the gamma voltage VG of the first gray level (e.g., 255 gray levels) to the gamma voltage VG of the second gray level (e.g., 0 gray levels). However, the present disclosure is not limited to this method of determining the data swing ranges DR_R, DR_G, and DR_B.

[0080] The gamma voltage VG may vary according to the displayed color. Therefore, the data swing ranges DR_R, DR_G, and DR_B may include a data swing range DR_R for a first color, a data swing range DR_G for a second color, and a data swing range DR_B for a third color. In addition, the top voltages VTOP_R, VTOP_G, and VTOP_B may include a top voltage VTOP_R for a first color, a top voltage VTOP_G for a second color, and a top voltage VTOP_B for a third color. In addition, the bottom voltages VBOT_R, VBOT_G, and VBOT_B may include a bottom voltage VBOT_R for a first color, a bottom voltage VBOT_G for a second color, and a bottom voltage VBOT_B for a third color. For example, the first color may be red, the second color may be green, and the third color may be blue.

[0081] refer to Figure 1 and Figure 8 , the display device may generate a gamma voltage VG through a top voltage VTOP and a bottom voltage VBOT. For example, the gamma voltage VG may be determined as a voltage between the top voltage VTOP and the bottom voltage VBOT. For example, the gamma voltage V0 of the lowest gray level may be less than or equal to the top voltage VTOP, and the gamma voltage V255 of the highest gray level may be greater than or equal to the bottom voltage VBOT.

[0082] The top voltage VTOP and the bottom voltage VBOT may be generated as external voltage inputs or by converting external voltages. However, the present disclosure is not limited to this method of generating the top voltage VTOP and the bottom voltage VBOT. In an embodiment, the top voltage VTOP is the highest power supply voltage supported by the display device, and the bottom voltage VBOT is the lowest power supply voltage or ground voltage supported by the display device.

[0083] In the present embodiment, it is illustrated that the gamma voltage VG decreases as the gray level increases, but the present disclosure is not limited thereto. For example, the gamma voltage VG may decrease as the gray level decreases.

[0084] refer to Fig. 9, at least one of the gamma voltage VG according to the first driving frequency F1 and the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest gray level of the sampling display devices SLP1 to SLP5, the gamma voltage VG according to the second driving frequency F2 and the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest gray level of the sampling display devices SLP1 to SLP5 may be used. The artificial intelligence model AM is trained using at least one of VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest grayscale, and the gamma voltage VG of the sampling display devices SLP1 to SLP5 according to the third driving frequency F3 and the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest grayscale as the training data LD. In an embodiment, at least one of the gamma voltage VG and the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest gray level according to the first driving frequency F1 and the dimming level DIM of the sampling display devices SLP1 to SLP5, the gamma voltage VG and the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the lowest gray level of the sampling display devices SLP1 to SLP5 may be used. At least one of VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest grayscale, and the gamma voltage VG of the sampling display devices SLP1 to SLP5 according to the third driving frequency F3, the dimming level DIM and the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest grayscale are used as the training data LD to train the artificial intelligence model AM.

[0085] In the present embodiment, the gamma voltages VG according to the first driving frequency F1, the second driving frequency F2, and the third driving frequency F3 of the sampling display devices SLP1 to SLP5 are illustrated, but the present disclosure is not limited to the number of driving frequencies FR used for training. In addition, in the present embodiment, the use of five sampling display devices SLP1 to SLP5 for training is illustrated, but the present disclosure is not limited to the number of sampling display devices SLP1 to SLP5 used for training.

[0086] For example, Fig. 9 As shown in , the training data LD may include a driving frequency FR, a dimming level DIM, a representative grayscale, and a gamma voltage VG according to top voltages VTOP_R, VTOP_G, and VTOP_B, bottom voltages VBOT_R, VBOT_G, and VBOT_B, data swing ranges DR_R, DR_G, and DR_B, and a gamma voltage V0 of the lowest grayscale of the sampling display devices SLP1 to SLP5. For example, the training data LD may include a driving frequency FR of 90 Hz, a dimming level DIM of 1000 nit, and gamma voltages VG of representative grayscales of 255 grayscales, 151 grayscales, 87 grayscales, 35 grayscales, and 7 grayscales. For example, the training data LD may include top voltages VTOP_R, VTOP_G, and VTOP_B, bottom voltages VBOT_R, VBOT_G, and VBOT_B, data swing ranges DR_R, DR_G, and DR_B, and a gamma voltage V0 of the lowest gray level of each of the sampled display devices SLP1 to SLP5.

[0087] However, the present disclosure is not limited to a specific type of condition or a specific number of conditions for determining the gamma voltage VG, and is not limited to a specific number of driving frequencies FR, dimming levels DIM, and representative gray levels.

[0088] The artificial intelligence model AM may be trained to infer the gamma voltage VG according to the driving frequency FR and the dimming level DIM by receiving the driving frequency FR, the dimming level DIM and at least one of the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest gray level. Since the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest gray level of the display device are constant even if the driving frequency FR changes, the gamma voltage VG of the lowest gray level of the display device is constant. Figure 1In addition to the second gamma lookup table GLUT2, the artificial intelligence model AM may not output the top voltages VTOP_R, VTOP_G and VTOP_B, the bottom voltages VBOT_R, VBOT_G and VBOT_B, the data swing ranges DR_R, DR_G and DR_B, and the gamma voltage V0 of the lowest gray level.

[0089] In this embodiment, it is illustrated that the gamma voltage VG according to one driving frequency (e.g., the third driving frequency F3) is inferred from the gamma voltage VG according to two driving frequencies (e.g., the first driving frequency F1 and the second driving frequency F2), but the present disclosure is not limited to this number of driving frequencies FR used for inference and this number of inferred driving frequencies FR.

[0090] Fig.10 is a block diagram illustrating a display device according to an embodiment of the present disclosure.

[0091] Since AMP is not only used to store the parameters of AI models, but also to store Figure 1 In addition to the second gamma lookup table GLUT2, the display device according to this embodiment and Figure 1 The configurations of the display devices are substantially the same, and thus the same reference numerals and symbols are used for the same or similar components, and overlapping descriptions are omitted.

[0092] refer to Fig.10 , the memory device 600 may store the first gamma lookup table GLUT1 and the parameters AMP of the artificial intelligence model. For example, the display device may implement the artificial intelligence model from the parameters AMP of the artificial intelligence model and generate the second gamma lookup table through the artificial intelligence model.

[0093] For example, when the artificial intelligence model is a neural network model, the parameters AMP of the artificial intelligence model may include weights, biases, and structures (e.g., the number of layers, the number of neurons in each layer, etc.). The display device may implement the artificial intelligence model from weights, biases, and structures.

[0094] In an embodiment, the gamma voltage generator 500 may implement the artificial intelligence model by receiving the parameter AMP of the artificial intelligence model. In an embodiment, the driving controller 200 receives the parameter AMP of the artificial intelligence model, trains the artificial intelligence model, and provides the gamma voltage generator 500 with a second gamma lookup table.

[0095] Therefore, the display device can generate a gamma lookup table for various driving frequencies, and generate a gamma lookup table for a plurality of driving frequencies regardless of the capacity of the memory device 600 .

[0096] Fig.11is a flowchart illustrating a method of driving a display device according to an embodiment of the present disclosure.

[0097] refer to Fig.11 The method for driving a display device can use a gamma voltage of a sampled display device according to a first driving frequency and a gamma voltage of a sampled display device according to a second driving frequency as training data to train an artificial intelligence model (S100), generate a second gamma lookup table based on the first gamma lookup table through the artificial intelligence model (S200), and generate a gamma voltage of the display device based on the first gamma lookup table and the second gamma lookup table (S300).

[0098] Specifically, the method of driving a display device may train an artificial intelligence model using training data of a gamma voltage of a sampled display device according to a first driving frequency and a gamma voltage of a sampled display device according to a second driving frequency.

[0099] In an embodiment, an artificial intelligence model is trained using training data including a first driving frequency, a gamma voltage of a sampled display device according to at least one of a top voltage, a bottom voltage, a data swing range, and a minimum grayscale level of the display device, a second driving frequency, and a gamma voltage of a sampled display device according to at least one of a top voltage, a bottom voltage, a data swing range, and a minimum grayscale level of the display device.

[0100] Specifically, the method for driving a display device can generate a second gamma lookup table based on the first gamma lookup table through an artificial intelligence model (S200). In an embodiment, the first gamma lookup table includes a gamma voltage of the display device according to a first driving frequency, and the second gamma lookup table includes a gamma voltage of the display device according to a second driving frequency. In an embodiment, the first gamma lookup table includes a gamma voltage of the display device according to a first driving frequency and a second driving frequency, and the second gamma lookup table includes a gamma voltage of the display device according to a third driving frequency. However, the present disclosure is not limited to a specific number of driving frequencies used for inference or a specific number of inferred driving frequencies.

[0101] In an embodiment, the first gamma lookup table includes gamma voltages of the display device according to a first driving frequency and a dimming level, and the second gamma lookup table includes gamma voltages of the display device according to a second driving frequency and a dimming level.

[0102] In an embodiment, the artificial intelligence model generates a second gamma lookup table by receiving the first gamma lookup table and at least one of a top voltage, a bottom voltage, a data swing range, and a gamma voltage of a lowest gray level of a display device.

[0103] In an embodiment, the second gamma lookup table may be stored in a memory device. In an embodiment, the parameters of the artificial intelligence model may be stored in the memory device, and the display device may implement the artificial intelligence model from the parameters of the artificial intelligence model and generate the second gamma lookup table through the implemented artificial intelligence model.

[0104] The present disclosure may be applied to a display device and an electronic device including the display device. For example, the present disclosure may be applied to a digital television (TV), a three-dimensional (3D) TV, a mobile phone, a smart phone, a tablet computer, a virtual reality (VR) device, a personal computer (PC), a home electronic device, a notebook computer, a personal digital assistant (PDA), a portable media player (PMP), a digital camera, a music player, a portable game console, a navigation system, etc.

[0105] Although described with reference to the above embodiments, it will be understood that various modifications and changes may be made to the present disclosure by those skilled in the art without departing from the spirit and scope of the present disclosure as described in the appended claims.

Claims

1. A display device, comprising: A display panel including sub-pixels; a data driver configured to generate a data voltage based on a gamma voltage and provide the data voltage to the sub-pixel; as well as a gamma voltage generator configured to receive a first gamma lookup table and a second gamma lookup table and generate the gamma voltage based on at least one of the first gamma lookup table and the second gamma lookup table, and provide the gamma voltage to the data driver, Among them, the artificial intelligence model is trained to generate the second gamma lookup table using the first gamma lookup table, the first gamma lookup table includes gamma voltages for sampling display devices driven at different corresponding sampling drive frequencies, and the second gamma lookup table includes gamma voltages for target driving frequencies.

2. The display device according to claim 1, further comprising: A memory device is configured to store the first gamma lookup table and the second gamma lookup table.

3. The display device according to claim 1, further comprising: A memory device configured to store parameters of the artificial intelligence model and the first gamma lookup table.

4. The display device according to claim 1, wherein: The sampling driving frequency is different from the target driving frequency.

5. The display device according to claim 1, wherein: The artificial intelligence model is additionally trained using at least one of a top voltage, a bottom voltage lower than the top voltage, a data swing range, and a gamma voltage of a lowest gray level among gray levels supported by the display panel.

6. The display device according to claim 5, wherein: The gamma voltage is determined as a voltage between the top voltage and the bottom voltage.

7. The display device according to claim 5, wherein: A difference between the gamma voltage of the lowest gray level and the gamma voltage of the highest gray level among the gray levels increases as the data swing range increases.

8. The display device according to claim 1, wherein: The first gamma lookup table includes the gamma voltages according to the sampling driving frequency and the dimming level, and The second gamma lookup table includes the gamma voltages according to the target driving frequency and the dimming level.

9. A method for driving a display device, the method comprising: receiving a first gamma lookup table including gamma voltages for sampling display devices driven at different corresponding sampling drive frequencies; training an artificial intelligence model to generate a second gamma lookup table including gamma voltages for a target driving frequency using the first gamma lookup table; generating a gamma voltage of the display device based on at least one of the first gamma lookup table and the second gamma lookup table; as well as The gamma voltages are provided to a data driver of the display device.

10. The method of claim 9, further comprising storing the second gamma lookup table in a memory device of the display device.

11. The method of claim 9, further comprising storing parameters of the artificial intelligence model in a memory device of the display device.

12. The method according to claim 9, wherein: The training additionally uses at least one of a top voltage, a bottom voltage lower than the top voltage, a data swing range, and a gamma voltage of a lowest gray level of the display device among gray levels supported by the display device.

13. The method according to claim 12, wherein: The first gamma lookup table includes the gamma voltages according to the sampling driving frequency and the dimming level, and The second gamma lookup table includes the gamma voltages according to the target driving frequency and the dimming level.

14. The method according to claim 9, further comprising: The data driver generates a data voltage based on the gamma voltage; as well as The data driver provides the data voltage to sub-pixels of a display panel of the display device.

15. A display device, comprising: A display panel including sub-pixels; a data driver configured to generate a data voltage based on the gamma voltage and provide the data voltage to the sub-pixel; as well as A drive controller configured to train an artificial intelligence model to generate the gamma voltage for a target drive frequency using training data, the training data including a first gamma voltage for a first sampled drive frequency and a first dimming level and a second gamma voltage for a second sampled drive frequency different from the first sampled drive frequency and a second dimming level.

16. The display device according to claim 15, wherein: The first dimming level is the same as the second dimming level.

17. The display device according to claim 15, wherein: The first dimming level and the second dimming level are different from each other.

18. The display device according to claim 15, wherein: The driving controller additionally trains the artificial intelligence model using a top voltage and a bottom voltage lower than the top voltage, and the gamma voltage is determined as a voltage between the top voltage and the bottom voltage.

19. The display device according to claim 15, wherein: The driving controller additionally trains the artificial intelligence model using a data swing range and a gamma voltage of a lowest grayscale level among grayscale levels supported by the display panel.

20. The display device according to claim 19, wherein: A difference between the gamma voltage of the lowest gray level and the gamma voltage of the highest gray level among the gray levels increases as the data swing range increases.

Images