CN115767260A - Anti-overexposure processing method and device, image acquisition equipment and storage medium - Google Patents
Anti-overexposure processing method and device, image acquisition equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application provides an anti-overexposure processing method and device, image acquisition equipment and a storage medium, and relates to the technical field of image processing, wherein a preview image in a camera is acquired and is divided into different brightness areas; acquiring the number of pixel points of each brightness area, and judging whether the preview image has an overexposure phenomenon; and if the preview image is determined to have the overexposure phenomenon, adjusting the configuration parameters of the camera to perform the overexposure prevention treatment. The brightness of automatic exposure is adjusted in time so that the image is not overexposed, people or objects in the area are clear and visible, the image quality of the image is improved, and the user experience is improved.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to an anti-overexposure processing method and apparatus, an image capturing device, and a storage medium.
Background
In daily shooting, because the light source can have a certain frequency and period change along with time, and a video is formed by one frame of picture, when the exposure time of each frame of picture is not matched with the frequency of the light source, water ripples with alternate light and shade can appear.
To prevent such moire, an anti-flicker mechanism is usually employed to make the accumulated illumination intensity of each frame be the same, for example, by limiting the minimum exposure time of the auto exposure to 10ms. However, if the exposure time adjustment method is in some bright scenes, the image will be overexposed, resulting in poor quality of the acquired image and even failure to identify people or objects in the overexposed area.
Disclosure of Invention
In order to solve the technical problem, an embodiment of the present application provides an anti-overexposure processing method and apparatus, an image capturing device, and a storage medium.
In a first aspect, an embodiment of the present application provides an overexposure prevention processing method, where the method includes:
acquiring a preview image in a camera, and dividing the preview image into different brightness areas;
acquiring the number of pixel points of each brightness area, and judging whether the preview image has an overexposure phenomenon;
and if the preview image is determined to have the overexposure phenomenon, adjusting the configuration parameters of the camera to perform the overexposure prevention treatment.
According to a specific embodiment of the present disclosure, the step of dividing the preview image into different brightness regions includes:
acquiring the brightness value of each pixel point of the preview image;
and dividing the preview image into a bright area and a dark area according to a preset bright area critical value and a preset dark area critical value on the basis of the brightness value of each pixel point of the preview image.
According to a specific embodiment disclosed in the present application, the step of obtaining the number of pixels in each of the luminance regions and determining whether the preview image is overexposed includes:
acquiring a first pixel point number of the dark area and a second pixel point number of the bright area in the preview image;
calculating a first ratio of the first pixel point number of the dark area to the total pixel point number of the preview image, and a second ratio of the second pixel point number of the bright area to the total pixel point number of the preview image;
and judging whether the preview image has an overexposure phenomenon or not based on the first ratio and the second ratio.
According to a specific embodiment of the present disclosure, the step of determining whether the preview image has an overexposure phenomenon based on the first ratio and the second ratio includes:
acquiring a preset over-dark threshold and an over-exposure threshold;
respectively comparing the first ratio with the over-dark threshold value, and the second ratio with the over-exposure threshold value;
and if the first ratio is smaller than the over-dark threshold and the second ratio is larger than the over-exposure threshold, determining that the preview image has an over-exposure phenomenon.
According to a specific embodiment disclosed in the present application, the step of adjusting the camera configuration parameters to perform the overexposure prevention process includes:
acquiring a preset initial brightness value of the preview image;
subtracting a preset deviation value from the preset initial brightness value to obtain a target brightness value;
and adjusting the brightness of the camera in the automatic exposure in the acquisition state according to the target brightness value.
According to a specific embodiment disclosed in the present application, the step of adjusting the camera configuration parameters to perform the anti-overexposure process includes:
acquiring a strong light inhibition command;
and performing strong light inhibition operation on the preview image according to the strong light inhibition command to obtain a preview image after strong light inhibition.
According to a specific embodiment disclosed in the present application, the step of adjusting the camera configuration parameters to perform the overexposure prevention process includes:
confirming the position of an overexposure area of the preview image;
and determining an exposure weight table according to the position of the overexposure area, and adjusting the weight value of the overexposure area according to the exposure weight table.
In a second aspect, an embodiment of the present application provides an overexposure prevention processing apparatus, including:
the dividing module is used for acquiring a preview image in a camera and dividing the preview image into different brightness areas;
the judging module is used for acquiring the number of pixel points of each brightness area and judging whether the preview image has an overexposure phenomenon;
and the processing module is used for adjusting the configuration parameters of the camera to perform anti-overexposure processing if the fact that the preview image has the overexposure phenomenon is determined.
In a third aspect, an embodiment of the present application provides an image capturing apparatus, which includes a memory and a processor, where the memory is used to store a computer program, and the computer program executes the anti-overexposure processing method provided in the first aspect when the processor runs.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program runs on a processor, the computer program performs the anti-overexposure processing method provided in the first aspect.
According to the anti-overexposure processing method provided by the application, the preview image in the camera is obtained, and the preview image is divided into different brightness areas; acquiring the number of pixel points of each brightness area, and judging whether the preview image has an overexposure phenomenon; and if the preview image is determined to have the overexposure phenomenon, adjusting the configuration parameters of the camera to perform the overexposure prevention treatment. The brightness of automatic exposure is adjusted in time so that the image is not overexposed, people or objects in the area are clear and visible, the image quality of the image is improved, and the user experience is improved.
Drawings
To more clearly illustrate the technical solutions of the present application, the drawings required for use in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope of the present application. Like components are numbered similarly in the various figures.
Fig. 1 is a schematic flow chart illustrating an anti-overexposure processing method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of an anti-overexposure processing apparatus provided in an embodiment of the present application;
fig. 3 shows a schematic structural diagram of an image acquisition device provided in an embodiment of the present application.
Detailed Description
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 only a part of the embodiments of the present application, and not all of the embodiments.
The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present application, are intended to indicate only specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another, and are not to be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the present application belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments.
Example 1
The embodiment of the disclosure provides an anti-overexposure processing method.
Specifically, referring to fig. 1, the overexposure prevention processing method includes:
step S101, a preview image in a camera is acquired, and the preview image is divided into different luminance areas.
Specifically, the preview image refers to an image obtained by a camera through pre-collection, and the preview image can be divided into different brightness regions according to the brightness value of each pixel point.
The step of dividing the preview image into different brightness regions comprises:
acquiring the brightness value of each pixel point of the preview image; and dividing the preview image into a bright area and a dark area according to a preset bright area critical value and a preset dark area critical value on the basis of the brightness value of each pixel point of the preview image.
Specifically, the brightness value of each pixel point of the preview image is obtained first, the preview image is divided into different brightness regions according to the brightness value of each pixel point of the preview image and a preset partition critical value, for example, when the brightness value of a certain pixel is greater than or equal to a bright region critical value, the pixel point is determined as a bright region pixel point, and when the brightness value of a certain pixel is less than or equal to a dark region critical value, the pixel point is determined as a dark region pixel point.
In a specific embodiment, the preview image may be divided into different luminance regions by using a luminance histogram, where the luminance histogram refers to a preview image obtained by a camera through pre-acquisition in a distribution diagram manner, a horizontal axis of the luminance histogram represents luminance, a vertical axis of the luminance histogram identifies the number of pixels, and how many pixels are accumulated in any region of the preview image is represented in a graphic manner. And counting the number of pixel points of the preview image in different brightness intervals through the brightness histogram.
Taking 10-bit data as an example, the luminance histogram divides the luminance of the entire preview image into 1024 steps, the bright area threshold value is 900, and the dark area threshold value is 200, so that the preview image can be divided into three areas, namely, bright areas (900-1023), middle areas (201-899), and dark areas (0-200).
And S102, acquiring the number of pixel points of each brightness area, and judging whether the preview image has an overexposure phenomenon.
The step of obtaining the number of the pixel points of each brightness area and judging whether the preview image has an overexposure phenomenon comprises the following steps:
acquiring a first pixel point number of the dark area and a second pixel point number of the bright area in the preview image; calculating a first ratio of the number of first pixel points of the dark area to the total number of pixel points of the preview image, and a second ratio of the number of second pixel points of the bright area to the total number of pixel points of the preview image; and judging whether the preview image has an overexposure phenomenon or not based on the first ratio and the second ratio.
Specifically, the first pixel point number of the dark area and the second pixel point number of the bright area in the preview image are respectively counted, the ratio of the first pixel point number to the total pixel point number of the second pixel point number in the preview image is respectively calculated, and whether the overexposure phenomenon occurs in the preview image can be determined according to the ratio.
The step of determining whether the preview image has an overexposure phenomenon based on the first ratio and the second ratio includes:
acquiring a preset over-dark threshold and an over-exposure threshold; respectively comparing the first ratio with the over-dark threshold value, and the second ratio with the over-exposure threshold value; and if the first ratio is smaller than the over-dark threshold and the second ratio is larger than the over-exposure threshold, determining that the preview image has an over-exposure phenomenon.
Specifically, the first ratio and the over-dark threshold, and the second ratio and the over-exposure threshold may be compared, respectively, and when the first ratio is smaller than the over-dark threshold and/or the second ratio is larger than the over-exposure threshold, it may be determined that the preview image has an over-exposure phenomenon. Of course, in order to improve the accuracy, in a specific application, it is preferable to determine that the preview image is overexposed when the first ratio is smaller than the over-dark threshold and the second ratio is greater than the overexposure threshold.
And step S103, if the preview image is determined to have an overexposure phenomenon, adjusting the configuration parameters of the camera to perform overexposure prevention processing.
Specifically, when it is determined that the preview image is overexposed, it is necessary to prevent the picture from being overexposed by adjusting an adjustment parameter of automatic overexposure. In the prior art, the internal factors are usually realized by reducing the gain, the exposure time or the brightness during the automatic exposure, while the external factors are usually realized by reducing the size of the lens aperture or reducing the brightness of the external environment. In practical applications, the brightness of the external environment is fixed and the aperture is not variable, so that the picture is not over exposed due to internal factors. In this embodiment, after the anti-flicker mechanism is turned on, and the ambient brightness of the shooting scene is high, the exposure time needs to be set to the minimum value, so that the image is not overexposed by adjusting the brightness during the automatic exposure.
In some embodiments, the step of adjusting the camera configuration parameters for the anti-overexposure process comprises:
acquiring a preset initial brightness value of the preview image; subtracting a preset deviation value from the preset initial brightness value to obtain a target brightness value; and adjusting the brightness of the camera in the automatic exposure in the acquisition state according to the target brightness value.
In specific implementation, the exposure parameters of the camera in the acquisition state include shutter speed, aperture, sensitivity, and brightness during automatic exposure. Firstly, a preset brightness value of a camera in an automatic exposure state is obtained, the preset brightness value is called as an initial brightness value, when the fact that the preview image has an overexposure phenomenon is determined, a preset deviation value is subtracted on the basis of the initial brightness value to obtain a target brightness value, and the brightness of the camera in the automatic exposure state is adjusted according to the target brightness value to prevent the overexposure phenomenon. In addition, the initial brightness may be used directly when switching from an overexposed scene to a non-overexposed scene.
In some embodiments, the adjusting the camera configuration parameters for the anti-overexposure process comprises:
acquiring a strong light inhibition command; and performing strong light suppression operation on the preview image according to the strong light suppression command to obtain the preview image after strong light suppression.
Specifically, the strong light suppression means that video information of a strong light part in an image is processed by a DSP, and the signal brightness of the video is adjusted to a normal range, so as to avoid too large front and back contrasts in the same image. In this embodiment, by activating the highlight suppression function, the highlight suppression operation is performed on the preview image, so as to prevent the overexposure phenomenon.
In some embodiments, the step of adjusting the camera configuration parameters for the anti-overexposure process includes:
confirming the position of an overexposed area of the preview image; and determining an exposure weight table according to the position of the overexposure area, and adjusting the weight value of the overexposure area according to the exposure weight table.
Specifically, the overexposed region may be processed by the image signal processor based on a data size set by itself. And then the image signal processor analyzes the processed overexposure area to count the number of different types of pixel points in each pixel unit in the processed overexposure area, determine the proportion of the number of the preset type of pixel points to the total pixel points in the pixel unit to which the preset type of pixel points belong, determine the exposure weight of each pixel unit according to the proportion, and further obtain an exposure weight table. After the exposure weight table is obtained, the corresponding exposure value adjustment can be carried out on the position of the overexposure area so as to achieve the effect of preventing overexposure.
In some embodiments, the image capturing device comprises a sensor for sending the ambient brightness adjustment signal when the ambient brightness is sensed to exceed a preset overexposure threshold.
In particular, in some special scenes, a signal receiver exists in the surrounding environment, and when the ambient brightness adjusting signal is received, the brightness of the surrounding light source can be automatically adjusted, so that the acquired picture of the image acquisition device is not overexposed.
In the method for preventing overexposure provided by the embodiment, a preview image in a camera is acquired, and the preview image is divided into different brightness areas; acquiring the number of pixel points of each brightness area, and judging whether the preview image has an overexposure phenomenon; and if the preview image is determined to have the overexposure phenomenon, adjusting the configuration parameters of the camera to perform the overexposure prevention treatment. The image is not overexposed by adjusting the configuration parameters of the camera in time, the image quality of the image is improved, and the user experience is improved.
Example 2
Furthermore, an embodiment of the present disclosure provides an overexposure prevention processing apparatus 200, referring to fig. 2, including:
a dividing module 201, configured to acquire a preview image in a camera, and divide the preview image into different luminance regions;
the judging module 202 is configured to obtain the number of pixels in each of the brightness regions, and judge whether an overexposure phenomenon occurs in the preview image;
and the processing module 203 is configured to adjust the camera configuration parameters to perform anti-overexposure processing if it is determined that the preview image has an overexposure phenomenon.
The anti-overexposure processing apparatus 200 provided in this embodiment can perform the anti-overexposure processing method shown in embodiment 1, and is not described herein again for avoiding repetition.
The anti-overexposure processing device provided by the embodiment acquires a preview image in a camera, and divides the preview image into different brightness areas; acquiring the number of pixel points of each brightness area, and judging whether the preview image has an overexposure phenomenon; and if the preview image is determined to have the overexposure phenomenon, adjusting the configuration parameters of the camera to perform the overexposure prevention treatment. The image is not overexposed by adjusting the configuration parameters of the camera in time, the image quality of the image is improved, and the user experience is improved.
Example 3
The image capturing apparatus provided in this embodiment includes a memory and a processor, where the memory stores a computer program, and the computer program executes the anti-overexposure processing method provided in embodiment 1 when running on the processor.
Specifically, referring to fig. 3, the image capturing apparatus 300 includes: a transceiver 301, a bus interface, and a processor 302.
In an embodiment of the present invention, the image capturing apparatus 300 further includes: a memory 303. In FIG. 3, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented in particular by processor 302, and various circuits of memory, represented by memory 303, linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 301 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus architecture and general processing, and the memory 303 may store data used by the processor 302 in performing operations.
The image capturing device 300 according to the embodiment of the present invention may implement the overexposure prevention processing method shown in embodiment 1, and is not described herein again to avoid repetition.
Example 4
In this embodiment, the computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
The computer-readable storage medium provided in this embodiment 4 may execute the overexposure prevention processing method shown in embodiment 1, and is not described herein again to avoid repetition.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one of 8230, and" comprising 8230does not exclude the presence of additional like elements in a process, method, article, or terminal comprising the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An anti-overexposure processing method, comprising:
acquiring a preview image in a camera, and dividing the preview image into different brightness areas;
acquiring the number of pixel points of each brightness area, and judging whether the preview image has an overexposure phenomenon;
and if the preview image is determined to have the overexposure phenomenon, adjusting the configuration parameters of the camera to perform the overexposure prevention treatment.
2. The method of claim 1, wherein the step of dividing the preview image into different luminance regions comprises:
acquiring the brightness value of each pixel point of the preview image;
and dividing the preview image into a bright area and a dark area according to a preset bright area critical value and a preset dark area critical value on the basis of the brightness value of each pixel point of the preview image.
3. The method according to claim 2, wherein the step of obtaining the number of pixels in each of the luminance regions and determining whether the preview image is overexposed comprises:
acquiring the number of first pixel points of the dark area and the number of second pixel points of the bright area in the preview image;
calculating a first ratio of the number of first pixel points of the dark area to the total number of pixel points of the preview image, and a second ratio of the number of second pixel points of the bright area to the total number of pixel points of the preview image;
and judging whether the preview image has an overexposure phenomenon or not based on the first ratio and the second ratio.
4. The method according to claim 3, wherein the step of determining whether the preview image has an overexposure phenomenon based on the first ratio and the second ratio comprises:
acquiring a preset over-dark threshold and an over-exposure threshold;
comparing the first ratio with the over-dark threshold, and the second ratio with the over-exposure threshold;
and if the first ratio is smaller than the over-dark threshold and the second ratio is larger than the over-exposure threshold, determining that the preview image has an over-exposure phenomenon.
5. The method of claim 1, wherein the step of adjusting the camera configuration parameters for anti-overexposure processing comprises:
acquiring a preset initial brightness value of the preview image;
subtracting a preset deviation value from the preset initial brightness value to obtain a target brightness value;
and adjusting the brightness of the camera in the automatic exposure in the acquisition state according to the target brightness value.
6. The method of claim 1, wherein the step of adjusting the camera configuration parameters for anti-overexposure processing comprises:
acquiring a strong light inhibition command;
and performing strong light suppression operation on the preview image according to the strong light suppression command to obtain the preview image after strong light suppression.
7. The method of claim 1, wherein the step of adjusting the camera configuration parameters for anti-overexposure processing comprises:
confirming the position of an overexposure area of the preview image;
and determining an exposure weight table according to the position of the overexposure area, and adjusting the weight value of the overexposure area according to the exposure weight table.
8. An overexposure prevention processing apparatus, comprising:
the dividing module is used for acquiring a preview image in a camera and dividing the preview image into different brightness areas;
the judging module is used for acquiring the number of pixel points of each brightness area and judging whether the preview image has an overexposure phenomenon;
and the processing module is used for adjusting the configuration parameters of the camera to perform anti-overexposure processing if the fact that the preview image has the overexposure phenomenon is determined.
9. An image acquisition device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, performs the anti-overexposure processing method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when run on a processor, performs the anti-overexposure processing method of any one of claims 1 to 7.
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| CN117129481A (en) * | 2023-10-27 | 2023-11-28 | 南京华视智能科技股份有限公司 | Method for improving light source in detection system of lithium battery industry |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117129481A (en) * | 2023-10-27 | 2023-11-28 | 南京华视智能科技股份有限公司 | Method for improving light source in detection system of lithium battery industry |
| CN117129481B (en) * | 2023-10-27 | 2023-12-29 | 南京华视智能科技股份有限公司 | Method for improving light source in detection system of lithium battery industry |
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