CN111526277A - Processing method and system for adjusting image according to environmental conditions - Google Patents
Processing method and system for adjusting image according to environmental conditions Download PDFInfo
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- CN111526277A CN111526277A CN201910104146.3A CN201910104146A CN111526277A CN 111526277 A CN111526277 A CN 111526277A CN 201910104146 A CN201910104146 A CN 201910104146A CN 111526277 A CN111526277 A CN 111526277A
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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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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
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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
- H04N23/76—Circuitry for compensating brightness variation in the scene by influencing the image signals
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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
- H04N23/80—Camera processing pipelines; Components thereof
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Image Processing (AREA)
- Studio Devices (AREA)
Abstract
A processing method for adjusting images according to environmental conditions and a system thereof are provided, the processing method for adjusting images according to environmental conditions comprises: the method comprises the steps of capturing an environmental parameter of an image, judging a scene mode of the image according to the environmental parameter, estimating a brightness correction parameter of the image according to the scene mode, judging an image area to obtain an image area and an area brightness of the image area, and correcting the brightness of the image according to the image area, the area brightness and the brightness correction parameter to maintain the image quality. The processing method and the system for adjusting the images according to the environmental conditions can carry out corresponding image processing flows aiming at the images under different environments so as to properly carry out the brightness correction of each image, further improve the image quality and maintain the image quality in an adaptive way.
Description
[ technical field ] A method for producing a semiconductor device
The present invention relates to an image processing technology, and more particularly, to a method and a system for adjusting an image according to environmental conditions.
[ background of the invention ]
The car image recorder is used for recording the coordinate position of car, registration 37636s, car condition, data, and car path image, and can confirm the car condition at the time of accident through the car image registration 37636s installed on the car, so as to clear the responsibility of the accident.
In a typical image recorder for a vehicle, an automatic exposure unit is used to automatically adjust the shutter speed and the sensitivity (ISO value) of an image capturing device during capturing an image, so that the image has a constant brightness.
[ summary of the invention ]
In view of the above, a processing method and system for adjusting an image according to an environmental condition are provided to adaptively maintain the image quality.
In one embodiment, a processing method for adjusting an image according to an environmental condition includes capturing an environmental parameter of the image, determining a scene mode of the image according to the environmental parameter, estimating a brightness correction parameter of the image according to the scene mode, determining an image area to obtain an image area and an area brightness of the image area, and performing brightness correction of the image according to the image area, the area brightness and the brightness correction parameter.
In some embodiments, the brightness correction gamma corrects the background outside the image area of the image when the scene mode is a dark mode.
In one embodiment, a processing system for adjusting an image according to an environmental condition includes an image capturing unit, a scene determining unit, an image area determining unit, and an image calibrating unit. The image capturing unit is used for capturing at least one image and acquiring an environmental parameter of the image. The scene determining unit and the image area judging unit are in signal connection with the image capturing unit. The scene determining unit determines a scene mode of the image according to the environmental parameter and generates a brightness correction parameter according to the scene mode. The image area determination unit performs image area determination on the image to obtain an image area and an area brightness of the image area. The image correction unit is in signal connection with the scene decision unit and the image area determination unit, and is used for performing brightness correction on the image according to the image area, the area brightness and the brightness correction parameter.
In some embodiments, when the scene determining unit determines the scene mode of the image to be a dark mode, the brightness correction performs gamma correction on the background outside the image area of the image.
In summary, since the captured images change with the changing environment, the corresponding image processing flow is performed for the images under different environments to properly perform the brightness correction of each image, thereby achieving the effect of maintaining the image quality.
[ description of the drawings ]
Fig. 1 is a schematic diagram of an image processing system according to an embodiment of the invention.
FIG. 2 is a diagram illustrating a scene mode divided into four segments according to gamma values according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating an image processing method according to an embodiment of the invention.
Fig. 4 is a flowchart illustrating an image processing method according to another embodiment of the invention.
Fig. 5 is a flowchart illustrating an image processing method according to still another embodiment of the invention.
FIG. 6 is a diagram illustrating a gamma correction according to an embodiment of the present invention.
FIG. 7 is a diagram illustrating a gamma correction according to another embodiment of the present invention.
[ detailed description ] embodiments
Fig. 1 is a schematic diagram of an image processing system according to an embodiment of the invention. Referring to fig. 1, a processing system 10 for adjusting an image according to an environmental condition includes an image capturing unit 12, a scene determining unit 14, an image area determining unit 16, an image calibrating unit 18, and an automatic exposure unit 20.
The image capturing unit 12 captures at least one image from the outside and obtains an environmental parameter of the image, the automatic exposure unit 20 is in signal connection with the image capturing unit 12, and the automatic exposure unit 20 performs automatic exposure on the captured environment of the image to provide the image capturing unit 12 with the supplementary light provided by the automatic exposure unit 20 to capture the image and provide the environmental parameter to the image capturing unit 12. In some embodiments, the image capturing unit 12 is an image sensing Device such as a Charge Coupled Device (CCD) or a Complementary Metal-Oxide-Semiconductor (CMOS).
In some embodiments, the environmental parameter is a shutter speed and a sensitivity of the image, i.e. an actual value obtained by the automatic exposure unit 20 automatically exposing the capturing environment when the image capturing unit 12 obtains the image.
The scene determining unit 14 is in signal connection with the image capturing unit 12, and determines a scene mode of the image according to the environmental parameter, and generates a brightness correction parameter according to the scene mode. The image area determination unit 16 is connected to the image capturing unit 12, and the image area determination unit 16 performs an image area determination on the captured image to obtain an image area and an area brightness of the image area. The image correction unit 18 is in signal connection with the scene determination unit 14 and the image region determination unit 16, so that the image correction unit 18 can perform brightness correction on the image according to the obtained image region, region brightness and brightness correction parameters, so as to restore the image to the brightness of the real original scene perceived by naked eyes. In some embodiments, the area brightness is an average brightness of the image area obtained by the image area determination unit 16, and the image area may be an entire area of the image or a local area of the image.
In some embodiments, the image calibration unit 18 may be an image signal processing chip (ISP).
In addition, the image processing system 10 further has a light measuring unit 22, which is in signal connection with the image area determining unit 16 and the image correcting unit 18, and when the image area determining unit 16 provides the position and the size of the image area to the light measuring unit 22, the light measuring unit 22 can perform light measurement on the image area, so that the image area obtains the optimal exposure, and the brightness of the current frame is estimated according to the image area, thereby maintaining the optimal area brightness.
In some embodiments, the image corrected by the image correction unit 18 is compressed into image data by an image compression unit 24 for back-end storage, and the image data compressed by the image compression unit 24 is output to the storage unit or other external devices for storage.
In some embodiments, the different scene modes can be determined according to the shutter speed and the sensitivity of the environmental parameters, and as shown in fig. 2, since the shutter speed and the sensitivity (ISO) are proportional to the exposure value, the exposure value and the ajar (alpha ) value are proportional to the gamma (gamma ) value or each exposure value corresponds to a gamma value to establish a look-up table (LUT), where the ajar value is a conversion variable indicating that the different exposure values correspond to different gamma values, as shown in the following relation:
gamma sensitivity at shutter speed in seconds
Gamma value of gamma ray exposure
Or LUT (exposure value) ═ gamma value
Therefore, the gamma value can be derived from the shutter speed and the sensitivity by the above relational expression, and the scene mode of the image can be determined according to the gamma value. In FIG. 2, the scene mode is divided into four segments according to the gamma values, the number of the segments is not limited to this, the greater the number of the segments, the better the effect, and the more the number of the segments can be adjusted according to the user or the system. In the present embodiment, the four segments are a bright light midday mode (Gamma 0.35), a daytime mode (Gamma 0.45), a dawn dusk mode (Gamma 0.55), and a dark (night) mode (Gamma 0.65) respectively, which includes a night mode and a scene environment (Gamma 0.65) with insufficient brightness in other scene modes, according to the Gamma values from small to large.
When the scene determining unit 14 determines that the scene mode of the image is the dark mode, the image correcting unit 18 performs gamma correction on the background outside the image area in the image to restore the background brightness when performing brightness correction. In one embodiment, when the scene mode is the dark mode, if the image area is determined to be the local area, the image area determining unit 16 obtains the area brightness of the image area and the image area, and the image correcting unit 18 performs brightness correction on the background outside the image area according to the image area, the area brightness, and the brightness correction parameter, so that the brightness around the image area in the image is equivalent to the brightness in the image area, so as to restore the whole image to the brightness of the real original scene, without generating a difference in brightness between the main body (image area) and the background (area outside the image area), thereby causing the background to be blurred and too dark.
In some embodiments, the image capturing unit 12, the image calibration unit 18, the automatic exposure unit 20, the light measuring unit 22, the image compression unit 24, and the like are built in an image capturing device, such as a camera; the scene determination unit 14 and the image area determination unit 16 can be built in a car image recorder or a car system of a car. In other embodiments, the image capturing unit 12, the scene determining unit 14, the image area determining unit 16, the image correcting unit 18, the automatic exposure unit 20, the light measuring unit 22 and the image compressing unit 24 may be integrated into a same image capturing device.
Next, referring to fig. 1 to 3, an image environment parameter is captured (step S10), an image capturing unit 12 is used to capture the image, and an automatic exposure process is performed on the image through the automatic exposure unit 20 to obtain an image environment parameter such as shutter speed and sensitivity. The scene determining unit 14 determines the scene mode of the image according to the environmental parameters (in step S12), so as to determine which scene mode the image belongs to, such as a bright light midday mode, a daytime mode, a dawn dusk mode, or a dark mode. Regardless of the scene mode, the scene determination unit 14 estimates the brightness correction parameters of the images according to the scene mode (step S14) to obtain the gamma correction values of each image. Then, an image area determination is performed (in step S16), the image area determination unit 16 obtains the image area and the area brightness of the image area in the image, and finally the image correction unit 18 performs brightness correction on the image according to the image area, the area brightness and the brightness correction parameter. In one embodiment, in the step of obtaining the area brightness, the image area determination unit 16, in cooperation with the light measurement unit 22, estimates the average brightness of the image area as the area brightness.
In some embodiments, please refer to fig. 4, after the brightness correction parameter (gamma correction value) of the image is obtained in step S14, the image correction unit 18 may further perform brightness correction on the entire image according to the brightness correction parameter (step S15) to restore the image to the brightness of the real original scene perceived by naked eyes, and then proceed to the image region determination step of step S16, and the remaining steps are the same as the method of the embodiment shown in fig. 3, and thus are not repeated.
In some embodiments, in order to make the overall process of the image processing method more clear, the image area is set as a local area where a preceding vehicle exists, which is referred to as a preceding vehicle area, and the preceding vehicle area is taken as an example to be described in detail. Referring to fig. 1, fig. 2 and fig. 5, a plurality of environmental parameters of the images are captured (step S20), each image is captured by the image capturing unit 12 sequentially, and an automatic exposure process is performed on each image by the automatic exposure unit 20 to obtain the environmental parameters such as shutter speed and sensitivity corresponding to each image. The scene determining unit 14 determines the scene mode of the image according to the environmental parameter (in step S21), for example, but not limited to, the scene mode may be a bright light midday mode, a daytime mode, a dawn dusk mode, or a dark mode. Regardless of the scene mode, the scene determination unit 14 estimates the brightness correction parameter corresponding to each image according to the scene mode (step S22) to obtain the gamma correction value for each image. After obtaining the brightness correction parameters of the images, the image correction unit 18 first performs brightness correction on all frames of each image according to the brightness correction parameters (in step S23), so as to restore each image to the brightness of the real original scene perceived by naked eyes. Since the scene mode corresponding to each image is already known in the aforementioned step S21, it is determined whether the image is in the dark mode (step S24), if the image is not in the dark mode, the process of correcting the image is terminated (step S27), if the image is in the dark mode, the image area determination unit 16 first determines the preceding area (step S25), and the image area determination unit 16 obtains the area brightness of the preceding area and the area brightness of the preceding area in the image, where the area brightness is the average brightness of the preceding area, and can be obtained by the light measurement unit 22. Finally, the image correction unit 18 is used to perform background brightness correction on the image according to the preceding vehicle area, the area brightness and the brightness correction parameter (as step S26), that is, to perform gamma correction on the background area outside the preceding vehicle area, so that the brightness around the preceding vehicle area in the image is equivalent to the brightness in the preceding vehicle area, and the whole image is restored to the brightness of the real original scene, and the situation that the background brightness around the clear vehicle is blurred due to the difference between the background brightness outside the preceding vehicle area and the preceding vehicle area is avoided. After the background brightness correction step is completed for each image belonging to the dark mode, the image correction process is terminated (step S27).
In some embodiments, when the image is determined to belong to the dark mode, the brightness correction performs gamma correction on the background (brightness around the front area) outside the front area of the image, as shown in fig. 6, the dotted line indicates the brightness of the background before adjustment, the solid line indicates the brightness of the background after adjustment, and the front area brightness L is taken as a reference, the input image is adjusted according to the brightness ratio, for example, the 25% brightness is adjusted upwards to be 50% brightness, and the 50% brightness is adjusted upwards to be 90% brightness, so as to perform gamma correction according to the ratio. Referring to fig. 7, the dotted line indicates the background brightness before adjustment, the solid line indicates the background brightness after adjustment, and the input image is seen to be brightened upward according to a gamma curve (γ ═ 0.3) with a gamma value equal to 0.3 based on the front vehicle region brightness L, so as to perform gamma correction according to the gamma value to adjust the background brightness. In one embodiment, the gamma value may be a predetermined parameter, for example, a parameter established in advance according to the measurement before installation.
Therefore, the captured image can be changed continuously under a changing environment, for example, when the scheme is applied to an automobile image recorder, the environment of the captured image can be changed along with the movement of the automobile, so that the scheme can perform corresponding image processing procedures on the images under different environments to appropriately perform brightness correction on each image, further improve the image quality and maintain the image quality in an adaptive manner. Moreover, when the scheme is provided for a required special application to use, the application can be ensured to obtain the best effect, for example, when the scheme is applied to an image recorder for a police car, the recorded images can be ensured to be all clear pictures, the situation that the background around the car is clear is not blurred and too dark is avoided, the situation that the event cannot be clear due to the fact that partial areas in the images are not clear when the event occurs is avoided, and the application used on the police car can be ensured to obtain the best effect.
The above-described embodiments are merely illustrative of the technical spirit and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the content of the present invention and to implement the same, so that the scope of the present invention should not be limited thereto, and that all equivalent changes and modifications made in the spirit of the present invention should be covered by the scope of the present invention.
Claims (13)
1. A processing method for adjusting an image according to an environmental condition, comprising:
capturing an environmental parameter of an image;
judging a scene mode of the image according to the environmental parameter;
estimating a brightness correction parameter of the image according to the scene mode;
and performing image area judgment to obtain an image area and area brightness of the image area, and performing brightness correction on the image according to the image area, the area brightness of the image area and the brightness correction parameter.
2. The method of claim 1, wherein the brightness correction gamma corrects the background outside the image area of the image when the scene mode is a dark mode.
3. The method as claimed in claim 1, wherein in the step of obtaining the brightness of the region, an average brightness of the image region is calculated as the brightness of the region.
4. The method of claim 1, wherein the image is subjected to an auto-exposure process to obtain the environmental parameters.
5. The method as claimed in claim 4, wherein the environmental parameter is a shutter speed and a sensitivity of the image.
6. The method as claimed in claim 1, wherein the brightness correction parameter is a gamma correction value to restore the brightness of the image.
7. The method as claimed in claim 1 or 6, wherein in the step of estimating the brightness correction parameter of the image, the image is restored to brightness of a real original scene perceived by naked eyes.
8. A system for processing images in response to environmental conditions, comprising:
an image capturing unit for capturing at least one image and obtaining an environmental parameter of the image;
a scene determining unit, which is in signal connection with the image capturing unit, judges a scene mode of the image according to the environmental parameter, and generates a brightness correction parameter according to the scene mode;
an image area determination unit in signal connection with the image capturing unit, the image area determination unit performing an image area determination on the image to obtain an image area and an area brightness of the image area;
and the image correction unit is in signal connection with the scene decision unit and the image area judgment unit and is used for performing brightness correction on the image according to the image area, the area brightness and the brightness correction parameter.
9. The system of claim 8, wherein the brightness correction gamma corrects the background outside the image area of the image when the scene determination unit determines the scene mode of the image as a dark mode.
10. The system of claim 8, wherein the region brightness is an average brightness of the image region.
11. The system of claim 8, further comprising:
an automatic exposure unit, which performs automatic exposure to the capturing environment of the image, so that the image capturing unit captures the image under the supplementary light provided by the automatic exposure unit and provides the environment parameter to the image capturing unit.
12. The system of claim 11, wherein the environmental parameter is a shutter speed and a sensitivity of the image.
13. The system of claim 8, wherein the brightness correction parameter is a gamma correction value to restore brightness of the image.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110535889.3A CN113452923B (en) | 2019-02-01 | 2019-02-01 | Processing method and system for adjusting image according to environmental conditions |
| CN201910104146.3A CN111526277A (en) | 2019-02-01 | 2019-02-01 | Processing method and system for adjusting image according to environmental conditions |
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| CN201910104146.3A CN111526277A (en) | 2019-02-01 | 2019-02-01 | Processing method and system for adjusting image according to environmental conditions |
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| CN201910104146.3A Withdrawn CN111526277A (en) | 2019-02-01 | 2019-02-01 | Processing method and system for adjusting image according to environmental conditions |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5724456A (en) * | 1995-03-31 | 1998-03-03 | Polaroid Corporation | Brightness adjustment of images using digital scene analysis |
| JP4595660B2 (en) * | 2005-05-06 | 2010-12-08 | カシオ計算機株式会社 | Imaging apparatus, captured image processing method, and program |
| JP5053724B2 (en) * | 2007-06-19 | 2012-10-17 | オリンパスイメージング株式会社 | Image display apparatus, imaging apparatus, image reproduction apparatus, and image display method |
| TW200929071A (en) * | 2007-12-25 | 2009-07-01 | Altek Corp | Image processing method and image capture apparatusapplying the same |
| CN102404495B (en) * | 2010-09-10 | 2014-03-12 | 华晶科技股份有限公司 | Method for adjusting shooting parameters of digital camera |
| CN102821247B (en) * | 2011-06-07 | 2016-04-27 | 联想(北京)有限公司 | Display processing device and display processing method |
| DE102015012809A1 (en) * | 2015-10-02 | 2017-04-06 | Audi Ag | Image recording device for a motor vehicle and method for operating such an image recording device |
| US20170163852A1 (en) * | 2015-12-08 | 2017-06-08 | Le Holdings (Beijing) Co., Ltd. | Method and electronic device for dynamically adjusting gamma parameter |
| EP3206075A1 (en) * | 2016-02-10 | 2017-08-16 | Ricoh Company, Ltd. | Image display apparatus and image display method |
| CN107277356B (en) * | 2017-07-10 | 2020-02-14 | Oppo广东移动通信有限公司 | Method and device for processing human face area of backlight scene |
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2019
- 2019-02-01 CN CN202110535889.3A patent/CN113452923B/en active Active
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