CN107767327B - Image rendering method and device, computing equipment and display equipment - Google Patents
Image rendering method and device, computing equipment and display equipment Download PDFInfo
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Abstract
The application discloses an image rendering method and device, computing equipment and display equipment, which are used for improving image rendering precision. The application provides an image rendering method, which comprises the following steps: converting image data to be displayed into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness; carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N; rendering the brightness information of the M discrete points to obtain rendered brightness information; and converting the rendered brightness information into corresponding gray scale information according to the corresponding relation between the gray scale and the brightness.
Description
Technical Field
The present application relates to the field of image technologies, and in particular, to an image rendering method and apparatus, a computing device, and a display device.
Background
With the continuous development of science and technology, more and more electronic devices with display functions are widely applied to daily life and work of people, bring great convenience to the daily life and work of people, and become an indispensable important tool for people at present.
The display displays image pixels through a display panel, and in an organic light emitting display panel, resolution improvement is limited due to an evaporation process and pixel life matching. In order to improve the resolution, an image rendering method is generally adopted to drive panel pixels of a display panel to display image pixels of image information to be displayed. The image information after rendering calculation is affected by the calculation accuracy.
The currently mainstream image coding method is an 8-bit image coding method, namely an 8-bit image coding method, in which each pixel is represented by 8 bits, but the accuracy of image rendering realized by the 8-bit image coding method is low.
Disclosure of Invention
The embodiment of the application provides an image rendering method and device, computing equipment and display equipment, and aims to improve image rendering precision.
An image rendering method provided by an embodiment of the present application includes:
converting image data to be displayed into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness;
carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N;
rendering the brightness information of the M discrete points to obtain rendered brightness information;
and converting the rendered brightness information into corresponding gray scale information according to the corresponding relation between the gray scale and the brightness.
According to the image rendering method provided by the embodiment of the application, image data to be displayed is converted into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness; carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N; rendering the brightness information of the M discrete points to obtain rendered brightness information; according to the corresponding relation between the gray scale and the brightness, the rendered brightness information is converted into corresponding gray scale information, so that the image rendering precision is improved, the rendering display effect is closer to the real situation, the picture transition is more uniform, and the display effect is improved.
Optionally, the method further comprises:
and coding and outputting the gray scale information according to the coding mode of the image data to be displayed.
Optionally, the encoding mode of the image data to be displayed is an 8-bit encoding mode.
Optionally, N is 256 and M is 1024.
Optionally, the rendered luminance information is reduced by one third compared to the luminance information of the M discrete points.
Optionally, the interpolation calculation is a linear interpolation calculation.
Optionally, the rendering calculation is a sub-pixel rendering calculation.
Correspondingly to the method, an image rendering device provided by the embodiment of the application includes:
the first unit is used for converting image data to be displayed into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness;
the second unit is used for carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N;
the third unit is used for rendering and calculating the brightness information of the M discrete points to obtain rendered brightness information;
and the fourth unit is used for converting the rendered brightness information into corresponding gray scale information according to the corresponding relation between the gray scale and the brightness.
Optionally, the fourth unit is further configured to:
and coding and outputting the gray scale information according to the coding mode of the image data to be displayed.
Optionally, the encoding mode of the image data to be displayed is an 8-bit encoding mode.
Optionally, N is 256 and M is 1024.
Optionally, the rendered luminance information is reduced by one third compared to the luminance information of the M discrete points.
Optionally, the interpolation calculation is a linear interpolation calculation.
Optionally, the rendering calculation is a sub-pixel rendering calculation
An embodiment of the present application provides a computing device, including:
a memory for storing program instructions;
a processor for calling the program instructions stored in the memory and executing according to the obtained program:
converting image data to be displayed into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness;
carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N;
rendering the brightness information of the M discrete points to obtain rendered brightness information;
and converting the rendered brightness information into corresponding gray scale information according to the corresponding relation between the gray scale and the brightness.
The display device provided by the embodiment of the application comprises any one of the image rendering devices or the computing device provided by the embodiment of the application.
Another embodiment of the present application provides a computer storage medium having stored thereon computer-executable instructions for causing a computer to perform any one of the methods described above.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of an image rendering method according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram illustrating a principle of a linear interpolation operation according to an embodiment of the present disclosure;
FIG. 3 is a schematic view of a gamma curve according to an embodiment of the present disclosure;
FIG. 4 is a schematic view of another gamma curve provided in the present embodiment;
fig. 5 is a schematic structural diagram of an image rendering apparatus according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a computing device according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides an image rendering method and device, computing equipment and display equipment, and aims to improve image rendering precision.
Referring to fig. 1, an image rendering method provided in an embodiment of the present application includes:
s101, converting image data to be displayed into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness;
wherein N is an integer greater than or equal to 1.
For example, N equals 256.
The corresponding relation between the gray scale and the brightness is preset. For example, the correspondence between gray levels and brightness is shown as follows:
Lum＝Lmax*(r/Gray)^γ
wherein the content of the first and second substances,
r represents a gray scale value;
lum represents the brightness corresponding to the gray level r;
lmax represents the brightness corresponding to the maximum gray scale;
gray represents the maximum Gray level;
γ represents a gamma value, and is a preset constant, for example, a value of 2, 2.2, etc.
S102, carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N;
wherein M is an integer greater than 1.
For example, M equals 1024.
S103, performing rendering calculation on the brightness information of the M discrete points to obtain rendered brightness information;
and S104, converting the rendered brightness information into corresponding gray scale information according to the corresponding relation between the gray scale and the brightness.
The correspondence between the gray scale and the brightness in step S104 may be the same as or different from the correspondence between the gray scale and the brightness in step S101.
According to the image rendering method provided by the embodiment of the application, image data to be displayed is converted into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness; carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N; rendering the brightness information of the M discrete points to obtain rendered brightness information; according to the corresponding relation between the gray scale and the brightness, the rendered brightness information is converted into corresponding gray scale information, so that the image rendering precision is improved, the rendering display effect is closer to the real situation, the picture transition is more uniform, and the display effect is improved. For example, the luminance range is 0-350nit, and N-256M-1024, then 0-350nit is divided into only 256 points according to the pixel rendering method in the prior art, whereas 0-350nit can be divided into 1024 points in the embodiment of the present application, so that the rendering calculation is more accurate.
Optionally, the image rendering method provided in the embodiment of the present application further includes:
and coding and outputting the gray scale information according to the coding mode of the image data to be displayed. If the gray scale information is output to the panel for display, the gray scale information needs to be converted and coded into data voltage so as to facilitate the display of the display panel.
Optionally, the encoding mode of the image data to be displayed is an 8-bit encoding mode. The 8-bit coding mode is universal, the data volume is small, and the occupied resources are small.
Optionally, the rendered luminance information is reduced by one third compared to the luminance information of the M discrete points. Therefore, the calculation data amount can be reduced, and the calculation efficiency is improved.
Optionally, the interpolation calculation is a linear interpolation calculation. The linear interpolation data volume is small, the calculation is simple, the occupied IC resource is less, and the realization is easy.
Wherein said linear interpolation calculation, for example, with reference to fig. 2, adds X between X0 and X1, X corresponding to Y, X0And X1Respectively correspond to Y0And Y1. Suppose X, X0And X1Each representing a gray level, correspondingly, Y, Y0And Y1Each representing luminance, these parameters having the following relationship between them:
X0and X1Indicating the original value and X the newly inserted value.
Optionally, the rendering calculation is a sub-pixel rendering calculation.
Among them, the Sub-Pixel Rendering (SPR) technique can increase the sensory resolution without changing the Sub-Pixel density or decrease the Sub-Pixel density without changing the sensory resolution. The sub-pixel rendering calculation includes, for example:
acquiring image data from the first pattern; and mapping the first pattern to the second pattern; each pixel of the first pattern corresponds to one virtual pixel of the second pattern, two adjacent virtual pixels of the second pattern share one or more sub-pixels, the data processing module compensates the image data of the shared sub-pixels of the second pattern through a compensation coefficient, and the compensation coefficient is set or set to be constant according to the image data of the two adjacent pixels of the first pattern corresponding to the shared sub-pixels of the second pattern.
For example, taking Full High Definition (FHD) as an example, pixel data is 1080 × 1920 × 3 data, and these data are all calculated by the rendering module (SPR IP), and the resultant data becomes 1080 × 1920 × 2. Typically one-third less pixel data, although other amounts may be reduced. The luminance information after passing through the SPR IP is changed. Because there are other operation modules inside the IC, such as a display unevenness removal (demura) module after the SPR IP, and then the operation is performed, the final data is sent to the screen for lighting. The luminance information is finally expressed in voltage, so that the luminance information can be converted into voltage corresponding to gray scale according to the luminance.
Fig. 3 is a schematic diagram of a gamma curve obtained by inputting 8-bit data, that is, the curve in the diagram shows the correspondence between the gray scale and the brightness of 8-bit pixel data. As shown in fig. 4, 1 gray scale corresponds to 4 gray scales, 2 gray scales corresponds to 8 gray scales, and so on, and then linear interpolation calculation is performed between each gray scale to obtain a new gamma curve of fig. 4. Then, rendering calculation is performed on the luminances L5, L6, L7, and L8 (fig. 4 takes 4 gray levels to 8 gray levels as an example, and 8-bit encoding corresponds to 1 gray level and 2 gray levels) corresponding to each gray level after linear interpolation.
Compared with the original 8-bit coding, the brightness corresponding to the data is divided into 1024 brightness levels according to a gamma curve, and each brightness level is subjected to rendering calculation, so that the rendering result is more accurate. The disparity between rendering and real is less. For example, if the real gray scale of the R pixel is 200 and the real gray scale of the G pixel is 50, then if the 8-bit encoding method in the prior art is adopted for rendering, the obtained gray scale of the R pixel is 161 and the real gray scale of the G pixel is 40, but the method provided by the embodiment of the present application is adopted for rendering, the obtained gray scale of the R pixel is 163 and the real gray scale of the G pixel is 42, so that the difference between the image obtained by adopting the rendering method of the embodiment of the present application and the real image is smaller.
Correspondingly to the method, referring to fig. 5, an image rendering apparatus provided in an embodiment of the present application includes:
the display device comprises a first unit 1, a second unit and a display unit, wherein the first unit 1 is used for converting image data to be displayed into N discrete points for representing the corresponding relation between gray scale and brightness according to the corresponding relation between the gray scale and the brightness;
a second unit 2, configured to perform interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N;
the third unit 3 is configured to perform rendering calculation on the luminance information of the M discrete points to obtain rendered luminance information;
and the fourth unit 4 is configured to convert the rendered luminance information into corresponding grayscale information according to a correspondence between a grayscale and luminance.
Optionally, the fourth unit is further configured to:
and coding and outputting the gray scale information according to the coding mode of the image data to be displayed.
Optionally, the encoding mode of the image data to be displayed is an 8-bit encoding mode.
Optionally, N is 256 and M is 1024.
Optionally, the rendered luminance information is reduced by one third compared to the luminance information of the M discrete points.
Optionally, the interpolation calculation is a linear interpolation calculation.
Optionally, the rendering calculation is a sub-pixel rendering calculation
Referring to fig. 6, an embodiment of the present application provides a computing device, including:
a memory 21 for storing program instructions;
a processor 22 for calling the program instructions stored in the memory and executing, according to the obtained program:
converting image data to be displayed into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness;
carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N;
rendering the brightness information of the M discrete points to obtain rendered brightness information;
and converting the rendered brightness information into corresponding gray scale information according to the corresponding relation between the gray scale and the brightness.
The computing device provided in the embodiment of the present application may specifically be a desktop computer, a portable computer, a smart phone, a tablet computer, a Personal Digital Assistant (PDA), and the like. The computing device may include a Central Processing Unit (CPU), memory, input/output devices, etc., the input devices may include a keyboard, mouse, touch screen, etc., and the output devices may include a Display device, such as a Liquid Crystal Display (LCD), a Cathode Ray Tube (CRT), etc.
The memory may include Read Only Memory (ROM) and Random Access Memory (RAM), and provides the processor with program instructions and data stored in the memory. In the embodiment of the present application, the memory may be configured to store a program of the image rendering method provided in the embodiment of the present application.
The processor is used for executing the flow of the image rendering method provided by the embodiment of the application according to the obtained program instructions by calling the program instructions stored in the memory.
The display device provided by the embodiment of the application comprises any one of the image rendering devices or the computing device provided by the embodiment of the application.
Another embodiment of the present application provides a computer storage medium having stored thereon computer-executable instructions for causing a computer to perform any one of the methods described above.
The computer storage media may be any available media or data storage device that can be accessed by a computer, including, but not limited to, magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND FLASH), Solid State Disks (SSDs)), etc.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (14)
1. An image rendering method, comprising:
converting image data to be displayed into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness;
carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N;
rendering the brightness information of the M discrete points to obtain rendered brightness information;
converting the rendered brightness information into corresponding gray scale information according to the corresponding relation between the gray scale and the brightness;
and coding and outputting the gray scale information according to the coding mode of the image data to be displayed.
2. The method according to claim 1, wherein the image data to be displayed is encoded in 8-bit format.
3. The method of claim 1, wherein N is 256 and M is 1024.
4. The method of claim 1, wherein the rendered luminance information is reduced by one-third compared to the luminance information of the M discrete points.
5. The method of claim 1, wherein the interpolation is a linear interpolation.
6. The method of claim 1, wherein the rendering computations are sub-pixel rendering computations.
7. An image rendering apparatus, comprising:
the first unit is used for converting image data to be displayed into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness;
the second unit is used for carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N;
the third unit is used for rendering and calculating the brightness information of the M discrete points to obtain rendered brightness information;
the fourth unit is used for converting the rendered brightness information into corresponding gray scale information according to the corresponding relation between the gray scale and the brightness;
the fourth unit is further configured to:
and coding and outputting the gray scale information according to the coding mode of the image data to be displayed.
8. The apparatus according to claim 7, wherein the image data to be displayed is encoded in 8-bit format.
9. The apparatus of claim 7, wherein N is 256 and M is 1024.
10. The apparatus of claim 7, wherein the rendered luminance information is reduced by one-third compared to the luminance information of the M discrete points.
11. The apparatus of claim 7, wherein the interpolation is a linear interpolation.
12. The apparatus of claim 7, wherein the rendering calculation is a sub-pixel rendering calculation.
13. A computing device, comprising:
a memory for storing program instructions;
a processor for calling the program instructions stored in the memory and executing according to the obtained program:
converting image data to be displayed into N discrete points for representing the corresponding relation between the gray scale and the brightness according to the corresponding relation between the gray scale and the brightness;
carrying out interpolation calculation on the N discrete points to obtain M discrete points; wherein M is greater than N;
rendering the brightness information of the M discrete points to obtain rendered brightness information;
and converting the rendered brightness information into corresponding gray scale information according to the corresponding relation between the gray scale and the brightness.
14. A display device comprising the apparatus of any one of claims 7 to 12.
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