CN110381262B

CN110381262B - Rapid imaging type brightness measuring method and device and programmable imaging brightness meter

Info

Publication number: CN110381262B
Application number: CN201910592951.5A
Authority: CN
Inventors: 黄艳珊; 袁崇辉
Original assignee: Shenzhen Huaying Optoelectronic Technology Co ltd
Current assignee: Shenzhen Huaying Optoelectronic Technology Co ltd
Priority date: 2019-07-03
Filing date: 2019-07-03
Publication date: 2021-12-28
Anticipated expiration: 2039-07-03
Also published as: CN110381262A

Abstract

The application provides a rapid imaging brightness measuring method, a rapid imaging brightness measuring device and a programmable imaging brightness meter, wherein the method comprises the following steps: controlling a plurality of image acquisition devices to simultaneously acquire continuous images of the same target dynamic scene at the same acquisition frequency, wherein each image acquisition device adopts a global shutter, and the acquisition brightness ranges of at least two image acquisition devices are different; and respectively carrying out local HDR (high-resolution) synthesis processing on the images of the target scene acquired by the image acquisition devices at the same moment to obtain and locally store synthesized luminance images corresponding to the target dynamic scene at each moment, wherein each synthesized luminance image is used for representing the target luminance range of the scene corresponding to the acquisition moment. The method and the device can effectively realize the rapid imaging type brightness range measurement of the dynamic scene, can effectively improve the collection and processing efficiency of continuous images aiming at the dynamic scene, and further can improve the sampling rate, accuracy and fuzzification resistance of brightness data, and provide a higher real-time brightness dynamic range.

Description

Rapid imaging type brightness measuring method and device and programmable imaging brightness meter

Technical Field

The application relates to the technical field of imaging brightness measurement, in particular to a rapid imaging brightness measurement method and device and a programmable imaging brightness meter.

Background

For video recording type Dynamic measurement technology, in order to meet the requirements of High brightness contrast measurement in the field and environment, multiple exposure technology is generally adopted at present, multiple different exposure time measurements are sequentially adopted for the same scene, and then HDR synthesis is uniformly carried out to obtain a High Dynamic Range image, which is called an HDR (High Dynamic Range) mode. HDR is not only widely applied in the measurement industry, but also widely applied in consumer products, the functions are realized in the existing smart phones and digital cameras, and the dynamic range is expanded by time-sharing sampling.

In the video recording system dynamic measurement technology in the prior art, an imaging brightness meter is mostly adopted to record videos with low sampling frequency and low dynamic range. The sampling frequency is lower than 1fps and the effective dynamic range is lower than 3000: 1.

However, although the video recording type dynamic measurement technology in the prior art realizes dynamic measurement in the time dimension, an accurate brightness result cannot be obtained because the dynamic range of a single detector is limited; moreover, because the device and the measured object move at a relatively high speed, the measured image becomes fuzzy or deformed due to the jelly effect of the detector, and the result cannot assist related detection personnel to carry out accurate quantitative analysis and only can carry out preliminary qualitative judgment.

That is, the lack of sampling rate and dynamic range and the blurring of the measured image result in that the conventional device cannot perform dynamic measurement in the true sense at all, and the following requirements must be satisfied to implement dynamic measurement:

1. high single data acquisition dynamic range; 2. a high data sampling rate; 3. the measurement data is anti-fuzzified.

Disclosure of Invention

Aiming at the problems in the prior art, the application provides a rapid imaging brightness measurement method, a rapid imaging brightness measurement device and a programmable imaging brightness meter, which can effectively realize rapid imaging brightness range measurement of a dynamic scene, effectively improve the collection and processing efficiency of continuous images aiming at the dynamic scene, further improve the sampling rate, accuracy and anti-fuzzification capability of brightness data, and provide a higher real-time brightness dynamic range.

In order to solve the technical problem, the application provides the following technical scheme:

in a first aspect, the present application provides a fast imaging brightness measurement method, including:

controlling a plurality of image acquisition devices to acquire continuous images of the same target dynamic scene at the same time and at the same acquisition frequency, wherein each image acquisition device adopts a global shutter, and the acquisition brightness ranges of at least two image acquisition devices are different;

and performing local HDR (high-resolution) synthesis processing on images of a target scene acquired by the image acquisition devices at the same moment to obtain and locally store synthesized luminance images of the target dynamic scene corresponding to the moments, wherein each synthesized luminance image is used for representing a target luminance range of a scene corresponding to the acquisition moment.

Further, the local HDR synthesis processing of the images of the target scene acquired by the image acquisition devices at the same time includes:

and simultaneously acquiring images of the target scene acquired by each image acquisition device in the same area at the same time, and performing local HDR synthesis processing on the images of the target scene acquired by each image acquisition device at the same time in real time by using a local data processing unit.

Further, the obtaining and locally storing the synthesized luminance image of the target dynamic scene corresponding to each of the acquisition moments includes:

coding each synthesized brightness image according to the corresponding acquisition time to obtain a corresponding brightness video stream file, and locally storing the brightness video stream file by using a local data storage unit;

correspondingly, the fast imaging brightness measuring method further comprises the following steps:

and decoding the brightness video stream file to obtain the brightness distribution of the target dynamic scene at any moment.

Further, before the controlling the plurality of image capturing devices to simultaneously and continuously capture images of the same target dynamic scene at the same capturing frequency, the method further includes:

adjusting the setting parameters of each image acquisition device arranged in the same area with the image acquisition device to ensure that the difference of the acquisition brightness ranges of at least two image acquisition devices is greater than or equal to a preset difference value;

wherein the setting parameters include: at least one of exposure time, aperture size, and image gain parameters.

Further, still include:

acquiring a brightness data analysis program written by a user, and storing the brightness data analysis program into a corresponding user program storage area;

reading the brightness data analysis program from the user program storage area to obtain a corresponding brightness data processing mode, wherein the brightness data processing mode comprises: extracting the brightness of any position of a target scene, decoding a brightness video stream file, and analyzing brightness data to obtain at least one of a specific analysis result and an image processing result;

and performing corresponding processing on the synthesized brightness image of the target dynamic scene corresponding to each time point based on the brightness data processing mode.

Further, after the performing the corresponding processing on the synthesized luminance image of the target dynamic scene corresponding to each time point, the method further includes: and displaying the processing result of the synthesized luminance image, and/or sending the processing result of the synthesized luminance image to a corresponding user client.

In a second aspect, the present application provides a fast imaging luminance measuring apparatus, comprising:

the dynamic image acquisition module is used for controlling a plurality of image acquisition devices to acquire continuous images of the same target dynamic scene at the same time and at the same acquisition frequency, wherein each image acquisition device adopts a global shutter, and the acquisition brightness ranges of at least two image acquisition devices are different;

and the dynamic image processing module is used for performing local HDR (high-resolution) synthesis processing on images of a target scene acquired by the image acquisition devices at the same moment to obtain and locally store synthesized luminance images corresponding to the target dynamic scene at the moments, wherein the synthesized luminance images are used for representing target luminance ranges of scenes corresponding to the acquisition moments respectively.

In a third aspect, the present application provides a programmable imaging luminance meter comprising: the rapid imaging type brightness measuring device and the image acquisition devices are integrated with the rapid imaging type brightness measuring device;

the programmable imaging brightness meter is provided with a user program storage area and a program guide interface, the user program storage area is used for receiving a brightness data analysis program written by a user, the program guide interface is used for appointing an execution starting position and a writing mode of the user program, and if the rapid imaging brightness measuring device is internally provided with the user program matched with the program guide interface, the user program can be operated on the rapid imaging brightness measuring device.

In a fourth aspect, the present application provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the fast imaging brightness measurement method when executing the program.

In a fifth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the fast imaging luminance measurement method.

According to the technical scheme, the dynamic imaging brightness measuring method comprises the steps of controlling a plurality of image acquisition devices to acquire continuous images of the same target dynamic scene at the same time and at the same acquisition frequency, wherein the acquisition brightness ranges of at least two image acquisition devices are different; the HDR synthesis processing is carried out on the images of the target dynamic scene acquired by the image acquisition devices at the same moment, and the synthesized brightness images corresponding to the target dynamic scene at the moments are respectively obtained, wherein the synthesized brightness images are all used for displaying the target fast imaging brightness ranges at the respective corresponding moments, so that the fast imaging brightness range measurement of the dynamic scene can be effectively realized, the acquisition and processing efficiency of continuous images aiming at the dynamic scene can be effectively improved, the sampling rate, the accuracy and the anti-fuzzification capability of brightness data can be further improved, a higher real-time brightness dynamic range is further provided, and the accurate and reliable real-time brightness range measurement of the dynamic environment scene can be further realized in the measurement industry or consumer-grade product application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic structural diagram of a programmable imaging luminance meter according to the present application.

Fig. 2 is a schematic flow chart of a fast imaging brightness measurement method in the embodiment of the present application.

Fig. 3 is a schematic flowchart of step 201 and step 202 in the fast imaging brightness measurement method in the embodiment of the present application.

Fig. 4 is a flowchart illustrating a fast imaging brightness measurement method including step 300 according to an embodiment of the present invention.

Fig. 5 is a flowchart illustrating a fast imaging brightness measuring method including step 000 according to an embodiment of the present invention.

Fig. 6 is a schematic flowchart of steps 400 to 600 in the fast imaging brightness measurement method according to the embodiment of the present application.

Fig. 7 is a flowchart illustrating a fast imaging brightness measurement method including step 700 according to an embodiment of the present invention. Fig. 8 is a schematic structural diagram of a fast imaging brightness measuring apparatus in an embodiment of the present application.

Fig. 9 is a schematic structural diagram of a fast imaging brightness measuring apparatus including a decoding module 30 according to an embodiment of the present application.

Fig. 10 is a schematic structural diagram of a fast imaging brightness measuring apparatus including a parameter setting module 00 according to an embodiment of the present application.

Fig. 11 is a schematic structural diagram of a user program loading module 40, a processing mode obtaining module 50, and an analysis module 60 in the fast imaging brightness measurement apparatus in the embodiment of the present application.

Fig. 12 is a schematic structural diagram of a fast imaging brightness measuring apparatus including a processing result output module 70 according to an embodiment of the present application.

Fig. 13 is a logic diagram of the method for implementing the fast imaging brightness measurement by using the imaging brightness meter in the application example of the present application.

Fig. 14 is a schematic structural diagram of an electronic device in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In consideration of the problem that conventional equipment cannot perform real dynamic measurement at all due to the defects of sampling rate and dynamic range in the existing video recording type dynamic measurement technology, the application provides a rapid imaging type brightness measurement method, a rapid imaging type brightness measurement device, a programmable imaging brightness meter, electronic equipment and a computer readable storage medium, wherein a plurality of image acquisition devices are controlled to perform continuous image acquisition on the same target dynamic scene at the same time and at the same acquisition frequency, wherein each image acquisition device adopts a global shutter, and the acquisition brightness ranges of at least two image acquisition devices are different; the method comprises the steps of carrying out local HDR synthesis processing on images of a target scene acquired by each image acquisition device at the same moment, and respectively obtaining and locally storing synthesized brightness images of the target dynamic scene corresponding to each moment, wherein each synthesized brightness image is used for displaying the brightness range of the scene corresponding to each moment, so that the rapid imaging brightness range measurement of the dynamic scene can be effectively realized, the acquisition and processing efficiency of continuous images aiming at the dynamic scene can be effectively improved, the sampling rate, the accuracy and the anti-fuzzification capability of brightness data can be further improved, a higher real-time brightness dynamic range is further provided, and the accurate and reliable real-time brightness range measurement of the dynamic environment scene can be further realized in the measurement industry or consumer-grade product application.

In one or more embodiments of the present application, the image capturing device is a device for capturing an image of a corresponding scene, such as a video camera and other devices with a photoelectric imaging function, such as an image sensor like a CCD, a CMOS, etc.

In one or more embodiments of the present application, the target dynamic scene is a same dynamic scene captured by a plurality of image capturing devices disposed in a same area. Specifically, the image capturing lenses of the image capturing devices in the same area are all set in advance to correspond to the same capturing direction, that is, the image capturing devices in the same area capture the same dynamic scene from multiple angles.

In one or more embodiments of the present application, the HDR synthesis process is: screening a plurality of image data of the same scene, discarding invalid data or selecting optimal data from the plurality of valid data for use, and finally obtaining image data in a higher brightness range. Correspondingly, the synthesized luminance image is an image obtained through the HDR synthesis process, and the image may display the luminance of the target scene at the corresponding time in a luminance marker manner.

Based on the above, the present application further provides a fast imaging brightness measuring apparatus, which may specifically be a processor a1, see fig. 1, where the processor a1 is disposed in a programmable imaging brightness meter B1, and may be integrated with a plurality of image capturing devices C1. Wherein the user can directly operate the programmable imaging luminance meter B1. The processor A1 controls a plurality of image acquisition devices to acquire continuous images of the same target dynamic scene at the same time and at the same acquisition frequency, wherein each image acquisition device adopts a global shutter, and the acquisition brightness ranges of at least two image acquisition devices are different; and performing local HDR synthesis processing on images of the target scene acquired by the image acquisition devices at the same moment, and respectively obtaining and locally storing synthesized luminance images of the target dynamic scene corresponding to the moments, wherein the synthesized luminance images are used for displaying luminance ranges of the scenes at the corresponding moments.

On the basis of the above, the programmable imaging luminance meter B1 may further be provided with an API interface, a user uses the API interface provided by the programmable imaging luminance meter B1 to write a luminance data analysis program, and the processor a1 executes the analysis program and displays or outputs the analysis result through the user interface.

In addition, the programmable imaging luminance meter B1 may be communicatively connected to at least one client device, and send the processing result of the composite luminance image to the corresponding client device.

It is understood that the client devices may include smart phones, tablet electronic devices, network set-top boxes, portable computers, desktop computers, Personal Digital Assistants (PDAs), in-vehicle devices, smart wearable devices, and the like. Wherein, intelligence wearing equipment can include intelligent glasses, intelligent wrist-watch, intelligent bracelet etc..

Based on the content, the method and the device can effectively realize the rapid imaging brightness measurement of the dynamic scene, can effectively realize the rapid imaging brightness range measurement of the dynamic scene, can effectively improve the acquisition and processing efficiency of continuous images aiming at the dynamic scene, can further improve the sampling rate, the accuracy and the anti-fuzzification capability of brightness data, provide a higher real-time brightness dynamic range, and can further realize the accurate and reliable real-time brightness range measurement of the dynamic environment scene in the measurement industry or consumer-grade product application. The following embodiments and application examples are specifically described.

The present application provides an embodiment of a fast imaging brightness measurement method with an execution subject being a processor, and referring to fig. 2, the fast imaging brightness measurement method specifically includes the following contents:

step 100: the method comprises the steps of controlling a plurality of image acquisition devices to simultaneously acquire continuous images of the same target dynamic scene at the same acquisition frequency, wherein each image acquisition device adopts a global shutter, and the acquisition brightness ranges of at least two image acquisition devices are different.

It can be understood that the accuracy and reliability of the continuous image brightness measurement result for a dynamic scene can be effectively improved by applying a plurality of image acquisition devices to acquire continuous images of the same target dynamic scene at the same time and at the same acquisition frequency, and a higher brightness dynamic range can be provided by the difference of the acquisition brightness ranges of at least two image acquisition devices.

The programmable imaging luminance meter applies the global shutter image sensor, can quickly complete instantaneous photoelectric conversion of the whole measuring scene, and avoids image jelly effect caused by line-by-line photoelectric conversion of the rolling shutter image sensor. Synchronous real-time data acquisition and storage are adopted, and an image sensor with a surface type brightness measurement function is applied to the brightness measurement of a dynamic scene.

Step 200: and performing local HDR (high-resolution) synthesis processing on images of a target scene acquired by the image acquisition devices at the same moment to obtain and locally store synthesized luminance images of the target dynamic scene corresponding to the moments, wherein each synthesized luminance image is used for representing a target luminance range of a scene corresponding to the acquisition moment.

According to the principle that a high-speed moving object is static relative to a measuring device at a certain specific moment, the image acquisition devices acquire a certain static scene in the same target dynamic scene at the same moment, and the static scene is the target scene in one or more embodiments of the application.

In step 200, the processor may control the local data processing unit disposed in the same programmable imaging luminance meter to perform local HDR synthesis processing on the image of the target scene acquired by each of the image acquisition devices at the same time, and control the local data storage unit disposed in the same programmable imaging luminance meter to perform local storage on the synthesized luminance image of the target dynamic scene corresponding to each of the times, that is, the fast imaging luminance measurement method provided in the embodiment of the present application adopts a mode of multi-device separate measurement of high and low luminance, using the global fast image sensor, the system-owned data storage unit, the system may perform real-time data analysis, the luminance data may be stored in a video stream format, supporting the running of a user script program, and the like, and may effectively implement fast imaging luminance range measurement of the dynamic scene, and may effectively improve acquisition of continuous images of the dynamic scene, The processing efficiency, the sampling rate, the accuracy and the anti-fuzzification capability of the brightness data can be further improved, and a higher real-time brightness dynamic range is provided.

In order to further increase the sampling rate of the luminance data, in an embodiment of the fast imaging luminance measuring method implemented by taking the main subject as the processor provided by the present application, referring to fig. 3, the step 200 of the fast imaging luminance measuring method specifically includes the following contents:

step 201: and simultaneously acquiring images of the target scene acquired by each image acquisition device in the same area at the same time, and performing local HDR synthesis processing on the images of the target scene acquired by each image acquisition device at the same time in real time by using a local data processing unit.

Based on this, the rapid imaging brightness measurement method provided in the embodiment of the present application can obtain images of a target dynamic scene acquired by each image acquisition device in parallel on the basis of improving accuracy and reliability of a continuous image brightness measurement result for the dynamic scene, and directly perform HDR synthesis processing on acquired image data, without transmitting data to a client or a PC for image processing, thereby effectively improving the measurement efficiency of the rapid imaging brightness meter.

In order to further increase the sampling rate of the luminance data, in the embodiment of the fast imaging luminance measuring method implemented by taking the main subject as the processor provided by the present application, referring to fig. 3, the step 200 of the fast imaging luminance measuring method specifically includes the following contents:

step 202: and coding each synthesized brightness image according to the corresponding acquisition time to obtain a corresponding brightness video stream file, and locally storing the brightness video stream file by using a local data storage unit.

It can be understood that the processor compresses and stores the finally processed effective brightness data in a brightness stream file manner, so as to facilitate data storage and transmission. Based on this, the rapid imaging brightness measurement method provided by the embodiment of the application can effectively improve the brightness image processing and storage efficiency.

Based on the above step 202, referring to fig. 4, the following steps are further included after the step 202 of the fast imaging brightness measurement method:

step 300: and decoding the brightness video stream file to obtain the brightness distribution of the target dynamic scene at any moment.

In order to further improve the accuracy and reliability of the brightness measurement result of the continuous images for the dynamic scene, in an embodiment of the present application, referring to fig. 5, the step 100 of the fast imaging brightness measurement method further includes the following steps:

step 000: adjusting the setting parameters of each image acquisition device arranged in the same area with the image acquisition device to ensure that the difference of the acquisition brightness ranges of at least two image acquisition devices is greater than or equal to a preset difference value;

In addition, in order to further realize the functions of the imaging luminance meter in manners of programming and supporting the running of a user script program and the like on the basis of improving the accuracy and reliability of the continuous image luminance measurement result for a dynamic scene, so as to further improve the measurement efficiency, in an embodiment of the rapid imaging luminance measurement method of the present application, referring to fig. 6, the rapid imaging luminance measurement method further specifically includes the following contents:

step 400: and acquiring a brightness data analysis program written by a user, and storing the brightness data analysis program into a corresponding user program storage area.

Step 500: reading the brightness data analysis program from the user program storage area to obtain a corresponding brightness data processing mode, wherein the brightness data processing mode comprises: and performing at least one of extraction on the brightness of any position of the target scene, decoding a brightness video stream file, and analyzing by applying brightness data to obtain a specific analysis result and an image processing result.

That is, the fast imaging brightness measurement method processes the obtained brightness image, and the specific processing mode depends on the processing logic of the client, such as user-level Script (Script) logic, and the fast imaging brightness measurement method outputs the final result or control signal processed by the user Script program, instead of the traditional camera grayscale data.

Step 600: and performing corresponding processing on the synthesized brightness image of the target dynamic scene corresponding to each time point based on the brightness data processing mode.

In order to further increase the intelligence of the imaging brightness measurement based on the improvement of the measurement efficiency, in an embodiment of the present application, referring to fig. 7, after step 600 in the fast imaging brightness measurement method, the following may be further included:

step 700: and displaying the processing result of the synthesized luminance image, and/or sending the processing result of the synthesized luminance image to a corresponding user client.

The method aims at the problems that a rolling shutter type imaging sensor is used in the existing imaging brightness meter, jelly effect can occur inevitably when a rolling shutter camera is used for dynamic measurement, and therefore the rolling shutter type imaging sensor is used for determining that equipment can only perform static measurement, and the jelly effect can cause distortion of a measured object when the rolling shutter type imaging sensor is used for dynamic measurement.

In addition, in an embodiment of the fast imaging brightness measuring method of the present application, a hardware triggering method is provided, and before step 100, the following is further included:

receiving a hardware trigger instruction;

controlling a plurality of image acquisition devices to acquire continuous images of the same target dynamic scene at the same time and at the same acquisition frequency according to the hardware trigger instruction;

correspondingly, the rapid imaging brightness measurement method further specifically comprises the following steps:

a hardware shutdown instruction is received.

And controlling each image acquisition device to stop image acquisition according to the hardware closing instruction.

In an embodiment of the fast imaging brightness measuring method of the present application, a software triggering method is provided, and before step 100, the following is further included:

the instructions such as image acquisition and acquisition frequency sent by the client are not required to be received, and for a certain specific scene, the user can simplify the design by programming the brightness meter and improve the efficiency at the same time.

And controlling a plurality of image acquisition devices to simultaneously acquire continuous images of the same target dynamic scene at the acquisition frequency in the image acquisition instruction according to the image acquisition instruction.

Correspondingly, the method for measuring the brightness range of the dynamic scene further specifically comprises the following steps:

if the image acquisition instruction further comprises a preset acquisition time length, controlling each image acquisition device to stop image acquisition after the acquisition time length of each image acquisition device reaches the preset acquisition time length, or controlling each image acquisition device to stop image acquisition if an acquisition stop instruction sent by a client is received.

As can be seen from the above description, the fast imaging brightness measurement method provided in the embodiment of the present application can obtain images of a target dynamic scene acquired by each image acquisition device in parallel on the basis of improving accuracy and reliability of a continuous image brightness measurement result for the dynamic scene, and directly perform HDR synthesis processing on acquired image data, without transmitting the image data to a client or a PC for image processing, so as to effectively improve measurement efficiency of a fast imaging brightness range; the system can also acquire images of target dynamic scenes acquired by the image acquisition devices in parallel, and directly perform HDR synthesis processing on the acquired image data without transmitting the image data to a client or a PC (personal computer) terminal for image processing, so that the measurement efficiency of the rapid imaging type brightness range can be effectively improved; the transmission efficiency of the image processing result can be effectively improved; the intelligent degree of the rapid imaging type brightness measuring method can be further improved; the jelly effect can be effectively avoided when the high-speed shooting is carried out, and the accuracy and the reliability of the continuous image brightness measuring result aiming at the dynamic scene are further improved.

In order to effectively achieve fast imaging brightness range measurement of a dynamic scene, effectively improve acquisition and processing efficiency of continuous images for the dynamic scene, further improve sampling rate, accuracy and anti-fuzzification capability of brightness data, and provide a higher real-time brightness dynamic range, and further achieve accurate and reliable real-time brightness range measurement of a dynamic environment scene in a measurement industry or consumer product application, the present application provides an embodiment of a fast imaging brightness measurement apparatus for executing all or part of contents in the fast imaging brightness measurement method, referring to fig. 8, the fast imaging brightness measurement apparatus specifically includes the following contents:

the dynamic image acquisition module 10 is configured to control multiple image acquisition devices to perform continuous image acquisition on the same target dynamic scene at the same time and at the same acquisition frequency, where each image acquisition device employs a global shutter, and the acquisition brightness ranges of at least two image acquisition devices are different.

The dynamic image processing module 20 is configured to perform local HDR synthesis processing on images of a target scene acquired by the image acquisition devices at the same time to obtain and locally store synthesized luminance images corresponding to the target dynamic scene at the respective times, where the respective synthesized luminance images are used to represent target luminance ranges of scenes corresponding to the respective acquisition times.

In order to further increase the sampling rate of the luminance data, in an embodiment of the fast imaging luminance measuring apparatus provided in the present application, the dynamic image processing module 20 of the fast imaging luminance measuring apparatus specifically includes the following contents:

the HDR synthesis unit 21 is configured to simultaneously acquire images of a target scene acquired at the same time by image acquisition devices arranged in the same area, and perform local HDR synthesis processing on the images of the target scene acquired at the same time by the image acquisition devices in real time by using a local data processing unit.

Based on this, the rapid imaging brightness measurement device provided in the embodiment of the present application can obtain images of a target dynamic scene acquired by each image acquisition device in parallel on the basis of improving accuracy and reliability of a continuous image brightness measurement result for the dynamic scene, and directly perform HDR synthesis processing on acquired image data, without transmitting the image data to a client or a PC for image processing, thereby effectively improving measurement efficiency of a rapid imaging brightness range.

In order to further increase the sampling rate of the luminance data, in an embodiment of the fast imaging luminance measuring apparatus provided in the present application, the dynamic image processing module 20 of the fast imaging luminance measuring apparatus further includes the following contents:

and the encoding module 22 is configured to perform encoding processing on each synthesized luminance image according to the corresponding acquisition time to obtain a corresponding luminance video stream file, and apply a local data storage unit to locally store the luminance video stream file.

Based on the encoding module 22, referring to fig. 9, the fast imaging brightness measuring apparatus further includes the following components:

and the decoding module 30 is configured to decode the luminance video stream file to obtain the luminance distribution of the target dynamic scene at any time.

It can be understood that the processor compresses and stores the finally processed effective brightness data in a streaming file manner, so that data storage and transmission are facilitated. Based on this, the rapid imaging type brightness measuring device provided by the embodiment of the application can effectively improve the transmission efficiency of the image processing result.

In order to further improve the accuracy and reliability of the brightness measurement result of the continuous images for the dynamic scene, in an embodiment of the present application, referring to fig. 10, the fast imaging brightness measurement apparatus further includes the following components:

the parameter setting module 00 is configured to adjust setting parameters of each image acquisition device that is set in the same area as the parameter setting module, so that a difference between acquisition luminance ranges of at least two image acquisition devices is greater than or equal to a preset difference;

In addition, in order to further improve the intelligence degree of the fast imaging brightness measuring apparatus on the basis of improving the accuracy and reliability of the brightness measurement result of the continuous images of the dynamic scene, in an embodiment of the fast imaging brightness measuring apparatus of the present application, referring to fig. 11, the fast imaging brightness measuring apparatus further includes the following contents:

the user program loading module 40 obtains the brightness data analysis program written by the user and stores the brightness data analysis program into the corresponding user program storage area. That is, the system is provided with a user program storage area and a program guide interface for storing a brightness data analysis program written by a user, and the program guide is operated in a mode appointed by the system API.

It is understood that the preset image processing method may specifically include at least one of a brightness label and a preset data analysis, and may further include other contents.

And a processing mode obtaining module 50, configured to read the luminance data analysis program from the user program storage area to obtain a corresponding luminance data processing mode.

It can be understood that the luminance data processing manner includes: and performing at least one of extraction on the brightness of any position of the target scene, decoding a brightness video stream file, and analyzing by applying brightness data to obtain a specific analysis result and an image processing result.

That is, the fast imaging brightness measurement method processes the obtained brightness image, and the specific processing mode depends on the processing logic of the client, such as the user-level script logic, and the fast imaging brightness measurement method outputs the final result or control signal processed by the user script program, instead of the traditional camera gray scale data.

And the analysis module 60 is configured to perform corresponding processing on the synthesized luminance image of the target dynamic scene corresponding to each time based on the luminance data processing manner.

The utility model discloses a quick imaging brightness measuring device's of this application embodiment, each among the quick imaging brightness measuring device image acquisition device all adopts global shutter, and then can effectively avoid the jelly effect to appear, and then further improve accuracy and the reliability to the continuous image brightness measuring result of dynamic scene.

In order to further increase the intelligence of the imaging brightness measurement based on the improvement of the measurement efficiency, in an embodiment of the present application, referring to fig. 12, the fast imaging brightness measurement apparatus may further include the following components:

and a processing result output module 70, configured to display a processing result of the synthesized luminance image, and/or send the processing result of the synthesized luminance image to a corresponding user client.

As can be seen from the above description, the rapid imaging luminance measurement apparatus provided in the embodiment of the present application can obtain images of a target dynamic scene acquired by each image acquisition apparatus in parallel on the basis of improving accuracy and reliability of a continuous image luminance measurement result for the dynamic scene, and directly perform HDR synthesis processing on acquired image data, without transmitting the image data to a client or a PC for image processing, so as to effectively improve measurement efficiency of a rapid imaging luminance range; the transmission efficiency of the image processing result can be effectively improved; the intelligent degree of the rapid imaging type brightness measuring method can be further improved; the jelly effect can be effectively avoided when the high-speed shooting is carried out, and the accuracy and the reliability of the continuous image brightness measuring result aiming at the dynamic scene are further improved.

In order to effectively realize the measurement of the rapid imaging brightness range of a dynamic scene, and effectively improve the acquisition and processing efficiency of continuous images for the dynamic scene, and further improve the sampling rate, accuracy and anti-fuzzification capability of brightness data, and provide a higher real-time brightness dynamic range, and further can realize the accurate and reliable real-time brightness range measurement of a dynamic environment scene in the measurement industry or consumer-grade product application, the application provides an embodiment of an imaging brightness meter comprising the rapid imaging brightness measurement device, the imaging brightness meter specifically comprises the following contents:

the system comprises a rapid imaging brightness measuring device and a plurality of image acquisition devices integrated with the rapid imaging brightness measuring device, wherein a user program storage area and a program guide interface are arranged in a programmable imaging brightness meter, the user program storage area is used for receiving a brightness data analysis program written by a user, the program guide interface is used for appointing an execution starting position and a writing mode of a user program, and if the rapid imaging brightness measuring device is internally provided with the user program matched with the program guide interface, the user program can be operated on the rapid imaging brightness measuring device.

As can be seen from the above description, the imaging luminance meter provided in the embodiment of the present application can obtain images of a target dynamic scene acquired by each image acquisition device in parallel on the basis of improving accuracy and reliability of a continuous image luminance measurement result for the dynamic scene, and directly perform HDR synthesis processing on the acquired image data, without transmitting the image data to a client or a PC for image processing, thereby effectively improving the measurement efficiency of a fast imaging luminance range; the transmission efficiency of the image processing result can be effectively improved; the intelligent degree of the rapid imaging type brightness measuring method can be further improved; the jelly effect can be effectively avoided when the high-speed shooting is carried out, and the accuracy and the reliability of the continuous image brightness measuring result aiming at the dynamic scene are further improved.

In order to further explain the present solution, referring to fig. 13, the present application further provides a specific application example of implementing the fast imaging brightness measurement method by using the imaging brightness meter, which is specifically as follows:

the application example aims to fill the blank of the current dynamic brightness measurement system, realize the high dynamic range dynamic measurement of the changing scene and the environmental illumination parameters, improve the measurement efficiency and simplify the system integration. In order to solve the problem that the brightness of scenes with large brightness contrast and dynamic change such as tunnels cannot be measured quickly and accurately, a plurality of (two or more) imaging brightness meters are adopted for synchronous sampling, high-speed HDR synthesis, real-time local data storage and the like.

S1: synchronously acquiring images of the same dynamic scene A by multiple devices at the same frequency; the consistency of measurement starting time points is guaranteed by the multiple cameras through a hardware triggering mode at the same time, and low-brightness range sampling of at least one camera and high-brightness range sampling of at least one camera are achieved by controlling exposure time, aperture and image gain of different cameras.

S2: the processing unit receives a plurality of images of the same scene collected at the same time t1 and sent by each device in real time; an embedded image processing system is integrated in the brightness meter, parallel receiving of different camera data at the same time is achieved, the gray data of each independent camera is screened point by point in a hardware acceleration mode, and middle brightness data with a higher dynamic range are obtained by using an HDR synthesis algorithm.

The most advantage of the image processing system unit integrated in the luminance meter is that the original data can be processed and screened in real time, the data does not need to be transmitted to the PC terminal like the prior art, and the PC terminal analysis software eliminates invalid luminance data according to the synthesis algorithm.

S3: HDR composition is performed on a plurality of images of the same scene I at the same time t 1.

S4: the luminance meter supports processing of luminance images obtained from a scene, a specific processing mode depends on user-level script logic, and the luminance meter outputs 1 to be a final result or a control signal processed by a user script program instead of traditional camera gray data.

S5: screening a plurality of image gray value ranges at the same time point by point, namely screening optimal values point by using different gray values of the same target point of cameras at different positions; further obtaining a reasonably exposed image; the programmable luminance meter stores the luminance image synthesized by the HDR at a high speed in a video-like encoding mode, the system supports the encoding and decoding processes of luminance data, and the luminance image corresponding to a scene can be obtained by sequentially restoring the decoded final data file.

S6: aiming at each brightness image after HDR synthesis, a built-in algorithm or a user editing analysis logic is applied to obtain a corresponding analysis result, and then a system output interface is called to realize the output or display of the analysis result.

S7: returning to S2, S3-S6 are repeated until reasonably exposed images, i.e., composite luminance images, of the target dynamic scene are obtained at all times within the preset period.

S8: and sequentially coding the images at all times according to the shooting time to obtain corresponding video streams, wherein the brightness video streams are the compressed storage of all effective brightness data after the final scene processing in a streaming file manner, so that the data storage and transmission are facilitated. And meanwhile, the brightness video stream can be decoded to extract brightness data of a corresponding scene, and a user can analyze and process the data.

As can be seen from the above description, the method for implementing the fast imaging brightness measurement by using the imaging brightness meter provided in the application example of the present application adopts the modes of simultaneous sampling, high-speed HDR synthesis, and real-time local data storage by using multiple (two or more) imaging brightness meters, and has the following technical innovation points:

1. multiple imaging brightness meters work simultaneously to replace multiple exposures of a single imaging brightness meter, and transient measurement time is taken, so that shorter single measurement time and higher brightness dynamic range are realized. The initial serial measurement process is converted into the parallel measurement process, the single measurement time is greatly shortened, and the dynamic range of the single measurement brightness is greatly improved by respectively measuring low brightness and high brightness through different cameras.

2. And a global shutter image sensor is adopted, so that the jelly effect caused by the relatively rapid movement of the luminance meter and the measured object in the dynamic measurement process is avoided.

3. The luminance meter host with the integrated data analysis function is adopted, in order to further improve the sampling frame rate of the luminance meter, the system adopts a fusion framework of a sampling camera and a data processing system, the intermediate data transmission process in the traditional mode is removed, and the data transmission time is shortened, so that the dynamic sampling rate is improved.

4. The system allows a user to run a user-customized data processing and analyzing logic script file, realizes that the brightness meter directly outputs a user analysis result, and simplifies the system integration process.

In order to effectively implement fast imaging brightness measurement of a dynamic scene, effectively improve the accuracy and reliability of a continuous image brightness measurement result for the dynamic scene, and provide a higher brightness dynamic range, an embodiment of the present application further provides a specific implementation manner of an electronic device that can implement all steps in the fast imaging brightness measurement method in the foregoing embodiment, and referring to fig. 14, the electronic device specifically includes the following contents:

a processor (processor)601, a memory (memory)602, a communication Interface (Communications Interface)603, and a bus 604;

the processor 601, the memory 602 and the communication interface 603 complete mutual communication through the bus 604; the communication interface 603 is used for realizing information transmission among the rapid imaging brightness measuring device, the client terminal, the image acquisition device and other participating devices;

the processor 601 is configured to call a computer program in the memory 602, and the processor implements all the steps in the fast imaging brightness measurement method in the above embodiments when executing the computer program, for example, the processor implements the following steps when executing the computer program:

As can be seen from the above description, the electronic device provided in the embodiment of the present application can obtain images of a target dynamic scene acquired by each image acquisition device in parallel on the basis of improving accuracy and reliability of a continuous image brightness measurement result for the dynamic scene, and directly perform HDR synthesis processing on acquired image data, without transmitting the image data to a client or a PC for image processing, so as to effectively improve measurement efficiency of a fast imaging brightness range; the transmission efficiency of the image processing result can be effectively improved; the intelligent degree of the rapid imaging type brightness measuring method can be further improved; the jelly effect can be effectively avoided when the high-speed shooting is carried out, and the accuracy and the reliability of the continuous image brightness measuring result aiming at the dynamic scene are further improved.

Embodiments of the present application further provide a computer-readable storage medium capable of implementing all steps in the fast imaging brightness measurement method in the foregoing embodiments, where the computer-readable storage medium stores thereon a computer program, and when the computer program is executed by a processor, the computer program implements all steps of the fast imaging brightness measurement method in the foregoing embodiments, for example, when the processor executes the computer program, the processor implements the following steps:

As can be seen from the above description, the computer-readable storage medium provided in the embodiment of the present application can obtain, on the basis of improving the accuracy and reliability of the continuous image brightness measurement result for a dynamic scene, images of a target dynamic scene acquired by each image acquisition device in parallel, and directly perform HDR synthesis processing on the acquired image data, without transmitting the image data to a client or a PC for image processing, so as to effectively improve the measurement efficiency of a fast imaging brightness range; the transmission efficiency of the image processing result can be effectively improved; the intelligent degree of the rapid imaging type brightness measuring method can be further improved; the jelly effect can be effectively avoided when the high-speed shooting is carried out, and the accuracy and the reliability of the continuous image brightness measuring result aiming at the dynamic scene are further improved.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on conventional or non-inventive efforts. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

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.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.

The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.

Claims

1. A fast imaging brightness measuring method is characterized in that the fast imaging brightness measuring method is realized by a fast imaging brightness measuring device which is arranged in a programmable imaging brightness meter, and the fast imaging brightness measuring method comprises the following steps:

wherein the setting parameters include: at least one of exposure time, aperture size, and image gain parameters;

simultaneously acquiring images of a target scene acquired by each image acquisition device in the same area at the same time, performing local HDR (high-speed dynamic range) synthesis processing on the images of the target scene acquired by each image acquisition device at the same time in real time by using a local data processing unit, encoding each synthesized luminance image according to the corresponding acquisition time to obtain a corresponding luminance video stream file, and locally storing the luminance video stream file by using a local data storage unit to output a result or a control signal obtained by processing the synthesized luminance image at each time by a user script program, wherein each synthesized luminance image is used for representing the target luminance range of the scene corresponding to the acquisition time;

decoding the brightness video stream file to obtain the brightness distribution of the target dynamic scene at any moment;

on the basis of the brightness data processing mode, correspondingly processing the synthesized brightness image of the target dynamic scene at each moment;

and displaying the processing result of the synthesized luminance image, and/or sending the processing result of the synthesized luminance image to a corresponding user client.

2. A kind of fast imaging type luminance measuring device, characterized by that, the fast imaging type luminance measuring device is set up in a programmable imaging luminance meter;

the rapid imaging type brightness measuring apparatus includes:

the parameter setting module is used for adjusting the setting parameters of each image acquisition device which is arranged in the same area with the parameter setting module, so that the difference of the acquisition brightness ranges of at least two image acquisition devices is larger than or equal to a preset difference value;

the dynamic image processing module is used for performing local HDR synthesis processing on images of a target scene acquired by the image acquisition devices at the same moment to obtain and locally store synthesized brightness images of the target dynamic scene corresponding to the moments so as to output a result or a control signal obtained after a user script program processes the synthesized brightness images of the moments, wherein each synthesized brightness image is used for representing a target brightness range of a scene corresponding to the acquisition moment;

wherein the dynamic image processing module includes:

the HDR synthesis unit is used for simultaneously acquiring images of target scenes acquired by the image acquisition devices in the same area at the same time, and applying the local data processing unit to perform local HDR synthesis processing on the images of the target scenes acquired by the image acquisition devices at the same time in real time;

the encoding module is used for encoding each synthesized brightness image according to the corresponding acquisition time to obtain a corresponding brightness video stream file, and locally storing the brightness video stream file by using the local data storage unit;

the rapid imaging type luminance measuring apparatus further includes:

the decoding module is used for decoding the brightness video stream file to obtain the brightness distribution of the target dynamic scene at any moment;

the user program loading module is used for acquiring a brightness data analysis program written by a user and storing the brightness data analysis program to a corresponding user program storage area;

a processing mode obtaining module, configured to read the brightness data analysis program from the user program storage area to obtain a corresponding brightness data processing mode, where the brightness data processing mode includes: extracting the brightness of any position of a target scene, decoding a brightness video stream file, and analyzing brightness data to obtain at least one of a specific analysis result and an image processing result;

the analysis module is used for correspondingly processing the synthesized brightness image of the target dynamic scene at each moment based on the brightness data processing mode;

and the processing result output module is used for displaying the processing result of the synthesized luminance image and/or sending the processing result of the synthesized luminance image to the corresponding user client.

3. A programmable imaging luminance meter, comprising: the fast imaging luminance measuring apparatus as claimed in claim 2, and a plurality of the image pickup devices integrally provided with the fast imaging luminance measuring apparatus;

4. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the fast imaging luminance measurement method of claim 1 are implemented when the program is executed by the processor.

5. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the fast imaging luminance measurement method as claimed in claim 1.