CN116825039B - Backlight brightness calculating method, display device and computer readable storage medium - Google Patents
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Abstract
The application discloses a backlight brightness calculation method, display equipment and a computer-readable storage medium, and belongs to the technical field of display. The backlight brightness calculating method is applied to display equipment and comprises the following steps: acquiring an image signal displayed by a display device, wherein the image signal comprises a plurality of display partitions; performing quantization processing on the image signals to obtain characteristic data of each display partition; determining image classification information of each display partition according to the characteristic data, and determining brightness compensation coefficients of each display partition according to the image classification information; and determining the backlight brightness of each display partition according to the characteristic data, the brightness compensation coefficient and a preset formula. The method considers the brightness and detail characteristics of different areas of the whole image, can effectively solve the detail loss phenomenon, and improves the image quality and contrast to the greatest extent while reducing the power consumption.
Description
Technical Field
The present disclosure relates to the field of display technologies, and in particular, to a backlight brightness calculating method, a display device, and a computer readable storage medium.
Background
At present, two common algorithms exist in backlight control of a local dimming system, one is an average value algorithm and the other is a root mean square algorithm, and the two algorithms have the following technical defects: the average value algorithm is adopted to obtain the brightness of the backlight partition, the brightness of the image is obviously reduced, the detail capability of the image is lower, and the distortion phenomenon is serious; the backlight value obtained by the root mean square algorithm can still lead certain areas of the image to not reach corresponding brightness even though the backlight value is subjected to square opening and normalization, so that the display quality of the picture can not be effectively ensured. Therefore, the backlight control algorithm in the related art is still to be optimized.
Disclosure of Invention
The main objective of the present application is to provide a backlight brightness calculation method, a display device and a computer readable storage medium, which aim to optimize a backlight control algorithm in related technology, and avoid the problems of insufficient image detail expressive force and image distortion caused by an average value algorithm and a root mean square algorithm.
In order to achieve the above object, the present application provides a backlight brightness calculating method, including:
acquiring an image signal displayed by a display device, wherein the image signal comprises a plurality of display partitions;
performing quantization processing on the image signals to obtain characteristic data of each display partition;
determining image classification information of each display partition according to the characteristic data, and determining brightness compensation coefficients of each display partition according to the image classification information;
and determining the backlight brightness of each display partition according to the characteristic data, the brightness compensation coefficient and a preset formula.
Optionally, the feature data includes: maximum brightness and area contrast; the step of determining the image classification information of each display partition according to the characteristic data comprises the following steps:
comparing the maximum brightness with a preset brightness threshold value to obtain a brightness comparison result;
comparing the area contrast with a preset contrast threshold value to obtain a contrast comparison result;
and determining the image classification information of each display partition according to the brightness comparison result and the contrast comparison result.
Optionally, the preset luminance threshold includes a first luminance threshold and a second luminance threshold, and the first luminance threshold is smaller than the second luminance threshold; the brightness comparison result comprises: a low luminance partition, a medium luminance partition, and a high luminance partition;
the step of comparing the maximum brightness with a preset brightness threshold value to obtain a brightness comparison result comprises the following steps:
obtaining a brightness comparison result as a low-brightness partition under the condition that the maximum brightness is smaller than a first brightness threshold value;
obtaining a brightness comparison result as a middle brightness partition under the condition that the maximum brightness is not smaller than the first brightness threshold value and is smaller than the second brightness threshold value;
and under the condition that the maximum brightness is not smaller than the second brightness threshold value, obtaining a brightness comparison result as a high brightness partition.
Optionally, the contrast comparison result includes: a low contrast partition and a high contrast partition;
the step of comparing the region contrast with a preset contrast threshold value to obtain a contrast comparison result comprises the following steps:
under the condition that the area contrast is smaller than a preset contrast threshold value, obtaining a contrast comparison result as a low contrast partition;
and under the condition that the area contrast is not smaller than a preset contrast threshold value, obtaining a contrast comparison result as a high-contrast partition.
Optionally, the value of the brightness compensation coefficient increases with an increase in the maximum brightness and an increase in the area contrast.
Optionally, the step of determining the brightness compensation coefficient of each display partition according to the image classification information includes:
reading an image classification information table from a preset register, and inquiring brightness compensation coefficients corresponding to each display partition in the image classification information table according to the image classification information of each display partition.
Optionally, the step of performing quantization processing on the image signal to obtain feature data of each display partition includes:
performing quantization processing on the image signals to obtain color information of sub-pixels in each display partition;
and carrying out coordinate conversion on the color information to obtain color difference information, and extracting characteristic data of each display partition based on the color difference information.
Optionally, the step of determining the backlight brightness of each display partition according to the feature data, the brightness compensation coefficient and a preset formula includes:
acquiring average brightness and maximum brightness of each display partition based on the characteristic data;
substituting the average brightness, the maximum brightness and the brightness compensation coefficient into a preset formula to calculate, and obtaining the backlight brightness of each display partition.
In addition, to achieve the above object, the present application further provides a backlight luminance calculating apparatus, including:
the acquisition module is used for acquiring image signals displayed by the display equipment, wherein the image signals comprise a plurality of display partitions;
the processing module is used for carrying out quantization processing on the image signals to obtain characteristic data of each display partition;
the matching module is used for determining the image classification information of each display partition according to the characteristic data and determining the brightness compensation coefficient of each display partition according to the image classification information;
and the calculation module is used for determining the backlight brightness of each display partition according to the characteristic data, the brightness compensation coefficient and a preset formula.
In addition, to achieve the above object, the present application further provides a display device including: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the backlight brightness calculating method as described above.
In addition, to achieve the above object, the present application further provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the backlight brightness calculating method as described above.
The application provides a backlight brightness calculation method, display equipment and a computer readable storage medium, which overcome the technical defects of a backlight control algorithm in the related technology. In the backlight brightness calculation method, firstly, an image signal displayed by display equipment is acquired, the image signal comprises a plurality of display partitions, and the image signal is quantized to obtain characteristic data of each display partition, so that brightness characteristics of different partitions in the whole image are obtained; determining image classification information of each display partition according to the characteristic data, and determining brightness compensation coefficients of each display partition according to the image classification information, so that proper brightness compensation can be obtained for different partitions; and then determining the backlight brightness of each display partition according to the characteristic data, the brightness compensation coefficient and a preset formula, so that the backlight brightness of each display partition can be effectively and finely determined, and the problems of insufficient detail expressive force and image distortion caused by an average value and root mean square algorithm are avoided.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only a part of the embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a backlight brightness calculating method according to an embodiment of the present application;
FIG. 2 is a detailed flow chart of a part of the steps of step S30 in FIG. 1;
fig. 3 (a) is a luminance information diagram corresponding to an original image signal in the case of performing simulation by using the backlight luminance calculating method provided in the embodiment of the present application;
fig. 3 (b) is a schematic diagram of a backlight output result corresponding to an average algorithm in a case of performing simulation in the backlight brightness calculation method provided in the embodiment of the present application;
fig. 3 (c) is a schematic diagram of a backlight output result corresponding to a root mean square algorithm in a case of performing simulation in the backlight brightness calculation method according to the embodiment of the present application;
fig. 3 (d) is a schematic diagram of a backlight output result when a backlight brightness calculation method provided in an embodiment of the present application performs simulation;
fig. 4 is a schematic structural diagram of a backlight brightness calculating device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a display device according to an embodiment of the present application.
Reference numerals illustrate:
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to one skilled in the art that the embodiments of the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the embodiments of the present application with unnecessary detail.
It should be noted that although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different from that in the flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
It should also be appreciated that references to "one embodiment" or "some embodiments" or the like described in the specification of embodiments of the present application mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
Local Dimming (Local Dimming) control has become an excellent technology of a Mini LED backlight display system, and is widely favored by consumers due to the advantages of low power consumption and high contrast ratio, in a Local Dimming algorithm, the determination of backlight brightness is one of important links of liquid crystal display, and in most display devices, the power consumption of a backlight source accounts for about 70% of the whole power consumption. Therefore, most of the research directions of the power consumption of the display are focused on backlight control, and the core of the backlight adjustment is that the content of an input image needs to be analyzed to determine a proper backlight value, the variety of the image is various, and the obtained backlight values are different when the characteristic directions are different. Therefore, the method has important significance in selecting proper backlight algorithms for different input image types.
Currently, there are two common methods in the backlight control of the Local Dimming system, one is an Average algorithm (AM, as shown in the formula (1),l (i, j) represents the luminance value of the pixel at i, j, m×n represents the corresponding number of pixels in the dimming small partition, and i, j represents the row-column coordinates of the sub-pixels in the partition. BLave is the average gray value of the subareas), namely, the gray values of pixels in the areas are accumulated, and then the average value is taken as the backlight brightness of the current area after dimming; the other is the root mean square algorithm (Square Root Method, SRM, as shown in equation (2),) The root mean square method is based on the average method, and the root mean square is obtained as backlight brightness after normalization, so that the problem of image distortion caused by too low brightness obtained by the average method can be solved.
The two algorithms have the following technical defects: the average value algorithm is adopted to obtain the brightness of the backlight partition, the brightness of the image is obviously reduced, the detail capability of the image is lower, and the distortion phenomenon is serious; the backlight value obtained by the root mean square algorithm can still lead certain areas of the image to not reach corresponding brightness even though the backlight value is subjected to square opening and normalization, so that the display quality of the picture can not be effectively ensured. Therefore, the backlight control algorithm in the related art is still to be optimized.
Based on this, the embodiment of the application provides a backlight brightness calculation method, a display device and a computer readable storage medium, in the backlight brightness calculation method, firstly, an image signal displayed by the display device is obtained, the image signal comprises a plurality of display partitions, and the image signal is quantized to obtain characteristic data of each display partition, so that brightness characteristics of different partitions in the whole image are obtained; determining image classification information of each display partition according to the characteristic data, and determining brightness compensation coefficients of each display partition according to the image classification information, so that proper brightness compensation can be obtained for different partitions; and then determining the backlight brightness of each display partition according to the characteristic data, the brightness compensation coefficient and a preset formula, so that the backlight brightness of each display partition can be effectively and finely determined, and the problems of insufficient detail expressive force and image distortion caused by an average value and root mean square algorithm are avoided.
The backlight brightness calculating method, the display device and the computer readable storage medium provided in the embodiments of the present application are specifically described by the following embodiments, and the backlight brightness calculating method in the embodiments of the present application is first described.
Referring to fig. 1, fig. 1 is a schematic flow chart of a backlight brightness calculating method according to an embodiment of the present application, where the backlight brightness calculating method may be applied to a display device, as shown in fig. 1, and the backlight brightness calculating method according to the embodiment includes steps S10 to S30.
Step S10, obtaining an image signal displayed by display equipment, wherein the image signal comprises a plurality of display partitions;
it should be noted that, in this embodiment, the execution body is a display device, and first, the calculation of the backlight brightness is a process of processing an image signal, so it is necessary to perform an operation associated with the calculation of the backlight brightness after receiving the image signal input to the display device from the signal source, and the image signal divides the entire image into a plurality of partitions according to the resolution of the display device after being input to the display device.
As an example, in the case where the display device is an 8-bit display, the resolution of the image signal is 1920×1080, including 30×60 (1800) partitions.
Step S20, carrying out quantization processing on the image signals to obtain characteristic data of each display partition;
it should be noted that, after the image signal is obtained, since one image includes a plurality of pixel partitions, and the display effects of different pixel partitions need to be analyzed on the content of the input image, and then a suitable backlight value is determined, so if the same backlight control is performed on the whole image, the effect is obviously unsatisfactory, so in this embodiment, it is considered that the brightness and detail characteristics of different partitions in the image can be classified, and then the different partitions are respectively backlight-controlled according to the classification, so as to achieve a better adjustment effect, and in order to obtain the brightness and detail characteristics of different partitions, the image signal needs to be quantized first.
In some possible embodiments, the step of performing quantization processing on the image signal in step S20 to obtain feature data of each display partition may include:
s21, carrying out quantization processing on the image signals to obtain color information of sub-pixels in each display area;
and S22, carrying out coordinate conversion on the color information to obtain color difference information, and extracting characteristic data of each display partition based on the color difference information.
As an example, in this embodiment, in order to facilitate quantization processing of an image signal, RGB information (i.e., color information) of sub-pixels in each display partition is first obtained, and then the RGB information in each display partition is converted into YUV information (i.e., color difference information) through coordinates, where Y represents luminance of the image information, U, V represents chromaticity, and a coordinate conversion formula is as follows:
。
step S30, determining image classification information of each display partition according to the characteristic data, and determining brightness compensation coefficients of each display partition according to the image classification information;
in this embodiment, after the feature data of each display partition is obtained, the most suitable brightness compensation coefficient can be matched for the display partition according to the different feature data of the display partition, so as to achieve the purpose of finely adjusting the backlight brightness of each display partition.
As an example, in this embodiment, the image classification information table of each display partition may be stored in advance in the ROM register, after the image signal is obtained and the image signal is quantized to obtain the feature data of each display partition, the image classification of each display partition may be obtained directly and quickly by a table look-up method, so as to determine the adapted backlight control algorithm.
Referring to fig. 2, in some possible embodiments, the feature data includes: maximum brightness and area contrast; the step of determining the image classification information of each display section according to the feature data in the step S30 may include:
step S311, comparing the maximum brightness with a preset brightness threshold value to obtain a brightness comparison result;
step S312, comparing the area contrast with a preset contrast threshold value to obtain a contrast comparison result;
step S313, determining image classification information of each display partition according to the brightness comparison result and the contrast comparison result.
In some possible embodiments, the step of determining the brightness compensation coefficient of each display partition according to the image classification information in the step S30 may include:
step S321, an image classification information table is read from a preset register, and brightness compensation coefficients corresponding to the display partitions are inquired in the image classification information table according to the image classification information of the display partitions.
In this embodiment, the preset luminance threshold includes a first luminance threshold and a second luminance threshold, where the first luminance threshold is smaller than the second luminance threshold; the brightness comparison result comprises: the step S311 may include: obtaining a brightness comparison result as a low-brightness partition under the condition that the maximum brightness is smaller than a first brightness threshold value; obtaining a brightness comparison result as a middle brightness partition under the condition that the maximum brightness is not smaller than the first brightness threshold value and is smaller than the second brightness threshold value; and under the condition that the maximum brightness is not smaller than the second brightness threshold value, obtaining a brightness comparison result as a high brightness partition. The contrast ratio comparison result includes: a low contrast partition and a high contrast partition; the step S312 may include: under the condition that the area contrast is smaller than a preset contrast threshold value, obtaining a contrast comparison result as a low contrast partition; and under the condition that the area contrast is not smaller than a preset contrast threshold value, obtaining a contrast comparison result as a high-contrast partition.
As an example, in the present embodiment, a table containing a preset luminance threshold value, a preset contrast threshold value, image classification information, and a luminance compensation coefficient is shown in table 1.
TABLE 1 image classification case
As can be seen from table 1, the preset luminance threshold values in the present embodiment include 60 (i.e., the first luminance threshold value) and 140 (i.e., the second luminance threshold value), when the maximum luminance Y of a certain partition is less than 60, the partition is considered to belong to a low luminance partition, when the maximum luminance Y of a certain partition is not less than 60 and less than 140, the partition is considered to belong to a medium luminance partition, and when the maximum luminance Y of a certain partition is not less than 140, the partition is considered to belong to a high luminance partition; as can be seen from the combination of the preset contrast threshold 300 in this embodiment, when the area contrast c.r of a certain partition is less than 300, the partition is considered to belong to a low-contrast partition, and when the area contrast c.r of a certain partition is not less than 300, the partition is considered to belong to a high-contrast partition; the value of the brightness compensation coefficient k is associated with both brightness and contrast, and is more affected by brightness, e.g., the k value for the low brightness high contrast partition is 0.3, and the k value for the medium brightness low contrast partition is 0.35.
In this embodiment, the value of the luminance compensation coefficient increases with an increase in the maximum luminance and an increase in the area contrast.
And S40, determining the backlight brightness of each display partition according to the characteristic data, the brightness compensation coefficient and a preset formula.
After determining the brightness compensation coefficient corresponding to each display partition, the relevant parameters of each display partition related to the feature data may be combined to calculate, so as to obtain the backlight brightness of each display partition.
In some possible embodiments, the step S40 may include:
step S41, obtaining average brightness and maximum brightness of each display partition based on the characteristic data;
and S42, substituting the average brightness, the maximum brightness and the brightness compensation coefficient into a preset formula for calculation to obtain the backlight brightness of each display partition.
In this embodiment, the preset formula is as follows:
；
wherein,i.e. backlight brightness of the partition +.>For average luminance, k is the luminance compensation coefficient, +.>Is the maximum brightness.
It will be appreciated that after determining the value of the luminance compensation coefficient k of a certain partition, the k value and the average luminance and the maximum luminance of the partition may be substituted into the above preset formula to calculate the backlight luminance of the partition.
As an example, the above-mentioned backlight brightness calculation method is compared with an average algorithm and a root mean square algorithm through a simulation experiment in this embodiment, and referring to fig. 3 (a) to 3 (d), fig. 3 (a) is a brightness information diagram corresponding to an original image signal, fig. 3 (b) is a schematic diagram of a backlight output result corresponding to the average algorithm, fig. 3 (c) is a schematic diagram of a backlight output result corresponding to the root mean square algorithm, and fig. 3 (d) is a schematic diagram of a backlight output result determined according to an image region feature by using the backlight brightness calculation method provided in this embodiment.
The embodiment provides a backlight brightness calculation method, which classifies the brightness and detail characteristics of an input image, and dynamically adjusts the backlight brightness according to detail content in a partition. According to the embodiment, the brightness and detail characteristics of different areas of the whole image are considered, the detail loss phenomenon can be effectively solved, and the image quality and the contrast are improved to the greatest extent while the power consumption is reduced.
In addition, an embodiment of the present application further provides a backlight luminance calculating device, referring to fig. 4, fig. 4 is a schematic structural diagram of the backlight luminance calculating device provided in an embodiment of the present application, as shown in fig. 4, in this embodiment, the backlight luminance calculating device includes: the device comprises an acquisition module 100, a processing module 200, a matching module 300 and a calculation module 300.
The acquiring module 100 is configured to acquire an image signal, where the image signal includes a plurality of partitions;
the processing module 200 is configured to perform quantization processing on the image signal to obtain feature data of each display partition;
the matching module 300 is configured to determine image classification information of each display partition according to the feature data, and determine a brightness compensation coefficient of each display partition according to the image classification information;
the calculating module 400 is configured to determine backlight brightness of each display partition according to the feature data, the brightness compensation coefficient and a preset formula.
In some possible embodiments, the feature data includes: maximum brightness and area contrast; the matching module 300 is further configured to compare the maximum brightness with a preset brightness threshold value to obtain a brightness comparison result; comparing the area contrast with a preset contrast threshold value to obtain a contrast comparison result; and determining the image classification information of each display partition according to the brightness comparison result and the contrast comparison result.
In some possible embodiments, the value of the brightness compensation coefficient increases with increasing maximum brightness and increasing area contrast.
In some possible embodiments, the matching module 300 is further configured to read an image classification information table from a preset register, and query the image classification information table for brightness compensation coefficients corresponding to each display partition according to the image classification information of each display partition.
In some possible embodiments, the processing module 200 is further configured to perform quantization processing on the image signal to obtain color information of the sub-pixels in each display area; and carrying out coordinate conversion on the color information to obtain color difference information, and extracting characteristic data of each display partition based on the color difference information.
In some possible embodiments, the computing module 400 is further configured to obtain an average luminance and a maximum luminance of each of the display partitions based on the feature data; substituting the average brightness, the maximum brightness and the brightness compensation coefficient into a preset formula to calculate, and obtaining the backlight brightness of each display partition.
The backlight luminance calculating device provided in this embodiment belongs to the same inventive concept as the backlight luminance calculating method provided in the above embodiment, and technical details not described in detail in this embodiment can be seen in any of the above embodiments, and this embodiment has the same advantageous effects as those of performing the backlight luminance calculating method.
In addition, the embodiment of the application also provides a display device, the backlight brightness calculating method applied to the display device can be executed by a backlight brightness calculating device, and the backlight brightness calculating device can be realized in a software and/or hardware mode and is integrated in the display device. The display device can be any product or component with display function such as a mobile phone, a tablet computer, a television, a display, a notebook computer, a digital photo frame, a navigator and the like.
As an example, the display panel In the present embodiment may be a TN (Twisted Nematic) display panel, an IPS (In-Plane Switching) display panel, a VA (Vertical Alignment) display panel, an MVA (Multi-Domain Vertical Alignment) display panel, or of course, may be other types of display panels, such as an OLED (organic light-Emitting Diode) display panel.
Referring to fig. 5, fig. 5 is a schematic hardware structure of a display device according to an embodiment of the present application. As shown in fig. 5, the display device may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is not limiting of the display device and may include more or fewer components than shown, or may combine certain components, or may be arranged in different components.
As shown in fig. 5, an operating system, a data storage module, a network communication module, a user interface module, and a computer program may be included in the memory 1005 as one type of storage medium.
In the display device shown in fig. 5, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with a user; the processor 1001, the memory 1005 in the present embodiment may be provided in a display device that calls a computer program stored in the memory 1005 through the processor 1001 and performs the following operations:
acquiring an image signal, the image signal comprising a plurality of partitions;
performing quantization processing on the image signals to obtain characteristic data of each display partition;
determining image classification information of each display partition according to the characteristic data, and determining brightness compensation coefficients of each display partition according to the image classification information;
and determining the backlight brightness of each display partition according to the characteristic data, the brightness compensation coefficient and a preset formula.
Further, the feature data includes: maximum brightness and area contrast; the processor 1001 may call a computer program stored in the memory 1005, and also perform the following operations:
comparing the maximum brightness with a preset brightness threshold value to obtain a brightness comparison result;
comparing the area contrast with a preset contrast threshold value to obtain a contrast comparison result;
and determining the image classification information of each display partition according to the brightness comparison result and the contrast comparison result.
Further, the preset brightness threshold comprises a first brightness threshold and a second brightness threshold, and the first brightness threshold is smaller than the second brightness threshold; the brightness comparison result comprises: a low luminance partition, a medium luminance partition, and a high luminance partition; the processor 1001 may call a computer program stored in the memory 1005, and also perform the following operations:
obtaining a brightness comparison result as a low-brightness partition under the condition that the maximum brightness is smaller than a first brightness threshold value;
obtaining a brightness comparison result as a middle brightness partition under the condition that the maximum brightness is not smaller than the first brightness threshold value and is smaller than the second brightness threshold value;
and under the condition that the maximum brightness is not smaller than the second brightness threshold value, obtaining a brightness comparison result as a high brightness partition.
Further, the contrast comparison result includes: a low contrast partition and a high contrast partition; the processor 1001 may call a computer program stored in the memory 1005, and also perform the following operations:
under the condition that the area contrast is smaller than a preset contrast threshold value, obtaining a contrast comparison result as a low contrast partition;
and under the condition that the area contrast is not smaller than a preset contrast threshold value, obtaining a contrast comparison result as a high-contrast partition.
Further, the value of the luminance compensation coefficient increases with an increase in the maximum luminance and an increase in the area contrast.
Further, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
reading an image classification information table from a preset register, and inquiring brightness compensation coefficients corresponding to each display partition in the image classification information table according to the image classification information of each display partition.
Further, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
performing quantization processing on the image signals to obtain color information of sub-pixels in each display partition;
and carrying out coordinate conversion on the color information to obtain color difference information, and extracting characteristic data of each display partition based on the color difference information.
Further, the processor 1001 may call a computer program stored in the memory 1005, and further perform the following operations:
acquiring average brightness and maximum brightness of each display partition based on the characteristic data;
substituting the average brightness, the maximum brightness and the brightness compensation coefficient into a preset formula to calculate, and obtaining the backlight brightness of each display partition.
The display device according to the present embodiment and the backlight luminance calculating method according to the above embodiment applied to the display device belong to the same inventive concept, and technical details not described in detail in the present embodiment can be seen in any of the above embodiments, and the present embodiment has the same advantages as those of performing the backlight luminance calculating method.
In addition, the embodiment of the application also provides a computer readable storage medium, which is applied to a computer, and the computer readable storage medium can be a nonvolatile computer readable storage medium, and a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the method for calculating the backlight brightness of any embodiment is realized.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
While the preferred embodiments of the present application have been described in detail, the embodiments are not limited to the above-described embodiments, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the embodiments, and these equivalent modifications and substitutions are intended to be included in the scope of the embodiments of the present application as defined in the appended claims.
Claims (8)
1. A backlight brightness calculating method applied to a display device, the backlight brightness calculating method comprising:
acquiring an image signal displayed by a display device, wherein the image signal comprises a plurality of display partitions;
performing quantization processing on the image signals to obtain characteristic data of each display partition;
determining image classification information of each display partition according to the characteristic data, reading an image classification information table from a preset register, and inquiring a brightness compensation coefficient k corresponding to each display partition in the image classification information table according to the image classification information of each display partition;
obtaining the average brightness of each display partition based on the characteristic dataAnd maximum brightness->；
The average brightness is setSaid maximum brightness->And substituting the brightness compensation coefficient k into a preset formula to calculate so as to obtain the backlight brightness of each display partition>Wherein, the preset formula is as follows:
。
2. the backlight brightness calculating method according to claim 1, wherein the characteristic data includes: maximum brightness and area contrast;
the step of determining the image classification information of each display partition according to the characteristic data comprises the following steps:
comparing the maximum brightness with a preset brightness threshold value to obtain a brightness comparison result;
comparing the area contrast with a preset contrast threshold value to obtain a contrast comparison result;
and determining the image classification information of each display partition according to the brightness comparison result and the contrast comparison result.
3. The backlight luminance calculating method according to claim 2, wherein the preset luminance threshold value includes a first luminance threshold value and a second luminance threshold value, the first luminance threshold value being smaller than the second luminance threshold value; the brightness comparison result comprises: a low luminance partition, a medium luminance partition, and a high luminance partition;
the step of comparing the maximum brightness with a preset brightness threshold value to obtain a brightness comparison result comprises the following steps:
obtaining a brightness comparison result as a low-brightness partition under the condition that the maximum brightness is smaller than a first brightness threshold value;
obtaining a brightness comparison result as a middle brightness partition under the condition that the maximum brightness is not smaller than the first brightness threshold value and is smaller than the second brightness threshold value;
and under the condition that the maximum brightness is not smaller than the second brightness threshold value, obtaining a brightness comparison result as a high brightness partition.
4. The backlight brightness calculating method according to claim 2, wherein the contrast ratio comparison result includes: a low contrast partition and a high contrast partition;
the step of comparing the region contrast with a preset contrast threshold value to obtain a contrast comparison result comprises the following steps:
under the condition that the area contrast is smaller than a preset contrast threshold value, obtaining a contrast comparison result as a low contrast partition;
and under the condition that the area contrast is not smaller than a preset contrast threshold value, obtaining a contrast comparison result as a high-contrast partition.
5. The backlight luminance calculating method according to claim 2, wherein the value of the luminance compensation coefficient k increases with an increase in the maximum luminance and an increase in the area contrast.
6. The backlight luminance calculating method according to any one of claims 1 to 5, wherein the step of subjecting the image signal to quantization processing to obtain the feature data of each of the display sections comprises:
performing quantization processing on the image signals to obtain color information of sub-pixels in each display partition;
and carrying out coordinate conversion on the color information to obtain color difference information, and extracting characteristic data of each display partition based on the color difference information.
7. A display device, the display device comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor, performs the steps of the backlight brightness calculation method as claimed in any one of claims 1 to 6.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the backlight brightness calculation method according to any one of claims 1 to 6.
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