CN107404624B - Method and device for optimizing HDR signal processing and computer readable storage medium - Google Patents
Method and device for optimizing HDR signal processing and computer readable storage medium Download PDFInfo
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- CN107404624B CN107404624B CN201710563819.2A CN201710563819A CN107404624B CN 107404624 B CN107404624 B CN 107404624B CN 201710563819 A CN201710563819 A CN 201710563819A CN 107404624 B CN107404624 B CN 107404624B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/44—Receiver circuitry for the reception of television signals according to analogue transmission standards
- H04N5/57—Control of contrast or brightness
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/10—Intensity circuits
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
Abstract
The invention discloses an optimization method for HDR signal processing, which comprises the following steps: acquiring an HDR signal to be processed; inputting the HDR signal to be processed into a core board, and performing brightness processing according to an HDR brightness curve; and outputting the HDR signal after brightness processing to an application layer through a TCON board. The invention also discloses an optimization device and a computer readable storage medium for HDR signal processing. The invention reduces the processing steps of the HDR signal by changing the function parameters in the processing step of the HDR signal, reduces the signal loss condition of the HDR signal in the processing process and avoids the beneficial effect of distortion of the HDR signal after processing.
Description
Technical Field
The present invention relates to the field of HDR signal processing optimization, and in particular, to an HDR signal processing optimization method, apparatus, and computer-readable storage medium.
Background
In modern society, HDR signals are widely applied to the technical fields of image pickup, image playing, photographing, image display and the like, and when corresponding HDR signal contents are displayed corresponding to different terminals, the HDR signals need to be processed to meet application requirements of the corresponding terminals, but because the HDR signal processing in the prior art is particularly applied to the HDR signal processing at a television terminal, processing steps are too long, signal loss is easily caused due to various processing steps in a processing process, a distortion phenomenon exists in the processed image, and a HDR signal processing mode with simple steps is urgently needed to solve the problem of improving the loss of DHR signals.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an optimization method for HDR signal processing, and aims to solve the technical problems of signal loss and signal file damage caused by excessive and complex processing steps in the HDR signal processing process.
To achieve the above object, the present invention provides an HDR signal processing optimization method, including:
the method for optimizing HDR signal processing comprises the following steps:
acquiring an HDR signal to be processed;
inputting the HDR signal to be processed into a core board, and performing brightness processing according to an HDR brightness curve;
and outputting the HDR signal after brightness processing to an application layer through a TCON board.
Preferably, after the step of performing luminance processing according to the HDR luminance curve, the method further includes:
extracting gamma curve function parameters of the HDR signal to be processed;
and when the gamma curve function parameter is 1, outputting the HDR signal after brightness processing to an application layer through TCON.
Preferably, after the step of extracting the gamma curve function parameter of the HDR signal to be processed, the method further includes:
when the gamma curve function parameter is not 1, processing the HDR signal after brightness processing according to the gamma curve function parameter;
the step of outputting the HDR signal after brightness processing to an application layer through a TCON board comprises the following steps:
and sending the processed HDR signal to a TCON board for gamma curve processing, and outputting the processed HDR signal to an application layer.
Preferably, the method further comprises:
and constructing a signal processing format, and recording function parameters based on the signal processing format, wherein the function parameters comprise function parameters of a gamma curve of the core board and function parameters of a gamma curve in the TCON board.
Preferably, after the step of outputting the processed HDR signal to the application layer via the TCON, the method further includes:
outputting prompt information whether the processing result of the HDR signal meets the processing requirement, and receiving a re-processing request triggered based on the prompt information;
and based on the reprocessing request, executing a step of extracting gamma curve function parameters of the HDR signal to be processed so as to process the HDR signal.
In order to achieve the above object, the present invention provides an HDR signal processing optimization apparatus, including: memory, a processor and a computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, implements the steps of the optimization method of HDR signal processing as described above.
In addition, to achieve the above object, the present invention also provides a computer readable storage medium, which is characterized in that the computer readable storage medium stores thereon an optimization program of HDR signal processing, and the optimization program of HDR signal processing, when executed by a processor, implements the steps of the optimization method of HDR signal processing as described above.
The embodiment of the invention provides an optimization method for HDR signal processing, which comprises the steps of obtaining an HDR signal to be processed; inputting the HDR signal to be processed into a core board, and performing brightness processing according to an HDR brightness curve; and outputting the HDR signal after brightness processing to an application layer through a TCON board. In the processing process of the HDR signal, the gamma function parameter of the core board and the gamma function parameter of the TCON board in the processing step are set to be 1, so that the HDR signal is processed only by the mapping brightness curve of the corresponding core board and then is output to an application layer through the TCON board, the optimization of the HDR signal processing is realized, the signal loss and damage of the HDR signal in the processing process are reduced, and the distortion of the processed HDR signal is further reduced.
Drawings
FIG. 1 is a schematic diagram of a terminal \ device structure of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of an HDR signal processing optimization method according to the present invention;
FIG. 3 is a flow of HDR signal processing;
fig. 4 is a flowchart illustrating an optimization method for HDR signal processing according to a second embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: acquiring an HDR signal to be processed; inputting the HDR signal to be processed into a core board, and performing brightness processing according to an HDR brightness curve; and outputting the HDR signal after brightness processing to an application layer through a TCON board.
Due to the HDR signal processing method in the prior art, the conversion steps and signal calculation methods of signals in the core board and the TCON board are too long, which easily causes loss and damage of signal data of the HDR signal, and further causes a problem of serious distortion of the processed HDR signal.
The invention provides a solution, which resets the parameter values of functions in a core board and a TCON board, reduces the calculation steps in the signal processing process, further reduces the signal loss in the HDR signal processing process, and further reduces the problem of HDR signal distortion.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a PC, and can also be a mobile terminal device with a display function, such as a smart phone, a tablet computer, an electronic book reader, a portable computer and the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an optimization program of HDR signal processing.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to invoke an optimization program for HDR signal processing stored in the memory 1005 and perform the following operations:
acquiring an HDR signal to be processed;
inputting the HDR signal to be processed into a core board, and performing brightness processing according to an HDR brightness curve;
and outputting the HDR signal after brightness processing to an application layer through a TCON board.
Further, the processor 1001 may call an optimization program of HDR signal processing stored in the memory 1005, and also perform the following operations:
extracting gamma curve function parameters of the HDR signal to be processed;
and when the gamma curve function parameter is 1, outputting the HDR signal after brightness processing to an application layer through TCON.
Further, the processor 1001 may call an optimization program of HDR signal processing stored in the memory 1005, and also perform the following operations:
when the gamma curve function parameter is not 1, processing the HDR signal after brightness processing according to the gamma curve function parameter;
the step of outputting the HDR signal after brightness processing to an application layer through a TCON board comprises the following steps:
and sending the processed HDR signal to a TCON board for gamma curve processing, and outputting the processed HDR signal to an application layer.
Further, the processor 1001 may call an optimization program of HDR signal processing stored in the memory 1005, and also perform the following operations:
and constructing a signal processing format, and recording function parameters based on the signal processing format, wherein the function parameters comprise function parameters of a gamma curve of the core board and function parameters of a gamma curve in the TCON board.
Further, the processor 1001 may call an optimization program of HDR signal processing stored in the memory 1005, and also perform the following operations:
outputting prompt information whether the processing result of the HDR signal meets the processing requirement, and receiving a re-processing request triggered based on the prompt information;
and based on the reprocessing request, executing a step of extracting gamma curve function parameters of the HDR signal to be processed so as to process the HDR signal.
Referring to fig. 2, fig. 2 is a schematic flowchart of a first embodiment of an HDR signal processing optimization method according to the present invention, where the HDR signal processing optimization method includes:
step S10, obtaining HDR signals to be processed;
according to the HDR signal processing requirement, acquiring a corresponding HDR signal to be processed, where the source of the HDR signal to be processed is a corresponding HDR signal making/generating region, such as a network device that can generate an HDR signal, and a specific source manner is related to a region to which the HDR signal processing method is currently applied.
Step S20, inputting the HDR signal to be processed into a core board, and performing brightness processing according to the HDR brightness curve;
acquiring HDR signal content to be processed based on a set HDR signal processing method, and receiving a corresponding signal processing format based on the acquired HDR signal to be processed, wherein the signal processing format is the set signal processing format in the HDR signal processing method, the content of the signal processing format comprises signal processing of a core board and signal processing of a TCON board, and the processing mode is that the HDR signal to be processed is input based on an inlet of the core board, and Mapping curve processing and gamma curve processing of HDR brightness are performed in the core board; then, the HDR signal processed in the core board is output to a gamma curve processing of a TCON board through an output end of the core board; and after the processing operation of the gamma curve of the TCON board is completed, outputting the processed HDR signal. It can be seen that fig. 3 is a flow of HDR signal processing, as described in fig. 3.
Wherein, after the step of performing the HDR signal processing, that is, the step of performing the luminance processing according to the HDR luminance curve, the method further comprises:
extracting gamma curve function parameters of the HDR signal to be processed;
based on the content of the currently processed HDR signal, extracting a gamma curve function parameter for processing the HDR signal, where the gamma curve function parameter includes, as shown in fig. 3, a gamma curve function parameter of a core board and a gamma curve function parameter of a TCON board, and reading a numerical value of the function content to substitute the numerical value of the function parameter into an HDR signal processing format to perform the processing step of the HDR signal. In the content of fig. 3, the step of processing the HDR signal is divided into three parts, and in the whole processing process, the HDR signal is divided into three stages, which are defined as signal 1, signal 2, signal 3, and signal 4, where a gamma curve of the core board and a gamma curve of the TCON board are defined as parameters of functions f2 and f3, and if the values of the function parameters are defined as gamma2 ═ 1/2.20, and gamma3 ═ 2.20, the step of processing the HDR signal is as follows:
1) signal 2 ═ f1 (signal 1);
2) signal 3 ═ f2 (signal 2) ═ signal 2^ gamma 2;
3) signal 4 ═ f3 (signal 3) ═ signal 3^ gamma 3;
4) turn on f1, the HDR luminance Mapping curve, while keeping: signal 4 is signal 2;
5) from equation 2 and equation 3, it can be seen that: signal 4 ═ signal 2^ (gamma 2^ gamma 3);
6) i.e., gamma2 gamma3 ═ 1.00;
7) in addition, for the SDR signal, the f1 HDR luminance Mapping curve is closed while: gamma2 gamma3 ═ 2.20.
The above steps may be simplified to be after the step of extracting the gamma curve function parameter of the HDR signal to be processed, and further include:
when the gamma curve function parameter is not 1, processing the HDR signal after brightness processing according to the gamma curve function parameter;
the step of outputting the HDR signal after brightness processing to an application layer through a TCON board comprises the following steps:
and sending the processed HDR signal to a TCON board for gamma curve processing, and outputting the processed HDR signal to an application layer.
As described above, based on the above HDR signal processing steps, when the corresponding gamma function parameter is 1, the HDR signal processing steps can be optimized as follows:
1) signal 3 is signal 2;
2) signal 4 is signal 3.
In the above, when the gamma curve function parameter is 1, the HDR signal after performing the luminance processing is output to the application layer through the TCON.
In step S30, the HDR signal after luminance processing is output to the application layer through the TCON board.
After the HDR signal is processed, the HDR signal is output through the TCON board, and the output position of the HDR signal is a corresponding application layer, since the processing step of the HDR signal is defined as a processing layer in the system method, after the HDR signal is processed by the processing layer, the processed HDR signal is output to the application layer through the TCON board, so as to apply the processed HDR signal.
In addition, after the step of outputting the processed HDR signal to the application layer via the TCON, the method further includes:
outputting prompt information whether the processing result of the HDR signal meets the processing requirement, and receiving a re-processing request triggered based on the prompt information;
and based on the reprocessing request, executing a step of extracting gamma curve function parameters of the HDR signal to be processed so as to process the HDR signal.
And after the HDR signal processing is finished, outputting prompt information whether the processing result of the HDR signal meets the HDR signal processing requirement. And receiving a reprocessing request triggered based on the prompt message. And executing a step of extracting gamma curve function parameters of the HDR signal to be processed based on the reprocessing request information so as to process the HDR signal.
In this embodiment, when processing an obtained HDR to be processed, a processing step of determining the HDR signal based on a value of a gamma function parameter processed by the HDR signal is performed, and when it is determined that the value of the gamma function parameter is 1, the HDR signal is output after being subjected to mapping curve processing of HDR luminance only, so that the HDR signal processing step is reduced, and a phenomenon of HDR signal processing distortion is reduced.
Referring to fig. 4, fig. 4 is a flowchart illustrating a second embodiment of the HDR signal processing optimization method of the present invention, based on the above embodiment shown in fig. 2, the method further includes:
step S40, constructing a signal processing format, and recording function parameters based on the signal processing format, wherein the function parameters comprise function parameters of a gamma curve of the core board and function parameters of a gamma curve in the TCON board.
Before the HDR signal is processed, signal processing formats in the HDR signal processing method, that is, parameters of HDR processing, are constructed at the processing layer, the parameter values include a core board luminance Mapping curve, core board function parameters, and TCON function parameters, and parameter information in each signal processing format corresponds to each other. Different signal processing formats are corresponding to each set of set parameter values, and the quality of HDR signal processing results based on the signal processing formats is inconsistent.
In this embodiment, function parameter information in the HDR signal processing format is set to perform corresponding step processing on the HDR signal when the HDR signal is processed, so as to meet the processing requirement of the HDR signal.
Furthermore, an embodiment of the present invention also provides a computer-readable storage medium, on which an optimization program for HDR signal processing is stored, and when executed by a processor, the optimization program for HDR signal processing implements the following operations:
acquiring an HDR signal to be processed;
inputting the HDR signal to be processed into a core board, and performing brightness processing according to an HDR brightness curve;
and outputting the HDR signal after brightness processing to an application layer through a TCON board.
Further, the optimization procedure of HDR signal processing, when executed by a processor, further implements the following operations:
extracting gamma curve function parameters of the HDR signal to be processed;
and when the gamma curve function parameter is 1, outputting the HDR signal after brightness processing to an application layer through TCON.
Further, the optimization procedure of HDR signal processing, when executed by a processor, further implements the following operations:
when the gamma curve function parameter is not 1, processing the HDR signal after brightness processing according to the gamma curve function parameter;
the step of outputting the HDR signal after brightness processing to an application layer through a TCON board comprises the following steps:
and sending the processed HDR signal to a TCON board for gamma curve processing, and outputting the processed HDR signal to an application layer.
Further, the optimization procedure of HDR signal processing, when executed by a processor, further implements the following operations:
and constructing a signal processing format, and recording function parameters based on the signal processing format, wherein the function parameters comprise function parameters of a gamma curve of the core board and function parameters of a gamma curve in the TCON board.
Further, the optimization procedure of HDR signal processing, when executed by a processor, further implements the following operations:
outputting prompt information whether the processing result of the HDR signal meets the processing requirement, and receiving a re-processing request triggered based on the prompt information;
and based on the reprocessing request, executing a step of extracting gamma curve function parameters of the HDR signal to be processed so as to process the HDR signal.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (5)
1. An optimization method for HDR signal processing, the optimization method comprising the steps of:
constructing a signal processing format, and recording function parameters based on the signal processing format, wherein the function parameters comprise function parameters of a gamma curve of a core board and function parameters of a gamma curve in a TCON board;
acquiring an HDR signal to be processed, and processing a format based on a signal corresponding to the HDR signal to be processed;
inputting the HDR signal to be processed into a core board, performing brightness processing on the HDR signal to be processed by using an HDR brightness curve of the core board function parameter, and extracting a gamma curve function parameter of the HDR signal to be processed;
and when the gamma curve function parameter is confirmed to be 1, outputting the HDR signal after brightness processing to an application layer through a TCON board.
2. The method as claimed in claim 1, wherein the step of extracting the gamma curve function parameter of the HDR signal to be processed further comprises:
when the gamma curve function parameter is not 1, processing the HDR signal after brightness processing according to the gamma curve function parameter;
the step of outputting the HDR signal after brightness processing to an application layer through a TCON board comprises the following steps:
and sending the processed HDR signal to a TCON board for gamma curve processing, and outputting the processed HDR signal to an application layer.
3. The method of optimizing HDR signal processing according to any one of claims 1 to 2, wherein after the step of outputting the luminance-processed HDR signal to the application layer via the TCON board, the method further comprises:
outputting prompt information whether the processing result of the HDR signal meets the processing requirement, and receiving a re-processing request triggered based on the prompt information;
and based on the reprocessing request, executing a step of extracting gamma curve function parameters of the HDR signal to be processed so as to process the HDR signal.
4. An apparatus for optimizing HDR signal processing, the apparatus comprising: memory, a processor and a computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps of the optimization method of HDR signal processing of any of claims 1 to 3.
5. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon an optimization program of HDR signal processing, which when executed by a processor implements the steps of the optimization method of HDR signal processing as claimed in any one of claims 1 to 3.
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