CN109348087B - Correction method and correction device - Google Patents
Correction method and correction device Download PDFInfo
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- CN109348087B CN109348087B CN201811405659.XA CN201811405659A CN109348087B CN 109348087 B CN109348087 B CN 109348087B CN 201811405659 A CN201811405659 A CN 201811405659A CN 109348087 B CN109348087 B CN 109348087B
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- H04N5/14—Picture signal circuitry for video frequency region
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Abstract
The embodiment of the invention provides a correction method and a correction device, wherein the method comprises the following steps: if the acquired original image data is matched with image data in preset data mapping relation information, acquiring intermediate data corresponding to the image data, wherein the data mapping relation information comprises the image data and the intermediate data corresponding to the image data; and acquiring correction data according to the intermediate data corresponding to the image data. Because the correction method is not realized by hardware when the intermediate data is acquired, the process of acquiring the intermediate data is not influenced by the characteristics of the hardware, and the accuracy of the finally acquired correction data can be improved.
Description
Technical Field
The present invention relates to the field of display technologies, and in particular, to a calibration method and a calibration apparatus.
Background
In an Organic Light-Emitting Diode (OLED) display, since the luminance of an OLED device is linearly related to the current flowing through the OLED device, the OLED device is driven by a thin film transistor in active driving, and the gate-source voltage of the thin film transistor is approximately square related to the current, so that a nonlinear relationship exists between the output voltage of a Digital-to-analog converter (DAC) and the current passing through the OLED, and the relationship between the gamma curve and the current-voltage of the thin film transistor needs to be corrected.
In a conventional display driving chip, a Digital-to-analog converter (DAC) is usually implemented by using a resistor string and a switch array, a voltage division function is implemented by inserting the resistor string between two sets of reference voltages, and then corresponding switches are turned on under the control of image data to obtain different voltages. Such non-linear gamma correction is achieved by changing the voltage values at corresponding points of certain image data, while remaining linear between the unchanged points. In order to solve this problem, although this can be achieved by changing the number of resistors between adjacent dots, the number of resistors is increased and the area is increased as the gray scale is increased, and this non-linear gamma correction method has a problem of low accuracy.
Disclosure of Invention
The invention aims to provide a correction method and a correction device to solve the problem of low precision of the conventional correction method.
In order to achieve the above object, the present invention provides a calibration method applied to a calibration apparatus, including:
if the acquired original image data is matched with image data in preset data mapping relation information, acquiring intermediate data corresponding to the image data, wherein the data mapping relation information comprises the image data and the intermediate data corresponding to the image data;
and acquiring correction data according to the intermediate data corresponding to the image data.
Further, before the step of acquiring intermediate data corresponding to the image data if the acquired original image data is matched with the image data in the preset data mapping relationship information, the method further includes:
and determining the data mapping relation information, wherein the same image data corresponds to a plurality of intermediate data in the data mapping relation information.
Further, the step of determining the data mapping relationship information includes:
determining adjustment data; wherein the adjustment data comprises at least first image data and second image data;
determining a first voltage corresponding to the first image data and a second voltage corresponding to the second image data according to a pre-acquired first relation curve; wherein the first relation curve is a relation curve between image data and voltage;
dividing a voltage interval between the first voltage and the second voltage to obtain an intermediate voltage;
determining third image data corresponding to the intermediate voltage according to the first relation curve;
determining at least two first intermediate data corresponding to the intermediate voltage according to a pre-acquired second relation curve; wherein the second relation curve is a relation curve between intermediate data and voltage;
and determining the data mapping relation information according to the third image data and at least two first intermediate data.
Further, the step of dividing the voltage interval between the first voltage and the second voltage to obtain an intermediate voltage includes:
and dividing a voltage interval between the first voltage and the second voltage according to the number of image data between the first image data and the second image data to obtain an intermediate voltage.
Further, the step of determining at least two first intermediate data corresponding to the intermediate voltages according to the pre-obtained second relationship curve includes:
according to the second relation curve, acquiring intermediate data corresponding to N voltages within the intermediate voltage preset range, wherein N is an integer greater than 1;
and taking the intermediate data corresponding to the N voltages as the N first intermediate data.
The present invention also provides a calibration apparatus comprising:
the acquisition module is used for acquiring intermediate data corresponding to the image data if the acquired original image data is matched with the image data in preset data mapping relation information, wherein the data mapping relation information comprises the image data and the intermediate data corresponding to the image data;
and the correction module is used for acquiring correction data according to the intermediate data corresponding to the image data.
Further, the correction device further comprises:
and the mapping relation determining module is used for determining the data mapping relation information, wherein in the data mapping relation information, the same image data corresponds to a plurality of intermediate data.
Further, the mapping relationship determining module includes:
a first determining submodule for determining adjustment data; wherein the adjustment data comprises at least first image data and second image data;
the second determining submodule is used for determining a first voltage corresponding to the first image data and a second voltage corresponding to the second image data according to a pre-acquired first relation curve; wherein the first relation curve is a relation curve between image data and voltage;
the intermediate voltage acquisition submodule is used for dividing a voltage interval between the first voltage and the second voltage to obtain an intermediate voltage;
the third determining submodule is used for determining third image data corresponding to the intermediate voltage according to the first relation curve;
the fourth determining submodule is used for determining at least two first intermediate data corresponding to the intermediate voltage according to a pre-acquired second relation curve; wherein the second relation curve is a relation curve between intermediate data and voltage;
and the mapping relation determining submodule is used for determining the data mapping relation information according to the third image data and at least two pieces of first intermediate data.
Further, the intermediate voltage obtaining sub-module is configured to divide a voltage interval between the first voltage and the second voltage according to the number of image data between the first image data and the second image data to obtain an intermediate voltage.
Further, the fourth determination submodule is configured to:
according to the second relation curve, acquiring intermediate data corresponding to N voltages within the intermediate voltage preset range, wherein N is an integer greater than 1;
and taking the intermediate data corresponding to the N voltages as the N first intermediate data.
An embodiment of the present invention further provides a calibration apparatus, including: the correction method comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the computer program is executed by the processor, the steps in the correction method provided by the embodiment of the invention are realized.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the steps in the correction method provided in the embodiment of the present invention.
In the embodiment of the invention, if the acquired original image data is matched with the image data in the preset data mapping relation information, intermediate data corresponding to the image data is acquired, wherein the data mapping relation information comprises the image data and the intermediate data corresponding to the image data; and acquiring correction data according to the intermediate data corresponding to the image data. Therefore, the intermediate data corresponding to the image data in the data mapping relation information is adjusted, and then the correction data is obtained according to the intermediate data, so that the non-linear correction of the gamma curve can be realized.
Drawings
FIG. 1 is a flowchart of a calibration method according to an embodiment of the present invention;
FIG. 1a is a schematic structural diagram of a calibration apparatus using a calibration method according to an embodiment of the present invention;
FIG. 2 is a second flowchart of a calibration method according to an embodiment of the present invention;
FIG. 3 is a third flowchart of a calibration method according to an embodiment of the present invention;
FIG. 4 is a plot of code value versus voltage before correction;
FIG. 5 is a corrected code value versus voltage curve;
FIG. 5a is a diagram illustrating a relationship between voltages corresponding to low-bit-width image data and voltages corresponding to high-bit-width image data;
FIG. 6 is a block diagram of a calibration apparatus according to an embodiment of the present invention;
FIG. 7 is a second block diagram of a calibration apparatus according to an embodiment of the present invention;
FIG. 8 is a third block diagram of a calibration apparatus according to an embodiment of the present invention;
fig. 9 is a structural diagram of another calibration device provided in an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, fig. 1 is a flowchart of a calibration method according to an embodiment of the present invention, and as shown in fig. 1, the embodiment of the present invention provides a calibration method applied to a calibration apparatus, including the following steps:
Specifically, the obtained original image data is matched with the image data in the preset data mapping relationship information, and it can be understood that the original image data is equal to the image data in the preset data mapping relationship information.
The original image data is data to be adjusted, and the original image data is binary data. The data mapping relationship information includes a correspondence relationship between the image data and the intermediate data. In this embodiment, the image data and the intermediate data in the data mapping relationship information may be binary data, wherein a bit width of the image data is smaller than a bit width of the intermediate data. In the data mapping relationship information, one image data corresponds to at least two intermediate data, so that the same set of original image data can be mapped to different intermediate data.
In this embodiment, the addressing mode can be used to obtain the corresponding intermediate data according to the image data. The intermediate data is pre-stored in a Random Access Memory (RAM), and the image data is used as an address for acquiring the corresponding intermediate data, so that the acquired original image data is input into the RAM as an address signal, and the corresponding intermediate data is then extracted from the RAM.
The above-described manner of acquiring intermediate data using the RAM requires the use of a large number of memory cells, for example, 2 when the number of bits of image data is NNThe data of the group is completely stored, and then a plurality of intermediate data corresponding to the same image data are obtained by changing the addressing mode. The change of addressing mode can be realized by programming. Since the addressing mode can be changed by programming, the gamma curve error generated by the process deviation can be adjusted in real time even at the finished stage of the OLED device.
To reduce the number of memory cells, less than 2 may be stored in RAMNData of group data, e.g. storing only 2N-2And the group data is subjected to constant addressing mode each time, and a plurality of corresponding intermediate data are obtained according to the same image data by changing the data in the corresponding storage units.
When the correction device acquires the original image data, the original image data is input into the RAM as an address code, the corresponding storage unit is searched according to the address code, and the intermediate data is taken out from the storage unit, so that the intermediate data corresponding to the original image data is acquired.
The data mapping relationship information may be implemented in other ways besides the addressing way, for example, the corresponding relationship between the image data and the intermediate data is recorded in a form of a table, and after the original image data is obtained, the intermediate data corresponding to the original image data is searched in the table. The implementation manner of the data mapping relationship information may be selected according to actual situations, and is not limited herein.
And 102, acquiring correction data according to the intermediate data corresponding to the image data.
After the intermediate data is acquired, the intermediate data is input to a Digital to analog converter (DAC), and the data output from the DAC is the correction data. A DAC is a device that converts a digital signal into an analog signal (in the form of a current, voltage, or charge). In this embodiment, the correction data may be a voltage output from the DAC output terminal. Fig. 1a is a schematic structural diagram of a calibration apparatus using the calibration method according to an embodiment of the present invention.
In this embodiment, if the acquired original image data matches image data in preset data mapping relationship information, intermediate data corresponding to the image data is acquired, where the data mapping relationship information includes the image data and the intermediate data corresponding to the image data; and acquiring correction data according to the intermediate data corresponding to the image data. Therefore, the intermediate data corresponding to the image data in the data mapping relation information is adjusted, and then the correction data is obtained according to the intermediate data, so that the non-linear correction of the gamma curve can be realized.
Further, as shown in fig. 2, in an embodiment of the present invention, before step 101, the method further includes:
The data mapping relationship information includes a plurality of image data, each corresponding to a plurality of intermediate data. Image data having a small code value (image data is binary, i.e., a binary value), has a small code value of a plurality of corresponding intermediate data. For example, for image data a and image data B, image data a corresponds to intermediate data a1 and intermediate data a2, and image data B corresponds to intermediate data B1 and intermediate data B2. If the code value of image data A is smaller than that of image data B, the code values of intermediate data a1 and intermediate data a2 are smaller than those of intermediate data B1 and intermediate data B2.
Because each image data corresponds to a plurality of intermediate data, the mapping relationship between the image data and the intermediate data is not fixed, and the code value of the corresponding intermediate data is increased with the increase of the code value of the image data, but the increase amplitude of the code value of the intermediate data is different, so that the voltage of the intermediate data output by the DAC is not increased linearly, and the nonlinear correction of the gamma curve is realized.
Further, as shown in fig. 3, step 100 in fig. 2 determines the data mapping relationship information, including step 1001 to determine the adjustment data; wherein the adjustment data comprises at least first image data and second image data.
Since it may not be necessary to perform nonlinear adjustment on all the points on the OLED device during actual debugging, in order to save the calculation amount, only the data to be adjusted may be adjusted, that is, the adjustment data may be determined according to the actual requirement. The adjustment data is binary data, the adjustment data at least comprises first image data and second image data, and the first image data and the second image data are data corresponding to points on the OLED device determined according to actual requirements.
The first relation curve is a theoretical relation curve between image data and voltage, and specifically is a relation curve between code values of the image data and the voltage.
The voltage interval between the first voltage and the second voltage is divided, and the dividing method may be selected according to actual situations, for example, the voltage interval between the first voltage and the second voltage is divided according to the number of image data between the first image data and the second image data to obtain at least one intermediate voltage.
Since the first image data and the second image data are both binary data, the number of image data between the first image data and the second image data, that is, the number of image data spaced between the first image data and the second image data, is, for example, 0010, 0011, and 1000 for the first image data and the second image data if the first image data is 0001 and the second image data is 0101, and 3 for the first image data and the second image data. In this case, the voltage interval between the first voltage and the second voltage may be equally divided according to the number of image data. After the voltage interval is divided, at least one intermediate voltage needs to be obtained. There may be more than one intermediate voltage.
And 1004, determining third image data corresponding to the intermediate voltage according to the first relation curve.
After the intermediate voltage is obtained, image data corresponding to the intermediate voltage is obtained according to the corresponding relation between the image data and the voltage in the first relation curve, and the image data corresponding to the intermediate voltage is used as third image data.
The second relation curve is a relation curve between the intermediate data and the voltage, and specifically is a relation curve between the code value of the intermediate data and the voltage. In the second relation curve, the relation between the intermediate data and the voltage may be adjusted according to actual conditions, for example, for the intermediate data m, the voltage corresponding to the intermediate data m may be adjusted in a programming manner.
When determining the intermediate data corresponding to the intermediate voltage according to the second relationship curve, the method specifically includes: according to the second relation curve, acquiring intermediate data corresponding to N voltages within the intermediate voltage preset range, wherein N is an integer greater than 1; and taking the intermediate data corresponding to the N voltages as the N first intermediate data.
The preset range may be set according to actual conditions, and is not limited herein. After the intermediate voltage is obtained, N voltages within a preset range of the intermediate voltage are further determined, intermediate data corresponding to the N voltages are searched according to a second relation curve, N intermediate data are searched in this way, and the N intermediate data are used as N first intermediate data. Since N is an integer greater than 1, the N first intermediate data obtained are at least two first intermediate data.
The data mapping relationship information is constructed according to the third image data and the at least two first intermediate data, which can be understood as that the data mapping relationship information includes the third image data and the at least two first intermediate data corresponding to the third image data.
The data mapping relationship information includes a plurality of image data (the plurality of image data may also be understood as a plurality of third image data) each corresponding to a plurality of intermediate data (the plurality of intermediate data may also be understood as a plurality of first intermediate data).
Image data having a small code value (image data is binary, i.e., a binary value), has a small code value of a plurality of corresponding intermediate data. For example, for image data a and image data B, image data a corresponds to intermediate data a1 and intermediate data a2, and image data B corresponds to intermediate data B1 and intermediate data B2. If the code value of image data A is smaller than that of image data B, the code values of intermediate data a1 and intermediate data a2 are smaller than those of intermediate data B1 and intermediate data B2.
Because each image data corresponds to a plurality of intermediate data, the mapping relationship between the image data and the intermediate data is not fixed, and the code value of the corresponding intermediate data is increased with the increase of the code value of the image data, but the increase amplitude of the code value of the intermediate data is different, so that the voltage of the intermediate data output by the DAC is not increased linearly, and the nonlinear correction of the gamma curve is realized.
The embodiment shown in fig. 3 is explained below. The method for acquiring the data mapping relationship information will be described by taking an example of intermediate data in which 4-bit (bit for short) image data is mapped to 6 bits. Wherein the full swing voltage range is set to 0-60V.
In this step, first, a voltage corresponding to image data (e.g., first image data and second image data) included in the adjustment data is found on the first relational curve. As shown in Table 1, the 4-bit image code value and the corresponding voltage obtained according to the first relationship curve, the 4-bit image code value in Table 1 is the code value of the image data included in the adjustment data.
TABLE 1
| 4bit image code value | Voltage of | 4bit image code value | Voltage of |
| 0000 | 0 | 1100 | 35 |
| 0101 | 5 | 1110 | 51 |
| 1001 | 17 | 1111 | 60 |
After the data in Table 1 is obtained, two 4-bit image code values are selected, and then linear interpolation is performed between the two 4-bit image code values. The interpolation method comprises the following steps: firstly, the voltage difference between the two 4-bit image code values is solved according to the voltages corresponding to the two 4-bit image code values, then the voltage difference is equally divided according to the number of the image code values between the two 4-bit image code values, and finally 6-bit image data within the preset range of the equally divided voltages are found out on a second relation curve, so that the image bit width expansion mapping is completed. Table 2 shows the mapping relationship between the 4-bit image code value (i.e., the code value of 4-bit image data) and the 6-bit image code value (i.e., the code value of 6-bit image data).
TABLE 2
| 4bit image code value | 6bit image code values | 4bit image code value | 6bit image code values |
| 0000 | 000000 | 1000 | 001111 |
| 0001 | 000001 | 1001 | 010010 |
| 0010 | 000010 | 1010 | 011000 |
| 0011 | 000011 | 1011 | 011111 |
| 0100 | 000100 | 1100 | 100101 |
| 0101 | 000101 | 1101 | 101110 |
| 0110 | 001001 | 1110 | 110110 |
| 0111 | 001100 | 1111 | 111111 |
The relationship between the output voltage of the DAC before bit width expansion and the 4-bit image data is shown in FIG. 4, and the relationship between the output voltage of the DAC after bit width expansion and the 4-bit image data is shown in FIG. 5, and comparing with FIGS. 4 and 5, it can be known that the nonlinear relationship between the code value and the output voltage can be effectively controlled by the correction method provided by the invention.
When 4-bit image data is mapped to 6-bit intermediate data, if the highest reference voltage and the lowest reference voltage corresponding to each of the 4-bit image data (i.e., low-bit-width image data) and the 6-bit intermediate data (i.e., high-bit-width image data) are the same, the voltage level corresponding to the high-bit-width image data is more than that of the low-bit-width image data. At this time, voltages corresponding to the highest code value and the lowest code value of the high-bit-width image data are the same as voltages corresponding to the highest code value and the lowest code value of the low-bit-width image data, and thus a mapping relationship between the intermediate code value of the low-bit-width image data (i.e., the code value between the highest code value and the lowest code value of the low-bit-width image data) and the intermediate code value of the high-bit-width image data (i.e., the code value between the highest code value and the lowest code value of the high-bit-width image data) may be set to be non-linear.
That is to say, the intermediate code value of the low-bit-width image data may correspond to intermediate code values of a plurality of high-bit-width image data, and fig. 5a is a schematic diagram illustrating a relationship between a voltage corresponding to the low-bit-width image data and a voltage corresponding to the high-bit-width image data, where reference numeral 1 indicates a high voltage corresponding to the low-bit-width image data (or a code value of the low-bit-width image data), and reference numeral 2 indicates a low voltage corresponding to the low-bit-width image data; reference numeral 3 denotes a voltage corresponding to the intermediate code value of the low-bit-width image data; reference numeral 4 denotes a high voltage (equal to the voltage denoted by reference numeral 1) corresponding to the high-bit-width image data (or the code value of the high-bit-width image data), and reference numeral 6 denotes a low voltage (equal to the voltage denoted by reference numeral 2) corresponding to the high-bit-width image data; the reference 5 circles show voltages corresponding to intermediate code values of high-bit-width image data. The voltage corresponding to the intermediate code value of the low-bit-width image data shown by the reference numeral 3 has a mapping relationship with a plurality of voltages corresponding to the intermediate code value of the high-bit-width image data shown by the circles of the reference numeral 5.
The mapping relationship between the low-bit-width image data and the high-bit-width image data only needs to satisfy the condition that no cross exists between the mapping relationships between the low-bit-width image data and the high-bit-width image data, so that the corresponding voltage is ensured to increase along with the increase of the code value of the low-bit-width image data. Because the mapping relationship between the low-bit-width image data and the high-bit-width image data after the bit width expansion is not fixed, the corresponding voltage is increased along with the increase of the low-bit-width image data code value, but the voltage increase amplitude is different, that is, the voltage corresponding to the low-bit-width image data code value is not increased linearly any more.
The mapping relation between the low-bit-width image data and the high-bit-width image data can be obtained in the mode. And storing the high-bit-width image data in a storage unit of the RAM, and selecting the high-bit-width image data corresponding to the low-bit-width image data from the storage unit in an addressing mode when the correction device receives the low-bit-width image data. Then the high bit width image data is sent to the linear DAC, and finally a nonlinear curve is formed between the output of the DAC and the low bit width image data, so that the function of gamma correction is realized.
Because the addressing mode can be changed through programming, the same group of low-bit-width image data can be mapped into different high-bit-width image data, and therefore the adjustment of the DAC output characteristic curve is achieved. This allows for adjustment of errors in the gamma curve due to process variations.
Due to the above addressing scheme, 2 is requiredNThe data of the group is completely saved, which requires the use of a large number of memory cells, and in order to reduce the number of memory cells, only 2 may be storedN-2Group data, each time the addressing mode is not changed, by changing the corresponding storageThe data in the unit realizes the mapping of the same group of low-bit-width image data into different high-bit-width image data. The mapping relation can be adjusted in real time in a programming mode, and the mode of determining the mapping relation between the low-bit-width image data and the high-bit-width image data is realized without hardware, so that the process of acquiring the high-bit-width image data is not influenced by the characteristics of the hardware, and the accuracy of finally acquired correction data can be improved.
As shown in fig. 6, the present embodiment provides a correction device 200, including:
an obtaining module 201, configured to obtain intermediate data corresponding to image data if the obtained original image data matches the image data in preset data mapping relationship information, where the data mapping relationship information includes the image data and the intermediate data corresponding to the image data;
and a correction module 202, configured to obtain correction data according to the intermediate data corresponding to the image data.
Further, as shown in fig. 7, the correction apparatus 200 provided in this embodiment further includes a mapping relationship determining module 203, configured to determine the data mapping relationship information, where in the data mapping relationship information, the same image data corresponds to multiple pieces of intermediate data.
Further, as shown in fig. 8, the mapping relation determining module 203 includes:
a first determining sub-module 2031 for determining the adjustment data; wherein the adjustment data comprises at least first image data and second image data;
a second determining submodule 2032, configured to determine, according to a pre-obtained first relationship curve, a first voltage corresponding to the first image data and a second voltage corresponding to the second image data; wherein the first relation curve is a relation curve between image data and voltage;
the intermediate voltage obtaining submodule 2033 is configured to divide a voltage interval between the first voltage and the second voltage to obtain an intermediate voltage;
a third determining submodule 2034, configured to determine, according to the first relation curve, third image data corresponding to the intermediate voltage;
a fourth determining submodule 2035, configured to determine, according to a pre-acquired second relationship curve, at least two pieces of first intermediate data corresponding to the intermediate voltage; wherein the second relation curve is a relation curve between intermediate data and voltage;
the mapping relation determining sub-module 2036 is configured to determine the data mapping relation information according to the third image data and the at least two pieces of first intermediate data.
Further, the intermediate voltage obtaining sub-module 2033 is configured to divide a voltage interval between the first voltage and the second voltage according to the number of image data between the first image data and the second image data to obtain an intermediate voltage.
Further, the fourth determining sub-module 2035 is configured to:
according to the second relation curve, acquiring intermediate data corresponding to N voltages within the intermediate voltage preset range, wherein N is an integer greater than 1;
and taking the intermediate data corresponding to the N voltages as the N first intermediate data.
It should be noted that, the correction device in this embodiment may implement any implementation manner in the method embodiment in the embodiment shown in fig. 4, that is, any implementation manner in the method embodiment in the embodiment shown in fig. 4 may be implemented by the correction device in this embodiment, and the same beneficial effects are achieved, and details are not described here.
Referring to fig. 9, fig. 9 is a structural diagram of a calibration method according to an embodiment of the present invention, and as shown in fig. 9, a calibration apparatus 1200 includes: a memory 1201, a processor 1202, and a computer program stored on the memory 1201 and executable on the processor 1202, wherein,
the processor 1202 is configured to read the computing program in the memory 1201, and execute the following processes:
if the acquired original image data is matched with image data in preset data mapping relation information, acquiring intermediate data corresponding to the image data, wherein the data mapping relation information comprises the image data and the intermediate data corresponding to the image data;
and acquiring correction data according to the intermediate data corresponding to the image data.
Further, before the step of acquiring intermediate data corresponding to the image data from the pre-acquired data mapping relationship information if the original image data is acquired, the method further includes:
and determining the data mapping relation information, wherein the same image data corresponds to a plurality of intermediate data in the data mapping relation information.
Further, the step of determining the data mapping relationship information includes:
determining adjustment data; wherein the adjustment data comprises at least first image data and second image data;
determining a first voltage corresponding to the first image data and a second voltage corresponding to the second image data according to a pre-acquired first relation curve; wherein the first relation curve is a relation curve between image data and voltage;
dividing a voltage interval between the first voltage and the second voltage to obtain an intermediate voltage;
determining third image data corresponding to the intermediate voltage according to the first relation curve;
determining at least two first intermediate data corresponding to the intermediate voltage according to a pre-acquired second relation curve; wherein the second relation curve is a relation curve between intermediate data and voltage;
and determining the data mapping relation information according to the third image data and at least two first intermediate data.
Further, the step of dividing the voltage interval between the first voltage and the second voltage to obtain an intermediate voltage includes:
and dividing a voltage interval between the first voltage and the second voltage according to the number of image data between the first image data and the second image data to obtain an intermediate voltage.
Further, the step of determining at least two first intermediate data corresponding to the intermediate voltages according to the pre-obtained second relationship curve includes:
according to the second relation curve, acquiring intermediate data corresponding to N voltages within the intermediate voltage preset range, wherein N is an integer greater than 1;
taking the intermediate data corresponding to the at least N voltages as N first intermediate data
It should be noted that, in this embodiment, any implementation manner in the method embodiment shown in fig. 1 and fig. 3 may be implemented by the above-mentioned correction method in this embodiment, that is, any implementation manner in the method embodiment shown in fig. 1 and fig. 3 may be implemented by the above-mentioned correction method in this embodiment, and the same beneficial effects are achieved, and details are not described here again.
The embodiment of the invention also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the computer program realizes the correction method provided by the embodiment of the invention.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A correction method is applied to a correction device and is characterized by comprising the following steps:
if the acquired original image data is matched with image data in preset data mapping relation information, acquiring intermediate data corresponding to the image data, wherein the data mapping relation information comprises the image data and the intermediate data corresponding to the image data;
acquiring correction data according to intermediate data corresponding to the image data;
before the step of acquiring intermediate data corresponding to the image data if the acquired original image data is matched with the image data in the preset data mapping relationship information, the method further includes:
determining the data mapping relation information, wherein in the data mapping relation information, the same image data corresponds to a plurality of intermediate data;
the step of determining the data mapping relationship information includes:
determining adjustment data; wherein the adjustment data comprises at least first image data and second image data;
determining a first voltage corresponding to the first image data and a second voltage corresponding to the second image data according to a pre-acquired first relation curve; wherein the first relation curve is a relation curve between image data and voltage;
dividing a voltage interval between the first voltage and the second voltage to obtain an intermediate voltage;
determining third image data corresponding to the intermediate voltage according to the first relation curve;
determining at least two first intermediate data corresponding to the intermediate voltage according to a pre-acquired second relation curve; the second relation curve is a relation curve between intermediate data and voltage, and the first intermediate data is intermediate data corresponding to the voltage in the intermediate voltage preset range in the second relation curve;
and determining the data mapping relation information according to the third image data and at least two first intermediate data.
2. The correction method according to claim 1, wherein said step of dividing the voltage interval between said first voltage and said second voltage to obtain an intermediate voltage comprises:
and dividing a voltage interval between the first voltage and the second voltage according to the number of image data between the first image data and the second image data to obtain an intermediate voltage.
3. The correction method according to claim 1, characterized in that said step of determining at least two first intermediate data corresponding to said intermediate voltages according to a pre-acquired second relationship curve comprises:
according to the second relation curve, acquiring intermediate data corresponding to N voltages within the intermediate voltage preset range, wherein N is an integer greater than 1;
and taking the intermediate data corresponding to the N voltages as the N first intermediate data.
4. A calibration device, comprising:
the acquisition module is used for acquiring intermediate data corresponding to the image data if the acquired original image data is matched with the image data in preset data mapping relation information, wherein the data mapping relation information comprises the image data and the intermediate data corresponding to the image data;
the correction module is used for acquiring correction data according to the intermediate data corresponding to the image data;
further comprising:
a mapping relation determining module, configured to determine the data mapping relation information, where in the data mapping relation information, the same image data corresponds to multiple pieces of intermediate data;
the mapping relation determining module comprises:
a first determining submodule for determining adjustment data; wherein the adjustment data comprises at least first image data and second image data;
the second determining submodule is used for determining a first voltage corresponding to the first image data and a second voltage corresponding to the second image data according to a pre-acquired first relation curve; wherein the first relation curve is a relation curve between image data and voltage;
the intermediate voltage acquisition submodule is used for dividing a voltage interval between the first voltage and the second voltage to obtain an intermediate voltage;
the third determining submodule is used for determining third image data corresponding to the intermediate voltage according to the first relation curve;
the fourth determining submodule is used for determining at least two first intermediate data corresponding to the intermediate voltage according to a pre-acquired second relation curve; the second relation curve is a relation curve between intermediate data and voltage, and the first intermediate data is intermediate data corresponding to the voltage in the intermediate voltage preset range in the second relation curve;
and the mapping relation determining submodule is used for determining the data mapping relation information according to the third image data and at least two pieces of first intermediate data.
5. The correction apparatus according to claim 4, wherein the intermediate voltage obtaining sub-module is configured to divide a voltage interval between the first voltage and the second voltage according to the number of image data between the first image data and the second image data to obtain an intermediate voltage.
6. The correction device of claim 4, wherein the fourth determination submodule is configured to:
according to the second relation curve, acquiring intermediate data corresponding to N voltages within the intermediate voltage preset range, wherein N is an integer greater than 1;
and taking the intermediate data corresponding to the N voltages as the N first intermediate data.
7. A calibration device, comprising: memory, processor and computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps in the correction method according to any one of claims 1 to 3.
8. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps in the correction method according to one of claims 1 to 3.
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