CN116033264A

CN116033264A - Image processing parameter adjusting method, device and equipment

Info

Publication number: CN116033264A
Application number: CN202310011187.4A
Authority: CN
Inventors: 冯毅; 高沛; 蔡超; 刘思聪
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2023-01-05
Filing date: 2023-01-05
Publication date: 2023-04-28

Abstract

The application provides a method, a device and equipment for adjusting image processing parameters, and network data of target image acquisition equipment are acquired; determining network indexes according to the network data; determining an image index according to the network index; and adjusting the image processing parameters of the target image acquisition equipment according to the image indexes. The image processing parameters of the image acquisition equipment can be dynamically adjusted according to the real-time network environment and the service scene where the image acquisition equipment is located, so that the real-time requirements of a service system and a network are met.

Description

Image processing parameter adjusting method, device and equipment

Technical Field

The present disclosure relates to the field of image processing technologies, and in particular, to a method, an apparatus, and a device for adjusting an image processing parameter.

Background

Under the access of a fifth generation mobile communication technology 5G (5 th Generation Mobile Communication Technology) network, the high-definition camera can be matched with an upper system and professional equipment to realize image acquisition. In different business scenarios, the responsibilities assumed by the cameras at each angle or each position are different, so different image processing parameters need to be configured for the cameras.

In the prior art, an installer acquires actual service scenes in advance, installs cameras with different configuration parameters according to different service scene requirements, and performs image acquisition.

However, in the above manner, the service scene where the camera is located is complex and changeable, and the image processing parameters of the camera cannot be dynamically adjusted according to the real-time scene, so that the acquired image quality is too low, further the service requirement cannot be met, and the network resource is wasted.

Disclosure of Invention

The application provides a method, a device and equipment for adjusting image processing parameters, which are used for solving the problem that the acquired image quality is too low due to the fact that the image processing parameters of a camera cannot be dynamically adjusted according to a real-time scene.

In a first aspect, the present application provides a method for adjusting an image processing parameter, the method including:

acquiring network data of target image acquisition equipment; the network data are network data of a target network accessed by the target image acquisition equipment within a preset time period;

determining a network index according to the network data; wherein the network indicator characterizes a current network quality of the target network;

determining an image index according to the network index; wherein the image index characterizes the image quality of the image acquired by the target image acquisition device;

According to the image index, adjusting the image processing parameters of the target image acquisition equipment; the image processing parameters are used for processing the image acquired by the target image acquisition equipment.

In one example, acquiring network data of a target image acquisition device includes:

generating message data and sending the message data to network equipment; the message data are detection data generated by the target image acquisition equipment; the message data is used for being processed to obtain processed message data; the network equipment is connected with the target image acquisition equipment;

receiving the processed message data sent by the network equipment;

and determining the network data according to the message data and the processed message data.

In one example, determining the network data according to the message data and the processed message data includes:

acquiring a message sending time and a message receiving time; the message sending time is the time when the target image acquisition equipment sends the message data; the message receiving time is the time when the target image acquisition equipment receives the processed message data;

Determining network delay data and network jitter data in the network data according to time difference information between the message sending time and the message receiving time; wherein the network delay data characterizes the time taken to transmit the message data in the network; the network jitter data characterizes the extent of variation in the time taken to transmit the message data in the network.

In one example, determining the network data according to the message data and the processed message data further includes:

analyzing the message data to obtain analyzed first message information; analyzing the processed message data to obtain analyzed second message information; wherein, the first message information is byte content configured in the message data; the second message information is byte content configured in the processed message data;

determining network packet loss rate data in the network data according to the first message information and the second message information; the network packet loss rate data represents the ratio of the lost data in the message data to the total number of the message data in the data transmission process.

In one example, determining a network metric from the network data includes:

determining the network index according to network delay data, network jitter data and network packet loss rate data in the network data; wherein the network delay data characterizes the time taken to transmit data in the network; the network jitter data characterizes the degree of variation in the time taken to transmit data in the network; the network packet loss rate data characterizes a ratio of lost data to a total number of transmitted data in the transmitted data in a data transmission process.

In one example, the network index q=d×w ₁ +L*w ₂ +J*w ₃ The method comprises the steps of carrying out a first treatment on the surface of the Wherein D is the network delay data; l is the network jitter data, J is the network packet loss rate data, w ₁ Is a first threshold value, w ₂ Is a second threshold value, w ₃ Is a third threshold.

In one example, determining an image metric from the network metric includes:

if the network index is determined to be greater than or equal to a first network index threshold value and the network index is determined to be less than a second network index threshold value, determining that the image resolution in the image index is in a first preset threshold range, and determining that the image saturation in the image index is in a second preset threshold range;

If the network index is determined to be greater than or equal to the second network index threshold and the network index is determined to be less than the third network index threshold, determining that the image resolution in the image index is in a third preset threshold range, and determining that the image saturation in the image index is in a fourth preset threshold range.

In one example, the method further comprises:

acquiring scene information of target image acquisition equipment; the scene information is real-time scene information of a service scene where the target image acquisition equipment is located;

and determining the image index according to the scene information.

In one example, after acquiring the scene information of the target image capturing apparatus, further comprising:

determining network bandwidth according to the scene information; the network bandwidth is the network bandwidth of the network accessed by the target image acquisition equipment at present;

distributing network resources according to the network bandwidth; the network resource is used for providing a network for the target image acquisition equipment.

In one example, the network data includes one or more of the following: network delay data, network jitter data and network packet loss rate data;

The image index includes one or more of the following: image format, image resolution, image saturation.

In a second aspect, the present application provides an apparatus for adjusting an image processing parameter, the apparatus including:

a first acquisition unit for acquiring network data of the target image acquisition device; the network data are network data of a target network accessed by the target image acquisition equipment within a preset time period;

a first determining unit, configured to determine a network indicator according to the network data; wherein the network indicator characterizes a current network quality of the target network;

a second determining unit, configured to determine an image index according to the network index; wherein the image index characterizes the image quality of the image acquired by the target image acquisition device;

the adjusting unit is used for adjusting the image processing parameters of the target image acquisition equipment according to the image indexes; the image processing parameters are used for processing the image acquired by the target image acquisition equipment.

In one example, the first acquisition unit includes:

the generation module is used for generating message data;

the sending module is used for sending the message data to the network equipment; the message data are detection data generated by the target image acquisition equipment; the message data is used for being processed to obtain processed message data; the network equipment is connected with the target image acquisition equipment;

The receiving module is used for receiving the processed message data sent by the network equipment;

and the first determining module is used for determining the network data according to the message data and the processed message data.

In one example, the first determining module includes:

the acquisition sub-module is used for acquiring the message sending time and the message receiving time; the message sending time is the time when the target image acquisition equipment sends the message data; the message receiving time is the time when the target image acquisition equipment receives the processed message data;

the first determining submodule is used for determining network delay data and network jitter data in the network data according to time difference information between the message sending time and the message receiving time; wherein the network delay data characterizes the time taken to transmit the message data in the network; the network jitter data characterizes the extent of variation in the time taken to transmit the message data in the network.

In one example, the first determining module further includes:

the analysis sub-module is used for analyzing the message data to obtain analyzed first message information; analyzing the processed message data to obtain analyzed second message information; wherein, the first message information is byte content configured in the message data; the second message information is byte content configured in the processed message data;

The second determining submodule is used for determining network packet loss rate data in the network data according to the first message information and the second message information; the network packet loss rate data represents the ratio of the lost data in the message data to the total number of the message data in the data transmission process.

In one example, the first determining unit includes:

the second determining module is used for determining the network index according to the network delay data, the network jitter data and the network packet loss rate data in the network data; wherein the network delay data characterizes the time taken to transmit data in the network; the network jitter data characterizes the degree of variation in the time taken to transmit data in the network; the network packet loss rate data characterizes a ratio of lost data to a total number of transmitted data in the transmitted data in a data transmission process.

In one example, the second determining unit includes:

A third determining module, configured to determine that, if the network indicator is determined to be greater than or equal to a first network indicator threshold and the network indicator is determined to be less than a second network indicator threshold, the image resolution in the image indicator is determined to be in a first preset threshold range, and determine that the image saturation in the image indicator is determined to be in a second preset threshold range;

and the fourth determining module is used for determining that the image resolution in the image index is in a third preset threshold range and determining that the image saturation in the image index is in a fourth preset threshold range if the network index is determined to be greater than or equal to a second network index threshold and the network index is smaller than a third network index threshold.

In one example, the apparatus further comprises:

the second acquisition unit is used for acquiring scene information of the target image acquisition equipment; the scene information is real-time scene information of a service scene where the target image acquisition equipment is located;

and a third determining unit, configured to determine the image index according to the scene information.

In one example, after the second obtaining unit is configured to obtain the scene information of the target image capturing device, the method further includes:

A fourth determining unit, configured to determine a network bandwidth according to the scene information; the network bandwidth is the network bandwidth of the network accessed by the target image acquisition equipment at present;

an allocation unit, configured to allocate network resources according to the network bandwidth; the network resource is used for providing a network for the target image acquisition equipment.

In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

the processor executes computer-executable instructions stored in the memory to perform the method of the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions for performing the method of the first aspect when executed by a processor.

In a fifth aspect, the present application provides a computer program product comprising: a computer program stored in a readable storage medium, from which it can be read by at least one processor of an electronic device, the at least one processor executing the computer program causing the electronic device to perform the method of the first aspect.

The method, the device and the equipment for adjusting the image processing parameters acquire network data of target image acquisition equipment; the network data are network data of a target network accessed by the target image acquisition equipment within a preset time period; determining network indexes according to the network data; wherein the network index characterizes the current network quality of the target network; determining an image index according to the network index; wherein, the image index characterizes the image quality of the image acquired by the target image acquisition equipment; adjusting image processing parameters of the target image acquisition equipment according to the image indexes; the image processing parameters are used for processing the image acquired by the target image acquisition equipment. According to the acquired network data accessed by the image acquisition equipment, the network environment where the current image acquisition equipment is located is determined, the image quality of the image which can be transmitted under the network environment is further determined, and according to the image quality, the image processing parameters of the current image acquisition equipment are further dynamically adjusted so as to adapt to the real-time requirement of a network side, and the image acquisition task is efficiently completed.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

Fig. 1 is a flowchart of a method for adjusting image processing parameters according to an embodiment of the present application;

fig. 2 is a flowchart of another method for adjusting image processing parameters according to an embodiment of the present application;

fig. 3 is a schematic structural view of an image capturing apparatus according to an exemplary embodiment;

fig. 4 is a schematic structural diagram of an apparatus for adjusting image processing parameters according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of another device for adjusting image processing parameters according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 7 is a block diagram of an electronic device, according to an example embodiment.

Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.

The application of the high-definition camera is very wide, and the high-definition camera can be applied to the traditional service fields, such as video monitoring, and can also be applied to the innovative service fields, such as industrial Internet. Under the 5G network access, the high-definition camera can be matched with an upper system and professional equipment to realize remote control, and the remote control can be applied to various scenes such as ports, workshops and even mines. In different business scenarios, the responsibilities assumed by the cameras at each angle or each position are different, so different image processing parameters need to be configured for the cameras.

In one example, the camera performs active image acquisition, and based on the positioning information extraction module, the position of the opposite end of the communication is judged by utilizing computer vision; based on the speed extraction module, judging the speeds of different mobile nodes, and firstly distributing the extracted data set to basic safety communication demand application; meanwhile, the control end is used as input information of control layer scene analysis, and is used for judging the current scene by combining wireless communication acquisition information, installing cameras with different configuration parameters according to different service scene requirements, and collecting images.

The application provides a method, a device and equipment for adjusting image processing parameters, and aims to solve the technical problems in the prior art.

The following describes the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

Fig. 1 is a flow chart of a method for adjusting image processing parameters according to an embodiment of the present application, as shown in fig. 1, where the method includes:

s101, acquiring network data of target image acquisition equipment; the network data are network data of a target network accessed by the target image acquisition equipment within a preset time period.

The execution body of the present embodiment may be an electronic device, or a server, or a terminal device, or other apparatus or device that may execute the present embodiment, for example. In this embodiment, the execution body is described as an electronic device.

In the image acquisition process, aiming at equipment for acquiring images, namely target image acquisition equipment, such as a high-definition camera, the equipment is connected with a network, the acquired images are transmitted to upper image receiving equipment through the network, network data of the target image acquisition equipment in a preset time period are acquired based on electronic equipment, and the network data of a target network accessed by the target image acquisition equipment in the preset time period are included for further processing.

In one example, the high-definition camera is connected with the upper system in a wireless mode, or is converged in a wired mode, then the image is transmitted to the upper system in a wireless mode, and network data of a network accessed by the high-definition camera in the near week is acquired from a network device for providing the network for the high-definition camera, and further processing is performed.

S102, determining network indexes according to network data; wherein the network indicator characterizes a current network quality of the target network.

For example, in order to confirm the network quality of the target network accessed by the current image acquisition device, it is necessary to calculate the network index of the current access network, and when the network index is larger, it is represented that the current network quality is poor, and the network environment is worse; conversely, when the value of the network index is smaller, the better the network quality is represented before, the better the network environment is; according to the acquired network data of the image acquisition equipment, based on the control module, the network data are calculated, so that the network index of the network accessed by the current image acquisition equipment can be obtained, and the current network quality of the network can be known.

S103, determining an image index according to the network index; wherein the image index characterizes the image quality of the image acquired by the target image acquisition device.

The method includes the steps of analyzing the current network quality of a network according to the calculated network index of the network accessed by the current image acquisition equipment, correspondingly determining the image index of an image transmitted by the current network, for example, the current network state is good, and transmitting a high-definition image, namely, confirming the image quality of the image acquired by the corresponding target image acquisition equipment, and correspondingly, further determining the image index of the image, for example, the image definition and the like based on a policy module according to the determined image quality.

S104, adjusting image processing parameters of the target image acquisition equipment according to the image indexes; the image processing parameters are used for processing the image acquired by the target image acquisition equipment.

Illustratively, after determining the image index of the image acquired by the target image acquisition device, the image index is sent to a parameter adjustment module of the target image acquisition device based on the control module, and the image processing parameter of the target image acquisition device is dynamically adjusted based on the parameter adjustment module according to the determined image index, and the image acquisition device processes the acquired image based on the adjusted image processing parameter.

In this embodiment, network data of a target image acquisition device is acquired; the network data are network data of a target network accessed by the target image acquisition equipment within a preset time period; determining network indexes according to the network data; wherein the network index characterizes the current network quality of the target network; determining an image index according to the network index; wherein, the image index characterizes the image quality of the image acquired by the target image acquisition equipment; adjusting image processing parameters of the target image acquisition equipment according to the image indexes; the image processing parameters are used for processing the image acquired by the target image acquisition equipment. According to the acquired network data accessed by the image acquisition equipment, the network environment where the current image acquisition equipment is located is determined, the image quality of the image which can be transmitted under the network environment is further determined, and according to the image quality, the image processing parameters of the current image acquisition equipment are further dynamically adjusted so as to adapt to the real-time requirement of a network side, and the image acquisition task is efficiently completed.

Fig. 2 is a flow chart of another method for processing reported data according to an embodiment of the present application, as shown in fig. 2, the method includes:

s201, generating message data and sending the message data to network equipment; the message data are detection data generated by the target image acquisition equipment; the message data is used for being processed to obtain processed message data; the network device is connected with the target image acquisition device.

In the image capturing process, for an image capturing device, i.e., a target image capturing device, such as a high-definition camera, the image capturing device may be connected to a network, the captured image is transmitted to an upper image receiving device through the network, in order to obtain current network data, the image capturing device may perform signaling interaction with the network device connected to the target image capturing device, based on an interaction module of the target image capturing device, probe data for interaction in a message form, i.e., message data, is generated, the message data is sent to the network device connected to the target image capturing device, communication is established with the network device, and the network device may perform error processing on the message data sent by the image capturing device and return the processed message data.

In one example, fig. 3 is a schematic structural diagram of an image capturing apparatus according to an exemplary embodiment, and as shown in fig. 3, the image capturing apparatus includes a lens device, a filtering device, a photosensitive device, an analog-to-digital conversion module, a digital signal processing DSP (Digital Signal Processing) module, a network communication module, a policy module, a control module, and an interaction module, where the lens device is a first device for acquiring image information on a service side of the apparatus, the filtering device is used to filter infrared light, the photosensitive device is used to convert an optical signal into an electrical signal, the analog-to-digital conversion module is used to convert an analog electrical signal into a digital electrical signal by sampling and modulating, the DSP module is a digital signal processing device, and is used to process and process an original digital signal, to change indicators such as sharpness, smoothness, and image saturation of image data, and the control module is used to complete scheduling and allocation of various resources in a signaling interaction manner, and coordinate information interaction between the modules; from the functional implementation point of view, the control module is a module for central and internal signaling parsing; from the connection relation, the control module is in a connection relation with almost all internal modules, the control module is logically connected with external network equipment through the interaction module and the network module, and the control module calculates and processes data in the process in the interaction process of different modules through the connection internal strategy module, maintains intermediate data, and calls and forwards the intermediate data in the subsequent session process; the interaction module performs signaling interaction with external network related devices such as a gateway, a base station and the like through the network communication module to acquire information such as network link state, network device resource occupancy rate and the like, the interaction signaling needs to adopt a message encapsulated in a specific format, carries a specific header to be different from service data, basic signaling data and the like, can be identified by the network device, and the network device can complete interaction of state information of both sides by encapsulating the state information into the specific message and returning the state information to the terminal device interaction module.

S202, receiving the processed message data sent by the network equipment.

The network device connected with the target image acquisition device returns the processed message data to the interaction end of the target image acquisition device, and receives the processed message data based on the interaction module to complete signaling interaction between the target image acquisition device and the network device.

S203, determining network data according to the message data and the processed message data.

In one example, the network data includes one or more of the following: network delay data, network jitter data, and network packet loss rate data.

In one example, step S203 includes the steps of:

step one of step S203, obtaining a message sending time and a message receiving time; the message sending time is the time when the target image acquisition equipment sends message data; the message receiving time is the time when the target image acquisition equipment receives the processed message data.

Step S203, determining network delay data and network jitter data in the network data according to the time difference information between the message sending time and the message receiving time; wherein the network delay data characterizes the time taken to transmit message data in the network; the network jitter data characterizes the extent of variation in the time taken to transmit message data in the network.

In one example, step S203 further includes the steps of:

step three of step 203, parse the message data, get the first message information after parsing; analyzing the processed message data to obtain analyzed second message information; the first message information is byte content configured in message data; the second message information is byte content configured in the processed message data;

step four of step 203, determining network packet loss rate data in the network data according to the first message information and the second message information; the network packet loss rate data represents the ratio of lost data in message data to the total number of the message data in the data transmission process.

The two data are analyzed and identified according to the message data sent by the target image acquisition equipment and the processed message data received by the target image acquisition equipment, and the network data of the network accessed by the target image acquisition equipment can be analyzed by comparing the two data, wherein the network data comprise network delay data, network jitter data and network packet loss rate data; so as to know the network status of the network accessed by the target image acquisition equipment.

Illustratively, according to the message data sent by the target image acquisition device and the processed message data received by the target image acquisition device, the two data are analyzed and identified, so that the time when the message data is sent by the target image acquisition device, namely the message sending time, and the time when the processed message data is received by the target image acquisition device, namely the message receiving time, can be obtained by analysis; according to the obtained message sending time and message receiving time, the time difference between the message sending time and the message receiving time, namely time difference information, is obtained, calculation processing is carried out according to the time difference to obtain the time used for transmitting the message data in the network, namely network time delay data in the network data, according to the time difference information, the time length of sending the message data and the time length of receiving the processed message data can be obtained, and the degree of change of the time used for transmitting the message data in the network, namely network jitter data in the network data is obtained through data processing calculation, so that the stability of the network is obtained.

Illustratively, according to the message data sent by the target image acquisition device and the processed message data received by the target image acquisition device, the message data sent by the target image acquisition device is analyzed and identified, so that byte content configured in the message data, namely first message information, can be obtained by analysis, and meanwhile, the processed message data received by the target image acquisition device is analyzed, so that byte content configured in the processed message data, namely second message information, can be obtained by analysis; and comparing the contents of the two message information according to the two message information obtained by analysis, obtaining the lost data part in the message data in the process of transmitting the message data through a network, calculating the ratio of the lost data in the message data to the total number of the message data in the process of transmitting the data, and obtaining the network packet loss rate data in the network data.

In one example, the method is implemented through signaling interaction and related computation between the device and the network side device, specifically, an interaction module constructs a specific message similar to keep-alive data packet, and inserts byte content with a specific length into the message, then the interaction module interacts with the network side device through the network module, and when the interaction module sends the message, information such as a timestamp is input into the message, and delay data of data transmission is computed according to the timestamp information at the moment. The network side equipment can identify the message, return the message, and identify the byte content with a specific length inserted before when receiving the message again, so as to obtain the packet loss rate data, thereby judging the network packet loss condition.

S204, determining network indexes according to network delay data, network jitter data and network packet loss rate data in the network data; wherein the network delay data characterizes the time taken to transmit data in the network; the network jitter data characterizes the degree of variation in the time taken to transmit data in the network; the network packet loss rate data characterizes the ratio of lost data to the total number of data transmitted in the data transmission process.

In one example, the network index q=d×w ₁ +L*w ₂ +J*w ₃ The method comprises the steps of carrying out a first treatment on the surface of the Wherein D is network delay data; l is network jitter data, J is network packet loss rate data, w ₁ Is a first threshold value, w ₂ Is a second threshold value, w ₃ Is a third threshold.

Exemplary, based on the network communication module, the target acquisition image performs signaling interaction with the external network related device to acquire network data, including time taken for transmitting data in the network, i.e. network delay data in the network data, and data of varying degrees of time taken for transmitting data in the network, i.e. network jitter data, and ratio data of lost data in the transmitted data to total transmitted data, i.e. network packet loss rate data, according to a preset mechanism, processing the data according to the following formula: network index q=d×w ₁ +L*w ₂ +J*w ₃ The network index of the network accessed by the target image acquisition equipment can be calculated, wherein D is network delay data; l is network jitter data, J is network packet loss rate data, w ₁ Is a first threshold value, w ₂ Is a second threshold value, w ₃ Is a third threshold, w ₁ 、w ₂ And w ₃ The values of (2) are also set by man.

After step S204, step S205 or step S206 may be performed.

S205, if the network index is determined to be greater than or equal to the first network index threshold and the network index is determined to be less than the second network index threshold, determining that the image resolution in the image index is in a first preset threshold range, and determining that the image saturation in the image index is in a second preset threshold range.

In one example, the image metrics include one or more of the following: image format, image resolution, image saturation.

For example, after step S204, in order to acquire an image meeting the requirement, an image index of the image needs to be determined, including an image format, an image resolution, and an image saturation, based on a policy module, the image resolutions in a plurality of preset threshold ranges are preset, corresponding to a first preset threshold range and a third preset threshold range, respectively, the sum image saturation in the plurality of preset threshold ranges is preset, corresponding to a second preset threshold range and a fourth preset threshold range, respectively, and different network index thresholds are preset, corresponding to the first network index threshold, the second network index threshold, and the third network index threshold, respectively, and comparing the network index with the preset first network index threshold, the second network index threshold, and the third network index threshold according to the calculated network index of the network accessed by the target image acquisition device, and if the network index is determined to be greater than or equal to the first network index threshold and the network index is less than the second network index threshold, determining the image resolution in the image index in the corresponding first preset threshold range, and simultaneously determining the image saturation in the corresponding second preset threshold range.

In one example, camera-adjustable parameters include resolution, saturation, etc., and the following parameters may be set accordingly, the image resolution includes: a1, a2, …, ai, …, an wherein a1 represents a first resolution, a2 represents a second resolution, …, ai represents an i-th resolution; wherein a1> a2> … > an, the image saturation comprises b1, b2, …, bi, …, bn, wherein b1 represents a first saturation, b2 represents a second saturation, …, bi represents an i-th saturation resolution; wherein b1> b2> … > bn; q represents the network environment outside the equipment, namely the network index, and when Q is larger, the network environment is represented to be worse; conversely, when the value of Q is smaller, the network environment is represented as better, and accordingly, thresholds such as Q1, Q2, …, qi, … Qn (Q1 < Q2< … Qi < … < Qn) and the following rules are set: when Q1< Q2, the resolution is set to the first resolution a1, and the saturation is set to the first saturation b1.

S206, if the network index is determined to be greater than or equal to the second network index threshold and the network index is determined to be less than the third network index threshold, determining that the image resolution in the image index is in a third preset threshold range, and determining that the image saturation in the image index is in a fourth preset threshold range.

Illustratively, after step S204, based on the policy module, image resolutions in a plurality of preset threshold ranges are preset, corresponding to a first preset threshold range and a third preset threshold range respectively, the sum image saturation in the plurality of preset threshold ranges is preset, corresponding to a second preset threshold range and a fourth preset threshold range respectively, different thresholds are preset, corresponding to the first network index threshold, the second network index threshold and the third network index threshold respectively, and according to the calculated network index of the network accessed by the target image acquisition device, the network index is compared with the preset first network index threshold, second network index threshold and third network index threshold, if the network index is determined to be greater than or equal to the second network index threshold and the network index is less than the third network index threshold, the image resolution in the image index is determined in the corresponding third preset threshold range, and at the same time, the image saturation in the image index is determined in the corresponding fourth preset threshold range.

In one example, camera-adjustable parameters include resolution, saturation, etc., and the following parameters may be set accordingly, the image resolution includes: a1, a2, …, ai, …, an wherein a1 represents a first resolution, a2 represents a second resolution, …, ai represents an i-th resolution; wherein a1> a2> … > an, the image saturation comprises b1, b2, …, bi, …, bn, wherein b1 represents a first saturation, b2 represents a second saturation, …, bi represents an i-th saturation resolution; wherein b1> b2> … > bn; q represents the network environment outside the equipment, namely the network index, and when Q is larger, the network environment is represented to be worse; conversely, when the value of Q is smaller, the network environment is represented as better, and accordingly, thresholds such as Q1, Q2, …, qi, … Qn (Q1 < Q2< … Qi < … < Qn) and the following rules are set: when Q2< Q3, the image resolution is set to the second resolution a2, and the image saturation is set to the second saturation b2.

S207, acquiring scene information of target image acquisition equipment; the scene information is real-time scene information of a business scene where the target image acquisition equipment is located.

In the image capturing process, for the device for capturing an image, i.e., the target image capturing device, such as a high-definition camera, the method is applied to different service scenes, and real-time scene information of the service scene where the target image capturing device is located is obtained according to the service scene.

In one example, the application scene is high-definition visual detection of an industrial machine tool based on information interaction between the interaction module and the upper layer system and knowledge of the information interaction, and the service scene has high definition requirements on images, or the interaction module is information interaction between the interaction module and the upper layer system and knowledge of the information interaction, and the application scene is regular monitoring of a non-safety area.

After step S207, step S208 or step S210 may be performed.

S208, determining an image index according to the scene information.

Illustratively, after step S207, according to the acquired scene information, an image index of the image acquired by the target pre-acquisition device, including image resolution, encoding format of the image, is determined based on the pre-cached scene information and the required image quality of the corresponding scene.

In one example, the interaction module performs information interaction with the upper layer system, and obtains that the application scene is high-definition visual detection of an industrial machine tool, the service scene has higher requirements on the definition of an image, and the coding format which can be identified by the client only has an Xvid format, at this time, the interaction module sends the information to the strategy module, and a 1080P resolution and Xvid coding format instruction is generated through the strategy module; or the interaction module performs information interaction with the upper layer system, and obtains that the application scene is the routine monitoring of the non-security area, the client side has no requirement on the coding format, and at the moment, the interaction module refines the requirement into low resolution and sends the low resolution to the strategy module through the control module.

S209, adjusting image processing parameters of the target image acquisition equipment according to the image indexes; the image processing parameters are used for processing the image acquired by the target image acquisition equipment.

For example, the content of this step may refer to step S104, which is not described herein.

S210, determining network bandwidth according to scene information; the network bandwidth is the network bandwidth of the network accessed by the current target image acquisition equipment.

Illustratively, after step S207, according to the acquired scene information, the network bandwidth of the network to which the current target image capturing device is connected is determined based on the pre-cached scene information and the network transmission quality required by the corresponding scene.

In one example, the interaction module performs information interaction with the upper layer system, and obtains that the application scene is high-definition visual detection of the industrial machine tool, the service scene has a larger requirement on network bandwidth, determines the corresponding network bandwidth, and interacts with the upper layer network device through related instructions based on the control module.

S211, distributing network resources according to the network bandwidth; the network resource is used for providing a network for the target image acquisition equipment.

The network resource corresponding to the network bandwidth is determined based on the control module according to the determined network bandwidth of the network accessed by the current target image acquisition equipment, and the guarantee of the communication bandwidth can be realized through technical means such as hardware resource reservation, soft isolation and slicing, so that the network is provided for the target image acquisition equipment.

In this embodiment, based on the foregoing embodiment, message data is generated and sent to a network device; the message data are detection data generated by the target image acquisition equipment; the message data is used for being processed to obtain processed message data; the network equipment is connected with the target image acquisition equipment; receiving processed message data sent by network equipment; determining network data according to the message data and the processed message data; determining network indexes according to network delay data, network jitter data and network packet loss rate data in the network data; wherein the network delay data characterizes the time taken to transmit data in the network; the network jitter data characterizes the degree of variation in the time taken to transmit data in the network; the network packet loss rate data represents the ratio of lost data to the total number of transmitted data in the data transmission process; if the network index is determined to be greater than or equal to the first network index threshold value and the network index is determined to be less than the second network index threshold value, determining that the image resolution in the image index is in a first preset threshold range, and determining that the image saturation in the image index is in a second preset threshold range; if the network index is determined to be greater than or equal to the second network index threshold and the network index is determined to be less than the third network index threshold, determining that the image resolution in the image index is in a third preset threshold range, and determining that the image saturation in the image index is in a fourth preset threshold range; acquiring scene information of target image acquisition equipment; the scene information is real-time scene information of a business scene where the target image acquisition equipment is located; determining an image index according to the scene information; determining network bandwidth according to the scene information; the network bandwidth is the network bandwidth of the network accessed by the current target image acquisition equipment; distributing network resources according to the network bandwidth; the network resource is used for providing a network for the target image acquisition equipment. On one hand, the current network state of the network is obtained by processing the network data of the acquired target network, and the parameters of the target image acquisition equipment are dynamically adjusted so as to improve the efficiency of image transmission; on the other hand, the current business scene information is acquired to determine the requirement of the current business scene on the image and the network requirement, and the parameters and the network resource of the target image acquisition equipment are dynamically adjusted to adapt to the business requirement which changes in real time.

Fig. 4 is a schematic structural diagram of an apparatus for adjusting image processing parameters according to an embodiment of the present application, as shown in fig. 4, the apparatus 300 includes:

a first acquiring unit 301, configured to acquire network data of a target image acquisition device; the network data are network data of a target network accessed by the target image acquisition equipment within a preset time period.

A first determining unit 302, configured to determine a network indicator according to network data; wherein the network indicator characterizes a current network quality of the target network.

A second determining unit 303, configured to determine an image index according to the network index; wherein the image index characterizes the image quality of the image acquired by the target image acquisition device.

An adjusting unit 304, configured to adjust an image processing parameter of the target image capturing device according to the image index; the image processing parameters are used for processing the image acquired by the target image acquisition equipment.

The device of the embodiment may execute the technical scheme in the above method, and the specific implementation process and the technical principle are the same and are not described herein again.

Fig. 5 is a schematic structural diagram of another apparatus for adjusting image processing parameters according to an embodiment of the present application, as shown in fig. 5, the apparatus 400 includes:

A first acquiring unit 401, configured to acquire network data of a target image acquisition device; the network data are network data of a target network accessed by the target image acquisition equipment within a preset time period.

A first determining unit 402, configured to determine a network indicator according to network data; wherein the network indicator characterizes a current network quality of the target network.

A second determining unit 403, configured to determine an image index according to the network index; wherein the image index characterizes the image quality of the image acquired by the target image acquisition device.

An adjusting unit 404, configured to adjust an image processing parameter of the target image capturing device according to the image index; the image processing parameters are used for processing the image acquired by the target image acquisition equipment.

In one example, the first obtaining unit 401 includes:

a generating module 4011, configured to generate message data.

A sending module 4012, configured to send the message data to the network device; the message data are detection data generated by the target image acquisition equipment; the message data is used for being processed to obtain processed message data; the network device is connected with the target image acquisition device.

A receiving module 4013, configured to receive the processed message data sent by the network device.

The first determining module 4014 is configured to determine network data according to the message data and the processed message data.

In one example, the first determining module 4014 comprises:

the acquisition sub-module is used for acquiring the message sending time and the message receiving time; the message sending time is the time when the target image acquisition equipment sends message data; the message receiving time is the time when the target image acquisition equipment receives the processed message data.

The first determining submodule is used for determining network delay data and network jitter data in the network data according to time difference information between the message sending time and the message receiving time; wherein the network delay data characterizes the time taken to transmit message data in the network; the network jitter data characterizes the extent of variation in the time taken to transmit message data in the network.

In one example, the first determining module 4014 further comprises:

the analysis sub-module is used for analyzing the message data to obtain analyzed first message information; analyzing the processed message data to obtain analyzed second message information; the first message information is byte content configured in message data; the second message information is byte content configured in the processed message data.

The second determining submodule is used for determining network packet loss rate data in the network data according to the first message information and the second message information; the network packet loss rate data represents the ratio of lost data in message data to the total number of the message data in the data transmission process.

In one example, the first determining unit 402 includes:

a second determining module 4021, configured to determine a network indicator according to network delay data, network jitter data, and network packet loss rate data in the network data; wherein the network delay data characterizes the time taken to transmit data in the network; the network jitter data characterizes the degree of variation in the time taken to transmit data in the network; the network packet loss rate data characterizes the ratio of lost data to the total number of data transmitted in the data transmission process.

In one example, the second determining unit 403 includes:

the third determining module 4031 is configured to determine that the image resolution in the image index is in the first preset threshold range and determine that the image saturation in the image index is in the second preset threshold range if the network index is determined to be greater than or equal to the first network index threshold and the network index is less than the second network index threshold.

The fourth determining module 4032 is configured to determine that the image resolution in the image index is in the third preset threshold range and determine that the image saturation in the image index is in the fourth preset threshold range if it is determined that the network index is greater than or equal to the second network index threshold and the network index is less than the third network index threshold.

In one example, the apparatus 400 further comprises:

a second acquiring unit 405, configured to acquire scene information of the target image capturing device; the scene information is real-time scene information of a business scene where the target image acquisition equipment is located.

A third determining unit 506, configured to determine an image index according to the scene information.

In one example, after the second obtaining unit 405 is used to obtain the scene information of the target image capturing device, the method further includes:

a fourth determining unit 407, configured to determine a network bandwidth according to the scene information; the network bandwidth is the network bandwidth of the network accessed by the current target image acquisition equipment.

An allocation unit 408, configured to allocate network resources according to the network bandwidth; the network resource is used for providing a network for the target image acquisition equipment.

Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 6, an electronic device 50 includes: a memory 51, a processor 52; a memory 51; a memory for storing instructions executable by processor 52.

Wherein the processor 52 is configured to perform the method as provided by the above-described embodiments.

The terminal device further comprises a receiver 53 and a transmitter 54. The receiver 53 is configured to receive instructions and data transmitted from other devices, and the transmitter 54 is configured to transmit instructions and data to external devices.

Fig. 7 is a block diagram of an electronic device, which may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like, in accordance with an exemplary embodiment.

The apparatus 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output interface 812, a sensor component 814, and a communication component 816.

The processing component 802 generally controls overall operation of the apparatus 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interactions between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to support operations at the apparatus 800. Examples of such data include instructions for any application or method operating on the device 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 may be implemented by any type or combination of volatile or nonvolatile memory devices such as static random access memory, electrically erasable programmable read only memory, magnetic memory, flash memory, magnetic or optical disk.

The power supply component 806 provides power to the various components of the device 800. The power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 800.

The multimedia component 808 includes a screen between the device 800 and the user that provides an output interface. In some embodiments, the screen may include a liquid crystal display and a touch panel. If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the apparatus 800 is in an operational mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a microphone configured to receive external audio signals when the device 800 is in an operational mode, such as a call mode, a recording mode, and a speech recognition mode. The received audio signals may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio assembly 88 further comprises a speaker for outputting audio signals.

Input/output interface 812 provides an interface between processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of the apparatus 800. For example, the sensor assembly 814 may detect an on/off state of the device 800, a relative positioning of the assemblies, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in position of the device 800 or one of the assemblies of the device 800, the presence or absence of user contact with the device 800, an orientation or acceleration/deceleration of the device 800, and a change in temperature of the device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include a light sensor for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to facilitate communication between the apparatus 800 and other devices, either in a wired or wireless manner. The apparatus 800 may access a wireless network based on a communication standard. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 816 further includes a near field communication module to facilitate short range communication. For example, the near field communication module may be implemented based on radio frequency identification technology, infrared data association technology, ultra wideband technology, bluetooth technology, and other technologies.

In an exemplary embodiment, the apparatus 800 may be implemented by one or more application specific integrated circuits, digital signal processors, digital signal processing devices, programmable logic devices, field programmable gate arrays, controllers, microcontrollers, microprocessors, or other electronic components for executing the methods described above.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 804 including instructions executable by processor 820 of apparatus 800 to perform the above-described method. For example, the non-transitory computer readable storage medium may be random access memory, magnetic tape, floppy disk, optical data storage device, and the like.

Embodiments of the present application also provide a non-transitory computer-readable storage medium that, when executed by a processor of an electronic device, enables the electronic device to perform the above-described method.

According to an embodiment of the present application, there is also provided a computer program product comprising: a computer program stored in a readable storage medium, from which at least one processor of an electronic device can read, the at least one processor executing the computer program causing the electronic device to perform the solution provided by any one of the embodiments described above.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A method of adjusting image processing parameters, the method comprising:

2. The method of claim 1, wherein acquiring network data of the target image acquisition device comprises:

receiving the processed message data sent by the network equipment;

3. The method of claim 2, wherein determining the network data from the message data and the processed message data comprises:

4. The method of claim 2, wherein determining the network data based on the message data and the processed message data, further comprises:

5. The method of claim 1, wherein determining a network metric from the network data comprises:

6. The method of claim 5, wherein the network indicator q=d×w ₁ +L*w ₂ J*w ₃ The method comprises the steps of carrying out a first treatment on the surface of the Wherein D is the network delay data; l is the network jitter data, J is the network packet loss rate data, w ₁ Is a first threshold value, w ₂ Is a second threshold value, w ₃ Is a third threshold.

7. The method of claim 1, wherein determining an image index from the network index comprises:

8. The method according to any one of claims 1-7, further comprising:

and determining the image index according to the scene information.

9. The method according to claim 8, further comprising, after acquiring the scene information of the target image capturing device:

10. The method of any of claims 1-7, wherein the network data comprises one or more of: network delay data, network jitter data and network packet loss rate data;

11. An apparatus for adjusting image processing parameters, the apparatus comprising:

12. The apparatus of claim 11, wherein the first acquisition unit comprises:

the generation module is used for generating message data;

13. The apparatus of claim 12, wherein the first determining module comprises:

14. The apparatus of claim 12, wherein the first determining module further comprises:

15. The apparatus of claim 11, wherein the first determining unit comprises:

16. The apparatus of claim 15, wherein the network indicator q=d×w ₁ +L*w ₂ J*w ₃ The method comprises the steps of carrying out a first treatment on the surface of the Wherein D is the network delay data; l is the network jitter data, J is the network packet loss rate data, w ₁ Is a first threshold value, w ₂ Is a second threshold value, w ₃ Is a third threshold.

17. The apparatus according to claim 11, wherein the second determining unit includes:

18. The apparatus according to any one of claims 11-17, wherein the apparatus further comprises:

19. The apparatus according to claim 18, further comprising, after the second acquisition unit is configured to acquire scene information of a target image capturing device:

20. The apparatus of any of claims 11-17, wherein the network data comprises one or more of: network delay data, network jitter data and network packet loss rate data;

21. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1-10.

22. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-10.