CN111447355B - Automatic white balance value big data adjusting system - Google Patents
Automatic white balance value big data adjusting system Download PDFInfo
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- CN111447355B CN111447355B CN201911009777.3A CN201911009777A CN111447355B CN 111447355 B CN111447355 B CN 111447355B CN 201911009777 A CN201911009777 A CN 201911009777A CN 111447355 B CN111447355 B CN 111447355B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/71—Circuitry for evaluating the brightness variation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/73—Colour balance circuits, e.g. white balance circuits or colour temperature control
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Processing Of Color Television Signals (AREA)
- Color Television Image Signal Generators (AREA)
Abstract
The invention relates to an automatic white balance value big data adjusting system, which comprises: the electronic eye camera is used for carrying out shooting operation on a scene where the electronic eye camera is located so as to obtain and output a corresponding real-time scene image; when the electronic eye camera receives a manual setting command, setting a white balance value of the electronic eye camera according to the operation of a user; the level identification device is used for identifying the dynamic range of the received real-time scene image so as to obtain the corresponding dynamic range width level; the electronic eye camera sets a white balance value thereof to be between 8000 and 10000 when receiving an auto-setting command. The automatic white balance value big data adjusting system is effective in operation and accurate in setting. When the blue sky target and the shadow target are detected in the targets shot by the electronic eye camera, the shooting scene is determined to be a blue sky scene, and the corresponding white balance value is automatically set, so that the automation level of the camera is improved.
Description
Technical Field
The invention relates to the field of parameter setting, in particular to an automatic white balance value big data adjusting system.
Background
In mathematics and statistics, a parameter is a quantity that uses a generic variable to establish a relationship between a function and a variable (when such a relationship is difficult to formulate with an equation). This term may have particular use in different contexts. System parameters refer to variables related to system state, function, and behavior. In general, system parameters are not the same for different environments and different systems.
System parameters refer to variables related to system state, function, behavior, etc., and in computer science, a variable refers to a name that represents a value stored in memory. The system parameters are typically dynamically varied depending on the current needs of the system. In a computer System, there are many places where System parameters, such as System calls, interrupt handling, and BIOS (Basic Input/Output System) parameter settings, are available.
Disclosure of Invention
The invention has at least the following two important points:
(1) when a blue sky target and a shadow target are detected in the targets shot by the electronic eye camera at the same time, determining that the shooting scene is a blue sky scene, and automatically executing the setting of a corresponding white balance value;
(2) and selecting a small amount of image data according to the characteristics of the image signals to perform content analysis so as to determine a specific strategy for executing the chromaticity adjusting operation, so that the content analysis of all the image data is not required, and the operation amount of image processing is reduced.
According to an aspect of the present invention, there is provided an automatic white balance value big data adjusting system, the system including: and the electronic eye camera is used for carrying out shooting operation on the scene where the electronic eye camera is positioned so as to obtain and output a corresponding real-time scene image.
More specifically, in the automated white balance value big data adjusting system: and when receiving a manual setting command, the electronic eye camera sets a white balance value according to the operation of a user.
More specifically, in the automatic white balance value big data adjustment system, further comprising: the grade identifying equipment is connected with the electronic eye camera and used for receiving a real-time scene image and identifying the dynamic range of the real-time scene image to obtain the corresponding dynamic range width grade; when the electronic eye camera receives an automatic setting command, setting the white balance value of the electronic eye camera to be 8000-10000; the signal splitting equipment is connected with the grade discrimination equipment and is used for dividing the real-time scene image according to the dynamic range width grade to obtain a plurality of image fragments; a wireless communication interface connected to the level discrimination device for receiving the dynamic range width level and transmitting the dynamic range width level through a wireless communication link; the higher the dynamic range width grade is, the more the number of a plurality of image fragments obtained by dividing the real-time scene image is; and the smooth space filtering equipment is connected with the signal splitting equipment and is used for receiving each image fragment of the real-time scene image and executing smooth space filtering processing on each image fragment to obtain a corresponding filtering block.
The automatic white balance value big data adjusting system is effective in operation and accurate in setting. When a blue sky target and a shadow target are detected in the targets shot by the electronic eye camera, the shooting scene is determined to be a blue sky scene, and the corresponding white balance value is automatically set, so that the automatic level of the camera is improved
Detailed Description
The following will describe in detail an embodiment of the automated white balance big data adjustment system of the present invention.
White balance is literally understood to be the balance of white. White balance is an index describing the accuracy of white color generated by mixing three primary colors of red, green and blue in a display. White balance is a very important concept in the field of television photography, by which a series of problems of color reproduction and tone processing can be solved.
White balance is generated along with the real color reproduction of electronic images, is applied earlier in the field of professional photography, and is widely used in household electronic products (household video cameras and digital cameras) at present, however, the white balance adjustment becomes simpler and easier due to the technical development, but many users do not know the working principle of white balance very much, and have a lot of misareas in understanding. The method realizes that the camera image can accurately reflect the color condition of the shot object, and has the modes of manual white balance, automatic white balance and the like. Many people have problems when using digital cameras for photography: the image shot in the room of the fluorescent lamp appears green, the scenery shot under the indoor tungsten lamp light is yellowish, and the picture shot in the sunlight shadow is wonderfully bluish, which is caused by the white balance setting.
At present, still more rely on artifical mode to camera equipment's parameter setting, for example, the personnel of making a video recording change or according to the whole luminance of the image of shooing according to the environment of shooing, decide to carry out corresponding parameter correction to camera equipment to obtain the formation of image picture that satisfies oneself demand, however, this kind of artifical mode is too loaded down with trivial details, has still interrupted camera personnel's the process of making a video recording and rhythm simultaneously.
In order to overcome the defects, the invention builds an automatic big data adjusting system for the white balance value, and can effectively solve the corresponding technical problem.
The automatic white balance value big data adjusting system according to the embodiment of the invention comprises:
and the electronic eye camera is used for carrying out shooting operation on the scene where the electronic eye camera is positioned so as to obtain and output a corresponding real-time scene image.
Next, the detailed structure of the automatic white balance big data adjustment system of the present invention will be further described.
In the automated white balance value big data adjustment system:
and when receiving a manual setting command, the electronic eye camera sets a white balance value according to the operation of a user.
In the automatic white balance value big data adjusting system, the method further comprises:
the grade identifying equipment is connected with the electronic eye camera and used for receiving a real-time scene image and identifying the dynamic range of the real-time scene image to obtain the corresponding dynamic range width grade;
when the electronic eye camera receives an automatic setting command, setting the white balance value of the electronic eye camera to be 8000-10000;
the signal splitting equipment is connected with the grade discrimination equipment and is used for dividing the real-time scene image according to the dynamic range width grade to obtain a plurality of image fragments;
a wireless communication interface connected to the level discrimination device for receiving the dynamic range width level and transmitting the dynamic range width level through a wireless communication link;
the higher the dynamic range width grade is, the more the number of a plurality of image fragments obtained by dividing the real-time scene image is;
the smooth space filtering equipment is connected with the signal splitting equipment and is used for receiving each image fragment of the real-time scene image and executing smooth space filtering processing on each image fragment to obtain a corresponding filtering block;
the data extraction device is used for receiving each filtering block and randomly selecting a preset number of filtering blocks to serve as a plurality of filtering blocks to be analyzed to be output;
the content detection device is connected with the data extraction device and is used for detecting the colorimetric values of the plurality of filtering blocks to be analyzed and taking the average value of the colorimetric values of the plurality of filtering blocks to be analyzed as the colorimetric value to be processed;
the signal processing device is connected with the content detection device and is used for carrying out chroma adjustment operation on the real-time scene image based on the to-be-processed chroma value, and the larger the difference value of the to-be-processed chroma value from a preset chroma threshold value is, the larger the adjustment value of the chroma adjustment operation on the real-time scene image is;
the signal processing equipment also outputs a signal processing image obtained after the chromaticity adjusting operation is carried out;
the target identification device is connected with the signal processing device and used for receiving the signal processing image and carrying out blue sky target detection and shadow target detection on the signal processing image based on the blue sky imaging characteristic and the shadow imaging characteristic;
in essence, the object discrimination apparatus is configured to issue an automatic setting command when a blue sky object and a shadow object are detected simultaneously in the signal processing image;
wherein the object discrimination apparatus is further configured to issue a manual setting command when a blue sky object and a shadow object are not simultaneously detected in the signal processing image;
wherein, in the level discrimination apparatus, the higher the level of the dynamic range width is, the wider the dynamic range of the corresponding real-time scene image is.
In the automated white balance value big data adjustment system:
the content detection device is realized by adopting a programmable logic device, and the programmable logic device is designed by adopting a VHDL language.
In the automated white balance value big data adjustment system:
the signal processing equipment is a bus type single chip microcomputer, and a timer and a ROM (read only memory) are arranged in the bus type single chip microcomputer.
In the automated white balance value big data adjustment system:
and the content detection device and the signal processing device are in data connection and data interaction through a 32-bit parallel data interface.
In the automated white balance value big data adjustment system:
the content detection device and the signal processing device share the same field timing device and share the same power input device.
In the automated white balance value big data adjustment system:
a data cache device is also arranged between the content detection device and the signal processing device;
the data cache device is connected with the content detection device and the signal processing device through two data interfaces respectively.
In the automatic white balance value big data adjusting system, the method further comprises:
and the FPM DRAM memory chip is respectively connected with the content detection device and the signal processing device and is used for respectively storing the current input data of the content detection device and the signal processing device.
In addition, FPM DRAM (Fast Page Mode RAM): fast page mode memory. Is a memory that was commonly used during time 486 (also used as video memory). 72 lines, 5V voltage, 32bit bandwidth and basic speed of more than 60 ns. His read cycle begins with the triggering of a row in the DRAM array and then moves to the location indicated by the memory address, i.e., contains the desired data. The first message must be validated and stored to the system in preparation for the next cycle. This introduces a "wait state" because the CPU must wait for the memory to complete one cycle foolproof. One important reason for the widespread use of FPM is that it is a standard and safe product and is inexpensive. But its performance deficiency has led to its replacement by EDO DRAM soon, and such video-backed video cards are not yet available.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (7)
1. An automated white balance big data adjustment system, the system comprising:
the electronic eye camera is used for carrying out shooting operation on a scene where the electronic eye camera is located so as to obtain and output a corresponding real-time scene image;
when the electronic eye camera receives a manual setting command, setting a white balance value of the electronic eye camera according to the operation of a user;
the grade identifying equipment is connected with the electronic eye camera and used for receiving a real-time scene image and identifying the dynamic range of the real-time scene image to obtain the corresponding dynamic range width grade;
when the electronic eye camera receives an automatic setting command, setting the white balance value of the electronic eye camera to be 8000-10000;
the signal splitting equipment is connected with the grade discrimination equipment and is used for dividing the real-time scene image according to the dynamic range width grade to obtain a plurality of image fragments;
a wireless communication interface connected to the level discrimination device for receiving the dynamic range width level and transmitting the dynamic range width level through a wireless communication link;
the higher the dynamic range width grade is, the more the number of a plurality of image fragments obtained by dividing the real-time scene image is;
the smooth space filtering equipment is connected with the signal splitting equipment and is used for receiving each image fragment of the real-time scene image and executing smooth space filtering processing on each image fragment to obtain a corresponding filtering block;
the data extraction device is used for receiving each filtering block and randomly selecting a preset number of filtering blocks to serve as a plurality of filtering blocks to be analyzed to be output;
the content detection device is connected with the data extraction device and is used for detecting the colorimetric values of the plurality of filtering blocks to be analyzed and taking the average value of the colorimetric values of the plurality of filtering blocks to be analyzed as the colorimetric value to be processed;
the signal processing device is connected with the content detection device and is used for carrying out chroma adjustment operation on the real-time scene image based on the to-be-processed chroma value, and the larger the difference value of the to-be-processed chroma value from a preset chroma threshold value is, the larger the adjustment value of the chroma adjustment operation on the real-time scene image is;
the signal processing equipment also outputs a signal processing image obtained after the chromaticity adjusting operation is carried out;
the target identification device is connected with the signal processing device and used for receiving the signal processing image and carrying out blue sky target detection and shadow target detection on the signal processing image based on the blue sky imaging characteristic and the shadow imaging characteristic;
wherein the object discrimination apparatus is configured to issue an automatic setting command when a blue sky object and a shadow object are simultaneously detected in the signal processing image;
wherein the object discrimination apparatus is further configured to issue a manual setting command when a blue sky object and a shadow object are not simultaneously detected in the signal processing image;
wherein, in the level discrimination apparatus, the higher the level of the dynamic range width is, the wider the dynamic range of the corresponding real-time scene image is.
2. The automated white balance big data adjusting system according to claim 1, wherein:
the content detection device is realized by adopting a programmable logic device, and the programmable logic device is designed by adopting a VHDL language.
3. The automated white balance big data adjusting system of claim 2, wherein:
the signal processing equipment is a bus type single chip microcomputer, and a timer and a ROM (read only memory) are arranged in the bus type single chip microcomputer.
4. The automated white balance big data adjusting system according to claim 3, wherein:
and the content detection device and the signal processing device are in data connection and data interaction through a 32-bit parallel data interface.
5. The automated white balance big data adjusting system according to claim 4, wherein:
the content detection device and the signal processing device share the same field timing device and share the same power input device.
6. The automated white balance big data adjusting system according to claim 5, wherein:
a data cache device is also arranged between the content detection device and the signal processing device;
the data cache device is connected with the content detection device and the signal processing device through two data interfaces respectively.
7. The automated white balance big data adjustment system of claim 6, further comprising:
and the FPM DRAM memory chip is respectively connected with the content detection device and the signal processing device and is used for respectively storing the current input data of the content detection device and the signal processing device.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911009777.3A CN111447355B (en) | 2019-10-23 | 2019-10-23 | Automatic white balance value big data adjusting system |
| GBGB2015179.1A GB202015179D0 (en) | 2019-10-23 | 2020-09-25 | Automatic white balance value big data adjustment system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911009777.3A CN111447355B (en) | 2019-10-23 | 2019-10-23 | Automatic white balance value big data adjusting system |
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| CN111447355A CN111447355A (en) | 2020-07-24 |
| CN111447355B true CN111447355B (en) | 2021-06-25 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110232669A (en) * | 2019-06-19 | 2019-09-13 | 湖北工业大学 | A kind of tone mapping method and system of high dynamic range images |
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| JP4884251B2 (en) * | 2007-02-09 | 2012-02-29 | 富士フイルム株式会社 | Imaging apparatus, method, and program |
| US9743057B2 (en) * | 2012-05-31 | 2017-08-22 | Apple Inc. | Systems and methods for lens shading correction |
| CN105009169B (en) * | 2012-12-21 | 2018-03-09 | 菲力尔系统公司 | System and method for suppressing the sky areas in image |
| CN103024300B (en) * | 2012-12-25 | 2015-11-25 | 华为技术有限公司 | A kind of method for high dynamic range image display and device |
| CN107800944A (en) * | 2016-08-31 | 2018-03-13 | 中兴通讯股份有限公司 | A kind of white balance adjustment method, device and mobile terminal |
| CN110225253A (en) * | 2019-06-12 | 2019-09-10 | 杨勇 | A kind of high dynamic range images processing method and system |
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| CN110232669A (en) * | 2019-06-19 | 2019-09-13 | 湖北工业大学 | A kind of tone mapping method and system of high dynamic range images |
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| GB202015179D0 (en) | 2020-11-11 |
| CN111447355A (en) | 2020-07-24 |
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