TWI824891B - Sub-pixel pattern detection method, display driver chip, display device and information processing device - Google Patents

Abstract

The present invention mainly discloses a sub-pixel pattern detection method, which is applied in a display device including a display panel and at least one display driver chip, and is executed by the display driver chip. The sub-pixel pattern detection method includes: performing an alignment operation on an input image data to obtain at least an n×m gray-scale value matrix; performing an encoding operation on each row of gray-scale values in the gray-scale value matrix , thereby generating n groups of binary codes containing m bits; combining the n groups of binary codes into one code, and converting the code into a hexadecimal pattern code; and combining the pattern code with a reference pattern code Compare to determine a sub-pixel style. The sub-pixel pattern detection method of the present invention has the following advantages: short pattern code length, low computational complexity, adaptability to detect various sub-pixel patterns by adjusting the size of the grayscale value matrix, and low false detection rate.

Description

Sub-pixel pattern detection method, display driver chip, display device and information processing device

The present invention relates to the technical field related to display driver chips, and in particular, to a sub-pixel pattern detection method integrated in the display driver chip.

It is known that flat display devices have been used in various electronic devices including smart TVs, notebook computers, tablet computers, head-mounted display devices, automatic teller machines, video door stations, smart phones, car entertainment devices, etc. . FIG. 1 is a block diagram of a conventional flat display device. As shown in Figure 1, a conventional flat display device 1a includes: a display panel 11a and at least one display driver chip 12a, wherein the display panel 11a includes X×Y sub-pixels, and the X×Y sub-pixels are Arranged to have a specific sub-pixel pattern.

Generally speaking, the resolution (Resolution) of the flat display device 1a can be improved by increasing the number of pixels per inch (PPI) of the display panel 11a. In order to achieve the final effect of increasing the PPI, it is necessary to increase the resolution as much as possible. Reduce the size of each of the sub-pixels and the spacing between them. However, due to limitations in process technology and cost, sub-pixel size and spacing cannot be reduced infinitely. Therefore, Sub Pixel Rendering (SPR) was proposed. Specifically, sub-pixel rendering is an algorithm (methodology), which is integrated into the display driver chip 12a in the form of a sub-pixel rendering unit 121a, and is used to share part of the sub-pixels by two adjacent pixels. This method achieves an improvement in sensory resolution, so that the low-PPI display panel 11a can have the same display effect as the high-PPI display panel 11a.

Currently, sub-pixel styles are often used, including Real style (or RGB style), Delta style, and Diamond style. It should be understood that different sub-pixel styles must use different SPR algorithms. Therefore, in order to make the display driver chip 12a applicable to the display panel 11a with different sub-pixel patterns, the prior art further provides a sub-pixel pattern detection unit 122a in the display driver chip 12a to detect the The sub-pixel pattern of the display panel 11a. FIG. 2 is a block diagram of the sub-pixel pattern detection unit 122a shown in FIG. 1 . As shown in Figure 2, the sub-pixel pattern detection unit 122a includes: an alignment unit 1221a, a coding unit 1222a and a comparison unit 1223a. After the display driver chip 12a receives an input image data from a host computer (such as an application processor of a smartphone), the alignment unit 1221a adjusts the X×Y sub-pixel grayscale contained in the input image data. An alignment operation is performed on the values to obtain a plurality of 3×3 gray-scale value matrices. Figure 3 is a diagram of a 3×3 gray-scale value matrix.

Then, the encoding unit 1222a encodes the 3×3 grayscale value matrix in a horizontal (h) direction, an upper left and lower right (l) direction, a vertical (v) direction, and an upper right and lower left (r) direction respectively. , to generate a set of hexadecimal codes. For example, as shown in Figure 3, when encoding the 3×3 gray-scale value matrix in the horizontal (h) direction, H(f(V3-V4), f(V5-V4), f(V4- V3), f(V4-V5)) represents horizontal direction encoding, where f() is a function whose value output value is 0 or 1. Specifically, V0 to V8 are sub-pixel gray scale values, and their values are 0 to 255. When the values of 'V3-V4', 'V5-V4', 'V4-V3' and 'V4-V5' are greater than a predetermined upper threshold, f()=1; conversely, if when 'V3-V4', When the values of 'V5-V4', 'V4-V3' and 'V4-V5' are less than a predetermined threshold, f()=0. Therefore, 4 f() will output a binary code with a bit width of 4, and convert this binary code into a set of hexadecimal codes, which is the horizontal direction encoding. After obtaining the horizontal direction code, then calculate the upper left and lower right direction code, a vertical direction code and the upper right and lower left direction code. Finally, the four sets of hexadecimal codes are combined into a pattern code.

Next, the comparison unit 1223a compares the style code with a reference style code to confirm the sub-pixel style. In this way, after determining the sub-pixel style, the sub-pixel rendering unit 121a can activate the corresponding SPR algorithm according to the sub-pixel style, thereby performing a sub-pixel rendering process on the input image data to generate an output. The image data enables the display driver chip 12a to perform display driving on the display panel 11a based on the output image data, so that the display panel 11a displays high-quality and high-resolution images.

However, the main drawback of the sub-pixel pattern detection method used by the sub-pixel pattern detection unit 122a is that the encoding operation takes up too much computing resources of the display driver chip 12a, and therefore cannot be applied to low-end display driver chips 12a. On the other hand, please see FIG. 4A , which is a diagram of a sub-pixel pattern commonly used in the display panel 11a. Moreover, in Figure 4A, a dotted box is used to mark a 3×3 grayscale value matrix. Practical experience points out that the sub-pixel pattern detection method used by the sub-pixel pattern detection unit 122a cannot encode the sub-pixel pattern of the 3×3 grayscale value matrix, and therefore cannot generate the corresponding pattern code. ).

In addition, FIG. 4B and FIG. 4C are diagrams of two other sub-pixel styles commonly used in the display panel 11a. In FIG. 4B, a dotted box is used to mark a first 3×3 grayscale value matrix. Moreover, in Figure 4C, a dotted box is used to mark a second 3×3 grayscale value matrix. Practical experience points out that after performing a sub-pixel pattern detection operation on the first 3×3 gray-scale value matrix in Figure 4B, a first pattern code will be generated. For the second 3×3 gray-scale value matrix in Figure 4C, a first pattern code will be generated. A second style code will be generated after performing a sub-pixel style detection operation. However, the first style code and the second style code have the same encoding content. In other words, the conventional sub-pixel pattern detection unit 122a cannot make an effective distinction between the sub-pixel pattern of FIG. 4B and the sub-pixel pattern of FIG. 4C.

From the above description, it can be seen that a sub-pixel pattern detection method is urgently needed in this field.

The main purpose of the present invention is to provide a sub-pixel pattern detection method. Compared with the detection methods used in the prior art, the sub-pixel pattern detection method of the present invention has the following advantages: short pattern code length, low computational complexity, adjusting the size of the grayscale value matrix to be suitable for detecting various sub-pixel patterns, and low cost. False detection rate. In addition, for certain complex sub-pixel patterns, the detection reliability can be improved by increasing the size of the grayscale value matrix.

To achieve the above object, the present invention proposes an embodiment of the sub-pixel pattern detection method, which is executed by a display driver chip and includes the following steps: Perform an alignment operation on an input image data to obtain at least an n×m grayscale value matrix; Perform an encoding operation on the sub-pixel grayscale values of each row of the grayscale value matrix, thereby generating n sets of binary codes, where each binary code contains m bits, and n and m are both positive integers; Combine the n sets of binary codes into a code, and then convert the code into a hexadecimal code; and The hexadecimal code is used as a style code, and then the style code is compared with a reference style code to determine a sub-pixel style.

In one embodiment, the bit is 0 or 1, and is generated by executing the following conditional judgments (1) and (2 ) : f( Vij ₎ =0,if Vij < _{Dark_th} . ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． (1)

f( V _ij )=1,if V _ij > light_th ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． (2)

n，j

m，Dark_th為一低灰階閥值，且light_th為一高灰階閥值。 Among them, f() is a function, a sub-pixel grayscale value in the grayscale value matrix V _ij , i

n, j

m, Dark_th is a low grayscale threshold, and light_th is a high grayscale threshold.

In one embodiment, when Dark_th≦ Vij _≦ light_th, the output value of the function is 2, and the encoding operation stops at this time.

In one embodiment, the low grayscale threshold is 1, and the high grayscale threshold is 254.

Furthermore, the present invention also provides an embodiment of a display driver chip, which is characterized in that it includes a detection unit for executing a sub-pixel pattern detection method to determine a sub-pixel pattern, and the sub-pixel pattern detection method The method includes the following steps: performing an alignment operation on an input image data to obtain at least an n×m grayscale value matrix; performing an encoding operation on sub-pixel grayscale values in each row of the grayscale value matrix to generate n sets of binary codes, where each binary code contains m bits, and n and m are both positive integers; combine the n sets of binary codes into one code, and then convert the code into a hexadecimal code; And using the hexadecimal code as a style code, then comparing the style code with a reference style code to determine a sub-pixel style.

In one embodiment, the bit is 0 or 1, and is generated by executing the following conditional judgments (1) and (2 ) : f( Vij ₎ =0,if Vij < _{Dark_th} . ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． (1)

f( V _ij )=1,if V _ij > light_th ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． (2)

n，j

m，Dark_th為一低灰階閥值，且light_th為一高灰階閥值。 Among them, f() is a function, a sub-pixel grayscale value in the grayscale value matrix V _ij , i

n, j

m, Dark_th is a low grayscale threshold, and light_th is a high grayscale threshold.

In one embodiment, when Dark_th≦ Vij _≦ light_th, the output value of the function is 2, and the detection unit stops the encoding operation at this time.

In one embodiment, the low grayscale threshold is 1, and the high grayscale threshold is 254.

Further, the present invention also proposes an embodiment of a display device, which includes a display panel and at least one display driver chip, characterized in that the display driver chip executes the sub-pixel pattern detection method of the present invention as described above to determine A pixel style.

In addition, the present invention also provides an information processing device, which includes a display device, and is characterized in that the display device includes a display panel and at least one display driver chip of the present invention as described above. In one embodiment, the information processing device is selected from the group consisting of a smart TV, a smart phone, a smart watch, a tablet computer, an all-in-one computer, a notebook computer, an automatic teller machine, a car entertainment device, and a video door station. An electronic device within a group.

In order to enable the review committee to further understand the structure, characteristics, purpose, and advantages of the present invention, drawings and detailed descriptions of preferred embodiments are attached below.

FIG. 5 is a block diagram of a flat display device applying a seed pixel pattern detection method of the present invention. As shown in FIG. 5 , the flat display device 1 includes: a display panel 11 and at least one display driver chip 12 , wherein the display panel 11 includes X×Y sub-pixels, X and Y are both positive integers, and the X× The Y sub-pixels are arranged to have a specific sub-pixel pattern, and the display driver chip 12 has a sub-pixel rendering (Sub Pixel Rendering, SPR) unit 121. In particular, after the display driver chip 12 receives an input display data from a host computer (such as an application processor of a smartphone), the display driver chip 12 executes the sub-pixel pattern detection method of the present invention to determine a sub-pixel. Then, the sub-pixel rendering unit 121 can activate the corresponding SPR algorithm according to the sub-pixel style, thereby performing a sub-pixel rendering process on the input image data to generate an output image data, so that The display driver chip 12 performs display driving on the display panel 11 based on the output image data, so that the display panel 11 displays high-quality and high-resolution images.

As shown in FIG. 5 , the sub-pixel pattern detection method of the present invention exists in the display driver chip 12 in the form of a sub-pixel pattern detection unit 122 . Further, FIG. 6 is a block diagram of the sub-pixel pattern detection unit 122 shown in FIG. 5 . As shown in FIG. 6 , the sub-pixel pattern detection unit 122 includes: an alignment unit 1221 , a coding unit 1222 and a comparison unit 1223 .

FIG. 7 is a flow chart of a seed pixel pattern detection method according to the present invention. As shown in FIGS. 6 and 7 , the sub-pixel pattern detection method of the present invention first performs step S1: perform an alignment operation on an input image data, thereby obtaining at least an n×m grayscale value matrix. Figure 8 is a schematic diagram of the operation of step S1. Specifically, as shown in Figures 6, 7 and 8, after receiving an input image data from a host computer, the display driver chip 12 activates its sub-pixel pattern detection unit 122 to enable the sub-pixel pattern detection The unit 122 enables its alignment unit 1221 to perform an alignment operation on the X×Y sub-pixel grayscale values contained in the input image data, thereby obtaining a plurality of grayscale value matrices, wherein each grayscale value matrix contains n rows. m columns of sub-pixel grayscale values, n and m are both positive integers.

After completing step S1, the method flow then proceeds to step S2: perform an encoding operation on the sub-pixel grayscale values of each row of the grayscale value matrix, thereby generating n sets of binary codes. Figure 9 is a schematic diagram of the operation of step S2. As shown in FIG. 6 , FIG. 7 and FIG. 9 , for example, the size of the gray scale value matrix is 3×4, that is, it includes 3 rows and 4 columns of sub-pixel gray scale values. In step S2, the sub-pixel pattern detection unit 122 enables its encoding unit 1222 to perform an encoding operation on the sub-pixel gray-scale values in rows 1 to 3 of the 3×4 gray-scale value matrix. Specifically, the sub-pixel grayscale value of the first row is encoded as H( , , , ) represents the horizontal encoding of the first row, where f() is a function, and its output value is generated by executing the following conditional judgments (1) and (2): ···························· (1) ···························· (2)

In the above formulas (1) and (2), For a sub-pixel grayscale value in the grayscale value matrix, i∈n, j∈m, Dark_th is a low grayscale threshold, and light_th is a high grayscale threshold. In one embodiment, Dark_th can be set to 1 and light_th can be set to 254. On the other hand, according to Figure 9, it can be seen that , , , , , , , , , , , . Therefore, the grayscale values of the four sub-pixels in the first row become 4 bits after being converted by the function f(), and these 4 bits form a binary code with a one-bit width of 4. According to the aforementioned method, the sub-pixel grayscale values of the second and third rows are then encoded to generate another two-bit binary code with a width of 4.

After completing step S2, the method flow proceeds to step S3: merging the n sets of binary codes into one code, and then converting the code into a hexadecimal code. Specifically, as shown in FIG. 6 and FIG. 9 , after obtaining n groups of m-bit binary codes corresponding to n rows of sub-pixel gray scale values, the encoding unit 1222 processes the n groups of m-bit binary codes. Combined into a code, and then convert the code into a hexadecimal code. For example, combine 0011, 1001, and 1100 into 001110011100, and then convert 001110011100 into 0x39C. It should be supplemented that according to the design of the present invention, Dark_th≦ In the case of ≦light_th, the output value of function f() is 2, and the encoding operation stops at this time.

Finally, the method flow proceeds to step S4: using the hexadecimal code as a pattern code, and then comparing the pattern code with a reference pattern code to determine a sub-pixel pattern. Specifically, in step S4, the sub-pixel pattern detection unit 122 activates its comparison unit 1223 to compare the pattern code with a reference pattern code, thereby completing the confirmation of the sub-pixel pattern. In this way, after determining the sub-pixel style, the sub-pixel rendering unit 121 can activate the corresponding SPR algorithm according to the sub-pixel style to perform a sub-pixel rendering process on the input image data to generate an output. The image data enables the display driver chip 12 to perform display driving on the display panel 11 according to the output image data, so that the display panel 11 displays high-quality and high-resolution images.

In this way, the above has completely and clearly explained the sub-pixel pattern detection method of the present invention; and from the above, it can be seen that the present invention has the following advantages:

(1) The present invention provides a sub-pixel pattern detection method, which is applied in a display device including a display panel and at least one display driver chip, and is executed by the display driver chip. Compared with the detection methods used in the prior art, the sub-pixel pattern detection method of the present invention has the following advantages: short pattern code length, low computational complexity, adjusting the size of the grayscale value matrix to be suitable for detecting various sub-pixel patterns, and low cost. False detection rate. In addition, for certain complex sub-pixel patterns, the detection reliability can be improved by increasing the size of the grayscale value matrix.

(2) The present invention also provides a display device, which includes a display panel and at least one display driver chip. It is characterized in that the display driver chip executes the sub-pixel pattern detection method of the present invention as described above to determine a sub-pixel. style.

(3) Further, the present invention also provides an information processing device, which includes a display device, and is characterized in that the display device includes a display panel and at least one display driver chip of the present invention as described above. In a feasible embodiment, the information processing device is selected from a smart TV, a smart phone, a smart watch, a tablet computer, an all-in-one computer, a notebook computer, an automatic teller machine, a car entertainment device, and a video doorway An electronic device in a group of machines.

It must be emphasized that the foregoing disclosed in this case are preferred embodiments. Any partial changes or modifications derived from the technical ideas of this case and easily inferred by those familiar with the art do not deviate from the patent of this case. category of rights.

To sum up, regardless of the purpose, means and effects of this case, it shows that it is completely different from the conventional technology, and that the invention is practical first, and indeed meets the patent requirements for inventions. I sincerely ask the review committee to take a clear look and grant the patent as soon as possible for your benefit. Society is a prayer for the Supreme Being.

1a: Flat display device 11a:Display panel 12a: Display driver chip 121a: Sub-pixel rendering unit 122a: Sub-pixel pattern detection unit 1221a: Alignment unit 1222a: Coding unit 1223a: Comparison unit 1: Flat display device 11:Display panel 12:Display driver chip 121: Sub-pixel rendering unit 122: Sub-pixel style detection unit 1221: Alignment unit 1222: coding unit 1223:Comparison unit S1: Perform an alignment operation on an input image data to obtain at least an n×m grayscale value matrix. S2: Perform an encoding operation on each row of sub-pixel grayscale values in the grayscale value matrix, thereby generating n sets of binary codes. S3: Combine the n sets of binary codes into one code, and then convert the code into a hexadecimal code S4: Use the hexadecimal code as a style code, and then compare the style code with a reference style code to determine a sub-pixel style.

Figure 1 is a block diagram of a conventional flat display device; Figure 2 is a block diagram of the sub-pixel pattern detection unit shown in Figure 1; Figure 3 is a diagram of a 3×3 grayscale value matrix; Figure 4A is a conventional A diagram of a sub-pixel pattern in the display panel as shown in Figure 1; Figure 4B is a diagram of another sub-pixel pattern commonly used in the display panel as shown in Figure 1; FIG. 4C is a diagram of another sub-pixel style commonly used in the display panel shown in FIG. 1; Figure 5 is a block diagram of a flat display device applying a seed pixel pattern detection method of the present invention; Figure 6 is a block diagram of the sub-pixel pattern detection unit shown in Figure 5; Figure 7 is a flow chart of a seed pixel pattern detection method according to the present invention; Figure 8 is a schematic diagram of the operation of step S1; and Figure 9 is a schematic diagram of the operation of step S2.

S1: Perform an alignment operation on an input image data to obtain at least an n×m grayscale value matrix.

S2: Perform an encoding operation on each row of sub-pixel grayscale values in the grayscale value matrix, thereby generating n sets of binary codes.

S3: Combine the n sets of binary codes into one code, and then convert the code into a hexadecimal code

S4: Use the hexadecimal code as a style code, and then compare the style code with a reference style code to determine a sub-pixel style.

Claims (10)

A sub-pixel pattern detection method is executed by a display driver chip and includes the following steps: Perform an alignment operation on an input image data to obtain at least an n×m grayscale value matrix; Perform an encoding operation on the sub-pixel grayscale values of each row of the grayscale value matrix, thereby generating n sets of binary codes, where each binary code contains m bits, and n and m are both positive integers; Combine the n sets of binary codes into a code, and then convert the code into a hexadecimal code; and The hexadecimal code is used as a style code, and then the style code is compared with a reference style code to determine a sub-pixel style. The sub-pixel style detection method as described in claim 1, wherein the bit is 0 or 1, and is generated by executing the following conditional judgment formulas (1) and (2): ························· (1); ························(2); Among them, f() is a function, For a sub-pixel grayscale value in the grayscale value matrix, i∈n, j∈m, Dark_th is a low grayscale threshold, and light_th is a high grayscale threshold. The child pixel style detection method as described in request item 2, wherein when Dark_th≦ In the case of ≦light_th, the output value of the function is 2, and the encoding operation stops at this time. The sub-pixel style detection method as described in claim 2, wherein the low gray-scale threshold is 1 and the high gray-scale threshold is 254. A display driver chip, characterized in that it includes a detection unit for executing a sub-pixel pattern detection method to determine a sub-pixel pattern, and the sub-pixel pattern detection method includes the following steps: detecting an input image data Perform an alignment operation to obtain at least an n×m grayscale value matrix; perform an encoding operation on the sub-pixel grayscale values of each row of the grayscale value matrix to generate n sets of binary codes, wherein each of the binary codes The code contains m bits, and n and m are both positive integers; combine the n sets of binary codes into one code, and then convert the code into a hexadecimal code; and use the hexadecimal code as the same The style code is then compared with a reference style code to determine a sub-pixel style. The display driver chip of claim 5, wherein the bit is 0 or 1, and is generated by executing the following conditional judgment formulas (1) and (2): f( V _ij )=0,if V _ij < Dark_th ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． (1); f( V _ij )=1,if V _ij > light_th ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． ． (2); where, f() is a function, a sub-pixel grayscale value in the grayscale value matrix V _ij , i

n, j

m, Dark_th is a low grayscale threshold, and light_th is a high grayscale threshold. The display driver chip according to claim 6, wherein when Dark_th≦ Vij _≦ light_th, the output value of the function is 2, and at this time, the detection unit stops the encoding operation. The display driver chip of claim 6, wherein the low gray scale threshold is 1 and the high gray scale threshold is 254. A display device, including a display panel and at least one display driver chip, characterized in that the display driver chip executes the sub-pixel pattern detection method as described in any one of claims 1 to 4 to determine a sub-pixel Elemental style. An information processing device includes a display device, characterized in that the display device includes a display panel and at least one display driver chip as described in any one of claims 5 to 8.