CN108307139A - A kind of method of image adjustment, video conference terminal and video conferencing system - Google Patents
A kind of method of image adjustment, video conference terminal and video conferencing system Download PDFInfo
- Publication number
- CN108307139A CN108307139A CN201710020878.5A CN201710020878A CN108307139A CN 108307139 A CN108307139 A CN 108307139A CN 201710020878 A CN201710020878 A CN 201710020878A CN 108307139 A CN108307139 A CN 108307139A
- Authority
- CN
- China
- Prior art keywords
- colour temperature
- mapping relations
- parameter
- algorithms
- target
- 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
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/15—Conference systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3179—Video signal processing therefor
- H04N9/3182—Colour adjustment, e.g. white balance, shading or gamut
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/73—Colour balance circuits, e.g. white balance circuits or colour temperature control
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Processing Of Color Television Signals (AREA)
- Studio Devices (AREA)
Abstract
The embodiment of the invention discloses a kind of method of image adjustment, for enhancing the display effect after image projection, and cost is reduced.Present invention method includes：Obtain the convergence result of the convergence result and automatic white balance AWB algorithms of the automatic exposure AE algorithms of video camera；Target environment illumination is determined according to the convergence result of AE algorithms and AE Algorithm mapping relationships, and target environment colour temperature is determined according to the convergence result of AWB algorithms and AWB Algorithm mapping relationships；The first parameter that target image is determined according to target environment illumination and ambient light illumination mapping relations determines the second parameter of target image according to target environment colour temperature and environment colour temperature mapping relations；According to the first parameter and the second parameter adjustment target image.The embodiment of the present invention additionally provides a kind of video conference terminal and video conferencing system.The embodiment of the present invention can enhance the display effect after image projection, and reduce cost.
Description
Technical field
This application involves video conferencing system field more particularly to a kind of method of image adjustment, video conference terminal and
Video conferencing system.
Background technology
In video conference application scene, often projecting apparatus is used to carry out PowerPoint (PowerPoint, PPT) film
Display equipment is explained or treats as, for example, when PPT is explained in local meeting-place using projecting apparatus, PC (Personal
Compute, PC) it is inputted as major video as auxiliary streaming video input, video camera, access video conference terminal, terminal mainstream
It is output on TV and secondary flow is output on projecting apparatus, projector image is emitted on white wall or projection cloth.Personage stands in Bai Qiang
Or PPT films are explained beside projection cloth.When local meeting-place uses projecting apparatus as principal display device, meeting-place directly will projection
Instrument shows equipment as principal display device, without being used as using TV.Video camera is inputted as major video, accesses video
Conference terminal, the output of terminal mainstream are connected on projecting apparatus, and projector image is output on white wall or projection cloth.Projecting apparatus is light
It projects on white wall or curtain and is imaged, the brightness of environment light, colour temperature can have drop shadow effect (contrast, saturation degree, tone)
It directly influences, the light of meeting room can influence the display effect of projecting apparatus, and in order to see projector image clearly, usually selection is meeting
View room light is dimmed or is closed, and is inappropriate in video conference, because this can influence the shooting effect of local meeting-place video camera
Fruit (light is darker, and camera acquisition image effect is poorer), and the mainstream image in local meeting-place can be transmitted to distal end meeting in real time
Field, the visual experience that remote site can be influenced.
In a kind of scheme of the prior art, increase photo resistance in projector apparatus, ring is perceived by photo resistance
The brightness in border simultaneously feeds back to projecting apparatus, and according to the brightness of ambient brightness adjusting projected image, (brightness regulation can pass through projecting apparatus
Projecting apparatus bulb power is adjusted to realize).The program can only induced luminous brightness, be unable to the colour temperature of induced luminous, cause to throw
Shadow instrument cannot calibrate the color of projected image, and drop shadow effect is poor, and because increase photo resistance, cause equipment at
This increase.
In another scheme of the prior art, increases camera in projector apparatus, projected by camera acquisition
Actual imaging of the instrument on white wall or curtain, and correction coefficient is analyzed and generated to the image of acquisition, it is defeated to change projecting apparatus
The projected image gone out.Camera is affected by environment big in the program, and the image and actual imaging of acquisition have certain deviation, generation
Correction coefficient also has deviation, influences the accuracy of correction, and because increasing camera, increase equipment cost.
Invention content
An embodiment of the present invention provides a kind of method of image adjustment, for enhancing the display effect after image projection, and
Reduce cost.
The first aspect of the embodiment of the present invention provides a kind of method of image adjustment, including：Obtain the algorithm of video camera
Convergence is as a result, the convergence result of the algorithm includes the convergence result and automatic white balance AWB algorithms of automatic exposure AE algorithms
Restrain result；According to the mapping of the convergence result of the AE algorithms and the convergence result for indicating ambient light illumination and the AE algorithms
Relationship determines target environment illumination, according to the convergence result of the AWB algorithms and indicates environment colour temperature and the AWB algorithms
The mapping relations of convergence result determine target environment colour temperature；According to the target environment illumination and indicate first parameter with
The mapping relations of ambient light illumination determine the first parameter of target image, according to the target environment colour temperature and indicate described second
The mapping relations of parameter and environment colour temperature determine the second parameter of target image；According to first parameter and second parameter
Adjust the target image.The embodiment of the present invention exports the parameter of image by change, to enhance the display after image projection
Effect, and reduce equipment cost.
In conjunction with the embodiment of the present invention in a first aspect, in the first realization method of first aspect of the embodiment of the present invention,
The convergence result of automatic exposure AE algorithms for obtaining video camera and the convergence result of automatic white balance AWB algorithms include：It obtains
Take the aperture information normalized value, shutter information normalized value, the normalization of luminance gain information of the video camera AE algorithms needs
Value obtains red gain information normalized value and blue gain information normalized value that the video camera AWB algorithms need.The present invention is real
It applies example and has refined the convergence of algorithm as a result, the perfect operating procedure of the embodiment of the present invention.
In conjunction with the first realization method of the first aspect of the embodiment of the present invention, the of first aspect of the embodiment of the present invention
It is described that target environment illumination packet is determined according to the convergence result and AE Algorithm mapping relationships of the AE algorithms in two kinds of realization methods
It includes：The AE overall gains are determined according to following formula；AE overall gains=aperture information normalized value * shutter information normalized values *
Luminance gain information normalized value；Target environment illumination is determined according to the AE overall gains and the AE Algorithm mappings relationship.This
Inventive embodiments provide the specific algorithm formula of AE overall gains, increase the operability of the embodiment of the present invention.
In conjunction with the first realization method of the first aspect of the embodiment of the present invention, the of first aspect of the embodiment of the present invention
It is described that target environment colour temperature is determined according to the convergence result and AWB Algorithm mapping relationships of the AWB algorithms in three kinds of realization methods
Including：The target environment color is determined according to the AWB Algorithm mappings relationship, the red gain information and the blue gain information
Temperature.The embodiment of the present invention illustrates the realization method of determining target environment colour temperature, increases the operability of the embodiment of the present invention.
In conjunction with the embodiment of the present invention in a first aspect, in the 4th kind of realization method of first aspect of the embodiment of the present invention,
It is described to determine that the first parameter of target image includes with ambient light illumination mapping relations according to the target environment illumination：According to described
Target environment illumination determines that the contrast level parameter and saturation parameters of target image, the environment are shone with ambient light illumination mapping relations
It includes contrast and illumination mapping relations, saturation degree and illumination mapping relations to spend mapping relations.The embodiment of the present invention passes through target
Ambient light illumination and ambient light illumination mapping relations determine the first parameter, increase the realizability of the embodiment of the present invention.
In conjunction with the embodiment of the present invention in a first aspect, in the 5th kind of realization method of first aspect of the embodiment of the present invention,
It is described to determine that the second parameter of target image includes with environment colour temperature mapping relations according to the target environment colour temperature：According to tone
The colorimetric parameter of target image is determined with colour temperature mapping relations and the target environment colour temperature；Or, being reflected according to white balance and colour temperature
It penetrates relationship and the target environment colour temperature determines the white balance parameter of target image.The embodiment of the present invention is reflected by tone and colour temperature
It penetrates relationship and target environment colour temperature determines the second parameter, provide a kind of realization method for determining the second parameter, increase this hair
The realizability of bright embodiment.
In conjunction with the 5th kind of realization method of the first aspect of the embodiment of the present invention, the of first aspect of the embodiment of the present invention
It is described to include according to target image described in first parameter and second parameter adjustment in six kinds of realization methods：According to institute
State the first compensating parameter that colorimetric parameter, the contrast level parameter and the saturation parameters determine the target image；According to
First compensating parameter adjusts the target image.The embodiment of the present invention is according to determining contrast level parameter, saturation parameters
The first compensating parameter that adjustment image needs is determined with colorimetric parameter, the step of perfect adjustment of embodiment of the present invention image, is increased
The operability of the embodiment of the present invention is added.
In conjunction with the 5th kind of realization method of the first aspect of the embodiment of the present invention, the of first aspect of the embodiment of the present invention
It is described to include according to target image described in first parameter and second parameter adjustment in seven kinds of realization methods：According to institute
State the second compensating parameter that white balance parameter, the contrast level parameter and the saturation parameters determine the target image；Root
The target image is adjusted according to second compensating parameter.The embodiment of the present invention is joined according to determining contrast level parameter, saturation degree
Number and white balance parameter determine the second compensating parameter that adjustment image needs, the step of perfect adjustment of embodiment of the present invention image
Suddenly, the operability of the embodiment of the present invention is increased.
The second aspect of the embodiment of the present invention provides a kind of video conference terminal, including：Acquiring unit, for obtaining camera shooting
The convergence result of the convergence result and automatic white balance AWB algorithms of the automatic exposure AE algorithms of machine；First determination unit is used for root
Target environment illumination is determined according to the convergence result and AE Algorithm mapping relationships of the AE algorithms, according to the convergence of the AWB algorithms
As a result determine that target environment colour temperature, the AE Algorithm mappings relationship are used to indicate ambient light illumination and institute with AWB Algorithm mapping relationships
The mapping relations of the convergence result of AE algorithms are stated, the AWB Algorithm mappings relationship is used to indicate environment colour temperature and the AWB algorithms
Convergence result mapping relations；Second determination unit, for according to the target environment illumination and ambient light illumination mapping relations
The first parameter for determining target image determines the of target image according to the target environment colour temperature and environment colour temperature mapping relations
Two parameters, the ambient light illumination mapping relations are used to indicate the mapping relations of first parameter and ambient light illumination, the environment
Colour temperature mapping relations are used to indicate the mapping relations of second parameter and environment colour temperature；Adjustment unit, for according to described the
Target image described in one parameter and second parameter adjustment.The embodiment of the present invention exports the parameter of image by change, to
Enhance the display effect after image projection, and reduces equipment cost.
In conjunction with the second aspect of the embodiment of the present invention, in the first realization method of second aspect of the embodiment of the present invention,
The acquiring unit includes：Obtain subelement, aperture information normalized value, shutter information normalizing for obtaining the video camera
Change value, luminance gain information normalized value, red gain information normalized value and blue gain information normalized value.The embodiment of the present invention
The convergence of algorithm has been refined as a result, the perfect operating procedure of the embodiment of the present invention.
In conjunction with the first realization method of the second aspect of the embodiment of the present invention, the of second aspect of the embodiment of the present invention
In two kinds of realization methods, first determination unit includes：First determination subelement, for determining the AE according to following formula
Overall gain；AE overall gains=aperture information normalized value * shutter information normalized value * luminance gain information normalized values；Second
Determination subelement, for determining target environment illumination according to the AE overall gains and the AE Algorithm mappings relationship.The present invention is real
The specific algorithm formula that example provides AE overall gains is applied, the operability of the embodiment of the present invention is increased.
In conjunction with the first realization method of the second aspect of the embodiment of the present invention, the of second aspect of the embodiment of the present invention
In three kinds of realization methods, first determination unit includes：Third determination subelement, for according to the red gain information, institute
It states blue gain information and the AWB Algorithm mappings relationship determines the target environment colour temperature.The embodiment of the present invention illustrates to determine
The realization method of target environment colour temperature increases the operability of the embodiment of the present invention.
In conjunction with the second aspect of the embodiment of the present invention, in the 4th kind of realization method of second aspect of the embodiment of the present invention,
Second determination unit includes：4th determination subelement, for being closed according to the target environment illumination and ambient light illumination mapping
System determine target image contrast level parameter and saturation parameters, the ambient light illumination mapping relations be contrast/saturation degree with
Illumination mapping relations.The embodiment of the present invention determines the first parameter by target environment illumination and ambient light illumination mapping relations, increases
The realizability of the embodiment of the present invention.
In conjunction with the second aspect of the embodiment of the present invention, in the 5th kind of realization method of second aspect of the embodiment of the present invention,
Second determination unit includes：5th determination subelement, for being closed according to the target environment colour temperature and the mapping of environment colour temperature
System determines that the colorimetric parameter of target image, the environment colour temperature mapping relations are tone and colour temperature mapping relations；Or, being used for basis
The target environment colour temperature determines that the white balance parameter of target image, the environment colour temperature mapping are closed with environment colour temperature mapping relations
System is white balance and colour temperature mapping relations.The embodiment of the present invention is determined by tone and colour temperature mapping relations and target environment colour temperature
Second parameter provides a kind of realization method for determining the second parameter, increases the realizability of the embodiment of the present invention.
In conjunction with the 5th kind of realization method of the second aspect of the embodiment of the present invention, the of second aspect of the embodiment of the present invention
In six kinds of realization methods, the adjustment unit includes：6th determination subelement, for according to the contrast level parameter, described full
The first compensating parameter of the target image is determined with degree parameter and the colorimetric parameter；The first adjustment subelement is used for basis
First compensating parameter adjusts the target image.The embodiment of the present invention is according to determining contrast level parameter, saturation parameters
The first compensating parameter that adjustment image needs is determined with colorimetric parameter, the step of perfect adjustment of embodiment of the present invention image, is increased
The operability of the embodiment of the present invention is added.
In conjunction with the 5th kind of realization method of the second aspect of the embodiment of the present invention, the of second aspect of the embodiment of the present invention
In seven kinds of realization methods, the adjustment unit includes：7th determination subelement, for according to the contrast level parameter, described full
The second compensating parameter of the target image is determined with degree parameter and the white balance parameter；Second adjustment subelement is used for root
The target image is adjusted according to second compensating parameter.The embodiment of the present invention is joined according to determining contrast level parameter, saturation degree
Number and white balance parameter determine the second compensating parameter that adjustment image needs, the step of perfect adjustment of embodiment of the present invention image
Suddenly, the operability of the embodiment of the present invention is increased.
The third aspect of the embodiment of the present invention provides a kind of video conferencing system, which is characterized in that including：
Video conference terminal, image display device and video camera；The video conference terminal is second aspect to second party
Video conference terminal described in any one of the 7th kind of realization method in face.The embodiment of the present invention is changed by video conference terminal
Output image parameter do not increase other hardware devices to enhance the display effect after image projection, reduce equipment at
This.
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages：
In technical solution provided in an embodiment of the present invention, obtain the automatic exposure AE algorithms of video camera convergence result and from
The convergence result of dynamic white balance AWB algorithms；Target ring is determined according to the convergence result of the AE algorithms and AE Algorithm mapping relationships
Border illumination determines target environment colour temperature, the AE algorithms according to the convergence result of the AWB algorithms and AWB Algorithm mapping relationships
Mapping relations are used to indicate the mapping relations of ambient light illumination and the convergence result of the AE algorithms, the AWB Algorithm mappings relationship
It is used to indicate the mapping relations of environment colour temperature and the convergence result of the AWB algorithms；According to the target environment illumination and environment
Illumination mapping relations determine the first parameter of target image, are determined according to the target environment colour temperature and environment colour temperature mapping relations
Second parameter of target image, the ambient light illumination mapping relations are used to indicate first parameter and the mapping of ambient light illumination is closed
System, the environment colour temperature mapping relations are used to indicate the mapping relations of second parameter and environment colour temperature；According to described first
Target image described in parameter and second parameter adjustment.The embodiment of the present invention can export the parameter of image by change, from
And enhance the display effect after image projection, and reduce equipment cost.
Description of the drawings
Fig. 1 is the network architecture schematic diagram of the embodiment of the present invention；
Fig. 2 is AE Algorithm mapping relation schematic diagrams in the embodiment of the present invention；
Fig. 3 is AWB Algorithm mapping relation schematic diagrams in the embodiment of the present invention；
Fig. 4 is contrast/saturation degree and illumination mapping relations schematic diagram in the embodiment of the present invention；
Fig. 5 is tone and colour temperature mapping relations schematic diagram in the embodiment of the present invention；
Fig. 6 is white balance and colour temperature mapping relations schematic diagram in the embodiment of the present invention；
Fig. 7 is one embodiment schematic diagram of the method for image adjustment in the embodiment of the present invention；
Fig. 8 is one embodiment schematic diagram of video conference terminal in the embodiment of the present invention；
Fig. 9 is another embodiment schematic diagram of video conference terminal in the embodiment of the present invention；
Figure 10 is an application scenarios schematic diagram of video conferencing system in the embodiment of the present invention.
Specific implementation mode
An embodiment of the present invention provides a kind of method of image adjustment, for enhancing the display effect after image projection, and
Reduce cost.
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present invention
The embodiment of the present invention is described in attached drawing.
Term " first ", " second ", " third " in the description and claims of this application and above-mentioned attached drawing, "
The (if present)s such as four " are for distinguishing similar object, without being used to describe specific sequence or precedence.It should manage
The data that solution uses in this way can be interchanged in the appropriate case, so that the embodiments described herein can be in addition to illustrating herein
Or the sequence other than the content of description is implemented.In addition, term " comprising " or " having " and its any deformation, it is intended that covering is not
Exclusive includes, for example, contain the process of series of steps or unit, method, system, product or equipment be not necessarily limited to it is clear
Step or unit those of are listed in ground, but may include not listing clearly or for these processes, method, product or set
Standby intrinsic other steps or unit.
The embodiment of the present invention can be applied to the network architecture as shown in Figure 1, in the network architecture, far-end video meeting system
For system 110 with local video conference system 120 by network connection, far-end video conference system 110 includes video camera 111, video
Conference terminal 112 and image display device 113.Wherein video camera 111 and video camera 121 are used for acquiring respective video conference scene
Video image, the video image that video conference terminal 112 and video conference terminal 122 acquires by network transmission, image shows
Showing device 113 and image display device 123 show the video image at other video conferences scene received respectively.
Net meeting system is a kind of the people for being in strange land to be allowed to pass through real-time performance " in real time, visual, interaction "
Multi-media communication technology.It can be by existing various electrical communications transmission medias, by the static state and dynamic image, language of personage
The much informations such as sound, word, picture are distributed on the terminal device of each user so that the user geographically disperseed can be total to
At poly- one, by the various ways exchange of information such as figure, sound, increases both sides to the understandability of content, make people like body
It is the same to face the meeting that its border is participated in same meeting-place.
Traditional video conference device includes multipoint control unit (Multipiont Control Unit, MCU), that is, is regarded
Several parts such as frequency Conference server, video conference terminal, the network switching equipment.A variety of different terminals are all connected into MCU progress
It concentrates and exchanges, form a video conference network.But with the application of cloud computing technology, in cloud computing video conference terminal,
User does not need MCU, it is only necessary to install the communication that video conference can be realized in video conference terminal, video camera and projecting apparatus.
In view of this, an embodiment of the present invention provides a kind of method of image adjustment, video conference terminal and video conferences
The method of system, image adjustment includes：The convergence result and automatic white balance AWB for obtaining the automatic exposure AE algorithms of video camera are calculated
The convergence result of method；Target environment illumination is determined according to the convergence result of AE algorithms and AE Algorithm mapping relationships, according to AWB algorithms
Convergence result and AWB Algorithm mapping relationships determine target environment colour temperature, AE Algorithm mapping relationships be used to indicate ambient light illumination with
The mapping relations of the convergence result of AE algorithms, AWB Algorithm mapping relationships are used to indicate the convergence result of environment colour temperature and AWB algorithms
Mapping relations；The first parameter that target image is determined according to target environment illumination and ambient light illumination mapping relations, according to target
Environment colour temperature determines that the second parameter of target image, ambient light illumination mapping relations are used to indicate first with environment colour temperature mapping relations
The mapping relations of parameter and ambient light illumination, the mapping that environment colour temperature mapping relations are used to indicate the second parameter and environment colour temperature are closed
System；According to the first parameter and the second parameter adjustment target image.
The embodiment of the present invention can be applied in network frame shown in FIG. 1, and local video conference terminal 122 is from far-end video
The image that Remote Camera 111 acquires is sent to this by conference terminal 112 by network connection, far-end video conference terminal 112
The image received is included in local image display device 123 by ground video conference terminal 122, local video conference terminal 122
On.The local image display device 123 of the embodiment of the present invention is projecting apparatus.It is understood that image display device can be
Projecting apparatus or equipment with projecting function.
Before establishing video conference, the video camera and projecting apparatus in local meeting-place are demarcated.The calibration of video camera
It is divided into the calibration of AE algorithms and AWB algorithms demarcates two kinds.For the calibration of the AE algorithms of video camera, varying environment illumination is constructed,
According to the sequence by low-light (level) to high illumination, choose the illumination of several gears, for example, set environment illumination be respectively 10lux,
30lux, 100lux, 200lux, 300lux, 500lux, 800lux, after AE algorithmic statements, record convergence is as a result, convergence result
Including aperture information, luminance gain information, shutter information, and AE overall gains will be converted into after convergence result normalization.Below with
The normalized parameter of video camera in local video conference system illustrates.
The value range of aperture information normalized value is：1~79,1 indicates minimum aperture F32, and 79 indicate maximum ring
F1.8.The value range of shutter information normalized value is：1~10000,1 indicates minimum aperture time 1/10000 second, 10000 tables
Show maximum shutter 1 second.The value range of luminance gain information normalized value is：1~64,1 indicate minimum gain value be 1db, 64
Expression maxgain value is 64db.AE overall gains=aperture information normalized value * shutter information normalized value * luminance gain information
Normalized value.That is, the value range of AE overall gains is：1~50560000.According to the difference of ambient light illumination, obtained AE always increases
Benefit is also different, when being respectively 200lux and 500lux below with ambient light illumination, is said for calculated AE overall gains result
It is bright.
(A) when ambient light illumination is 200lux, the convergences of AE algorithms the result is that：Aperture information is F1.8, and shutter information is
1/50 second, luminance gain information was 6db, then AE overall gains=79* ((1/50)/(1/10000)) * 6=79*200*6=
94800。
(B) when ambient light illumination is 500lux, the convergences of AE algorithms the result is that：Aperture information is F1.8, and shutter information is
1/50 second, luminance gain information was 3db, then AE overall gains=79* ((1/50)/(1/10000)) * 3=79*200*3=
47400。
According to ambient light illumination and calculated corresponding A E overall gains, the correspondence of AE overall gains and ambient light illumination is established,
As shown in Figure 2.
For the calibration of the AWB algorithms of video camera, varying environment colour temperature is constructed, according to by low color temperature to the suitable of high color temperature
Sequence chooses the colour temperature of several gears, for example, set environment colour temperature be respectively 2000K, 3000K, 4500K, 6500K, 7000K,
10000k, after AWB algorithmic statements, record convergence, and will as a result, the convergence result includes red gain information and blue gain information
The correspondence of red gain, blue gain and colour temperature is established after convergence result normalization.It is with above-mentioned same a video camera below
Example illustrates.
The red normalized value range of gain information is：1~255, the blue normalized value range of gain information is：1~
255.The value of red gain is bigger, and the value of blue gain is smaller.When being respectively 3000K and 6500K below with environment colour temperature, what is obtained is red
It is illustrated for gain and blue yield value.
(A) when environment colour temperature is 3000K, the convergences of AWB algorithms the result is that：The value of red gain normalization is 122, Lan Zeng
The normalized value of benefit is 200.
(B) when environment colour temperature is 6500K, the convergences of AWB algorithms the result is that：The value of red gain normalization is 150, Lan Zeng
The normalized value of benefit is 170.
According to environment colour temperature and corresponding red gain and blue gain, the red gain, blue gain and ambient color of AWB algorithms are established
The correspondence of temperature, as shown in Figure 3.Assuming that the convergence result of current AWB algorithms is：Red gain is 130, blue gain is 180, root
Colour temperature is can determine between 3000K~6500K according to AWB Algorithm mapping relationships, and specific color temperature value can be calculated by interpolation method.Interpolation
The specific steps of method may be used：Current point (130,180) is asked to pass through intersection point point to the intersection point point of point A and point the B straight line formed
It is calculated with the distance relation of point A, point B.
Above describe the calibration process to local video camera, are carried out specifically to the calibration process of local projecting apparatus below
It is bright.
The calibration of projecting apparatus is divided into three kinds, one is the calibration of ambient light illumination and picture contrast parameter, saturation parameters,
One is the calibration of environment colour temperature and picture tone parameter, another kind is the calibration of environment colour temperature and white balance parameter.For throwing
For the contrast level parameter of shadow instrument, the calibration of saturation parameters, ambient light illumination is demarcated with picture contrast, saturation parameters：Structure
Different ambient light illuminations is made, according to the sequence by low-light (level) to high illumination, chooses the illumination of several gears, such as set environment shines
Degree is respectively that 0lux, 100lux, 200lux, 300lux, 500lux, 700lux, 1000lux are obtained according to the difference of ambient light illumination
The contrast level parameter that arrives, saturation parameters are also different, and the value range of saturation degree is：0~99, the value range of contrast is：0
~99.When being respectively 200lux and 300lux below with ambient light illumination, carried out for obtained contrast level parameter, saturation parameters
Explanation.
(A) when ambient light illumination is 200lux, contrast level parameter 67, saturation parameters 61.
(B) when ambient light illumination is 300lux, contrast level parameter 75, saturation parameters 67.Other illumination and comparison
Degree, saturation degree correspondence are as shown in the table.
| Ambient light illumination | Contrast | Saturation degree |
| 0 | 50 | 50 |
| 100 | 60 | 55 |
| 200 | 67 | 61 |
| 300 | 75 | 67 |
| 500 | 80 | 72 |
| 700 | 85 | 76 |
| 1000 | 90 | 85 |
According to the correspondence of upper table, the correspondence of contrast, saturation degree and ambient light illumination is established, as shown in Figure 4.
For the calibration of the colorimetric parameter of projecting apparatus, environment colour temperature and picture tone parameter calibration：It constructs different
Environment colour temperature chooses the colour temperature of several gears according to the sequence by low color temperature to high color temperature, such as set environment colour temperature is respectively
1000k, 3000k, 4000k, 5000k, 6500k, 8000k, 10000k, according to the difference of environment colour temperature, obtained colorimetric parameter
Also different, the value range of colorimetric parameter is：0~99.When being respectively 3000k and 6500k below with environment colour temperature, obtained color
It is illustrated for tune parameter.
(A) when environment colour temperature is 3000k, colorimetric parameter 75.
(B) when environment colour temperature is 6500k, colorimetric parameter 50.Other colour temperatures and tone correspondence are as shown in the table.
| Environment colour temperature | Tone |
| 1000 | 92 |
| 3000 | 75 |
| 4000 | 65 |
| 5000 | 55 |
| 6500 | 50 |
| 8000 | 35 |
| 10000 | 12 |
According to the correspondence of upper table, the correspondence of tone and environment colour temperature is established, as shown in Figure 5.
For the calibration of the white balance parameter of projecting apparatus, environment colour temperature is demarcated with image white balance parameter：Construction is not
Same environment colour temperature chooses the colour temperature of several gears, such as set environment colour temperature point according to the sequence by low color temperature to high color temperature
Not Wei 1000k, 3000k, 4000k, 5000k, 6500k, 8000k, 10000k, according to the difference of environment colour temperature, what is obtained is white flat
The parameter that weighs is also different, and white balance parameter includes red gain Rgain, green gain G gain and blue gain Bgain.Rgain、Ggain、
The value range of Bgain is 0~2.Usual green gain G gain parameters remain unchanged, and only adjust Rgain, Bgain.Below with ring
When border colour temperature is respectively 3000k and 6500k, illustrated for obtained Rgain, Bgain parameter.
(A) when environment colour temperature is 3000k, Rgain parameters are that 0.5, Bgain parameters are 1.5.
(B) when environment colour temperature is 6500k, Rgain parameters are that 1, Bgain parameters are 1.Other colour temperatures and white balance parameter
Correspondence is as shown in the table.
| Environment colour temperature | Rgain | Ggain | Bgain |
| 1000 | 0.3 | 1.0 | 1.7 |
| 3000 | 0.5 | 1.0 | 1.5 |
| 4000 | 0.7 | 1.0 | 1.3 |
| 5000 | 0.8 | 1.0 | 1.2 |
| 6500 | 1.0 | 1.0 | 1.0 |
| 8000 | 1.3 | 1.0 | 0.7 |
| 10000 | 1.4 | 1.0 | 0.6 |
According to the correspondence of upper table, the correspondence of white balance parameter and environment colour temperature is established, as shown in Figure 6.
Referring to Fig. 7, when local video conference system needs to adjust output image quality, with local video conference system
For illustrate, method one embodiment of image adjustment includes in the embodiment of the present invention：
701, the convergence knot of the convergence result and automatic white balance AWB algorithms of the automatic exposure AE algorithms of video camera is obtained
Fruit.
Local video conference system establishes network connection with far-end video conference system, starts video conference, and local
After video conference terminal enables Image Adjusting function, the video conference terminal of local video conference system is to local video meeting system
Video camera in system sends solicited message, which is used to obtain the receipts of the AE algorithms of local video conference system video camera
The convergence of result and AWB algorithms is held back as a result, the local camera response solicited message, and by the convergence knot of the AE algorithms of video camera
The convergence result of fruit and AWB algorithms is sent to local video conference terminal.The convergence result of AE algorithms includes aperture information normalizing
The convergence result of change value, shutter information normalized value, luminance gain information normalized value, AWB algorithms includes that red gain information is returned
One change value and blue gain information normalized value.
It should be noted that the local video camera in local video conference system acquires image from local video conference system
Information, then local video camera obtain the AE algorithmic statements result and AWB of local video camera according to proven mapping relations
Algorithmic statement result.
702, target environment illumination is determined according to the convergence result of AE algorithms and AE Algorithm mapping relationships, according to AWB algorithms
Convergence result and AWB Algorithm mapping relationships determine target environment colour temperature.
Local video conference terminal is according to getting aperture information normalized value, shutter information normalized value, luminance gain
Information normalized value determines AE overall gains according to preset formula, and according to the preset AE Algorithm mapping relationships of the AE overall gains
Determine that target environment illumination, AE Algorithm mapping relationships are used to indicate the mapping relations of ambient light illumination and the convergence result of AE algorithms；
Red gain information that local video conference terminal is got, blue gain information AWB Algorithm mapping relationships determine target environment colour temperature,
AWB Algorithm mapping relationships are used to indicate the mapping relations of environment colour temperature and the convergence result of AWB algorithms.
It should be noted that for local video conference system, the AE Algorithm mappings relationship and AWB of local video camera
Algorithm mapping relationship is stored in advance on local video conference terminal.Preset formula is：AE overall gains=aperture information normalizing
Change value * shutter information normalized value * luminance gain information normalized values, for example, when the value range of aperture information normalized value
It is 1~79, the value range of shutter information normalized value is 1~10000, the value range of gain information normalized value is 1~
When 64, the value range of AE overall gains is 1~50560000.The corresponding aperture information of different video cameras, shutter information and bright
The value range for spending gain information is different, causes the value range of AE overall gains different, does not limit herein specifically.
703, the first parameter that target image is determined according to target environment illumination and ambient light illumination mapping relations, according to target
Environment colour temperature determines the second parameter of target image with environment colour temperature mapping relations.
Local video conference terminal determines the comparison of target image according to target environment illumination and ambient light illumination mapping relations
Parameter and saturation parameters are spent, ambient light illumination mapping relations are contrast/saturation degree and illumination mapping relations；According to target environment
Colour temperature determines that the colorimetric parameter of target image, environment colour temperature mapping relations are that tone is mapped with colour temperature with environment colour temperature mapping relations
Relationship, alternatively, determining the white balance parameter of target image, environment colour temperature according to target environment colour temperature and environment colour temperature mapping relations
Mapping relations are white balance and colour temperature mapping relations.
It should be noted that the first parameter includes contrast level parameter and saturation parameters simultaneously, the second parameter includes at least
A kind of parameter in colorimetric parameter and white balance parameter.
704, according to the first parameter and the second parameter adjustment target image.
Local video conference terminal determines that the first compensation is joined by contrast level parameter, saturation parameters and colorimetric parameter
Number, and first compensating parameter is configured on the delivery outlet of local video conference terminal, target image is after the delivery outlet
It is adjusted.
It should be noted that local video conference terminal can also pass through contrast level parameter, saturation parameters and white balance
Parameter determines the second compensating parameter, and second compensating parameter is configured on the delivery outlet of local video conference terminal, mesh
Logo image is adjusted after the delivery outlet.
When the second parameter is white balance parameter, the second compensating parameter is determined according to following formula；
Wherein, the second compensating parameter includes R ', G ', B ', and image original parameter includes R, G, B, and white balance parameter includes red increasing
The value range of beneficial Rgain, green gain G gain and blue gain Bgain, Rgain, Ggain, Bgain are 0~2.
705, the target image after adjustment is sent to projecting apparatus.
Image after adjustment is sent to projecting apparatus so that target image has preferably display after being presented by projecting apparatus
Effect.
In the embodiment of the present invention, video conference terminal obtains the algorithmic statement of video camera as a result, and according to algorithmic statement knot
Fruit determines target environment illumination and target environment colour temperature, then is corresponded to and closed by preset ambient light illumination correspondence and environment colour temperature
System determines the compensating parameter of video conference terminal delivery outlet, adjusts the target image of output, enhances the display effect after image projection
Fruit, and reduce cost.
The method of image adjustment in the embodiment of the present invention is described above, below to regarding in the embodiment of the present invention
Frequency conference terminal is described, referring to Fig. 8, the video conference terminal packet for adjusting output image in the embodiment of the present invention
It includes：
Acquiring unit 801, the convergence result and automatic white balance AWB of the automatic exposure AE algorithms for obtaining video camera are calculated
The convergence result of method；
First determination unit 802, for determining target environment according to the convergence result and AE Algorithm mapping relationships of AE algorithms
Illumination determines that target environment colour temperature, AE Algorithm mapping relationships are used according to the convergence result of AWB algorithms and AWB Algorithm mapping relationships
In the mapping relations of indicative for environments illumination and the convergence result of AE algorithms, AWB Algorithm mapping relationships be used to indicate environment colour temperature with
The mapping relations of the convergence result of AWB algorithms；
Second determination unit 803, for determining target image according to target environment illumination and ambient light illumination mapping relations
First parameter determines that the second parameter of target image, ambient light illumination are reflected according to target environment colour temperature and environment colour temperature mapping relations
The relationship of penetrating is used to indicate the mapping relations of the first parameter and ambient light illumination, environment colour temperature mapping relations be used to indicate the second parameter with
The mapping relations of environment colour temperature；
Adjustment unit 804, for according to the first parameter and the second parameter adjustment target image.
In the embodiment of the present invention, what video conference terminal can have been demarcated according to the algorithmic statement result of video camera and in advance
Camera parameters correspondence and proj ector parameters correspondence, the target image parameter of modification video conference terminal output are real
Now to the adjustment of the target image of output.
Referring to Fig. 9, in the embodiment of the present invention in another embodiment of video conference terminal, including：
Acquiring unit 801, the convergence result and automatic white balance AWB of the automatic exposure AE algorithms for obtaining video camera are calculated
The convergence result of method；
First determination unit 802, for determining target environment according to the convergence result and AE Algorithm mapping relationships of AE algorithms
Illumination determines that target environment colour temperature, AE Algorithm mapping relationships are used according to the convergence result of AWB algorithms and AWB Algorithm mapping relationships
In the mapping relations of indicative for environments illumination and the convergence result of AE algorithms, AWB Algorithm mapping relationships be used to indicate environment colour temperature with
The mapping relations of the convergence result of AWB algorithms；
Second determination unit 803, for determining target image according to target environment illumination and ambient light illumination mapping relations
First parameter determines that the second parameter of target image, ambient light illumination are reflected according to target environment colour temperature and environment colour temperature mapping relations
The relationship of penetrating is used to indicate the mapping relations of the first parameter and ambient light illumination, environment colour temperature mapping relations be used to indicate the second parameter with
The mapping relations of environment colour temperature；
Adjustment unit 804, for according to the first parameter and the second parameter adjustment target image.
Wherein, acquiring unit 801 includes：
Obtain subelement 8011, aperture information normalized value, shutter information normalized value, brightness for obtaining video camera
Gain information normalized value, red gain information normalized value and blue gain information normalized value.
Wherein, the first determination unit 802 may include：
First determination subelement 8021, for determining AE overall gains according to following formula；
AE overall gains=aperture information normalized value * shutter information normalized value * gain information normalized values；
Second determination subelement 8022, for determining target environment illumination according to AE overall gains and AE Algorithm mapping relationships.
Third determination subelement 8023, for being determined according to red gain information, blue gain information and AWB Algorithm mapping relationships
Target environment colour temperature.
Wherein, the second determination unit 803 may include：
4th determination subelement 8031, for determining target image according to target environment illumination and ambient light illumination mapping relations
Contrast level parameter and saturation parameters, ambient light illumination mapping relations be contrast/saturation degree and illumination mapping relations.
5th determination subelement 8032, for determining target image according to target environment colour temperature and environment colour temperature mapping relations
Colorimetric parameter, environment colour temperature mapping relations are tone and colour temperature mapping relations；Or, for according to target environment colour temperature and environment
Colour temperature mapping relations determine that the white balance parameter of target image, environment colour temperature mapping relations are white balance and colour temperature mapping relations.
Wherein, adjustment unit 804 may include：
6th determination subelement 8041, for determining target figure according to contrast level parameter, saturation parameters and colorimetric parameter
First compensating parameter of picture；
The first adjustment subelement 8042, for adjusting target image according to the first compensating parameter.
Wherein, adjustment unit 804 can further comprise：
7th determination subelement 8043, for determining target according to contrast level parameter, saturation parameters and white balance parameter
Second compensating parameter of image；
Second adjustment subelement 8044, for adjusting target image according to the second compensating parameter.
In the embodiment of the present invention, what video conference terminal can have been demarcated according to the algorithmic statement result of video camera and in advance
Camera parameters correspondence and proj ector parameters correspondence, the target image parameter of modification video conference terminal output are real
Now to the adjustment of the target image of output.
Video conference terminal in the embodiment of the present invention is described above, below to the video in the embodiment of the present invention
Conference system is described, referring to Fig. 10, the video conferencing system in the embodiment of the present invention includes：
Video conference terminal, image display device and video camera；
Video conference terminal receives for the network by establishing or sends target image, and adjusted to target image
Whole, the video conference terminal can be any one of them video conference terminal involved in Fig. 8, Fig. 9；
Image display device, for showing the target image after adjusting；
Video camera, for the convergence result of algorithm to be supplied to video conference terminal.
Optionally, in the embodiment of the present invention in another embodiment of video conferencing system, video conferencing system includes local regards
Frequency conference system and far-end video conference system.
Optionally, in the embodiment of the present invention in another embodiment of video conferencing system, local video conference system and distal end
Video conferencing system establishes network connection by video conference terminal.
Optionally, in the embodiment of the present invention in another embodiment of video conferencing system, image display device is projecting apparatus.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be the indirect coupling by some interfaces, device or unit
It closes or communicates to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer read/write memory medium.Based on this understanding, the technical solution of the application is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the application
Portion or part steps.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (Read-Only Memory,
ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. are various can store program
The medium of code.
The above, above example are only to illustrate the technical solution of the application, rather than its limitations；Although with reference to before
Embodiment is stated the application is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
Modification or replacement, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution.
Claims (13)
1. a kind of method of image adjustment, which is characterized in that including：
Obtain the convergence result of the convergence result and automatic white balance AWB algorithms of the automatic exposure AE algorithms of video camera；
Target environment illumination is determined according to the convergence result of the AE algorithms and AE Algorithm mapping relationships, according to the AWB algorithms
Convergence result and AWB Algorithm mapping relationships determine target environment colour temperature, the AE Algorithm mappings relationship is used to indicate environment photograph
The mapping relations of degree and the convergence results of the AE algorithms, the AWB Algorithm mappings relationship be used to indicate environment colour temperature with it is described
The mapping relations of the convergence result of AWB algorithms；
The first parameter that target image is determined according to the target environment illumination and ambient light illumination mapping relations, according to the target
Environment colour temperature determines that the second parameter of target image, the ambient light illumination mapping relations are used to indicate with environment colour temperature mapping relations
The mapping relations of first parameter and ambient light illumination, the environment colour temperature mapping relations are used to indicate second parameter and ring
The mapping relations of border colour temperature；
According to target image described in first parameter and second parameter adjustment.
2. according to the method described in claim 1, it is characterized in that, the convergence of the automatic exposure AE algorithms for obtaining video camera
As a result the convergence result with automatic white balance AWB algorithms includes：
Obtain the aperture information normalized value of the video camera, shutter information normalized value, luminance gain information normalized value, red
Gain information normalized value and blue gain information normalized value.
3. according to the method described in claim 2, it is characterized in that, the convergence result and AE algorithms according to the AE algorithms
Mapping relations determine that target environment illumination includes：
The AE overall gains are determined according to following formula；
AE overall gains=aperture information normalized value * shutter information normalized value * luminance gain information normalized values；
Target environment illumination is determined according to the AE overall gains and the AE Algorithm mappings relationship.
4. according to the method described in claim 2, it is characterized in that, described calculate according to the convergence result and AWB of the AWB algorithms
Method mapping relations determine that target environment colour temperature includes：
The target environment color is determined according to the red gain information, the blue gain information and the AWB Algorithm mappings relationship
Temperature.
5. according to the method described in claim 1, it is characterized in that, described reflect according to the target environment illumination with ambient light illumination
The relationship of penetrating determines that the first parameter of target image includes：
Determine that the contrast level parameter of target image and saturation degree are joined according to the target environment illumination and ambient light illumination mapping relations
Number, the ambient light illumination mapping relations are contrast/saturation degree and illumination mapping relations.
6. according to the method described in claim 1, it is characterized in that, described reflect according to the target environment colour temperature with environment colour temperature
The relationship of penetrating determines that the second parameter of target image includes：
The colorimetric parameter of target image, the environment colour temperature are determined according to the target environment colour temperature and environment colour temperature mapping relations
Mapping relations are tone and colour temperature mapping relations；
Or, determining the white balance parameter of target image, the ring according to the target environment colour temperature and environment colour temperature mapping relations
Border colour temperature mapping relations are white balance and colour temperature mapping relations.
7. a kind of video conference terminal, which is characterized in that including：
Acquiring unit, the receipts of the convergence result and automatic white balance AWB algorithms of the automatic exposure AE algorithms for obtaining video camera
Hold back result；
First determination unit, for determining that target environment is shone according to the convergence result and AE Algorithm mapping relationships of the AE algorithms
Degree, target environment colour temperature, the AE Algorithm mappings are determined according to the convergence result of the AWB algorithms and AWB Algorithm mapping relationships
Relationship is used to indicate the mapping relations of ambient light illumination and the convergence result of the AE algorithms, and the AWB Algorithm mappings relationship is used for
The mapping relations of indicative for environments colour temperature and the convergence result of the AWB algorithms；
Second determination unit, for determining the first of target image according to the target environment illumination and ambient light illumination mapping relations
Parameter determines that the second parameter of target image, the environment are shone according to the target environment colour temperature and environment colour temperature mapping relations
Degree mapping relations are used to indicate the mapping relations of first parameter and ambient light illumination, and the environment colour temperature mapping relations are for referring to
Show the mapping relations of second parameter and environment colour temperature；
Adjustment unit, for according to target image described in first parameter and second parameter adjustment.
8. video conference terminal according to claim 7, which is characterized in that the acquiring unit includes：
Obtain subelement, aperture information normalized value, shutter information normalized value, luminance gain for obtaining the video camera
Information normalized value, red gain information normalized value and blue gain information normalized value.
9. video conference terminal according to claim 8, which is characterized in that first determination unit includes：
First determination subelement, for determining the AE overall gains according to following formula；
AE overall gains=aperture information normalized value * shutter information normalized value * luminance gain information normalized values；
Second determination subelement, for determining target environment illumination according to the AE overall gains and the AE Algorithm mappings relationship.
10. video conference terminal according to claim 8, which is characterized in that first determination unit includes：
Third determination subelement, for according to the red gain information, the blue gain information and the AWB Algorithm mappings relationship
Determine the target environment colour temperature.
11. video conference terminal according to claim 7, which is characterized in that second determination unit includes：
4th determination subelement, pair for determining target image according to the target environment illumination and ambient light illumination mapping relations
Than degree parameter and saturation parameters, the ambient light illumination mapping relations are contrast/saturation degree and illumination mapping relations.
12. video conference terminal according to claim 7, which is characterized in that second determination unit includes：
5th determination subelement, the color for determining target image according to the target environment colour temperature and environment colour temperature mapping relations
It is tone and colour temperature mapping relations to adjust parameter, the environment colour temperature mapping relations；
Or, the white balance parameter for determining target image according to the target environment colour temperature and environment colour temperature mapping relations, institute
It is white balance and colour temperature mapping relations to state environment colour temperature mapping relations.
13. a kind of video conferencing system, which is characterized in that including：
Video conference terminal, image display device and video camera；
The video conference terminal is the video conference terminal described in any one of claim 7 to 12.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710020878.5A CN108307139A (en) | 2017-01-11 | 2017-01-11 | A kind of method of image adjustment, video conference terminal and video conferencing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710020878.5A CN108307139A (en) | 2017-01-11 | 2017-01-11 | A kind of method of image adjustment, video conference terminal and video conferencing system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108307139A true CN108307139A (en) | 2018-07-20 |
Family
ID=62872118
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710020878.5A Pending CN108307139A (en) | 2017-01-11 | 2017-01-11 | A kind of method of image adjustment, video conference terminal and video conferencing system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108307139A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109993738A (en) * | 2019-03-31 | 2019-07-09 | 联想(北京)有限公司 | A kind of processing method and electronic equipment |
| CN110121064A (en) * | 2019-05-15 | 2019-08-13 | 深圳市道通智能航空技术有限公司 | A kind of image color adjusting method, device and unmanned plane |
| CN110611800A (en) * | 2019-09-29 | 2019-12-24 | 深圳市火乐科技发展有限公司 | Projection adjusting method and device, projector and projection system |
| CN110719449A (en) * | 2019-09-29 | 2020-01-21 | 深圳市火乐科技发展有限公司 | Focusing method of intelligent projector and related product |
| CN110996086A (en) * | 2019-12-26 | 2020-04-10 | 成都极米科技股份有限公司 | Projection brightness adjusting method and related device |
| TWI775158B (en) * | 2020-09-25 | 2022-08-21 | 宏碁股份有限公司 | Display system and image clarity enhancement method thereof |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1489851A1 (en) * | 2003-06-19 | 2004-12-22 | Marantz Japan, Inc. | Projector apparatus |
| CN101098489A (en) * | 2006-06-27 | 2008-01-02 | 三星电子株式会社 | Image processing apparatus and method of enhancing visibility of displayed image |
| CN101126661A (en) * | 2007-09-20 | 2008-02-20 | 北京中星微电子有限公司 | Method and apparatus for determining ambient light |
| CN103634581A (en) * | 2012-08-21 | 2014-03-12 | 联想(北京)有限公司 | White balance control method, device and electronic equipment |
| CN104428829A (en) * | 2012-06-21 | 2015-03-18 | 华为终端有限公司 | Color control method and communication apparatus |
-
2017
- 2017-01-11 CN CN201710020878.5A patent/CN108307139A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1489851A1 (en) * | 2003-06-19 | 2004-12-22 | Marantz Japan, Inc. | Projector apparatus |
| CN101098489A (en) * | 2006-06-27 | 2008-01-02 | 三星电子株式会社 | Image processing apparatus and method of enhancing visibility of displayed image |
| CN101126661A (en) * | 2007-09-20 | 2008-02-20 | 北京中星微电子有限公司 | Method and apparatus for determining ambient light |
| CN104428829A (en) * | 2012-06-21 | 2015-03-18 | 华为终端有限公司 | Color control method and communication apparatus |
| CN103634581A (en) * | 2012-08-21 | 2014-03-12 | 联想(北京)有限公司 | White balance control method, device and electronic equipment |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109993738A (en) * | 2019-03-31 | 2019-07-09 | 联想(北京)有限公司 | A kind of processing method and electronic equipment |
| CN110121064A (en) * | 2019-05-15 | 2019-08-13 | 深圳市道通智能航空技术有限公司 | A kind of image color adjusting method, device and unmanned plane |
| CN110611800A (en) * | 2019-09-29 | 2019-12-24 | 深圳市火乐科技发展有限公司 | Projection adjusting method and device, projector and projection system |
| CN110719449A (en) * | 2019-09-29 | 2020-01-21 | 深圳市火乐科技发展有限公司 | Focusing method of intelligent projector and related product |
| CN110611800B (en) * | 2019-09-29 | 2021-10-19 | 深圳市火乐科技发展有限公司 | Projection adjusting method and device, projector and projection system |
| CN110719449B (en) * | 2019-09-29 | 2021-12-21 | 深圳市火乐科技发展有限公司 | Focusing method of intelligent projector and related product |
| CN110996086A (en) * | 2019-12-26 | 2020-04-10 | 成都极米科技股份有限公司 | Projection brightness adjusting method and related device |
| CN110996086B (en) * | 2019-12-26 | 2022-07-08 | 成都极米科技股份有限公司 | Projection brightness adjusting method and related device |
| TWI775158B (en) * | 2020-09-25 | 2022-08-21 | 宏碁股份有限公司 | Display system and image clarity enhancement method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108307139A (en) | A kind of method of image adjustment, video conference terminal and video conferencing system | |
| CN102056368B (en) | Method and device for controlling meeting place environment in video communication | |
| CN107197225B (en) | Color digital camera white balance correcting based on chromatic adaptation model | |
| CN110447051B (en) | Perceptually preserving contrast and chroma of a reference scene | |
| US11277595B2 (en) | White balance method for image and terminal device | |
| CN106782428B (en) | A kind of the colour gamut method of adjustment and colour gamut adjustment system of display device | |
| US10264231B2 (en) | Dynamically scaling the color temperature and luminance of a display output | |
| CN109151426A (en) | A kind of white balance adjustment method, device, camera and medium | |
| CN106997748B (en) | Display equipment and method and apparatus for display | |
| US11457188B2 (en) | Method and system for adjusting white balance, and display | |
| CN108234971A (en) | White balance parameter determines method, white balance adjustment method and device, storage medium, terminal | |
| CN112655193A (en) | Camera, alignment method and device thereof and cradle head | |
| CN106327444B (en) | One kind is for color synthetic method and device in high dynamic range images synthesis | |
| TWI782481B (en) | Auto white balance adjusting method and auto white balance adjusting system | |
| US20150085162A1 (en) | Perceptual radiometric compensation system adaptable to a projector-camera system | |
| US20230328212A1 (en) | Systems and methods for optimal color calibration for led volume stages | |
| US11172119B2 (en) | Device with a camera and a screen enabling control of light output characteristics | |
| US20140176743A1 (en) | Method, apparatus and system for publishing creative looks as three-dimensional lookup tables | |
| CN113259645B (en) | Color temperature adjusting method and device, computer readable storage medium and projection equipment | |
| CN106464814A (en) | Flash collision detection, compensation, and prevention | |
| US11657779B2 (en) | Transmission of solid color images over a communication session for illumination at an endpoint | |
| TW201121336A (en) | Method for correcting high dynamic range synthetic images | |
| JP3539883B2 (en) | Image processing method and apparatus, recording medium, imaging apparatus, and image reproducing apparatus | |
| CN102377928A (en) | Imaging apparatus and imaging apparatus control method | |
| US10887567B2 (en) | Camera color image processing |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180720 |