CN108377340A - One kind being based on RGB-IR sensor diurnal pattern automatic switching methods and device - Google Patents
One kind being based on RGB-IR sensor diurnal pattern automatic switching methods and device Download PDFInfo
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Abstract
The present invention proposes a kind of based on RGB IR sensor diurnal pattern automatic switching methods and device, including RGB IR sensors, bilateral optical filter, camera lens and infrared lamp, by obtaining gain and the time for exposure of RGB IR sensors, each color component mean value of RGB and IR of block statistics Bayer data；Exposure parameter P1 is determined according to the gain of acquisition and time for exposure, based on each component mean value computation image averaging saturation degree S1 of statistics RGB；If (P1>TP1)&&(S1>TS1) then day pattern switching is night pattern, while opening infrared lamp；Exposure parameter P2 is determined according to the gain of acquisition and time for exposure, the average staturation S2 of the mean value computation image of each components of the RGB based on statistics；If (P2<TP2)&&(S2>TS2) then night pattern switching is day pattern, and closes infrared lamp.The present invention can improve the accuracy for day and night switching threshold values, reduce the day and night erroneous judgement of switch mode and infrared lamp and toggle problem, save hardware cost, greatly improve system stability and reliability.
Description
Technical Field
The invention belongs to the technical field of image and video processing, and particularly relates to a day and night mode automatic switching method and device based on an RGB-IR sensor.
Background
In order to realize 24-hour monitoring video recording, light rays with various wavelengths exist in the nature, the wavelength range of the light rays recognized by human eyes is between 320nm and 760nm, the light rays exceeding 320nm to 760nm cannot be seen by human eyes, for example, CCD or CMOS imaging components of a camera such as infrared light, ultraviolet light and the like can see light rays with most wavelengths, and due to the participation of various light rays, the color restored by the camera has deviation from the color seen by naked eyes.
One method widely used in the industry to try to solve the color shift problem is to incorporate a set of dual-filter switches in the camera lens assembly. The double-filter switcher switches the filters according to the change of light, automatically starts the infrared cut-off filter in an environment with strong light, and filters infrared light from incident light through the optical filter; in an environment with weak light, the infrared cut-off filter is automatically removed, and the low-light effect of the image sensor is improved by using the response of the RGB channel to infrared light, so that the monitoring mode switching between day and night is realized. The method can well realize multiband imaging, but the built-in mechanical dual-filter switcher not only increases the volume and the cost of the camera, but also gradually deteriorates the stability and the reliability of the camera along with the increase of the use times.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a day and night mode automatic switching method and device based on an RGB-IR sensor, which removes a double-optical-filter switcher, respectively obtains RGB and IR images by using an RGB-IR image sensor, saves the hardware cost, reduces the volume of a camera, and simultaneously greatly improves the stability and the reliability of a system.
In order to solve the defects of the prior art, the invention provides an automatic day and night mode switching method based on an RGB-IR sensor, which comprises the following steps:
1) acquiring the gain and the exposure time of an RGB-IR sensor, simultaneously carrying out block statistics on the average value of each color component of RGB and IR of Bayer data, and outputting the average value of each color component R, G, B and the IR component;
2) determining an exposure parameter P1 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S1;
3) judging whether the current exposure parameter P1 is greater than a threshold parameter TP1 and whether the infrared intensity is greater than an infrared threshold parameter TS1, if (P1> TP1) & (S1> TS1), switching the day mode into the night mode, and simultaneously turning on the infrared lamp, otherwise, entering the step 1);
4) determining an exposure parameter P2 according to the gain and the exposure time obtained in the step 1, and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S2;
5) and judging whether the current exposure parameter P2 is smaller than a threshold parameter TP2 and whether the infrared intensity is smaller than an infrared threshold parameter TS2, if (P2< TP2) & (S2< TS2), switching the night mode into the day mode, and turning off the infrared lamp, otherwise, entering the step 1).
As a preferred method, the gain and exposure time determination exposure parameter P1 of step 2) is expressed as a product of the gain and the exposure time.
As a preferred method, step 2 mentions that the infrared intensity S1 is expressed by dividing the average value of the IR component by the weighted value of the average value of R, G, B components, and the calculation formula is as follows: andr, G, B and the average of the IR components, respectively.
As a preferred method, the exposure parameter P1 and the infrared intensity parameter S1 in step 2 and the exposure parameter P2 and the infrared intensity parameter S2 in step 4 are obtained by calculating each frame image in real time.
The invention also provides a day and night mode automatic switching device based on the RGB-IR sensor, which comprises the RGB-IR sensor, a double-pass filter, a lens and an infrared lamp, wherein,
1) acquiring the gain and the exposure time of an RGB-IR sensor, simultaneously carrying out block statistics on the average value of each color component of RGB and IR of Bayer data, and outputting the average value of each color component R, G, B and the IR component;
2) determining an exposure parameter P1 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S1;
3) judging whether the current exposure parameter P1 is greater than a threshold parameter TP1 and whether the infrared intensity is greater than an infrared threshold parameter TS1, if (P1> TP1) & (S1> TS1), switching the day mode into the night mode, and simultaneously turning on the infrared lamp, otherwise, entering the step 1);
4) determining an exposure parameter P2 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S2;
5) and judging whether the current exposure parameter P2 is smaller than a threshold parameter TP2 and whether the infrared intensity is smaller than an infrared threshold parameter TS2, if (P2< TP2) & (S2< TS2), switching the night mode into the day mode, and turning off the infrared lamp, otherwise, entering the step 1).
Preferably, the RGB-IR sensor is composed of a flexible wiring board and an image sensor.
As a preferred mode, the image sensor is directly fixed on the surface of the flexible circuit board, and the flexible circuit board is in signal connection with the core mainboard through a golden finger.
As an optimal mode, the lens, the optical filter and the sensor assembly are sequentially fixed through the hot melt adhesive from top to bottom, the device is more stable in structure by adopting the packaging process, the phenomena of virtual coke and dirt caused by other reasons when the device is connected with the core board are reduced, the device can be matched with different core boards, the inventory risk is reduced, and the large-scale standardized production needs are met.
Preferably, the two-way filter passes only visible light and infrared light having a wavelength of 850nm or 950 nm.
Compared with the prior art, the invention has the beneficial effects that: the invention improves the accuracy of the day and night mode switching threshold, improves the monitoring quality, and reduces the problems of misjudgment of day and night mode switching and continuous switching of the infrared lamp switch; the photoresistor is removed, and only one double-pass optical filter is used for replacing a double-optical filter switcher required by day and night switching, so that the hardware cost is saved, the volume of the camera is reduced, and the stability and the reliability of the system are greatly improved; the compatibility is improved, the requirement of large-scale production is met, and the structural stability and the competitiveness are improved.
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FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a schematic diagram of the apparatus of the present invention.
FIG. 3 is a diagram illustrating an arrangement format of RGB-IR image data according to the present invention.
Fig. 4 is a graph of the quantization response of an exemplary RGB-IR image sensor of the present invention.
FIG. 5 is a schematic view of the sealing device of the present invention.
FIG. 6 is a schematic diagram of the day and night mode switching exposure parameters and infrared intensity parameters of the present invention.
Detailed Description
The following further describes embodiments of the present invention. The following examples are intended to be illustrative of the present application only and should not be construed as limiting the present application.
As shown in fig. 1, the present invention provides an embodiment of a method for automatically switching day and night modes based on an RGB-IR sensor, which specifically includes the following steps:
1) acquiring the gain and the exposure time of an RGB-IR sensor, simultaneously carrying out block statistics on the average value of each color component of RGB and IR of Bayer data, and outputting the average value of each color component R, G, B and the IR component;
2) determining an exposure parameter P1 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S1;
3) judging whether the current exposure parameter P1 is greater than a threshold parameter TP1 and whether the infrared intensity is greater than an infrared threshold parameter TS1, if (P1> TP1) & (S1> TS1), switching the day mode into the night mode, and simultaneously turning on the infrared lamp, otherwise, entering the step 1);
4) determining an exposure parameter P2 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S2;
5) and judging whether the current exposure parameter P2 is smaller than a threshold parameter TP2 and whether the infrared intensity is smaller than an infrared threshold parameter TS2, if (P2< TP2) & (S2< TS2), switching the night mode into the day mode, and turning off the infrared lamp, otherwise, entering the step 1).
It is further noted that the exposure parameter P is expressed as a product of the gain and the exposure time. The infrared intensity S can be expressed as the average value of the IR divided by the weighted value of the average value of the R, G, B components, and is calculated by the formula: andr, G, B and the average of the IR components, respectively. The exposure parameter P and the infrared intensity parameter S are calculated for each frame of image and updated in real time. Exposure threshold parameters TP1 and TP2, and infrared intensity threshold parameters TS1 and TS2 need to be set according to empirical parameters TP and TS, where TP can be represented by multiplying exposure time by gain, and TS can be represented by infrared light/visible light, and can also be configured according to measurement parameters, in this embodiment, the measurement parameters include the following parameters: TP1 ═ 4 × 1/25, where 4 is 4 times the gain, 1/25 is the exposure time, TP2 ═ 3 × 1/25, where 3 is 3 times the gain, 1/25 is the exposure time, and TS1 ═ 0.125TS2 ═ 0.25. The threshold parameters comprise exposure threshold parameters TP1 and TP2, infrared intensity threshold parameters TS1 and TS2, and can be counted and updated in real time according to actual application scenes.
As shown in fig. 2, the present invention further provides an embodiment of an automatic switching apparatus for day and night mode based on RGB-IR sensor, comprising an RGB-IR sensor, a double pass filter, a lens and an infrared lamp, wherein,
1) acquiring the gain and the exposure time of an RGB-IR sensor, simultaneously carrying out block statistics on the average value of each color component of RGB and IR of Bayer data, and outputting the average value of each color component R, G, B and the IR component;
2) determining an exposure parameter P1 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S1;
3) judging whether the current exposure parameter P1 is greater than a threshold parameter TP1 and whether the infrared intensity is greater than an infrared threshold parameter TS1, if (P1> TP1) & (S1> TS1), switching the day mode into the night mode, and simultaneously turning on the infrared lamp, otherwise, entering the step 1);
4) determining an exposure parameter P2 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S2;
5) and judging whether the current exposure parameter P2 is smaller than a threshold parameter TP2 and whether the infrared intensity is smaller than an infrared threshold parameter TS2, if (P2< TP2) & (S2< TS2), switching the night mode into the day mode, and turning off the infrared lamp, otherwise, entering the step 1).
The embodiment of the automatic switching device based on the day and night mode of the RGB-IR sensor comprises the following specific implementation processes:
as shown in fig. 3, a typical RGB-IR filter arrangement, RGB-IR is a color filter array of an image sensor that replaces a portion of the green filter in a Bayer-type format with an infrared filter, in contrast to the Bayer-type format commonly used in image sensors. An advantage of an image sensor in an RGB-IR type format over a Bayer type format image sensor is that it can sense both visible light and infrared light.
As shown in fig. 4, a typical RGB-IR image sensor has a quantization response curve. Due to the pursuit of low-light effects, the image sensor manufacturing process and the like, the RGB channel can sense visible light with a wavelength of 400-650 nm and also can sense infrared light with a wavelength of 850nm or 950nm, and similarly, the IR channel can sense visible light while sensing infrared light. Therefore, the infrared intensity is calculated by utilizing the induction of the IR channel of the RGB-IR sensor to the infrared light, and the automatic day and night mode switching of the camera can be realized.
The device only needs to obtain the gain and the exposure time of the image sensor, multiplies the two parameters to determine the exposure parameters, simultaneously counts the mean values of RGB and IR components of Bayer data, calculates the infrared intensity of the image based on the counted mean values of the RGB and IR components, the infrared intensity can be represented by dividing the mean value of the IR with the weighted value of the mean value of R, G, B components, then compares the exposure parameters with the exposure threshold parameters, compares the infrared intensity with the intensity threshold parameters, switches the day and night mode according to the comparison result, does not need to perform complex operation processing on the image data, uses an image algorithm to replace hardware for switching, not only can save the hardware cost, but also can greatly improve the accuracy of the day and night switching threshold values, and reduces the problems of misjudgment of the day and night switching mode, the back and forth switching of an infrared lamp and the like. Compared with two filters in the prior art, the filter only selects one double-pass filter, needs a motor and a driving circuit, and has great advantage in cost.
The device of the invention consists of a lens, an RGB-IR image sensor, a double-pass filter and an infrared lamp, and is packaged into a device by using a sealing technology, and FIG. 5 is a schematic diagram of a sealed RGB-IR image sensor module.
It should be further explained that the day mode in the day and night mode switching, namely the color mode, is to turn off the infrared lamp, use the double-pass optical filter, during the color correction, need to remove the infrared component, mainly used in the daytime, the image noise is small; the night mode is a black-and-white mode, the infrared lamp is started, the double-pass filter is used, infrared components do not need to be removed, and the infrared-ray-filtering-type image sensor is mainly used at night or in a low-illumination environment and is high in image noise. The filter required for switching between day and night modes is a double-pass filter which can only allow visible light and infrared light with the wavelength of 850nm or 950nm to pass through. In practical application, the IR component in the RGB color components is removed or retained according to the requirement of day and night mode. The exposure parameter P and the infrared intensity parameter S are calculated for each frame of image and updated in real time. Exposure threshold parameters TP1 and TP2, and infrared intensity threshold parameters TS1 and TS2 need to be set according to empirical parameters, can be configured according to measurement and calculation parameters, and can be counted according to actual application scenes and updated in real time. The day and night mode automatic switching is relatively independent, the judgment can be simultaneously realized, the judgment is reduced, and the efficiency is improved. The switching function is accurately controlled by an algorithm to switch, the induction of a photoresistor component is not needed, and the switching of the optical filters is not needed by using a double-optical-filter switcher.
It should be further explained that the RGB-IR sensor is composed of a flexible circuit board and an image sensor, the image sensor is directly fixed on the surface of the flexible circuit board, and the flexible circuit board is in signal connection with the core motherboard through a gold finger. Lens, light filter and sensor module from last down loop through the hot melt adhesive fixedly, adopt this kind of packaging technology to make device structure nature more stable, reduce and the kernel board between be connected because the virtual burnt, the dirty phenomenon that other reasons lead to, can do and match with different kernel boards, reduce the inventory risk, adapt to large-scale standardized production needs.
As shown in fig. 6, the exp curve is the exposure parameter and the stren curve is the infrared intensity. Day to night: the exposure parameter P1 is increased to the threshold TP1, and the infrared intensity is greater than TS1, and the mode can be switched to night mode, in the switching process, because of the light supplement of the infrared lamp, the exposure parameter P1 is increased and is firstly reduced and then gradually increased, and the infrared intensity S is changed greatly compared with the infrared intensity S before the mode is switched and is obviously greater than TS.
From night to day: the exposure parameter P2 is reduced to the threshold TP2, the infrared intensity is smaller than TS2, the day mode can be switched, in the switching process, because the supplementary lighting of the infrared lamp is turned off, the exposure parameter P2 is increased firstly and then reduced gradually, and the infrared intensity S is changed greatly compared with that before the mode switching, and is obviously smaller than TS.
Because the infrared intensity variation delta S is obviously changed before and after the day and night mode switching, the method for switching the day and night mode does not have the oscillation phenomenon of infrared lamp flickering.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned examples, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (9)
1. A day and night mode automatic switching method based on an RGB-IR sensor is characterized by comprising the following steps:
1) acquiring the gain and the exposure time of an RGB-IR sensor, simultaneously carrying out block statistics on the average value of each color component of RGB and IR of Bayer data, and outputting the average value of each color component R, G, B and the IR component;
2) determining an exposure parameter P1 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S1;
3) judging whether the current exposure parameter P1 is greater than a threshold parameter TP1 and whether the infrared intensity is greater than an infrared threshold parameter TS1, if (P1> TP1) & (S1> TS1), switching the day mode into the night mode, and simultaneously turning on the infrared lamp, otherwise, entering the step 1);
4) determining an exposure parameter P2 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S2;
5) and judging whether the current exposure parameter P2 is smaller than a threshold parameter TP2 and whether the infrared intensity is smaller than an infrared threshold parameter TS2, if (P2< TP2) & (S2< TS2), switching the night mode into the day mode, turning off the infrared lamp, and otherwise, entering the step 1).
2. The RGB-IR sensor based day and night mode automatic switching method of claim 1, wherein the step 2) gain and exposure time determination exposure parameter P1 is expressed by a product of gain and exposure time.
3. The RGB-IR sensor day and night mode automatic switching method of claim 1, wherein the step 2) mentions that the infrared intensity S1 is represented by dividing the average value of the IR component by the weighted value of the average value of R, G, B components, and the calculation formula is as follows:wherein, to be receivedR, G, B and the average of the IR components, respectively.
4. The RGB-IR sensor based day and night mode automatic switching method of claim 1, wherein the step 2) referring to the exposure parameter P1 and the infrared intensity parameter S1 and the step 4) referring to the exposure parameter P2 and the infrared intensity parameter S2 are obtained by calculating each frame image in real time.
5. An automatic switching device based on an RGB-IR sensor day and night mode is characterized by comprising an RGB-IR sensor, a double-pass filter, a lens and an infrared lamp, wherein,
1) acquiring the gain and the exposure time of an RGB-IR sensor, simultaneously carrying out block statistics on the average value of each color component of RGB and IR of Bayer data, and outputting the average value of each color component R, G, B and the IR component;
2) determining an exposure parameter P1 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S1;
3) judging whether the current exposure parameter P1 is greater than a threshold parameter TP1 and whether the infrared intensity is greater than an infrared threshold parameter TS1, if (P1> TP1) & (S1> TS1), switching the day mode into the night mode, and simultaneously turning on the infrared lamp, otherwise, entering the step 1);
4) determining an exposure parameter P2 according to the gain and the exposure time obtained in the step 1), and calculating the infrared intensity of the image based on the statistical mean value of RGB and IR components S2;
5) and judging whether the current exposure parameter P2 is smaller than a threshold parameter TP2 and whether the infrared intensity is smaller than an infrared threshold parameter TS2, if (P2< TP2) & (S2< TS2), switching the night mode into the day mode, turning off the infrared lamp, and otherwise, entering the step 1).
6. The RGB-IR sensor day and night mode automatic switching apparatus according to claim 5, wherein the RGB-IR sensor is composed of a flexible wiring board and an image sensor.
7. The RGB-IR sensor based day and night mode automatic switching device as claimed in claim 6, wherein the image sensor is directly fixed on the surface of the flexible circuit board, and the flexible circuit board is connected with the core motherboard through gold fingers.
8. The RGB-IR sensor based day and night mode automatic switching apparatus according to claim 5, 6 or 7, wherein the lens, the optical filter and the sensor assembly are sequentially fixed by a hot melt adhesive from top to bottom.
9. The RGB-IR sensor based day and night mode auto-switching device as claimed in claim 5, wherein the double pass filter passes only visible light and infrared light with a wavelength of 850nm or 950 nm.
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| CN115689887A (en) * | 2022-10-28 | 2023-02-03 | 辉羲智能科技(上海)有限公司 | Automatic driving RGBIR image resampling method, system, terminal and medium |
| CN118524283A (en) * | 2022-02-08 | 2024-08-20 | 安讯士有限公司 | IR cut filter switching control |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005006066A (en) * | 2003-06-12 | 2005-01-06 | Acutelogic Corp | Color filter for solid-state image pickup element and color image pickup device |
| CN104639923A (en) * | 2015-02-04 | 2015-05-20 | 华为技术有限公司 | Method and device for processing image data, and terminal |
| CN104660896A (en) * | 2015-02-06 | 2015-05-27 | 福建福特科光电股份有限公司 | Camera shooting method and device of day and night lens without IR-Cut (infrared-cut) switcher |
| CN104735427A (en) * | 2013-12-24 | 2015-06-24 | 浙江大华技术股份有限公司 | Image sensor |
| US20160295133A1 (en) * | 2015-04-06 | 2016-10-06 | Heptagon Micro Optics Pte. Ltd. | Cameras having a rgb-ir channel |
| US20160316153A1 (en) * | 2013-12-17 | 2016-10-27 | Brightway Vision Ltd. | System for controlling pixel array sensor with independently controlled sub pixels |
| CN106231179A (en) * | 2016-07-29 | 2016-12-14 | 浙江大华技术股份有限公司 | One the most double optical-filter switcher changing method and device |
| CN106454099A (en) * | 2016-10-25 | 2017-02-22 | 武汉烽火众智数字技术有限责任公司 | day-night mode switching method of improved video camera |
| CN106488209A (en) * | 2016-09-29 | 2017-03-08 | 杭州雄迈集成电路技术有限公司 | A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental |
| CN107360405A (en) * | 2016-05-09 | 2017-11-17 | 比亚迪股份有限公司 | Imaging sensor, imaging method and imaging device |
-
2018
- 2018-05-10 CN CN201810444462.0A patent/CN108377340B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005006066A (en) * | 2003-06-12 | 2005-01-06 | Acutelogic Corp | Color filter for solid-state image pickup element and color image pickup device |
| US20160316153A1 (en) * | 2013-12-17 | 2016-10-27 | Brightway Vision Ltd. | System for controlling pixel array sensor with independently controlled sub pixels |
| CN104735427A (en) * | 2013-12-24 | 2015-06-24 | 浙江大华技术股份有限公司 | Image sensor |
| CN104639923A (en) * | 2015-02-04 | 2015-05-20 | 华为技术有限公司 | Method and device for processing image data, and terminal |
| CN104660896A (en) * | 2015-02-06 | 2015-05-27 | 福建福特科光电股份有限公司 | Camera shooting method and device of day and night lens without IR-Cut (infrared-cut) switcher |
| US20160295133A1 (en) * | 2015-04-06 | 2016-10-06 | Heptagon Micro Optics Pte. Ltd. | Cameras having a rgb-ir channel |
| CN107360405A (en) * | 2016-05-09 | 2017-11-17 | 比亚迪股份有限公司 | Imaging sensor, imaging method and imaging device |
| CN106231179A (en) * | 2016-07-29 | 2016-12-14 | 浙江大华技术股份有限公司 | One the most double optical-filter switcher changing method and device |
| CN106488209A (en) * | 2016-09-29 | 2017-03-08 | 杭州雄迈集成电路技术有限公司 | A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental |
| CN106454099A (en) * | 2016-10-25 | 2017-02-22 | 武汉烽火众智数字技术有限责任公司 | day-night mode switching method of improved video camera |
Non-Patent Citations (1)
| Title |
|---|
| 朱进 等;: "低照度夜视成像的自然感彩色化及增强方法", 光子学报, no. 04, pages 165 - 174 * |
Cited By (33)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3852350A4 (en) * | 2018-09-14 | 2022-03-23 | Zhejiang Uniview Technologies Co., Ltd. | AUTOMATIC EXPOSURE METHOD AND DEVICE FOR A DOUBLE LIGHT IMAGE AND A DOUBLE LIGHT CAMERA AND MACHINE STORAGE MEDIUM |
| CN112602316B (en) * | 2018-09-14 | 2022-06-24 | 浙江宇视科技有限公司 | Dual-light image automatic exposure method, device, dual-light image camera and machine storage medium |
| CN112602316A (en) * | 2018-09-14 | 2021-04-02 | 浙江宇视科技有限公司 | Automatic exposure method and device for double-light image, double-light image camera and machine storage medium |
| US11689785B2 (en) | 2018-09-14 | 2023-06-27 | Zhejiang Uniview Technologies Co., Ltd. | Dual-spectrum image automatic exposure method and apparatus, and dual-spectrum image camera and machine storage medium |
| CN110493535B (en) * | 2019-05-31 | 2021-09-28 | 杭州海康威视数字技术股份有限公司 | Image acquisition device and image acquisition method |
| CN110493535A (en) * | 2019-05-31 | 2019-11-22 | 杭州海康威视数字技术股份有限公司 | The method of image collecting device and Image Acquisition |
| CN110493537A (en) * | 2019-06-14 | 2019-11-22 | 杭州海康威视数字技术股份有限公司 | Image collecting device and image-pickup method |
| TWI740316B (en) * | 2019-12-20 | 2021-09-21 | 晶睿通訊股份有限公司 | Day-mode-night-mode switching method and related monitoring camera apparatus |
| US11310421B2 (en) | 2019-12-20 | 2022-04-19 | Vivotek Inc. | Day-mode-night-mode switching method and related monitoring camera apparatus |
| CN111010515B (en) * | 2019-12-26 | 2021-08-20 | 杭州涂鸦信息技术有限公司 | Day and night switching method and device for camera |
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