CN106488209A - A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental - Google Patents

A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental Download PDF

Info

Publication number
CN106488209A
CN106488209A CN201610864329.1A CN201610864329A CN106488209A CN 106488209 A CN106488209 A CN 106488209A CN 201610864329 A CN201610864329 A CN 201610864329A CN 106488209 A CN106488209 A CN 106488209A
Authority
CN
China
Prior art keywords
rgb
infrared
passage
channel
component
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.)
Pending
Application number
CN201610864329.1A
Other languages
Chinese (zh)
Inventor
王军
陈阳
陈咏
黄兴婷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Mai Integrated Circuit Technology Co Ltd
Original Assignee
Hangzhou Mai Integrated Circuit Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hangzhou Mai Integrated Circuit Technology Co Ltd filed Critical Hangzhou Mai Integrated Circuit Technology Co Ltd
Priority to CN201610864329.1A priority Critical patent/CN106488209A/en
Publication of CN106488209A publication Critical patent/CN106488209A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/64Circuits for processing colour signals
    • H04N9/646Circuits for processing colour signals for image enhancement, e.g. vertical detail restoration, cross-colour elimination, contour correction, chrominance trapping filters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80Camera processing pipelines; Components thereof
    • H04N23/84Camera processing pipelines; Components thereof for processing colour signals
    • H04N23/88Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control

Abstract

A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental, it comprises the following steps:1) input RGB IR image from RGB IR imageing sensor, interpolation processing is carried out to this RGB IR image, is calculated the RGB channel of each pixel position and the numerical value of IR passage, obtains RGB the and IR image in full width face;2) R, G, channel B numerical value are deducted the numerical value of the IR passage of correspondence position, obtain the numerical value of the actual RGB channel of each pixel position, that is, obtain the RGB channel value filtering infrared light component;3) to step 2) R, G, channel B carry out WB colour temperature and CCM color correction, the RGB image after output calibration.The inventive method advantage is not use IR CUT to can reach the real-time elimination impact to RGB channel for multiple infrared components, reaches the impact to RGB channel of the colour temperature and color that correct visible ray;Infrared component can be separated in real time by direct computing method, calculating correction matrix that need not be numerous and diverse, step is more succinct, and controllability is higher, and the adaptivity of infrared environmental is more preferable.

Description

A kind of color calibration method of the RGB-IR imageing sensor based on infrared environmental
Technical field
A kind of image color correction method involved in the present invention, more particularly, to a kind of RGB-IR figure based on many infrared environmental As the color calibration method of sensor, can be applicable to the technical fields such as security protection, vehicle-carried mobile, home security, home furnishings intelligent.
Background technology
Safety monitoring, in order to realize 24 hours monitoring videos, had both needed to utilize infrared light filling in the case that ambient light illumination is low Realize night vision technology, need to eliminate the impact to RGB channel for the infrared light again in the case of ambient light illumination is sufficient.Wide in the industry at present A kind of method of general employing is built-in one group double optical-filter switcher (IR-CUT) in camera lens group.IR-CUT relies on light The change of line, to switch optical filter, in the strong environment of light, automatically turns on cutoff filter, by optical filter from entering Penetrate and in light, filter out infrared light;In the weak environment of light, automatically remove cutoff filter, using RGB channel to infrared The response of light lifts the low light effect of imageing sensor, thus realizing daytime and the switching of night monitor mode.This method energy Enough realize multi-spectral imaging well, but built-in mechanical IR-CUT not only can increase volume and the cost of video camera, And the increase with access times, the stability of video camera and reliability also can gradually be deteriorated.Therefore, remove IR-CUT, profit Separately obtain RGB and IR image with RGB-IR imageing sensor and will have bigger advantage.
Additionally, the change of various environmental factorss all can cause the difference of colour temperature.Colour temperature is higher, photochromic more blue;Colour temperature is got over Low then more partially red.And the visual system of people has color constancy, environmental factorss can be eliminated to a certain extent to color Impact, thus the correctly intrinsic color of perceptual object itself.But photographic head does not but possess such adaptive ability.For Press close to the visual standards of people, existing image processing techniquess are passed through white balance (White Balance, abbreviation WB) to correct color Temperature is so that the image color shooting under various light and the image color seen of human eye are pressed close to.Further, since different biographies Sensor is also different with the response that the visual system phase of people compares color to the response of different light colors, so needing also exist for The color of image is done and corrects with the vision close to people accordingly.The global image color calibration method commonly used at present is color school Positive matrices (Color Correction Matrix, abbreviation CCM).
RGB-IR is a kind of color filter array (Color Filter Array, abbreviation CFA) of imageing sensor, its with The Bayer type form CFA that imageing sensor commonly uses compares, and the part-green filter in Bayer type form is replaced by RGB-IR It is changed to infrared filter (Infrared, abbreviation IR).The imageing sensor of RGB-IR type form passes with respect to Bayer type format-pattern The advantage of sensor is can to sense visible ray and infrared light simultaneously.Fig. 1 is typical RGB-IR filter arrangement mode.Below for row Literary composition is convenient, unifies the covered red filter of institute, green filter, blue filter and infrared filter on imageing sensor in literary composition It is referred to as R passage, G passage, channel B and IR passage successively.
Fig. 2 is a kind of quantization response curve of typical RGB-IR imageing sensor.Due to pursuing low light effect and image The reasons such as sensor manufacturing process, RGB channel also can sense infrared light while sensing visible ray (400~650nm) (850nm), in the same manner, IR passage also can sense visible ray while sensing infrared light.Therefore, seek simple and feasible correction side Method, eliminates the impact to RGB channel for the infrared light and is extremely important.
Correct colour temperature, the method for color change of infrared component and visible ray present in prior art simultaneously, but it is not The energy multiple infrared component of real time correction, and the method correcting is complicated, the low shortcoming of controllability.
Chinese patent application CN103686111A discloses a kind of " color calibration method based on RGBIR imageing sensor And device ", although this bearing calibration achieves the function of color correction to a certain extent, it is by calculating correction matrix Method, step is loaded down with trivial details, and the adaptivity of different infrared environmental is poor, and substantially can not correct multiple infrared components simultaneously.
Content of the invention
The invention aims to overcoming above-mentioned the deficiencies in the prior art, and one kind is provided to be based on infrared environmental Under RGB-IR imageing sensor color calibration method, the impact to RGB channel for the multiple infrared component of the method real time correction, And correct the impact of the colour temperature of visible ray, color change, advantage be not use IR-CUT can reach real-time eliminate multiple The impact to RGB channel for the infrared component, simultaneously compatible single infrared environment, thus reach colour temperature and the color of correction visible ray Impact to RGB channel.
To achieve these goals, the technical solution used in the present invention is:
A kind of color calibration method of the RGB-IR imageing sensor based on infrared environmental, it comprises the following steps:
1) input RGB-IR image, interpolation processing is carried out to this RGB-IR image, is calculated each pixel position RGB channel and the numerical value of IR passage, obtain RGB the and IR image in full width face;
2) R, G, channel B numerical value are deducted the numerical value of the IR passage of correspondence position, obtain the reality of each pixel position The numerical value of RGB channel, that is, obtain the RGB channel value filtering infrared light component;
3) to step 2) R, G, channel B carry out WB colour temperature and CCM color correction, the RGB image after output calibration.
Further it is improved by, described interpolation processing is linear interpolation or gradient interpolation.
Further it is improved by, described RGB-IR imageing sensor collocation optical filter and optical filter, it senses wavelength Visible ray for 400-650nm and sensing wavelength 850nm infrared light, IR passage also senses visible while sensing infrared light Light.
Further be improved by, above-mentioned steps 2) in obtain filter infrared light component RGB channel value method as follows:
Calculate image R, G, B and IR four-way pixel value, as the R of formula one0、G0、B0、IR0, wherein R0、G0、B0For each The visible light component of passage (R, G, B) and infrared light component (IR0) superposition, IR0For the superposition of multiple infrared components, i.e. R0=R+ IR0, G0=G+IR0, B0=B+IR0, by the R of original image0、G0、B0Passage numerical value deducts the IR of correspondence position0The numerical value of passage, obtains The R arrivingc、Gc、BcFor eliminating the RGB channel value of IR component;
Formula one:
Further be improved by, infrared light supply quantity can be one or two or multiple, if an infrared light supply bar IR in formula one under part0=IRa;If the IR in formula one under the conditions of multiple infrared light supplies0=IRa+IRb+IRc+IRd+ ..., lead to Cross formula one and calculate acquisition RGB channel value,
Further it is improved by, in formula one, α, β, γ are controllable factor, that is,:Rc=R0-α*IR0, wherein 0≤α≤1; Gc=G0-β*IR0, wherein 0≤β≤1;Bc=B0-γ*IR0, wherein 0≤γ≤1.
When α=0, represent the infrared component not eliminating R passage;When α=1, represent the whole infrared components eliminating R passage; As 0 < α < 1, eliminate a certain proportion of infrared component of R passage.In the same manner, when β=0, represent the infrared component not eliminating G passage; When β=1, represent the whole infrared components eliminating G passage;As 0 < β < 1, eliminate a certain proportion of infrared component of G passage.Also same Reason, when γ=0, represents the infrared component not eliminating channel B;When γ=1, represent the whole infrared components eliminating channel B;When 0 < γ < 1, eliminates a certain proportion of infrared component of channel B;By configuring the size of α, β, γ, to eliminate corresponding R, G, B and to lead to The IR component of the corresponding proportion in road.Additionally, the brightness of controllable factor α, β, γ and current pixel point is closely related.
The present invention passes through to correct twice, corrects eliminate original RGB-IR image in real time infrared one or more point for the first time The impact to RGB channel for the amount, second-order correction eliminates the impact to RGB channel of the colour temperature and color of visible ray, completes to many The color correction of the RGB-IR imageing sensor of infrared environmental, makes the color of image after correction press close to the visual standards of people.
Present invention advantage compared with prior art:1st, the inventive method had both gone for the RGB- of many infrared environmental The color correction of IR imageing sensor, is also compatible with the color correction of the RGB-IR imageing sensor under single infrared environmental.2nd, straight Connect calculating method and can separate infrared component in real time, calculating correction matrix that need not be numerous and diverse, step is more succinct, and controllability is higher, infrared The adaptivity of environment is more preferable.3rd, the inventive method eliminates the impact to RGB channel for the infrared component simultaneously, also corrects visible ray The impact to RGB channel of colour temperature and color change.
Brief description
Fig. 1 is a kind of typical RGB-IR filter arrangement mode.
Fig. 2 is a kind of quantization response curve of typical RGB-IR imageing sensor.
Fig. 3 is the color calibration method block diagram of the present invention.
Fig. 4 is RGB-IR imageing sensor color calibration method example under the multiple infrared environmental of the present invention.
Fig. 5 is RGB-IR imageing sensor color calibration method example under a kind of infrared environmental of the present invention.
Specific embodiment
Below embodiments of the invention are further described, following examples are only carried out furtherly to the application Bright, should not be construed as the restriction to the application.
A kind of block diagram of the color calibration method of RGB-IR imageing sensor based on infrared environmental as shown in Figure 3, it Comprise the following steps:
1) input RGB-IR image from RGB-IR imageing sensor, interpolation processing is carried out to this RGB-IR image, calculates To the RGB channel of each pixel position and the numerical value of IR passage, obtain RGB the and IR image in full width face;
2) R, G, channel B numerical value are deducted the numerical value of the IR passage of correspondence position, obtain the reality of each pixel position The numerical value of RGB channel, that is, obtain the RGB channel value filtering infrared light component;
3) to step 2) R, G, channel B carry out WB colour temperature and CCM color correction, the RGB image after output calibration.
Further being improved by of described color calibration method, described interpolation processing includes linear interpolation and gradient is inserted Value.
Described RGB-IR imageing sensor collocation optical filter and optical filter, its sensing wavelength is the visible of 400-650nm Light and sensing wavelength 850nm infrared light, IR passage also senses visible ray while sensing infrared light.
Step 2) obtain filter infrared light component RGB channel value method as follows:
Calculate image R, G, B and IR four-way pixel value, as the R of formula one0、G0、B0、IR0, wherein R0、G0、B0For each The visible light component of passage (R, G, B) and infrared light component (IR0) superposition, IR0For the superposition of multiple infrared components, i.e. R0=R+ IR0, G0=G+IR0, B0=B+IR0, by the R of original image0、G0、B0Passage numerical value deducts the IR of correspondence position0The numerical value of passage, obtains The R arrivingc、Gc、BcFor eliminating the RGB channel value of IR component;
Formula one:
Infrared light supply quantity can be one or two or multiple, if IR in formula one under the conditions of an infrared light supply0= IRa;If the IR in formula one under the conditions of multiple infrared light supplies0=IRa+IRb+IRc+IRd+ ..., calculated by formula one and obtain RGB channel value, wherein IRa, IRb, IRc, IRd... under many infrared environmental, the response of the infrared component to light source for this pixel.
In formula one, α, β, γ are controllable factor, 0≤α≤1;0≤β≤1;0≤γ≤1, when α=0, represents and does not eliminate R The infrared component of passage;When α=1, represent the whole infrared components eliminating R passage;As 0 < α < 1, eliminate R passage certain proportion Infrared component;
In the same manner, when β=0, represent the infrared component not eliminating G passage;When β=1, represent and eliminate the whole infrared of G passage Component;As 0 < β < 1, eliminate a certain proportion of infrared component of G passage;
When γ=0, represent the infrared component not eliminating channel B;When γ=1, represent eliminate channel B whole infrared point Amount;As 0 < γ < 1, eliminate a certain proportion of infrared component of channel B;By configuring the size of α, β, γ, to eliminate corresponding R, G, the IR component of the corresponding proportion of channel B.
Embodiment 1:
As shown in figure 4, the color calibration method of the RGB-IR imageing sensor under many infrared environmental, it includes walking as follows Suddenly:
D65 light source and A light source are irradiated A, B region respectively, the bimodal optical filter of RGB-IR imageing sensor collocation shoots to be put Put the colour atla in A, B region;
Linear interpolation is carried out to the original image of RGB-IR imageing sensor response, calculates image four-way pixel value, make R for formula one0、G0、B0、IR0.Wherein R0、G0、B0For the superposition of the visible light component of each passage and infrared light component, IR0For many (this embodiment lists the environment of two kinds of infrared components, but this method is not limited to two kinds infrared point for the superposition of kind infrared component The environment of amount, but also two or more).I.e. R0=R+IR0、G0=G+IR0、B0=B+IR0、IR0=IRa+IRb.Wherein IRaFor The response to A light source infrared component for this pixel, IRbFor the response to D65 light source infrared component for this pixel;
Formula one:
As shown in formula one, the R of original image0、G0、B0Passage numerical value deducts the IR of correspondence position0The numerical value of passage, obtains Rc、Gc、BcFor eliminating the RGB channel value of IR component
As shown in formula one, the R of original image0、G0、B0Passage numerical value deducts the IR of correspondence position0The numerical value of passage, obtains Rc、Gc、BcFor eliminating the RGB channel value of IR component.Wherein α, β, γ are controllable factor (0≤α≤1;0≤β≤1;0≤γ≤ 1).When α=0, represent the infrared component not eliminating R passage;When α=1, represent the whole infrared components eliminating R passage;As 0 < α < 1, eliminates a certain proportion of infrared component of R passage.When β=0, represent the infrared component not eliminating G passage;When β=1, represent Eliminate whole infrared components of G passage;As 0 < β < 1, eliminate a certain proportion of infrared component of G passage.When γ=0, represent not Eliminate the infrared component of channel B;When γ=1, represent the whole infrared components eliminating channel B;As 0 < γ < 1, eliminate channel B A certain proportion of infrared component.The IR of the corresponding proportion of corresponding R, G, channel B by configuring the size of α, β, γ, can be eliminated Component.The present embodiment controllable factor default configuration be 1 value, be completely eliminated RGB channel infrared component impact (timing can basis It is actually needed adjustment controllable parameter to eliminate the infrared light component of different proportion), the present invention is led to the RGB eliminating infrared component Road image carries out WB and CCM correction, solves the colour cast problem that the colour temperature of visible ray and color change cause.Embodiment of the present invention institute The many infrared environmental stated are not limited only to mixing light source that D65 light source and A color temperature light sources are formed or other kinds of mixed Closing light source, and many infrared environmental such as, indoor and outdoors the dusk time-division.
Embodiment 2:
As shown in figure 5, the color calibration method of the RGB-IR imageing sensor under single infrared environmental, it includes as follows Step:
D65 light source (being not limited only to D65 light source, be also applied for any monochromater) is irradiated the area placing colour atla Domain, the bimodal optical filter of RGB-IR imageing sensor collocation shoots the colour atla of D65 light source irradiation area;
Linear interpolation is carried out to the original image of RGB-IR imageing sensor response, calculates image four-way pixel value, make R for formula one0、G0、B0、IR0.Wherein R0、G0、B0For the superposition of the visible light component of each passage and infrared light component, IR0For one Plant infrared component.I.e. R0=R+IR0、G0=G+IR0、B0=B+IR0.Wherein IR0For this pixel to D65 light source infrared component Response;
Formula one:
As shown in formula one, the R of original image0、G0、B0Passage numerical value deducts the IR of correspondence position0The numerical value of passage, obtains Rc、Gc、BcFor eliminating the RGB channel value of IR component.Wherein α, β, γ are controllable factor (0≤α≤1;0≤β≤1;0≤γ≤ 1).When α=0, represent the infrared component not eliminating R passage;When α=1, represent the whole infrared components eliminating R passage;As 0 < α < 1, eliminates a certain proportion of infrared component of R passage.When β=0, represent the infrared component not eliminating G passage;When β=1, represent Eliminate whole infrared components of G passage;As 0 < β < 1, eliminate a certain proportion of infrared component of G passage.When γ=0, represent not Eliminate the infrared component of channel B;When γ=1, represent the whole infrared components eliminating channel B;As 0 < γ < 1, eliminate channel B A certain proportion of infrared component.The IR of the corresponding proportion of corresponding R, G, channel B by configuring the size of α, β, γ, can be eliminated Component.The present embodiment controllable factor default configuration be 1 value, be completely eliminated RGB channel infrared component impact (timing can basis It is actually needed adjustment controllable parameter to eliminate the infrared light component of different proportion).The present invention is led to the RGB eliminating infrared component Road image carries out WB and CCM correction, solves the colour cast problem that the colour temperature of visible ray and color change cause.
Interpolation method described in the embodiment of the present invention is not limited only to linear interpolation, also includes the additive methods such as gradient difference value.
The above is only the preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-described embodiment, All technical schemes belonging under thinking of the present invention belong to protection scope of the present invention.It should be pointed out that for the art For those of ordinary skill, some improvements and modifications without departing from the principles of the present invention, these improvements and modifications also should It is considered as protection scope of the present invention.

Claims (6)

1. a kind of color calibration method of the RGB-IR imageing sensor based on infrared environmental is it is characterised in that include following walking Suddenly:
1) input RGB-IR image from RGB-IR imageing sensor, interpolation processing is carried out to this RGB-IR image, be calculated every The RGB channel of individual pixel position and the numerical value of IR passage, obtain RGB the and IR image in full width face;
2) R, G, channel B numerical value are deducted the numerical value of the IR passage of correspondence position, the actual RGB obtaining each pixel position leads to The numerical value in road, that is, obtain the RGB channel value filtering infrared light component;
3) to step 2) R, G, channel B carry out WB colour temperature and CCM color correction, the RGB image after output calibration.
2. the color calibration method of a kind of RGB-IR imageing sensor based on infrared environmental according to claim 1, its It is characterised by:Described interpolation processing is linear interpolation or gradient interpolation.
3. the color calibration method of a kind of RGB-IR imageing sensor based on infrared environmental according to claim 1, its It is characterised by:Described RGB-IR imageing sensor collocation optical filter and optical filter, its sensing wavelength is the visible of 400-650nm Light and sensing wavelength 850nm infrared light, IR passage also senses visible ray while sensing infrared light.
4. the color calibration method of a kind of RGB-IR imageing sensor based on infrared environmental according to claim 1, its Be characterised by, step 2) obtain filter infrared light component RGB channel value method as follows:
Calculate image R, G, B and IR four-way pixel value, as the R of formula one0、G0、B0、IR0, wherein R0、G0、B0For each passage It can be seen that light component (R, G, B) and infrared light component (IR0) superposition, IR0For the superposition of multiple infrared components, i.e. R0=R+IR0, G0 =G+IR0, B0=B+IR0, by the R of original image0、G0、B0Passage numerical value deducts the IR of correspondence position0The numerical value of passage, obtains Rc、Gc、BcFor eliminating the RGB channel value of IR component;
Formula one:
5. the color calibration method of a kind of RGB-IR imageing sensor based on infrared environmental according to claim 4, its It is characterised by:Infrared light supply quantity can be one or two or multiple, if IR in formula one under the conditions of an infrared light supply0= IRa;If the IR in formula one under the conditions of multiple infrared light supplies0=IRa+IRb+IRc+IRd+ ..., calculated by formula one and obtain RGB channel value, wherein IRa, IRb, IRc, IRd... under many infrared environmental, the response of the infrared component to light source for this pixel.
6. the color calibration method of a kind of RGB-IR imageing sensor based on infrared environmental according to claim 4, its It is characterised by:In formula one, α, β, γ are controllable factor, 0≤α≤1;0≤β≤1;0≤γ≤1, when α=0, represents and does not eliminate R The infrared component of passage;When α=1, represent the whole infrared components eliminating R passage;As 0 < α < 1, eliminate R passage certain proportion Infrared component;
In the same manner, when β=0, represent the infrared component not eliminating G passage;When β=1, represent the whole infrared components eliminating G passage; As 0 < β < 1, eliminate a certain proportion of infrared component of G passage;
When γ=0, represent the infrared component not eliminating channel B;When γ=1, represent the whole infrared components eliminating channel B;When 0 < γ < 1, eliminates a certain proportion of infrared component of channel B;By configuring the size of α, β, γ, to eliminate corresponding R, G, B and to lead to The IR component of the corresponding proportion in road.
CN201610864329.1A 2016-09-29 2016-09-29 A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental Pending CN106488209A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610864329.1A CN106488209A (en) 2016-09-29 2016-09-29 A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610864329.1A CN106488209A (en) 2016-09-29 2016-09-29 A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental

Publications (1)

Publication Number Publication Date
CN106488209A true CN106488209A (en) 2017-03-08

Family

ID=58269084

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610864329.1A Pending CN106488209A (en) 2016-09-29 2016-09-29 A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental

Country Status (1)

Country Link
CN (1) CN106488209A (en)

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108184076A (en) * 2018-02-01 2018-06-19 天津天地伟业信息系统集成有限公司 A kind of brightness calculation algorithm based on Color Statistical
CN108377340A (en) * 2018-05-10 2018-08-07 杭州雄迈集成电路技术有限公司 One kind being based on RGB-IR sensor diurnal pattern automatic switching methods and device
CN108391067A (en) * 2018-05-10 2018-08-10 杭州雄迈集成电路技术有限公司 A kind of denoising intensifier and method based on RGB-IR sensors
CN108600725A (en) * 2018-05-10 2018-09-28 杭州雄迈集成电路技术有限公司 A kind of white balance correction device and method based on RGB-IR image datas
CN108965654A (en) * 2018-02-11 2018-12-07 浙江宇视科技有限公司 Double spectrum camera systems and image processing method based on single-sensor
CN109215612A (en) * 2017-06-30 2019-01-15 北京小米移动软件有限公司 Adjusting method and device that screen is shown, electronic equipment, storage medium
CN109471276A (en) * 2018-11-07 2019-03-15 凌云光技术集团有限责任公司 A kind of liquid crystal display colour cast defect inspection method and device
CN109788217A (en) * 2017-11-13 2019-05-21 瑞昱半导体股份有限公司 Bad pixel compensation method and device
TWI670977B (en) * 2017-11-06 2019-09-01 瑞昱半導體股份有限公司 Defective pixel compensation method and device
CN110493531A (en) * 2018-12-12 2019-11-22 杭州海康威视数字技术股份有限公司 A kind of image processing method and system
CN110809881A (en) * 2018-08-31 2020-02-18 深圳市大疆创新科技有限公司 Image processing system and method
CN111182242A (en) * 2019-12-20 2020-05-19 翱捷智能科技(上海)有限公司 RGB-IR image correction method and device
CN112243117A (en) * 2019-07-17 2021-01-19 杭州海康威视数字技术股份有限公司 Image processing apparatus, method and camera
CN112399163A (en) * 2019-08-19 2021-02-23 瑞昱半导体股份有限公司 Image sensing device and automatic white balance method
CN112866656A (en) * 2019-11-26 2021-05-28 Oppo广东移动通信有限公司 White balance correction method and device, storage medium and terminal equipment
CN113473101A (en) * 2020-03-30 2021-10-01 浙江宇视科技有限公司 Color correction method and device, electronic equipment and storage medium
CN114041737A (en) * 2021-11-16 2022-02-15 四川大学华西医院 Imaging device applied to endoscope

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1753506A (en) * 2005-10-07 2006-03-29 南京大学 Method of implementing CMOS image real time reinforcing pretreatment
CN1819663A (en) * 2005-02-07 2006-08-16 三洋电机株式会社 Color signal processing method
CN102665083A (en) * 2005-07-21 2012-09-12 索尼株式会社 Physical information acquisition method, physical information acquisition device, and semiconductor device
CN103686111A (en) * 2013-12-31 2014-03-26 上海富瀚微电子有限公司 Method and device for correcting color based on RGBIR (red, green and blue, infra red) 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
CN105704463A (en) * 2014-12-09 2016-06-22 意法半导体(R&D)有限公司 Image sensor using pixels with combined RGB and IR sensing

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1819663A (en) * 2005-02-07 2006-08-16 三洋电机株式会社 Color signal processing method
CN102665083A (en) * 2005-07-21 2012-09-12 索尼株式会社 Physical information acquisition method, physical information acquisition device, and semiconductor device
CN1753506A (en) * 2005-10-07 2006-03-29 南京大学 Method of implementing CMOS image real time reinforcing pretreatment
CN103686111A (en) * 2013-12-31 2014-03-26 上海富瀚微电子有限公司 Method and device for correcting color based on RGBIR (red, green and blue, infra red) image sensor
CN105704463A (en) * 2014-12-09 2016-06-22 意法半导体(R&D)有限公司 Image sensor using pixels with combined RGB and IR sensing
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

Cited By (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109215612A (en) * 2017-06-30 2019-01-15 北京小米移动软件有限公司 Adjusting method and device that screen is shown, electronic equipment, storage medium
US10812744B2 (en) 2017-11-06 2020-10-20 Realtek Semiconductor Corporation Defective pixel compensation method and device
TWI670977B (en) * 2017-11-06 2019-09-01 瑞昱半導體股份有限公司 Defective pixel compensation method and device
CN109788217A (en) * 2017-11-13 2019-05-21 瑞昱半导体股份有限公司 Bad pixel compensation method and device
CN109788217B (en) * 2017-11-13 2021-05-25 瑞昱半导体股份有限公司 Method and apparatus for compensating defective pixels
CN108184076B (en) * 2018-02-01 2020-07-31 天津天地伟业信息系统集成有限公司 Brightness calculation method based on color statistics
CN108184076A (en) * 2018-02-01 2018-06-19 天津天地伟业信息系统集成有限公司 A kind of brightness calculation algorithm based on Color Statistical
CN108965654A (en) * 2018-02-11 2018-12-07 浙江宇视科技有限公司 Double spectrum camera systems and image processing method based on single-sensor
CN108965654B (en) * 2018-02-11 2020-12-25 浙江宇视科技有限公司 Double-spectrum camera system based on single sensor and image processing method
CN108600725A (en) * 2018-05-10 2018-09-28 杭州雄迈集成电路技术有限公司 A kind of white balance correction device and method based on RGB-IR image datas
CN108600725B (en) * 2018-05-10 2024-03-19 浙江芯劢微电子股份有限公司 White balance correction device and method based on RGB-IR image data
CN108391067B (en) * 2018-05-10 2023-09-29 浙江芯劢微电子股份有限公司 Denoising enhancement device and method based on RGB-IR sensor
CN108391067A (en) * 2018-05-10 2018-08-10 杭州雄迈集成电路技术有限公司 A kind of denoising intensifier and method based on RGB-IR sensors
CN108377340A (en) * 2018-05-10 2018-08-07 杭州雄迈集成电路技术有限公司 One kind being based on RGB-IR sensor diurnal pattern automatic switching methods and device
CN110809881A (en) * 2018-08-31 2020-02-18 深圳市大疆创新科技有限公司 Image processing system and method
WO2020042149A1 (en) * 2018-08-31 2020-03-05 深圳市大疆创新科技有限公司 Image processing system and method
CN110809881B (en) * 2018-08-31 2021-08-24 深圳市大疆创新科技有限公司 Image processing system and method
CN109471276A (en) * 2018-11-07 2019-03-15 凌云光技术集团有限责任公司 A kind of liquid crystal display colour cast defect inspection method and device
CN109471276B (en) * 2018-11-07 2021-10-08 凌云光技术股份有限公司 Method and device for detecting color cast defect of liquid crystal display
CN110493531A (en) * 2018-12-12 2019-11-22 杭州海康威视数字技术股份有限公司 A kind of image processing method and system
CN112243117A (en) * 2019-07-17 2021-01-19 杭州海康威视数字技术股份有限公司 Image processing apparatus, method and camera
CN112399163A (en) * 2019-08-19 2021-02-23 瑞昱半导体股份有限公司 Image sensing device and automatic white balance method
CN112399163B (en) * 2019-08-19 2022-12-09 瑞昱半导体股份有限公司 Image sensing device and automatic white balance method
CN112866656A (en) * 2019-11-26 2021-05-28 Oppo广东移动通信有限公司 White balance correction method and device, storage medium and terminal equipment
CN111182242A (en) * 2019-12-20 2020-05-19 翱捷智能科技(上海)有限公司 RGB-IR image correction method and device
CN113473101A (en) * 2020-03-30 2021-10-01 浙江宇视科技有限公司 Color correction method and device, electronic equipment and storage medium
CN114041737A (en) * 2021-11-16 2022-02-15 四川大学华西医院 Imaging device applied to endoscope

Similar Documents

Publication Publication Date Title
CN106488209A (en) A kind of color calibration method of the RGB IR imageing sensor based on infrared environmental
CN105391953B (en) Image pickup method and filming apparatus
CN103220534B (en) Image capturing device and method
US8666153B2 (en) Image input apparatus
CN100421126C (en) Method and system in a digital image processing chain for adjusting a colour balance, corresponding equipment, and software means for implementing the method
CN105828058B (en) A kind of method of adjustment and device of white balance
CN107038680A (en) The U.S. face method and system that adaptive optical shines
CN102572206B (en) Color correction method
CN105847772A (en) Imaging system with clear filter pixels
CN109151426A (en) A kind of white balance adjustment method, device, camera and medium
CN102340673A (en) White balance method for video camera aiming at traffic scene
CN106878690A (en) The imaging method of imageing sensor, imaging device and electronic equipment
CN112752023B (en) Image adjusting method and device, electronic equipment and storage medium
CN105120247A (en) White-balance adjusting method and electronic device
DE102010003039A1 (en) Saturation Setting
DE102016121426B4 (en) Method and device for interpolating pixel colors from color and panchromatic channels to color channels
CN107820069A (en) A kind of video monitoring equipment ISP adjustment methods
CN102858072A (en) Lighting control method and system
CN108293090A (en) Image processing equipment and image processing method
US20120268618A1 (en) Adaptive color imaging by using an imaging assembly with tunable spectral sensitivities
CN105809634A (en) Photograph generating method and mobile terminal
US11889032B2 (en) Apparatus for acquiring image and method for acquiring image
CN107864369B (en) The compound display acquisition method of LED display
CN106550227B (en) A kind of image saturation method of adjustment and device
CN107580205B (en) White balance adjustment method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20170308

RJ01 Rejection of invention patent application after publication