CN111818281A - Image acquisition parameter adjusting method and device and computer readable storage medium - Google Patents
Image acquisition parameter adjusting method and device and computer readable storage medium Download PDFInfo
- Publication number
- CN111818281A CN111818281A CN202010679031.XA CN202010679031A CN111818281A CN 111818281 A CN111818281 A CN 111818281A CN 202010679031 A CN202010679031 A CN 202010679031A CN 111818281 A CN111818281 A CN 111818281A
- Authority
- CN
- China
- Prior art keywords
- value
- image acquisition
- image
- compensation
- compensation value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/50—Control of the SSIS exposure
- H04N25/57—Control of the dynamic range
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/70—SSIS architectures; Circuits associated therewith
- H04N25/71—Charge-coupled device [CCD] sensors; Charge-transfer registers specially adapted for CCD sensors
- H04N25/75—Circuitry for providing, modifying or processing image signals from the pixel array
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/70—SSIS architectures; Circuits associated therewith
- H04N25/76—Addressed sensors, e.g. MOS or CMOS sensors
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/70—SSIS architectures; Circuits associated therewith
- H04N25/76—Addressed sensors, e.g. MOS or CMOS sensors
- H04N25/77—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components
- H04N25/772—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components comprising A/D, V/T, V/F, I/T or I/F converters
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Input (AREA)
- Studio Devices (AREA)
Abstract
An image acquisition parameter adjusting method comprises the following steps: 1) acquiring images in a dark environment, and training the created image acquisition model; 2) carrying out image acquisition in a light environment, and calculating new image acquisition parameters; 3) acquiring images by using the new image acquisition parameters; 4) and repeating the steps 2) -3), and carrying out image acquisition in different environments. The invention also provides an image acquisition parameter adjusting device, which is used for acquiring images by automatically adjusting parameters to obtain optimal image acquisition parameters when the images are acquired each time; the collected image can fully utilize the effective bit of the analog-to-digital converter, and the image quality is improved.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to an image acquisition parameter adjusting method.
Background
The digital image acquisition technology is a process of putting optical signals into a memory through optical conversion (lens imaging), photoelectric conversion (CMOS/CCD sensor), circuit processing (amplification and filtering) and analog-to-digital conversion. High quality digital images tend to have large dynamic range and sharp details, but are limited in digital image acquisition by the bit limitations of the digital equipment (analog to digital converters and memory).
Fig. 5 is a schematic structural diagram of an existing image acquisition circuit, and as shown in fig. 5, the existing image acquisition circuit includes a compensation module, a gain module, and an analog-to-digital converter, and performs image acquisition on an object to be acquired by presetting a compensation value (including a voltage compensation value, a current compensation value, or a charge compensation value) of the compensation module and an amplification factor of the gain module. Fig. 6 is a schematic diagram of an image acquired by using a conventional image acquisition circuit, and as shown in fig. 6, when the illumination of an object to be acquired changes, the conventional image acquisition circuit acquires an image (a compensation value and a gain value) by using preset image acquisition parameters, which may cause a defect of overexposure or underexposure, and how to avoid the above-mentioned defect in image acquisition becomes a problem to be solved urgently.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides an image acquisition parameter adjusting method, an image acquisition parameter adjusting device and a computer readable storage medium.
In order to achieve the above object, the present invention provides an image acquisition parameter adjusting method, including the following steps:
1) acquiring images in a dark environment, and training the created image acquisition model;
2) carrying out image acquisition in a light environment, and calculating new image acquisition parameters;
3) acquiring images by using the new image acquisition parameters;
4) and repeating the steps 2) -3), and carrying out image acquisition in different environments.
Further, the step 1) further comprises the following steps:
under the set gain value, the light source is turned off and the lightless images with different compensation values are collected;
fitting the model parameters of the image-taking model;
wherein the gain value is a magnification factor; the compensation value is a voltage compensation value, a current compensation value or a charge compensation value.
Further, the step of fitting the model parameters of the sampling model further includes obtaining the model parameters by a least square method using the sampling model.
Further, the step 2) further comprises the following steps:
under the set gain value, the light source is started and collects a light image with a compensation value of zero;
acquiring the average value of the gray scale of the whole image, the maximum gray scale value and the minimum gray scale value of the luminous image;
acquiring a new gain value and a new compensation value;
wherein the gain value is a magnification factor; the compensation value is a voltage compensation value, a current compensation value or a charge compensation value.
Further, the obtaining of the new gain value is to obtain a new gain value according to the maximum gray value and the minimum gray value of the light image.
Further, the new compensation value is obtained according to the new gain value, the gain value set by collecting the non-light image, the full-image gray level average value of the light image, and the model parameter.
Further, the step 3) further comprises acquiring an image by using the updated gain value and the new compensation value;
wherein the gain value is a magnification factor; the compensation value is a voltage compensation value, a current compensation value or a charge compensation value.
In order to achieve the above object, the present invention further provides an image capturing parameter adjusting apparatus, comprising a controller module, a compensation module, an adder circuit, and a gain amplifier, wherein,
the controller module is used for training the constructed image acquisition model; acquiring new image acquisition parameters, controlling the compensation module and the gain amplifier, and acquiring an image under the optimal parameters; the image acquisition parameters comprise a compensation value and a gain value;
the compensation module converts the compensation value sent by the controller module into a compensation signal and sends the compensation signal to the adder circuit;
the adder circuit adds the image signal output by the image sensor and the compensation signal;
the gain amplifier is used for amplifying the output signal from the adder circuit according to the gain value sent by the controller module;
the compensation value is a compensation signal output by the compensation module and comprises a voltage compensation value, a current compensation value or a charge compensation value;
the gain value is the amplification factor of the gain amplifier.
Further, the controller module fits the image-taking model parameters to obtain model parameters of the image-taking model.
Further, the controller module obtains a new gain value and a new compensation value according to the full-image gray-scale average value, the maximum gray-scale value and the minimum gray-scale value of the bright image, and sends the new gain value and the new compensation value to the gain amplifier and the compensation module, respectively.
In order to achieve the above object, the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the image acquisition parameter adjustment method described above.
In order to achieve the above object, the present invention further provides an image capturing parameter adjusting apparatus, which includes a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform the steps of the image capturing parameter adjusting method.
Compared with the prior art, the image acquisition parameter adjusting method, the image acquisition parameter adjusting device and the computer readable storage medium have the following technical effects:
when an image is acquired each time, acquiring an optimal image acquisition parameter by automatically adjusting the parameter to acquire the image;
the acquisition is rapid, and when the image is actually acquired, the optimal image acquisition parameter can be obtained only by additionally acquiring 1 frame of image;
the collected image can fully utilize the effective bit of the analog-to-digital converter, and the image quality is improved;
the method can be widely applied to various image acquisition devices.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a method for adjusting image acquisition parameters according to the present invention;
FIG. 2 is a flow chart of image acquisition parameter extraction according to the present invention;
FIG. 3 is a block diagram of an image acquisition parameter adjustment apparatus according to the present invention;
FIG. 4 is a schematic structural diagram of an image acquisition parameter adjustment apparatus according to the present invention;
FIG. 5 is a schematic diagram of a conventional image acquisition circuit;
fig. 6 is a schematic diagram of an image acquired by using a conventional image acquisition circuit.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1
Fig. 1 is a flowchart of an image acquisition parameter adjustment method according to the present invention, and the image acquisition parameter adjustment method of the present invention will be described in detail with reference to fig. 1.
Firstly, in step 101, a picture-taking model is constructed, image acquisition parameters are set, a lightless image is acquired in a lightless environment, and the picture-taking model is trained.
In the embodiment of the invention, the constructed image-taking model is as follows:
the image gray average value M is A · offset + C;
wherein M is an image gray average value; offset is a compensation value; A. and C is a model parameter.
In the embodiment of the invention, the non-light environment is that the light source is in a closed state.
The image acquisition parameters comprise an offset value (offset) and a gain value (gain);
the compensation value is a compensation signal output by the compensation module and comprises a voltage compensation value, a current compensation value or a charge compensation value;
the gain value is the amplification factor of the gain control amplifier.
In the embodiment of the invention, in a no-light environment, two no-light images img1 and img2 with the same gain value and different compensation values are respectively acquired:
setting a gain value G and a compensation value P1(offset P1), and acquiring an image of an object in a dark environment to obtain a dark image img 1;
setting a gain value G and a compensation value P2(offset P2), and acquiring an image of an object in a dark environment to obtain a dark image img 2;
in the embodiment of the invention, the process of training the image-taking model is to fit the model parameters, and only needs to be carried out once:
fitting model parameters a and C:
M＝A·offset+C
the following are obtained by a least square method:
wherein, P1 and P2 are compensation values of the collected matte images img1 and img2 respectively; m1 and M2 are the image gray level average values of the collected lightless images img1 and img2 respectively; a and C are model parameters.
In step 102, image acquisition parameters are set, and in a light environment, light images are acquired, and new image acquisition parameters are calculated.
In an embodiment of the present invention, the bright environment is a light source in an on state.
Setting the compensation value to be zero (offset is 0) and the gain value to be G (gain is G), collecting the light image in the light environment, and calculating new compensation value and gain value according to the whole image gray scale average value, the gray scale maximum value and the gray scale minimum value of the light image.
In step 103, the image is acquired using the new image acquisition parameters.
In step 104, step 102 and step 103 are repeated, and image acquisition is performed on the object to be acquired under different environments.
In the embodiment of the invention, the new gain value and the compensation value are utilized to carry out image acquisition, and the acquired image under the optimal parameters is obtained.
Fig. 2 is a flow chart of image acquisition parameter extraction according to the present invention, and the flow chart of image acquisition parameter extraction will be described in detail with reference to fig. 2.
In step 201, image acquisition parameters are set, and an image is acquired in a light environment.
In this embodiment, the gain value is set to G, the offset value is zero (offset is 0), and the light image frame1 is collected in the light environment.
At step 202, the full-image gray scale average value M, the gray scale maximum value Max, and the gray scale minimum value Min of the light image frame1 are obtained.
In step 203, a new gain value is calculated.
In the embodiment of the invention, the new gain value is calculated by adopting the following formula:
wherein gain' is a new gain value; g is a gain value set for collecting the matte image; max image gray maximum; min image grayscale minimum, 255 is the maximum range of 8bit quantization, for Nbit quantization this value may be 2N-1。
At step 204, a new compensation value is calculated.
In this embodiment, the following formula is used to calculate a new compensation value:
wherein, the offset' is a new compensation value; gain' is a new gain value; m is the average value of the gray scale of the whole image; A. c is a model parameter; g is the gain value set for acquisition of a matte image, 128 is the intermediate value of 8bit quantization, which for Nbit quantization may be 2N-1。
Example 2
In the embodiment of the invention, the invention also provides an image acquisition parameter adjusting device, which acquires the image by using the updated gain value and the updated compensation value.
Fig. 3 is a block diagram illustrating an image capturing parameter adjusting apparatus according to the present invention, and as shown in fig. 3, the image capturing parameter adjusting apparatus of the present invention includes a controller module 301, a compensation module 302, a light source 303, an adder circuit 304, a gain amplifier 305, an image sensor 306, and an analog-to-digital converter 307, wherein,
a controller module 301 that controls the on and off state of the light source 303; constructing a picture-taking model, setting image acquisition parameters, and training the picture-taking model by utilizing a matte image acquired in a matte environment; updating image acquisition parameters by utilizing the bright images acquired in the bright environment; the compensation module 302 and the gain amplifier 305 are controlled by using the new image acquisition parameters, and the acquired image under the optimal parameters is obtained.
In the embodiment of the present invention, the mining model constructed by the controller module 301 is as follows:
the average value M of the image gray levels is a · offset + C,
wherein M is an image gray average value; offset is a compensation value; A. and C is a model parameter.
In the embodiment of the present invention, the non-light environment is that the light source 303 is in an off state; the bright environment is the light source 303 in the on state.
In an embodiment of the invention, the image acquisition parameters comprise an offset value (offset) and a gain value (gain), wherein,
the compensation value is a compensation signal output by the compensation module and comprises a voltage compensation value, a current compensation value or a charge compensation value;
the gain value is the amplification factor of the gain control amplifier.
In the embodiment of the invention, in a no-light environment, two no-light images img1 and img2 with the same gain value and different compensation values are respectively acquired:
setting a gain value G and a compensation value P1(offset P1), and acquiring an image of an object in a dark environment to obtain a dark image img 1;
setting a gain value G and a compensation value P2(offset P2), and acquiring an image of an object in a dark environment to obtain a dark image img 2;
in the embodiment of the present invention, the controller module 301 trains the sampling model, and fits the model parameters, and only needs to perform the following steps:
fitting the sampling model parameters A and C:
M＝A·offset+C
the following are obtained by a least square method:
wherein, P1 and P2 are compensation values of the collected matte images img1 and img2 respectively; m1 and M2 are the image gray level average values of the collected lightless images img1 and img2 respectively; a and C are model parameters.
In an embodiment of the present invention, the controller module 301 updates the image capturing parameters, including calculating a new gain value and a new compensation value, wherein,
the new gain value is calculated using the following formula:
wherein gain' is a new gain value; g is a gain value set for collecting the matte image; max image gray maximum; min image gray minimum.
The new compensation value is calculated using the following formula:
wherein, the offset' is a new compensation value; gain' is a new gain value; m is the average value of the gray scale of the whole image; A. c is a model parameter; g is a gain value set for collecting the lightless image.
The controller module 301 sends the calculated new compensation value and new gain value to the compensation module 302 and the gain amplifier 305, respectively.
And a compensation module 302 for converting the received new compensation value sent by the controller module 301 into a compensation signal and sending the compensation signal to an adder circuit 304.
And a light source 303 which receives control of the controller module 301 and performs switching of on/off states (off and on).
And an adder circuit 304 that adds the image signal (voltage, current, and charge signal) acquired by the image sensor 306 and the compensation signal transmitted by the compensation module, and transmits the resulting signal to the gain amplifier 305.
And a gain amplifier 305 for receiving the new gain value sent by the controller module 301, amplifying the compensated image signal sent by the adder circuit 304, and sending the amplified image signal to an analog-to-digital converter 307.
An image sensor 306 that performs image acquisition on an object to be acquired and sends an image signal to the adder circuit 304.
And an analog-to-digital converter 307 for performing analog-to-digital conversion on the compensated and amplified image signal transmitted from the received gain amplifier 305 and outputting the converted image signal.
Example 3
In an embodiment of the present invention, an image capturing parameter adjusting apparatus is further provided, fig. 4 is a schematic structural diagram of the image capturing parameter adjusting apparatus according to the present invention, as shown in fig. 4, the image capturing parameter adjusting apparatus 40 of the present invention includes a processor 401 and a memory 402, wherein,
the memory 402 stores a computer program, and when the computer program is read and executed by the processor 401, the steps in the above-described embodiment of the image capturing parameter adjusting method are performed.
Example 4
Embodiments of the present invention further provide a computer-readable storage medium, in which a computer program is stored, where the computer program is configured to, when running, execute the steps in the above-mentioned image acquisition parameter adjustment method embodiments.
In this embodiment, the computer-readable storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Those of ordinary skill in the art will understand that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. An image acquisition parameter adjusting method comprises the following steps:
1) acquiring images in a dark environment, and training the created image acquisition model;
2) carrying out image acquisition in a light environment, and calculating new image acquisition parameters;
3) acquiring images by using the new image acquisition parameters;
4) and repeating the steps 2) -3), and carrying out image acquisition in different environments.
2. The image acquisition parameter adjustment method according to claim 1, wherein the step 1) further comprises the steps of:
under the set gain value, the light source is turned off and the lightless images with different compensation values are collected;
fitting the model parameters of the image-taking model;
wherein the gain value is a magnification factor; the compensation value is a voltage compensation value, a current compensation value or a charge compensation value.
3. The method of adjusting image acquisition parameters according to claim 2, wherein the step of fitting the model parameters of the atlas model further comprises obtaining the model parameters by a least squares method using the atlas model.
4. The image acquisition parameter adjustment method according to claim 1, wherein the step 2) further comprises the steps of:
under the set gain value, the light source is started and collects a light image with a compensation value of zero;
acquiring the average value of the gray scale of the whole image, the maximum gray scale value and the minimum gray scale value of the luminous image;
acquiring a new gain value and a new compensation value;
wherein the gain value is a magnification factor; the compensation value is a voltage compensation value, a current compensation value or a charge compensation value.
5. The method according to claim 4, wherein the obtaining of the new gain value is performed according to a maximum gray-level value and a minimum gray-level value of the bright image.
6. The method according to claim 5, wherein the obtaining of the new compensation value is based on a new gain value, a gain value set for collecting the non-light image, a full-image gray-scale average value of the light image, and a model parameter.
7. The method according to claim 1, wherein the step 3) further comprises acquiring an image by using the updated gain value and the new compensation value;
wherein the gain value is a magnification factor; the compensation value is a voltage compensation value, a current compensation value or a charge compensation value.
8. An image acquisition parameter adjusting device comprises a controller module, a compensation module, an adder circuit and a gain amplifier, wherein,
the controller module is used for training the constructed image acquisition model; acquiring new image acquisition parameters, controlling the compensation module and the gain amplifier, and acquiring an image under the optimal parameters; the image acquisition parameters comprise a compensation value and a gain value;
the compensation module converts the compensation value sent by the controller module into a compensation signal and sends the compensation signal to the adder circuit;
the adder circuit adds the image signal output by the image sensor and the compensation signal;
the gain amplifier is used for amplifying the output signal from the adder circuit according to the gain value sent by the controller module;
the compensation value is a compensation signal output by the compensation module and comprises a voltage compensation value, a current compensation value or a charge compensation value;
the gain value is the amplification factor of the gain amplifier.
9. The image acquisition parameter adjustment device of claim 8, wherein the controller module fits model parameters of the scout model to obtain the model parameters of the scout model.
10. The apparatus of claim 8, wherein the controller module obtains a new gain value and a new compensation value according to the global gray average, the maximum gray value and the minimum gray value of the bright image, and sends the new gain value and the new compensation value to the gain amplifier and the compensation module, respectively.
11. 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 image acquisition parameter adjustment method according to any one of claims 1 to 7.
12. An image acquisition parameter adjustment device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the computer program to perform the steps of the image acquisition parameter adjustment method according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010679031.XA CN111818281B (en) | 2020-07-15 | 2020-07-15 | Image acquisition parameter adjusting method and device and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010679031.XA CN111818281B (en) | 2020-07-15 | 2020-07-15 | Image acquisition parameter adjusting method and device and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111818281A true CN111818281A (en) | 2020-10-23 |
| CN111818281B CN111818281B (en) | 2022-07-22 |
Family
ID=72864793
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010679031.XA Active CN111818281B (en) | 2020-07-15 | 2020-07-15 | Image acquisition parameter adjusting method and device and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111818281B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010002379A1 (en) * | 2008-06-30 | 2010-01-07 | Alves James F | Digital camera control system |
| CN102025925A (en) * | 2010-11-24 | 2011-04-20 | 杭州晟元芯片技术有限公司 | Method for self adaptation of CMOS (Complementary Metal Oxide Semiconductor) image sensor to external ray environment |
| CN105306913A (en) * | 2014-06-16 | 2016-02-03 | 聚晶半导体股份有限公司 | Image obtaining device and image compensation method thereof |
| CN107071308A (en) * | 2016-12-27 | 2017-08-18 | 福建新大陆自动识别技术有限公司 | A kind of CMOS is quickly adjusted to as system and method |
| CN107395973A (en) * | 2017-08-01 | 2017-11-24 | 科大讯飞股份有限公司 | A kind of image taking control metho and device, system |
| US20200049778A1 (en) * | 2018-08-10 | 2020-02-13 | Beijing Boe Optoelectronics Technology Co., Ltd. | Phase compensation circuit, magnetic induction imaging device and phase compensation method |
| CN110855900A (en) * | 2019-11-20 | 2020-02-28 | 何建军 | Photographing control method and system based on external flash light source and storage medium |
| CN111368596A (en) * | 2018-12-26 | 2020-07-03 | 北京眼神智能科技有限公司 | Face recognition backlight compensation method and device, readable storage medium and equipment |
-
2020
- 2020-07-15 CN CN202010679031.XA patent/CN111818281B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010002379A1 (en) * | 2008-06-30 | 2010-01-07 | Alves James F | Digital camera control system |
| CN102025925A (en) * | 2010-11-24 | 2011-04-20 | 杭州晟元芯片技术有限公司 | Method for self adaptation of CMOS (Complementary Metal Oxide Semiconductor) image sensor to external ray environment |
| CN105306913A (en) * | 2014-06-16 | 2016-02-03 | 聚晶半导体股份有限公司 | Image obtaining device and image compensation method thereof |
| CN107071308A (en) * | 2016-12-27 | 2017-08-18 | 福建新大陆自动识别技术有限公司 | A kind of CMOS is quickly adjusted to as system and method |
| CN107395973A (en) * | 2017-08-01 | 2017-11-24 | 科大讯飞股份有限公司 | A kind of image taking control metho and device, system |
| US20200049778A1 (en) * | 2018-08-10 | 2020-02-13 | Beijing Boe Optoelectronics Technology Co., Ltd. | Phase compensation circuit, magnetic induction imaging device and phase compensation method |
| CN111368596A (en) * | 2018-12-26 | 2020-07-03 | 北京眼神智能科技有限公司 | Face recognition backlight compensation method and device, readable storage medium and equipment |
| CN110855900A (en) * | 2019-11-20 | 2020-02-28 | 何建军 | Photographing control method and system based on external flash light source and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111818281B (en) | 2022-07-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7825955B2 (en) | Image pickup apparatus, exposure control method, and computer program installed in the image pickup apparatus | |
| KR101604068B1 (en) | High dynamic range imaging apparatus and method | |
| KR20080076004A (en) | Image pickup device and method of extending dynamic range thereof | |
| KR20070026190A (en) | Image pickup device and image pickup method, image pickup program, image processing device and image processing method, and image processing program | |
| US9438811B2 (en) | Exposure control apparatus, image capturing apparatus and method of controlling exposure | |
| JP4600684B2 (en) | Imaging apparatus and imaging method | |
| JP4736939B2 (en) | Imaging apparatus and image processing method | |
| JP2007082181A (en) | Imaging apparatus and image processing method | |
| TW200405731A (en) | Image processing apparatus, camera apparatus, and automatic exposure control method | |
| US20060197853A1 (en) | Solid-state image pickup apparatus for correcting a seam between divided images and a method therefor | |
| JP2003008986A (en) | Image pickup device and exposure control method | |
| CN111818281B (en) | Image acquisition parameter adjusting method and device and computer readable storage medium | |
| JP2008113337A (en) | Imaging apparatus | |
| US7876366B2 (en) | Electronic camera | |
| JP2013225724A (en) | Imaging device, control method therefor, program, and storage medium | |
| JP2018201156A (en) | Image processing apparatus and image processing method | |
| JP2018050234A (en) | Imaging apparatus and method of processing imaging apparatus | |
| JP6889720B2 (en) | Image processing equipment, image processing methods and programs | |
| JP2011009834A (en) | Imager and imaging method | |
| JP5341536B2 (en) | Imaging device | |
| JP2016201722A (en) | Imaging apparatus | |
| JP2000236475A (en) | Image pickup unit | |
| JP2011049737A (en) | Imaging apparatus and exposure control method thereof | |
| JP3864408B2 (en) | IMAGING DEVICE AND IMAGING DEVICE CONTROL METHOD | |
| JP2002057941A (en) | Long time exposure type television camera |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |