CN114025079B - Image quality optimization parameter processing method, device and system - Google Patents
Image quality optimization parameter processing method, device and system Download PDFInfo
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
Abstract
The embodiment of the invention provides a processing method, a device, a system, electronic equipment and a readable storage medium for image quality optimization parameters, wherein the method comprises the following steps: after the image quality is adjusted, determining the optimized parameter information output by each adjusting module; and providing the optimized parameter information to the corresponding imaging equipment in a data stream mode by adopting a preset data transmission rule, so that the imaging equipment hives the optimized parameter information into a memory data segment of the corresponding target initial optimized parameter information. According to the embodiment of the invention, the association of the compiler and the Tuning XML data is bypassed in a memory hijacking mode, and the problems of cost and efficiency caused by different compilers adopted by different processing chips are eliminated.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to a method for processing an image quality optimization parameter, a device for processing an image quality optimization parameter, a system for processing an image quality optimization parameter, an electronic device, and a computer readable storage medium.
Background
The visual technology of the intelligent internet of things industry rapidly develops, and cameras, around-view monitoring and visual equipment can achieve the purposes of high information content and low hardware investment by means of lenses with wide field angles. Current camera products still suffer from certain quality problems, including: module problems (distortion, chromatic aberration, blurring, speckles, etc.), sensor problems (noise, color, dead spots, etc.), reduction, mounting accuracy (viewing angle difference, viewing axis deviation, inclination deviation, etc.). The module and Sensor problems can be corrected by image quality tuning (Image Quality Tuning), which means that the camera performance is optimized by adjusting system software, hardware and optical parameters according to the application requirements of the camera. However, the tools, procedures, and module groups for adjusting the imaging quality are different for different processing chips, and there is a large difference.
From the perspective of a Camera developer, for a Tuning parameter file under different platform conditions, namely a Tuning XML file, a corresponding Tuning compiler is generated through compiling a development kit provided by a platform, a Tuning result is compiled into a binary file suitable for the platform and a Sensor, and a Tuning bin file mode is adopted by most platforms to provide to a CAMHAL for Tuning control. Therefore, for the Camera developer, in the process of connecting the Tuning result and the platform, independent development work caused by the difference of the compiler is unavoidable, and the Tuning problem caused by the compiler is less easy to locate and modify relative to the imaging quality problem, thereby affecting the efficiency of the whole Tuning process.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are presented to provide a processing method of an image quality optimization parameter and a processing apparatus of an image quality optimization parameter, a processing system of an image quality optimization parameter, an electronic device, and a computer-readable storage medium, which overcome or at least partially solve the above problems.
The embodiment of the invention discloses a processing method of image quality optimization parameters, which is applied to a server and comprises the following steps:
after the image quality is adjusted, determining the optimized parameter information output by each adjusting module;
providing the optimized parameter information to the corresponding imaging equipment in a data stream mode by adopting a preset data transmission rule, so that the imaging equipment hives the optimized parameter information into a memory data segment of the corresponding target initial optimized parameter information; the preset data transmission rule can enable the imaging device to access the optimized parameter information.
Optionally, the providing the optimized parameter information to the corresponding imaging device by using a preset data transmission rule through a data stream includes:
And providing the optimized parameter information carrying the corresponding data storage information, the corresponding tuning module identification information and the corresponding tuning module function description information to the imaging equipment in a data stream mode.
The embodiment of the invention also discloses another processing method of the image quality optimization parameters, which is applied to imaging equipment, wherein the imaging equipment stores initial optimization parameter information, and the method comprises the following steps:
acquiring optimization parameter information provided according to a preset data transmission rule, and determining target initial optimization parameter information corresponding to the optimization parameter information;
hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information.
Optionally, the imaging device has a first functional interface, before determining the target initial optimization parameter information corresponding to the optimization parameter information, the imaging device further includes:
searching a data stream for transmitting the initial optimization parameter information through the first functional interface in a hardware abstraction layer and an application framework layer of the imaging equipment;
judging whether the data storage amount of all the optimized parameter information is far greater than the data storage amount of all the initial optimized parameter information;
If yes, executing the step of determining target initial optimization parameter information corresponding to the optimization parameter information.
Optionally, the optimizing parameter information carries corresponding function description information of the tuning module, and the determining the target initial optimizing parameter information corresponding to the optimizing parameter information includes:
performing keyword matching on the function description information of the tuning module and the function description information in the initial optimization parameter information to obtain corresponding matching degree;
and if the matching degree is larger than a preset matching threshold value, determining the initial optimization parameter information corresponding to the matching degree as the target initial optimization parameter information of the optimization parameter information.
Optionally, hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information includes:
determining the initial position of hijacking the optimized parameter information into the memory data segment;
determining a data conversion relation between the optimized parameter information and the target initial optimized parameter information;
after the optimized parameter information is subjected to data conversion according to the data conversion relation, the optimized parameter information after the data conversion is hijacked into the memory data segment from the initial position.
Optionally, the determining hijacking the optimized parameter information to the starting position in the memory data segment includes:
determining a cross-correlation function between the optimized parameter information and the target initial optimized parameter information, and determining the maximum value position of the cross-correlation function; the optimization parameter information and the target initial optimization parameter information are column vector parameter information;
and hijacking the maximum value position as the starting position of the optimized parameter information in the memory data segment.
Optionally, the determining the data conversion relationship between the optimization parameter information and the target initial optimization parameter information includes:
taking the starting position as a starting point, taking the length of the data segment of the optimization parameter information as a step length, and extracting a first data segment from the memory data segment;
taking the data segment corresponding to the optimized parameter information as a second data segment;
and fitting the transformation equation of the first data segment and the second data segment through a least square method to obtain the corresponding data conversion relation.
The embodiment of the invention also discloses a processing device of the image quality optimization parameter, which is applied to the server and comprises the following steps:
The determining module is used for determining the optimized parameter information output by each optimizing module after the image quality is optimized;
the providing module is used for providing the optimized parameter information to the corresponding imaging equipment in a data stream mode by adopting a preset data transmission rule so that the imaging equipment hives the optimized parameter information into a memory data segment of the corresponding target initial optimized parameter information; the preset data transmission rule can enable the imaging device to access the optimized parameter information.
Optionally, the providing module includes:
and the providing sub-module is used for providing the optimized parameter information carrying the corresponding data storage information, the corresponding tuning module identification information and the corresponding tuning module function description information to the imaging equipment in a data stream mode.
The embodiment of the invention also discloses another processing device of the image quality optimization parameter, which is applied to imaging equipment, wherein the imaging equipment stores initial optimization parameter information, and the device comprises:
the acquisition module is used for acquiring the optimized parameter information provided according to a preset data transmission rule and determining target initial optimized parameter information corresponding to the optimized parameter information;
And the hijacking module is used for hijacking the optimized parameter information into the memory data segment corresponding to the target initial optimized parameter information.
Optionally, the imaging device has a first functional interface, and the apparatus further includes:
the searching module is used for searching a data stream for transmitting the initial optimization parameter information in a hardware abstraction layer and an application framework layer of the imaging equipment through the first functional interface;
the judging module is used for judging whether the data storage amount of all the optimized parameter information is far greater than the data storage amount of all the initial optimized parameter information;
and the execution module is used for executing the step of determining the target initial optimization parameter information corresponding to the optimization parameter information if the target initial optimization parameter information is the same as the optimization parameter information.
Optionally, the optimization parameter information carries corresponding function description information of the tuning module, and the obtaining module includes:
the matching sub-module is used for carrying out keyword matching on the function description information of the tuning module and the function description information in the initial optimization parameter information to obtain corresponding matching degree;
and the first determining submodule is used for determining the initial optimization parameter information corresponding to the matching degree as the target initial optimization parameter information of the optimization parameter information if the matching degree is larger than a preset matching threshold value.
Optionally, the hijacking module includes:
the second determining submodule is used for determining that the optimized parameter information is hijacked to the starting position in the memory data segment;
a third determining submodule, configured to determine a data conversion relationship between the optimization parameter information and the target initial optimization parameter information;
and the hijacking sub-module is used for hijacking the optimized parameter information after the data conversion from the initial position to the memory data segment after the data conversion of the optimized parameter information is carried out according to the data conversion relation.
Optionally, the second determining sub-module includes:
a first determining unit, configured to determine a cross-correlation function between the optimization parameter information and the target initial optimization parameter information, and determine a maximum position of the cross-correlation function; the optimization parameter information and the target initial optimization parameter information are column vector parameter information;
and the second determining unit is used for hijacking the maximum value position serving as the starting position of the optimized parameter information in the memory data segment.
Optionally, the third determining sub-module includes:
the extraction unit is used for taking the starting position as a starting point and taking the length of the data segment of the optimized parameter information as a step length to extract a first data segment from the memory data segment;
A third determining unit, configured to use a data segment corresponding to the optimization parameter information as a second data segment;
and the fitting unit is used for fitting the transformation equation of the first data segment and the second data segment through a least square method to obtain the corresponding data conversion relation.
The embodiment of the invention also discloses a processing system of the image quality optimization parameters, which comprises a server and imaging equipment, wherein the imaging equipment stores initial optimization parameter information;
the server is used for determining the optimized parameter information output by each optimizing module after the image quality is optimized; providing the optimized parameter information to the corresponding imaging equipment in a data stream mode by adopting a preset data transmission rule;
the imaging equipment is used for acquiring optimization parameter information provided according to a preset data transmission rule and determining target initial optimization parameter information corresponding to the optimization parameter information; hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information.
The embodiment of the invention also discloses an electronic device, which comprises: a processor, a memory and a computer program stored on the memory and capable of running on the processor, which computer program, when being executed by the processor, carries out the steps of a method of processing an image quality optimization parameter as described above.
The embodiment of the invention also discloses a computer readable storage medium, wherein the computer readable storage medium stores a computer program which realizes the steps of the processing method of the image quality optimization parameter when being executed by a processor.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, the server can adopt a preset data transmission rule to provide the optimized parameter information to the imaging equipment in a data stream mode, and the imaging equipment can directly hijack the optimized parameter information into the memory data segment of the corresponding target initial optimized parameter information. By adopting the method, the association of the compiler and the Tuning XML data is bypassed in a memory hijacking mode, and the problems of cost and efficiency caused by different compilers adopted by different processing chips are eliminated.
Drawings
FIG. 1 is a flow chart of steps of a method for processing image quality optimization parameters according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating another method for processing image quality optimization parameters according to an embodiment of the present invention;
FIG. 3 is a flow chart of steps of a processing system for optimizing parameters for image quality in accordance with an embodiment of the present invention;
FIG. 4 is a block diagram of a processing device for optimizing parameters of image quality according to an embodiment of the present invention;
fig. 5 is a block diagram of another image quality optimization parameter processing apparatus according to an embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings, and some, but not all of which are illustrated in the appended drawings. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the invention, fall within the scope of protection of the invention.
Camera Tuning refers to a process of Tuning the imaging quality of a Camera through a chip platform tool. The Tuning chip platform refers to an integrated circuit set with an independent computing control unit (CPU), supporting system on a chip (SOC) development, and capable of supporting software and hardware expansion (such as graphics card, storage, video acquisition, etc.). The Tuning bin file refers to a Tuning data file read by a camera hardware abstraction layer (camband). The Tuning xml file is also a Tuning data file, and is used for storing Tuning parameters after Tuning. The Tuning BIN file is generated from a Tuning XML file. The camal refers to a hardware abstraction layer of Camera, and provides an interface for controlling hardware for software.
The tools, procedures, and module sets for adjusting imaging quality are different, even significantly different, for different processing chips. For example: an independent module 3DNR for denoising under the hessian platform is present, whereas the high-pass platform is not. The difference between the different platforms makes the platforms relatively independent.
From the perspective of a Camera developer, for a Tuning parameter file under different platform conditions, namely a Tuning XML file, a corresponding Tuning compiler is generated through compiling a development kit provided by a platform, a Tuning result is compiled into a binary file suitable for the platform and a Sensor, and a Tuning bin file mode is adopted by most platforms to provide to a CAMHAL for Tuning control. Therefore, for the Camera developer, in the process of connecting the Tuning result and the platform, independent development work caused by the difference of the compiler is unavoidable, and the Tuning problem caused by the compiler is less easy to locate and modify relative to the imaging quality problem, thereby affecting the efficiency of the whole Tuning process.
For compiler differences, the problem of differences between different chip platforms is still solved in a development mode, namely: 1) The platform provides a development kit; 2) Compiler generation based on the development kit; 3) Generating a Tuning XML file based on the CameraTuning; 4) Compiling the Tuning XML file through a compiler adapted to the corresponding platform and the Sensor, and shooting on the imaging equipment; 5) If the shooting process is normal, the compiler is proved to have no obvious logic problem, otherwise, the process continues from 2) to 4).
In the process of compiling the Tuning parameters, if the actual imaging quality is greatly different from the XML adjustment quality or the simulation quality, the difficulty of positioning and solving the imaging quality problem is increased. At present, there is no effective solution for the situation of compiler difference, and because of the combination of chip platform and sensor, if all combinations are exhausted, the generated compilers will be tens of thousands and verification investment for each compiler will be huge.
In summary, independent development and production of different platform compilers increases the Tuning trial-and-error cost. The investment brought by the compiling mode based on the exhaustion of the platform and the Sensor is intolerable. Currently, there is no way to mitigate the cost or efficiency issues caused by compiler differences.
One of the core concepts of the embodiments of the present invention is that a server may provide optimization parameter information to an imaging device by using a preset data transfer rule in a data stream manner, and the imaging device may hijack the optimization parameter information directly into a memory data segment of a corresponding target initial optimization parameter information. By adopting the method, the association of the compiler and the Tuning XML data is bypassed in a memory hijacking mode, and the problems of cost and efficiency caused by different compilers adopted by different processing chips are eliminated.
Referring to fig. 1, a step flow chart of a processing method of an image quality optimization parameter provided by an embodiment of the present invention is shown, and the processing method is applied to a server, and may specifically include the following steps:
and step 101, after the image quality adjustment is finished, determining the optimization parameter information output by each adjustment module.
The server can be a server in communication connection with the chip platform debugging tool, or can be a server where the chip platform debugging tool is located.
In the embodiment of the invention, a plurality of tuning models are arranged in a chip platform debugging tool for performing imaging quality tuning, and after the imaging quality tuning is performed on the chip platform debugging tool, each tuning module of the chip platform debugging tool outputs corresponding optimization parameter information. In one example, the optimization parameter information may be stored in an XML file. The optimization parameter information may also be vectorized. The tuning module may include BLC (black level compensation ), LSC (lens shading correction, lens correction), demosaic (color interpolation), gamma, etc.
For example, in the chip platform debugging tool, the tuning module involved in the chip platform debugging tool can be determined to perform imaging quality tuning based on the description file of the chip platform and the initial tuning XML file Recorded as i E [1, N]And XML column vector parameter m output by tuning module i Suppose that N ε Z exists + A module for representing all XML column vector parameters in the form of collection, and denoted as M= { M i |m i E R }. That is, in the embodiment of the present invention, the set model may be used to represent the optimized parameter information output by all the tuning modules.
Step 102, providing the optimized parameter information to a corresponding imaging device in a data stream manner by adopting a preset data transmission rule, so that the imaging device hives the optimized parameter information into a memory data segment of the corresponding target initial optimized parameter information.
The preset data transmission rule can enable the imaging device to access the optimized parameter information.
In the embodiment of the invention, the optimized parameter information of each tuning module can be provided to the corresponding imaging equipment in a data stream mode by adopting a preset data transmission rule. Specifically, the aggregate model containing all the optimized parameter information may be provided to the imaging device through a specified data flow manner. The predetermined data stream may be transmitted as an offline file.
In an alternative embodiment, for step 102, the following steps may be performed:
And S11, providing the optimized parameter information carrying the corresponding data storage information, the corresponding tuning module identification information and the corresponding tuning module function description information to the imaging equipment in a data stream mode.
The following table 1 shows a data transfer rule according to an embodiment of the present invention.
Table 1 tuning Module data transfer rule example
| Module number | Corresponding module | Description of the functionality | Modular data quantization bit number | Length of |
| i | i | Gamma | 16bit | 256 |
As can be seen from table 1, the transmitted optimization parameter information may carry corresponding tuning module identification information, corresponding tuning module function description information and own data storage information.
The data transmission rule is formulated and used for transmitting the optimized parameter information to the imaging equipment in a unified format, so that the optimized parameter information can be accessed in a processing chip of the imaging equipment without barriers, and the optimized parameter information is adopted for imaging, so that a better imaging effect can be obtained.
After the imaging device obtains the optimized parameter information, the optimized parameter information is directly hijacked into the memory data segment of the corresponding target initial optimized parameter information.
In summary, in the embodiment of the present invention, the server may use a preset data transfer rule to provide the optimization parameter information to the imaging device in a data stream manner, and the imaging device may hijack the optimization parameter information directly into the memory data segment of the corresponding target initial optimization parameter information. By adopting the method, the association of the compiler and the Tuning XML data is bypassed in a memory hijacking mode, and the problems of cost and efficiency caused by different compilers adopted by different processing chips are eliminated.
Referring to fig. 2, a flowchart illustrating steps of another processing method of an image quality optimization parameter provided by an embodiment of the present invention is applied to an imaging device, where initial optimization parameter information is stored, and specifically may include the following steps:
step 201, obtaining optimization parameter information provided according to a preset data transmission rule, and determining target initial optimization parameter information corresponding to the optimization parameter information.
In the embodiment of the invention, the imaging equipment acquires the optimized parameter information provided according to the preset data transmission rule, and the imaging equipment stores the initial optimized parameter information. A correspondence between the optimization parameter information and the initial optimization parameter information may be determined.
In an optional embodiment, the imaging device has a first functional interface, and before determining the target initial optimization parameter information corresponding to the optimization parameter information, the imaging device further includes:
searching a data stream for transmitting the initial optimization parameter information through the first functional interface in a hardware abstraction layer and an application framework layer of the imaging equipment; judging whether the data storage amount of all the optimized parameter information is far greater than the data storage amount of all the initial optimized parameter information; if yes, executing the step of determining target initial optimization parameter information corresponding to the optimization parameter information.
In the embodiment of the present invention, for the current imaging device, in the layers of the CAM HAL and the OEM Camera (belonging to the application framework layers), a data stream for transmitting the Tuning parameter may be found through the first functional interface, the data storage size of the Tuning parameter may be determined, denoted as L, and after hijacking to the memory, the starting address d of the Tuning parameter in the corresponding memory data segment may be determined s End address d e And l=d e -d s . Assume that the data storage size of the aggregate model containing all the optimization parameter information is L m When L m >>When L, the optimized parameter information in the aggregate model can be considered to cover the initial optimized parameter information of the current imaging equipment, and the method is continuously adoptedThe model is assembled; when the above requirements are not met, the image forming apparatus can consider that the optimization parameter information of the aggregate model is insufficient, and the image forming apparatus writes the information of the insufficient optimization parameter information into the log and exits. The developer can reconstruct the aggregate model M 'in the server side, and update the current aggregate model m=mρum', while updating the corresponding data transfer rule.
In an alternative embodiment, the optimization parameter information carries corresponding tuning module function description information, and for step 201, the following steps may be performed:
And S21, performing keyword matching on the function description information of the tuning module and the function description information in the initial optimization parameter information to obtain corresponding matching degree.
And S22, if the matching degree is larger than a preset matching threshold, determining the initial optimization parameter information corresponding to the matching degree as the target initial optimization parameter information of the optimization parameter information.
In the embodiment of the invention, the target initial optimization parameter information corresponding to the optimization parameter information can be sequentially determined according to the sequence of the tuning module identification information. For example, the functional description of the optimized parameter information of the t-th tuning module is taken and keyword matching is performed with the functional description of the current initial optimized parameter, if no initial optimized parameter information with higher matching degree (for example, more than 90%) exists, the imaging device is considered to have no functional module corresponding to the optimized parameter information, and keyword matching of the optimized parameter information of the t+1th tuning module is performed; otherwise, the target initial optimization parameter information matched with the optimization parameter information is considered to exist.
Step 202, hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information.
In the embodiment of the present invention, the memory data segments corresponding to the initial optimization parameter information in the imaging device are sequentially arranged, and the memory data segments may be defined as column vectors v. Hijacking the optimized parameter information into the memory data segment of the corresponding target initial optimized parameter information, wherein the arrangement position or dimension difference can exist.
For step 202, the following steps may be performed:
in a substep S31, it is determined to hijack the optimized parameter information to the starting location in the memory data segment.
The starting location for hijacking the optimized parameter information into the memory data segment may be determined first.
For sub-step S31, the following steps may be performed:
determining a cross-correlation function between the optimized parameter information and the target initial optimized parameter information, and determining the maximum value position of the cross-correlation function; and hijacking the maximum value position as the starting position of the optimized parameter information in the memory data segment.
The optimization parameter information and the target initial optimization parameter information are column vector parameter information.
In one example, assume that the optimization parameter information is m' t According to the data precision required by the transfer example and v under the same precision, calculating the cross-correlation function between the data precision and v, and determining the maximum value position of the cross-correlation function as k t And taking the position as a starting position for hijacking the optimized parameter information into the memory data segment.
A substep S32 of determining a data conversion relationship between the optimization parameter information and the target initial optimization parameter information;
and determining a data conversion relation between the corresponding optimized parameter information and the target initial optimized parameter information.
For sub-step S32, the following steps may be performed:
taking the starting position as a starting point, taking the length of the data segment of the optimization parameter information as a step length, and extracting a first data segment from the memory data segment; taking the data segment corresponding to the optimized parameter information as a second data segment; and fitting the transformation equation of the first data segment and the second data segment through a least square method to obtain the corresponding data conversion relation.
In one example, slave memory dataIn segment v, take out from k t To k t +d m Data segment (d) m Represents m' t Length) v of (2) t Fitting v by least squares t And m' t Transformation equation v of (2) t ＝α t m′ t +β t Alpha can be t ,β t As the conversion reference of the optimization parameter information corresponding to the tuning module in the memory.
And a substep S33, after the data conversion of the optimized parameter information according to the data conversion relationship, hijacking the optimized parameter information after the data conversion from the starting position into the memory data segment.
In the embodiment of the invention, when all the optimized parameter information finds the corresponding storage position in the internal data segment and the corresponding data conversion relation is determined, the hijacking action aiming at the optimized parameter information can be completed. In addition, the corresponding storage position and the data conversion relation of the optimized parameter information can be stored.
In summary, in the embodiment of the present invention, the server may use a preset data transfer rule to provide the optimization parameter information to the imaging device in a data stream manner, and the imaging device may hijack the optimization parameter information directly into the memory data segment of the corresponding target initial optimization parameter information. By adopting the method, the association of the compiler and the Tuning XML data is bypassed in a memory hijacking mode, and the problems of cost and efficiency caused by different compilers adopted by different processing chips are eliminated. By adopting the mode of the set model, the downward compatibility can be supported, and the exhaustion is not needed.
Referring to fig. 3, there is shown a flow chart of steps of a processing system for image quality optimization parameters according to an embodiment of the present invention, in this embodiment, the processing system includes a server and an imaging device, the imaging device storing initial optimization parameter information;
The server is used for determining the optimized parameter information output by each optimizing module after the image quality is optimized; providing the optimized parameter information to the corresponding imaging equipment in a data stream mode by adopting a preset data transmission rule;
the imaging equipment is used for acquiring optimization parameter information provided according to a preset data transmission rule and determining target initial optimization parameter information corresponding to the optimization parameter information; hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information.
The workflow of the processing system may specifically include the following steps:
step 301, after finishing image quality tuning, the server determines the optimized parameter information output by each tuning module;
step 302, the server adopts a preset data transmission rule to provide the optimized parameter information to the corresponding imaging device in a data stream mode;
step 303, the imaging device obtains the optimized parameter information provided according to the preset data transmission rule, and determines the target initial optimized parameter information corresponding to the optimized parameter information;
step 304, the imaging device hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information.
It should be noted that, the detailed operation process of the processing system for the image quality optimization parameter in the embodiment of the present invention may refer to the description of the processing process of the image quality optimization parameter at the server side or the imaging device side, and in order to avoid repetition, only a simple description is provided here.
In order to enable those skilled in the art to better understand steps 301 to 304 of the present embodiment, the following description is given by way of example:
1. the server determines the optimized parameter information output by each optimizing module, and sets the model M containing all optimized parameter information according to the data transmission rule p Provided to a corresponding imaging device (in particular a processing chip in the imaging device);
2. respectively determining target initial optimization parameter information corresponding to each optimization parameter information, and determining memory data segments between the target initial optimization parameter information and the target initial optimization parameter informationData conversion relation in the memory data segment to obtain a vector corresponding to the memory data segment
3. Determining storage position (initial position is k) of each optimized parameter information in memory data segment of corresponding target initial optimized parameter information t )；
4. For the memory data segment of the initial optimized parameter information which is hijacked, at k t Where v is t And copying the data into the corresponding memory segment to complete the compiling difference optimization process.
In summary, in the embodiment of the present invention, the server may use a preset data transfer rule to provide the optimization parameter information to the imaging device in a data stream manner, and the imaging device may hijack the optimization parameter information directly into the memory data segment of the corresponding target initial optimization parameter information. By adopting the method, the association of the compiler and the Tuning XML data is bypassed in a memory hijacking mode, and the problems of cost and efficiency caused by different compilers adopted by different processing chips are eliminated. By adopting the mode of the set model, the downward compatibility can be supported, and the exhaustion is not needed.
It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.
Referring to fig. 4, a block diagram of a processing device for image quality optimization parameters according to an embodiment of the present invention is shown, and the processing device is applied to a server, and may specifically include the following modules:
the determining module 401 is configured to determine the optimized parameter information output by each optimizing module after the image quality is optimized;
a providing module 402, configured to provide the optimized parameter information to a corresponding imaging device by using a preset data transfer rule in a data stream manner, so that the imaging device hives the optimized parameter information into a memory data segment of the corresponding target initial optimized parameter information; the preset data transmission rule can enable the imaging device to access the optimized parameter information.
In an embodiment of the present invention, the providing module includes:
and the providing sub-module is used for providing the optimized parameter information carrying the corresponding data storage information, the corresponding tuning module identification information and the corresponding tuning module function description information to the imaging equipment in a data stream mode.
In summary, in the embodiment of the present invention, the server may use a preset data transfer rule to provide the optimization parameter information to the imaging device in a data stream manner, and the imaging device may hijack the optimization parameter information directly into the memory data segment of the corresponding target initial optimization parameter information. By adopting the method, the association of the compiler and the Tuning XML data is bypassed in a memory hijacking mode, and the problems of cost and efficiency caused by different compilers adopted by different processing chips are eliminated.
Referring to fig. 5, a block diagram of another processing apparatus for image quality optimization parameters according to an embodiment of the present invention is shown, and the processing apparatus is applied to an imaging device, where initial optimization parameter information is stored, and may specifically include the following modules:
the acquiring module 501 is configured to acquire optimization parameter information provided according to a preset data transmission rule, and determine target initial optimization parameter information corresponding to the optimization parameter information;
the hijacking module 502 is configured to hijack the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information.
In an embodiment of the present invention, the imaging device has a first functional interface, and the apparatus further includes:
the searching module is used for searching a data stream for transmitting the initial optimization parameter information in a hardware abstraction layer and an application framework layer of the imaging equipment through the first functional interface;
the judging module is used for judging whether the data storage amount of all the optimized parameter information is far greater than the data storage amount of all the initial optimized parameter information;
and the execution module is used for executing the step of determining the target initial optimization parameter information corresponding to the optimization parameter information if the target initial optimization parameter information is the same as the optimization parameter information.
In the embodiment of the present invention, the optimization parameter information carries corresponding function description information of the tuning module, and the obtaining module includes:
the matching sub-module is used for carrying out keyword matching on the function description information of the tuning module and the function description information in the initial optimization parameter information to obtain corresponding matching degree;
and the first determining submodule is used for determining the initial optimization parameter information corresponding to the matching degree as the target initial optimization parameter information of the optimization parameter information if the matching degree is larger than a preset matching threshold value.
In an embodiment of the present invention, the hijacking module includes:
the second determining submodule is used for determining that the optimized parameter information is hijacked to the starting position in the memory data segment;
a third determining submodule, configured to determine a data conversion relationship between the optimization parameter information and the target initial optimization parameter information;
and the hijacking sub-module is used for hijacking the optimized parameter information after the data conversion from the initial position to the memory data segment after the data conversion of the optimized parameter information is carried out according to the data conversion relation.
In an embodiment of the present invention, the second determining sub-module includes:
a first determining unit, configured to determine a cross-correlation function between the optimization parameter information and the target initial optimization parameter information, and determine a maximum position of the cross-correlation function; the optimization parameter information and the target initial optimization parameter information are column vector parameter information;
and the second determining unit is used for hijacking the maximum value position serving as the starting position of the optimized parameter information in the memory data segment.
In an embodiment of the present invention, the third determining sub-module includes:
the extraction unit is used for taking the starting position as a starting point and taking the length of the data segment of the optimized parameter information as a step length to extract a first data segment from the memory data segment;
a third determining unit, configured to use a data segment corresponding to the optimization parameter information as a second data segment;
and the fitting unit is used for fitting the transformation equation of the first data segment and the second data segment through a least square method to obtain the corresponding data conversion relation.
In summary, in the embodiment of the present invention, the server may use a preset data transfer rule to provide the optimization parameter information to the imaging device in a data stream manner, and the imaging device may hijack the optimization parameter information directly into the memory data segment of the corresponding target initial optimization parameter information. By adopting the method, the association of the compiler and the Tuning XML data is bypassed in a memory hijacking mode, and the problems of cost and efficiency caused by different compilers adopted by different processing chips are eliminated. By adopting the mode of the set model, the downward compatibility can be supported, and the exhaustion is not needed.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
The embodiment of the invention also provides electronic equipment, which comprises: the processing method comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the computer program realizes the processes of the processing method embodiment of the image quality optimization parameter when being executed by the processor, and can achieve the same technical effects, and the repetition is avoided, so that the description is omitted.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the processes of the above-mentioned processing method embodiment of the image quality optimization parameter, and can achieve the same technical effects, so that repetition is avoided, and no further description is given here.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, 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.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The foregoing has described in detail the method for processing an image quality optimization parameter, the apparatus for processing an image quality optimization parameter, the system for processing an image quality optimization parameter, an electronic device and a computer readable storage medium, and specific examples have been used herein to illustrate the principles and embodiments of the present invention, and the above examples are only for aiding in understanding the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (11)
1. A method for processing an image quality optimization parameter, the method being applied to a server, the method comprising:
after the image quality is adjusted, determining the optimized parameter information output by each adjusting module;
providing the optimized parameter information to the corresponding imaging equipment in a data stream mode by adopting a preset data transmission rule, so that the imaging equipment hives the optimized parameter information into a memory data segment of the corresponding target initial optimized parameter information; the preset data transmission rule can enable the imaging equipment to access the optimized parameter information;
the step of providing the optimized parameter information to the corresponding imaging device by adopting a preset data transmission rule in a data stream mode comprises the following steps:
providing the optimized parameter information carrying the corresponding data storage information, the corresponding tuning module identification information and the corresponding tuning module function description information to the imaging equipment in a data stream mode;
the hijacking the optimized parameter information into the memory data segment corresponding to the target initial optimized parameter information comprises the following steps:
determining the initial position of hijacking the optimized parameter information into the memory data segment;
Determining a data conversion relation between the optimized parameter information and the target initial optimized parameter information;
after the optimized parameter information is subjected to data conversion according to the data conversion relation, the optimized parameter information after the data conversion is hijacked into the memory data segment from the initial position.
2. A processing method of an image quality optimization parameter, characterized by being applied to an imaging apparatus storing initial optimization parameter information, the method comprising:
acquiring optimization parameter information provided according to a preset data transmission rule, and determining target initial optimization parameter information corresponding to the optimization parameter information;
hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information;
the obtaining the optimized parameter information provided according to the preset data transmission rule comprises the following steps:
acquiring optimized parameter information provided by a data stream mode according to a preset data transmission rule;
the step of obtaining the optimized parameter information provided by a data stream mode according to a preset data transmission rule comprises the following steps:
acquiring the optimized parameter information carrying corresponding data storage information, corresponding tuning module identification information and corresponding tuning module function description information in a data stream mode;
The hijacking the optimized parameter information into the memory data segment corresponding to the target initial optimized parameter information comprises the following steps:
determining the initial position of hijacking the optimized parameter information into the memory data segment;
determining a data conversion relation between the optimized parameter information and the target initial optimized parameter information;
after the optimized parameter information is subjected to data conversion according to the data conversion relation, the optimized parameter information after the data conversion is hijacked into the memory data segment from the initial position.
3. The method according to claim 2, wherein the imaging device has a first functional interface, and before determining the target initial optimization parameter information corresponding to the optimization parameter information, further comprises:
searching a data stream for transmitting the initial optimization parameter information through the first functional interface in a hardware abstraction layer and an application framework layer of the imaging equipment;
judging whether the data storage amount of all the optimized parameter information is far greater than the data storage amount of all the initial optimized parameter information;
if yes, executing the step of determining target initial optimization parameter information corresponding to the optimization parameter information.
4. The method according to claim 2, wherein the optimization parameter information carries corresponding tuning module function description information, and the determining the target initial optimization parameter information corresponding to the optimization parameter information includes:
performing keyword matching on the function description information of the tuning module and the function description information in the initial optimization parameter information to obtain corresponding matching degree;
and if the matching degree is larger than a preset matching threshold value, determining the initial optimization parameter information corresponding to the matching degree as the target initial optimization parameter information of the optimization parameter information.
5. The method of claim 2, wherein the determining to hijack the optimized parameter information to a starting location in the memory data segment comprises:
determining a cross-correlation function between the optimized parameter information and the target initial optimized parameter information, and determining the maximum value position of the cross-correlation function; the optimization parameter information and the target initial optimization parameter information are column vector parameter information;
and hijacking the maximum value position as the starting position of the optimized parameter information in the memory data segment.
6. The method of claim 2, wherein said determining a data conversion relationship between the optimization parameter information and the target initial optimization parameter information comprises:
taking the starting position as a starting point, taking the length of the data segment of the optimization parameter information as a step length, and extracting a first data segment from the memory data segment;
taking the data segment corresponding to the optimized parameter information as a second data segment;
and fitting the transformation equation of the first data segment and the second data segment through a least square method to obtain the corresponding data conversion relation.
7. A processing apparatus for optimizing parameters of image quality, applied to a server, the apparatus comprising:
the determining module is used for determining the optimized parameter information output by each optimizing module after the image quality is optimized;
the providing module is used for providing the optimized parameter information to the corresponding imaging equipment in a data stream mode by adopting a preset data transmission rule so that the imaging equipment hives the optimized parameter information into a memory data segment of the corresponding target initial optimized parameter information; the preset data transmission rule can enable the imaging equipment to access the optimized parameter information;
The providing module includes:
the sub-module is used for providing the optimized parameter information carrying the corresponding data storage information, the corresponding tuning module identification information and the corresponding tuning module function description information to the imaging equipment in a data stream mode;
the hijacking module is used for hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information;
the hijacking module comprises:
the second determining submodule is used for determining that the optimized parameter information is hijacked to the starting position in the memory data segment;
a third determining submodule, configured to determine a data conversion relationship between the optimization parameter information and the target initial optimization parameter information;
and the hijacking sub-module is used for hijacking the optimized parameter information after the data conversion from the initial position to the memory data segment after the data conversion of the optimized parameter information is carried out according to the data conversion relation.
8. A processing apparatus of an image quality optimization parameter, characterized by being applied to an imaging device storing initial optimization parameter information, comprising:
The acquisition module is used for acquiring the optimized parameter information provided according to a preset data transmission rule and determining target initial optimized parameter information corresponding to the optimized parameter information;
the hijacking module is used for hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information;
the optimized parameter information carries corresponding function description information of the tuning module, and the acquisition module is further configured to:
acquiring the optimized parameter information carrying corresponding data storage information, corresponding tuning module identification information and corresponding tuning module function description information in a data stream mode;
the hijacking module comprises:
the second determining submodule is used for determining that the optimized parameter information is hijacked to the starting position in the memory data segment;
a third determining submodule, configured to determine a data conversion relationship between the optimization parameter information and the target initial optimization parameter information;
and the hijacking sub-module is used for hijacking the optimized parameter information after the data conversion from the initial position to the memory data segment after the data conversion of the optimized parameter information is carried out according to the data conversion relation.
9. A processing system for optimizing parameters of image quality, comprising a server and an imaging device, wherein the imaging device stores initial optimizing parameter information;
the server is used for determining the optimized parameter information output by each optimizing module after the image quality is optimized; providing the optimized parameter information to the corresponding imaging equipment in a data stream mode by adopting a preset data transmission rule;
the imaging equipment is used for acquiring optimization parameter information provided according to a preset data transmission rule and determining target initial optimization parameter information corresponding to the optimization parameter information; hijacking the optimized parameter information into a memory data segment corresponding to the target initial optimized parameter information;
the step of providing the optimized parameter information to the corresponding imaging device by adopting a preset data transmission rule in a data stream mode comprises the following steps:
providing the optimized parameter information carrying the corresponding data storage information, the corresponding tuning module identification information and the corresponding tuning module function description information to the imaging equipment in a data stream mode;
the hijacking the optimized parameter information into the memory data segment corresponding to the target initial optimized parameter information comprises the following steps:
Determining the initial position of hijacking the optimized parameter information into the memory data segment;
determining a data conversion relation between the optimized parameter information and the target initial optimized parameter information;
after the optimized parameter information is subjected to data conversion according to the data conversion relation, the optimized parameter information after the data conversion is hijacked into the memory data segment from the initial position.
10. An electronic device, comprising: a processor, a memory and a computer program stored on the memory and capable of running on the processor, which computer program, when being executed by the processor, carries out the steps of a method of processing an image quality optimization parameter according to any one of claims 1 or 2-6.
11. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of a method of processing an image quality optimization parameter according to any one of claims 1 or 2-6.
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