CN107959851A - Colour temperature detection method and device, computer-readable recording medium and computer equipment - Google Patents
Colour temperature detection method and device, computer-readable recording medium and computer equipment Download PDFInfo
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- CN107959851A CN107959851A CN201711420274.6A CN201711420274A CN107959851A CN 107959851 A CN107959851 A CN 107959851A CN 201711420274 A CN201711420274 A CN 201711420274A CN 107959851 A CN107959851 A CN 107959851A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/02—Diagnosis, testing or measuring for television systems or their details for colour television signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
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- General Health & Medical Sciences (AREA)
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Abstract
This application discloses a kind of colour temperature detection method, including：Divide the image into multiple regions；Image is handled to identify the light source in each region；The colour temperature assessed value and weights in each region are calculated according to light source；With the equivalent colour temperature assessed value according to colour temperature assessed value and weight computing image.Disclosed herein as well is a kind of colour temperature detection device, computer-readable recording medium and computer equipment.Colour temperature detection device, computer-readable recording medium and the computer equipment of the application to image by carrying out subregion, identify the light source in each region, the colour temperature assessed value and weights in each region are determined according to the light source in each region, then the equivalent colour temperature assessed value of image is determined according to the colour temperature assessed value and weights in each region, and the colour temperature for no longer relying solely on main light source carries out white balance processing, so, it can prevent that main light source switching causes the tone of preview image to follow saltus step when camera lens is shaken, white balance stability is lifted, improves user experience.
Description
Technical field
This application involves technical field of image processing, more particularly to a kind of colour temperature detection method, colour temperature detection device, calculate
Machine readable storage medium storing program for executing and computer equipment.
Background technology
Under multiple light courcess scene, when carrying out white balance correction to image using mirror-reflection method, it can be selected from multiple light sources
One of light source is taken as main light source, and white balance compensation is carried out based on the color of main light source.However, when camera lens inclines
When tiltedly or movement causes to occur slight angle change, the main light source that can cause to choose frequently changes, and then causes white balance correction
The saltus step always of the picture tone of image afterwards, influences user experience.
The content of the invention
The application embodiment provide a kind of colour temperature detection method, colour temperature detection device, computer-readable recording medium and
Computer equipment.
The colour temperature detection method of the application embodiment includes：
Divide the image into multiple regions；
Described image is handled to identify the light source in each region；
The colour temperature assessed value and weights in each region are calculated according to the light source；With
According to the colour temperature assessed value and the equivalent colour temperature assessed value of the weight computing described image.
The colour temperature detection device of the application embodiment includes division module, processing module, the first computing module and second
Computing module.The division module is used to divide the image into multiple regions.Processing module is used to handle described image to identify often
The light source in a region.Computing module is used for the colour temperature assessed value and weights that each region is calculated according to the light source.
Second computing module is used for the equivalent colour temperature assessed value according to the colour temperature assessed value and the weight computing described image.
Non-volatile computer of the one or more of the application embodiment comprising computer executable instructions is readable to be deposited
Storage media, when the computer executable instructions are executed by one or more processors so that described in the processor performs
Colour temperature detection method.
A kind of computer equipment of the application embodiment, including memory and processor, store in the memory
Computer-readable instruction, when described instruction is performed by the processor so that the processor performs the colour temperature detection method.
Colour temperature detection method and device, computer-readable recording medium and the computer equipment of the application embodiment pass through
Subregion is carried out to image, identifies the light source in each region, the colour temperature assessed value in each region is determined according to the light source in each region
And weights, the equivalent colour temperature assessed value of image is then determined according to the colour temperature assessed value and weights in each region, and it is no longer independent
The colour temperature for relying on main light source carries out white balance processing, in this way, can prevent that main light source switching causes preview graph when camera lens is shaken
The tone of picture follows saltus step, lifts white balance stability, improves user experience.
The additional aspect and advantage of the application embodiment will be set forth in part in the description, partly by from following
Become obvious in description, or recognize by the practice of the application.
Brief description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of application, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of the colour temperature detection method of the application certain embodiments.
Fig. 2 is the module diagram of the colour temperature detection device of the application certain embodiments.
Fig. 3 is the floor map of the computer equipment of the application certain embodiments.
Fig. 4 is the flow diagram of the colour temperature detection method of the application certain embodiments.
Fig. 5 is the module diagram of the colour temperature detection device of the application certain embodiments.
Fig. 6 is the schematic diagram of a scenario of the colour temperature detection method of the application certain embodiments.
Fig. 7 is the schematic diagram of a scenario of the colour temperature detection method of the application certain embodiments.
Fig. 8 is the histogram that every sub-regions of the colour temperature detection method of the application certain embodiments are formed.
Fig. 9 is the schematic diagram of a scenario of the colour temperature detection method of the application certain embodiments.
Figure 10 is the schematic diagram of a scenario of the colour temperature detection method of the application certain embodiments.
Figure 11 is the flow diagram of the colour temperature detection method of the application certain embodiments.
Figure 12 is the module diagram of the first computing module of the application certain embodiments.
Figure 13 is the flow diagram of the colour temperature detection method of the application certain embodiments.
Figure 14 is the module diagram of the first computing module of the application certain embodiments.
Figure 15 is the schematic diagram of a scenario of the colour temperature detection method of the application certain embodiments.
Figure 16 is the flow diagram of the colour temperature detection method of the application certain embodiments.
Figure 17 is the module diagram of the first computing module of the application certain embodiments.
Figure 18 is the flow diagram of the colour temperature detection method of the application certain embodiments.
Figure 19 is the module diagram of the first computing module of the application certain embodiments.
Figure 20 is the schematic diagram of a scenario of the colour temperature detection method of the application certain embodiments.
Figure 21 is the colour temperature curve synoptic diagram of the application certain embodiments.
Figure 22 is the module diagram of the computer equipment of the application certain embodiments.
Figure 23 is the module diagram of the image processing circuit of the application certain embodiments.
Embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the object, technical solution and advantage of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the application, and
It is not used in restriction the application.
It is appreciated that term " first " used in this application, " second " etc. can be used to describe various elements herein,
But these elements should not be limited by these terms.These terms are only used to distinguish first element and another element.
Referring to Fig. 1, the colour temperature detection method of the application embodiment comprises the following steps：
S12：Divide the image into multiple regions；
S14：Image is handled to identify the light source in each region；
S16：The colour temperature assessed value and weights in each region are calculated according to light source；With
S18：According to colour temperature assessed value and the equivalent colour temperature assessed value of weight computing image.
Referring to Fig. 2, the colour temperature detection device 10 of the application embodiment includes division module 12, processing module 14, the
One computing module 16 and the second computing module 18.Division module 12 is used to divide the image into multiple regions.Processing module 14 is used for
Image is handled to identify the light source in each region.First computing unit 16 according to light source calculate each region colour temperature assessed value and
Weights.Second computing unit is used for the equivalent colour temperature assessed value according to colour temperature assessed value and weight computing image.
The colour temperature detection method of the application embodiment can realize by the colour temperature detection device 10 of the application embodiment,
Wherein, step S12 can be realized by division module 12, and step S14 can be realized by processing module 14, and step S16 can be by
One computing module 16 realizes that step S18 can be realized by the second computing module 18.
Referring to Fig. 3, the colour temperature detection device 10 of the application embodiment can be applied to the meter of the application embodiment
Calculate in machine equipment 100, in other words, the computer equipment 100 of the application embodiment can include the application embodiment
Colour temperature detection device 10.
In some embodiments, computer equipment 100 include mobile phone, tablet computer, laptop, Intelligent bracelet,
Intelligent watch, intelligent helmet, intelligent glasses etc..
The application embodiment colour temperature detection device 10, computer-readable recording medium 800 and computer equipment 100 pass through
Subregion is carried out to image, identifies the light source in each region, the colour temperature assessed value in each region is determined according to the light source in each region
And weights, the equivalent colour temperature assessed value of image is then determined according to the colour temperature assessed value and weights in each region, and it is no longer independent
The colour temperature for relying on main light source carries out white balance processing, in this way, can prevent that main light source switching causes preview graph when camera lens is shaken
The tone of picture follows saltus step, lifts white balance stability, improves user experience.
Referring to Fig. 4, in some embodiments, step S14 comprises the following steps：
S142：Region is divided into more sub-regions；
S144：According to the histogram of every sub-regions, judge whether subregion is the target subregion for including light source；
S146：When subregion is the target subregion for including light source, adjacent multiple target sub-districts are judged whether
Domain；
S148：It is light source by adjacent multiple target sub-region stitchings there are during adjacent multiple target subregions；With
S141：There is no during adjacent multiple target subregions, target subregion is determined as light source.
Referring to Fig. 5, in some embodiments, colour temperature detection device includes division unit 142, the first judging unit
144th, the second judging unit 146,148 and first determination unit 141 of concatenation unit.Division unit 142 is used to region being divided into more
Sub-regions.First judging unit 144 is used to, according to the histogram per sub-regions, judge whether subregion is to include light source
Target subregion.Second judging unit 146 judges whether adjacent when subregion is the target subregion for including light source
Multiple target subregions.Concatenation unit 148 is used for there are during adjacent multiple target subregions, by adjacent multiple targets
Region is spliced into light source.First determination unit 141 is used for there is no during adjacent multiple target subregions, by target subregion
It is determined as light source.
In other words, step S142 can be realized by division unit 142, and step S144 can be by the first judging unit 144
Realize, step S146 can be realized that step S148 can be realized by concatenation unit 148, step S141 by the 3rd judging unit 146
It can be realized by the first determination unit 141.
So, it may be determined that the position of the light source in image and number.
Specifically, referring to Fig. 6-8, in one embodiment, region is first divided into more sub-regions by colour temperature detection method,
For example, 4*5 sub-regions.4 histograms can be drawn by the channel value of R, Gr, Gb, B per sub-regions, then according to each
4 histograms of subregion judge whether the region is the target area for including light source.In figure 6 and figure 7, region includes more
A target subregion.For example, the region in Fig. 6 includes 3 target subregions, the region in Fig. 7 includes 8 target subregions.
Colour temperature detection method judges whether adjacent multiple targets when being the target subregion for including light source there are subregion
Region, that is, judge whether that a light source covers the situation of multiple target subregions at the same time, wherein, covering can be that part is covered
Cover or be completely covered.Colour temperature detection method is there are during adjacent multiple target subregions, by adjacent multiple target sub-districts
Domain is spliced into light source；There is no during adjacent multiple target subregions, each target subregion is determined as light source.It please join
Fig. 6 is read, 3 mutual non-conterminous target subregions are identified as light source R, light source G, light source B.Referring to Fig. 7, wherein 6 phases
Adjacent target sub-region stitching is a complete light source R, two other non-conterminous target subregion is identified as light source
G, light source B.
In addition, it is necessary to, it is noted that in fig. 8, the method for drafting of the histogram of subregion is merely illustrative, it is straight in Fig. 8
The transverse axis of square figure is pixel value, and the longitudinal axis is number of pixels.In other embodiments, the transverse axis of histogram can also be pixel
Number, the longitudinal axis is pixel value；Or the transverse axis of histogram is number of pixels accounting, the longitudinal axis is pixel value；Or the transverse axis of histogram
For pixel value, the longitudinal axis of histogram is number of pixels accounting.
In some embodiments, judge whether the subregion is to include light source in the histogram according to certain sub-regions
Target subregion when, can by judge pixel value more than predetermined value number of pixels accounting whether more than predetermined accounting come real
It is existing.For example, can be by judging whether number of pixels accounting of the pixel value more than 239 is realized more than 5%, when pixel value exceedes
When 239 number of pixels accounting is more than 5%, it is the target subregion for including light source to show the subregion；When pixel value is more than 239
Number of pixels accounting be no more than 5% when, it is not the target subregion for including light source to show the subregion.
In some embodiments, what can be fixed divides the image into multiple regions, as shown in figure 9, the handle that can be fixed
Image is divided into 4 regions.Certainly, it is not limited to divide the image into 4 regions.
In some embodiments, as shown in Figures 9 and 10, subregion can divide the image into the identical predetermined number of area
Region, can also be determined to need the number in region divided according to the distribution of light sources in image, that is, tried not a light
Source is divided into inside multiple regions (as shown in Figure 9), but a light source or multiple complete light sources occupy a region (as schemed
Shown in 10), displaying has only divided 4 regions for convenience here, actual to be divided into more or less according to the distribution of light source
Region.In this way, more accurately the colour temperature assessed value and weights in the region can be calculated.
1 is please referred to Fig.1, in some embodiments, step S16 comprises the following steps：
S162：Whether the number for judging the light source in region is 0；With
S164：The weights that region is determined when the number of the light source in region is 0 are 0.
2 are please referred to Fig.1, in some embodiments, it is true that the first computing module 16 includes the first judging unit 162, second
Order member 164.First judging unit 162 is used to judge whether the number of the light source in region to be 0.Second determination unit 164 is used for
The weights that region is determined when the number of the light source in region is 0 are 0.
In other words, step S162 can be realized by display unit 162.
In this way, not having the region of light source in image, the weights in the region are 0, and in other words, the region of no light source will not
Estimation to the equivalent colour temperature assessed value of image has an impact.
3 are please referred to Fig.1, in some embodiments, step S16 comprises the following steps：
S166：Judge whether the number of the light source in region is more than 1 when the number of the light source in region is not 0；
S168：The colour temperature that light source is determined when the number of the light source in region is equal to 1 is the colour temperature assessed value in region；
S161：When the number of the light source in region is more than 1 according to scenario parameters of the light source in region, corresponding area, bright
The colour temperature assessed value that at least one of parameter determines the main light source in each region and the colour temperature of definite main light source is region is spent, its
In, light source includes main light source, and scenario parameters include the time of shooting image and the signal strength of GPS, and luminance parameter includes multiple
The corresponding brightness of light source；With
S163：The power in region is determined according at least one of the scenario parameters of light source, corresponding area, luminance parameter
Value.
4 are please referred to Fig.1, in some embodiments, it is true that the first computing module 16 includes the second judging unit the 166, the 3rd
Order member 168, the 4th determination unit 161 and the 5th determination unit 163.Second judging unit 166 is for the light source in region
Number judges whether the number of the light source in region is more than 1 when not being 0.3rd determination unit 168 is used for the number in the light source in region
Mesh determines that the colour temperature of light source is the colour temperature assessed value in region when being equal to 1；4th determination unit 161 is used for the number in the light source in region
When mesh is more than 1 each region is determined according at least one of scenario parameters, corresponding area, luminance parameter of the light source in region
Main light source and determine main light source colour temperature be region colour temperature assessed value, wherein, light source includes main light source, and scenario parameters include
The time of shooting image and the signal strength of GPS, luminance parameter include the corresponding brightness of multiple light sources；5th determination unit
163 are used for the weights according to the definite region of at least one of scenario parameters, corresponding area, luminance parameter of light source.
In other words, step S166 realizes that step S168 is realized by the 3rd determination unit 168 by the second judging unit 166,
Step S161 is realized that step S163 is realized by the 5th determination unit 163 by the 4th determination unit 161.
In this way, the colour temperature that light source is determined when image is equal to 1 there are light source and number of light sources is the colour temperature assessed value in region,
When the number of the light source in region is more than 1 according in the scenario parameters, corresponding area, luminance parameter of the light source in region at least
The colour temperature of a kind of main light source for determining each region and definite main light source is the colour temperature assessed value in region.According to light source or main light source
Scenario parameters, corresponding area, at least one of luminance parameter determine light source or the weights of main light source region.Can be with
The colour temperature assessed value and weights of more accurate estimation region.
Specifically, it can distinguish which period is current time be located at according to the time of shooting image, by being stored in this
User's daily schedule of ground database and conventional practice, it can be determined that user is likely to be at that what place carries out in current slot
Shooting activity, you can to determine scenario parameters by the time of shooting image.For example, at noon 12 o'clock when, the user
Generally have lunch in dining room；At night after 8 points, user generally reads a book in parlor.In this way, can be with according to the time of shooting image
Substantially distinguish user and be in indoor environment or outdoor environment or some special scenes.Further, since outdoor GPS
Signal strength of the signal strength generally than indoor GPS is stronger.Therefore, can also substantially be distinguished according to the signal strength of GPS
User is in indoor environment or outdoor environment.It is appreciated that the colour temperature of indoor light source is generally below 5000K, for example, tungsten filament
The colour temperature of lamp is 2760-2900K, and the colour temperature of flash lamp is 3800K；The colour temperature of outdoor light source is generally in more than 5000K, example
Such as, the colour temperature of noon sunlight is 5000K, and the colour temperature in blue sky is 10000K.In this way, indoor environment or outdoor ring are according to user
Border can substantially judge current colour temperature should in more than 5000K or below 5000K, and the colour temperature of light source with according to scenario parameters
And the smaller then weights of deviation of definite current colour temperature are bigger.For example, as shown in figure 15, current color is determined according to scenario parameters
Temperature is 5000K, and the colour temperature assessed value of light source G is 6000K, and light source B colour temperatures assessed value is 8000K, the colour temperature assessed value of light source G with
The deviation of current colour temperature is 1000K, and the colour temperature assessed value of light source B and the deviation of current colour temperature are 3000K, then light source G institutes
Region weights be more than light source B where region weights.Thus, it is possible to by the scenario parameters of image, pass through and compare
The departure of the colour temperature of light source colour temperature corresponding with current scene parameter determines the weights in the region.
, can be by comparing the areas of multiple light sources when determining the weights in region according to the corresponding area of multiple light sources
Size, light source occupied area is bigger, and corresponding weights are bigger.For example, as shown in figure 15, divide the image into four regions, light source R
Area be more than light source G area, and more than light source B area, then the weights in the region where light source R be more than light source G and light
The weights of source B regions.
When determining the weights in region according to the corresponding brightness of light source, area can be determined by comparing the brightness of multiple light sources
The weights in domain.It is appreciated that the brightness of light source is higher, the influence to image entirety is generally bigger.As shown in figure 15, light source G is bright
Angle value is 100, and light source B brightness values are 200, then the weights in region of the weights in the region where light source B more than light source G.
The white balancing treatment method of the application embodiment can be according to time of the shooting image of multiple light sources and GPS
The combination of signal strength determines the weights in region, or the weights in region are determined according to the corresponding area of multiple light sources；Or root
The weights in region are determined according to the corresponding brightness of multiple light sources；Or according to time of the shooting images of multiple light sources and GPS
The combination of signal strength and the corresponding area of multiple light sources determine the weights in region；Or according to the shooting images of multiple light sources
The combination of the signal strength of time and GPS and the average brightness of the corresponding brightness of multiple light sources and image determine the power in region
Value；Or region is determined according to the corresponding brightness of the corresponding area of multiple light sources and multiple light sources and the average brightness of image
Weights；Or according to the combining of the signal strength of time of the shooting images of multiple light sources and GPS, corresponding area and right
The brightness answered determines the weights in region.
In some embodiments, white balancing treatment method is according to the time of the shooting image of multiple light sources and the letter of GPS
The combining of number intensity, corresponding area and corresponding brightness determine the weights in region.The time of the shooting image of multiple light sources and
The combining of the signal strength of GPS, corresponding area and corresponding brightness can set different weights respectively.In this way, can be more
Weights accurately are determined for different zones, so as to ensure that the equivalent colour temperature assessed value of the image that finally calculates is more accurate.
6 are please referred to Fig.1, in some embodiments, step S163 is further comprising the steps of：
S1632：When the number of light sources in region is 1 according in the scenario parameters, corresponding area, luminance parameter of light source
The weights at least one definite region；With
S1634：When the number of light sources in region is more than 1 according to the scenario parameters, corresponding area, luminance parameter of main light source
At least one of determine region weights.
7 are please referred to Fig.1, in some embodiments, the 5th determining module 163 further includes 1632 He of the first determination subelement
Second determination subelement 1634.First determination subelement 1632 is used for when the number of light sources in region is 1 according to the scene of light source
At least one of parameter, corresponding area, luminance parameter determine the weights in region.Second determination subelement 1634 is used in area
When the number of light sources in domain is more than 1 area is determined according at least one of scenario parameters, corresponding area, luminance parameter of main light source
The weights in domain.
In other words, step S1632 realizes that step S1634 is by the second determination subelement by the first determination subelement 1632
1634 realize.
In this way, the weights in the region are directly estimated using the light source when some region only has single source, and at some
When there are multiple light sources in region, it is main light source that select influences maximum light source to the region colour temperature assessed value, then according to the key light
The weights in the region are estimated in source, can more accurate estimation region weights.
8 are please referred to Fig.1, in some embodiments, step S16 is further comprising the steps of：
S165：According to the Luminance Distribution of the center of light source or main light source radially, highlight regions and middle clear zone are determined
Domain；
S167：By the primary color channels pixel average of highlight regions subtract the primary color channels pixel average of middle bright area with
Determine the color of light source or main light source；With
S169：The colour temperature assessed value of light source or main light source is determined and according to light source or master according to the color of light source or main light source
The colour temperature assessed value of light source determines the colour temperature assessed value in region.
9 are please referred to Fig.1, in some embodiments, it is true that the first computing unit further includes the 6th determination unit the 165, the 7th
Order member 167 and the 8th determination unit 169.6th determination unit 165 be used for according to the center of light source or main light source radially to
Outer Luminance Distribution, determines highlight regions and middle bright area.7th determination unit 167 is used for the primary color channels picture of highlight regions
Plain average value subtracts the primary color channels pixel average of middle bright area with the color of definite light source or main light source.8th determination unit
169 are used to determine the colour temperature assessed value of light source or main light source and according to light source or main light source according to the color of light source or main light source
Colour temperature assessed value determines the colour temperature assessed value in region.
In other words, step S165 is realized by the 6th determination unit 165, and step S167 passes through the 7th determination unit 167
Realize, step S169 is realized by the 8th determination unit 169.
In this way, light source or main light source color can be determined and according to light source or key light by highlight regions H and middle bright area M
Source color determines light source or main light source colour temperature.
Figure 20 is referred to, after light source position in the picture determines, it will be understood that the center O region of the light source in image
For overexposure region, generally Great White Spot, the information not comprising light source colour.Light source colour can by highlight regions H and in it is bright
The primary color channels pixel average of region M determines.Highlight regions H can refer at the brightness value of the center of light source radially
In the region that the pixel of the first brightness range L1 is formed, the first brightness range L1 be, for example, [200,239).Middle bright area M can
To refer to that the brightness value of the center of light source radially is in the region that the pixel of the second brightness range L2 is formed, second is bright
Spend range L 2 be, for example, [150,200).It should be noted that the specific value of the first brightness range L1 and the second brightness range L2
It can be determined according to the Luminance Distribution of the center O of light source radially, such as the brightness decay of light source must be than very fast, Ke Yizeng
Big first brightness range L1 and the second brightness range L2；Such as the brightness decay of light source obtains slow, the first brightness can be reduced
1 and second brightness range L2 of range L.
The primary color channels pixel average of highlight regions is the average value of the pixel value of all pixels of highlight regions, in
The primary color channels pixel average of bright area is the average value of the pixel value of all pixels of middle bright area.Assuming that highlight regions
Number of pixels be C1, the number of pixels of middle bright area is C2, then
The primary color channels pixel average of highlight regions is：
The primary color channels pixel average of middle bright area is：
By the primary color channels pixel average of highlight regionsSubtract the primary color channels pixel average of middle bright areaI.e., can be to should determine that light source or key light according to the color of light source or main light source to determine the color of light source or main light source
The colour temperature in source.In some embodiments, the colour temperature of light source is determined according to the color of light source, is specifically as follows：According to light source
The correspondence of the colour temperature of color, the color of light source and light source determines the colour temperature of light source.Wherein, the color of the color of light source and light source
The correspondence of temperature can be mapping table and/or colour temperature curve (as shown in figure 21).Specifically, in one embodiment, can be with
Colour temperature be respectively 3000K, 4000K, 5000K, 6000K ... light box under, obtain image simultaneously be obtained by calculation
It is corresponding under above-mentioned different-colourValue, it is possible thereby to be formedMapping table or color between the colour temperature of light source
Warm curve map, and the colour temperature curve map or mapping table can be stored in local data base.In the application embodiment, counting
ObtainAfterwards, it can inquire about by the colour temperature curve map or mapping table and obtain the colour temperature of corresponding light source or main light source.
Then, can be with according to the correspondence of the colour temperature and white balance parameter of the colour temperature and light source of light source or main light source or main light source
Search and obtain corresponding white balance parameter, so as to carry out white balance processing to image according to white balance parameter.
In some embodiments, primary color channels refer to Color Channel, such as (green red) logical including R (red) passage, Gr
It is at least one in road, Gb (turquoise) passage, B (blueness) passage, in some embodiments, the pixel of Gr passages can be passed through
The pixel value of value and Gb passages obtains the pixel value of G (green) passage.Pixel average can refer to the arithmetic average of pixel value
Value.In one example, each primary color channels pixel average (Ravg, Gavg, Bavg) of highlight regions for (200,210,
220), each primary color channels pixel average (Ravg, Gavg, Bavg) of middle bright area is (160,180,190), then light source face
The passage (R, G, B) of color is (200-160,210-180,220-190), i.e. (40,30,30).
The embodiment of the present application additionally provides a kind of computer-readable recording medium.One or more can perform comprising computer
The non-volatile computer readable storage medium storing program for executing of instruction, when computer executable instructions are executed by one or more processors,
So that processor performs following steps：
S12：Divide the image into multiple regions；
S14：Image is handled to identify the light source in each region；
S16：The colour temperature assessed value and weights in each region are calculated according to light source；With
S18：According to colour temperature assessed value and the equivalent colour temperature assessed value of weight computing image.
Figure 22 is the internal structure schematic diagram of one embodiment Computer equipment 100.As shown in figure 22, which sets
Standby 100 processors 52 for including connecting by system bus 51, memory 53 (being, for example, non-volatile memory medium), memory storage
Device 54, display screen 55 and input unit 56.Wherein, the memory 53 of computer equipment 100 is stored with operating system and computer
Readable instruction.The computer-readable instruction can be performed by processor 52, to realize the colour temperature detection method of the application embodiment.
The processor 52 is used to provide calculating and control ability, supports the operation of whole computer equipment 100.Computer equipment 100
Built-in storage 53 provides environment for the operation of the computer-readable instruction in memory 52.The display screen 55 of computer equipment 100
Can be liquid crystal display or electric ink display screen etc., input unit 56 can be the touch layer covered on display screen 55,
Can also be button, trace ball or the Trackpad or external keyboard, touch-control set on 100 shell of computer equipment
Plate or mouse etc..The computer equipment 100 can be mobile phone, tablet computer, laptop, personal digital assistant or wearable
Equipment (such as Intelligent bracelet, intelligent watch, intelligent helmet, intelligent glasses) etc..It will be understood by those skilled in the art that in Figure 22
The structure shown, only with the schematic diagram of the relevant part-structure of application scheme, does not form and application scheme is answered
With the restriction of computer equipment 100 thereon, specific computer equipment 100 can include more more or less than shown in figure
Component, either combine some components or arranged with different components.
Figure 23 is referred to, the computer equipment 100 of the embodiment of the present application includes image processing circuit 80, image procossing electricity
Road 80 can utilize hardware and or software component to realize, it may include define ISP (Image Signal Processing, image
Signal processing) pipeline various processing units.Figure 23 is the schematic diagram of image processing circuit 800 in one embodiment.Such as Figure 23
It is shown, for purposes of illustration only, only showing the various aspects with the relevant image processing techniques of the embodiment of the present application.
As shown in figure 23, including ISP processors 81, (ISP processors 81 can be processor 52 or place to image processing circuit 80
Manage a part for device 52) and control logic device 82.The view data that camera 83 is caught is handled by ISP processors 81 first, ISP
Processor 81 is analyzed view data to catch the image for the one or more control parameters that can be used for determining camera 83
Statistical information.Camera 83 may include one or more lens 832 and imaging sensor 834.Imaging sensor 834 may include color
Color filter array (such as Bayer filters), imaging sensor 834 can obtain luminous intensity and the wavelength letter that each imaging pixel is caught
Breath, and the one group of raw image data that can be handled by ISP processors 81 is provided.Sensor 84 (such as gyroscope) can be based on sensor
The parameter (such as stabilization parameter) of the image procossing of collection is supplied to ISP processors 81 by 84 interface types.84 interface of sensor can
Think SMIA (Standard Mobile Imaging Architecture, Standard Mobile Imager framework) interface, other serial
Or the combination of parallel camera interface or above-mentioned interface.
In addition, raw image data can be also sent to sensor 84 by imaging sensor 834, sensor 84 can be based on sensing
84 interface type of device is supplied to ISP processors 81, or sensor 84 to arrive raw image data storage raw image data
In video memory 85.
ISP processors 81 handle raw image data pixel by pixel in various formats.For example, each image pixel can have
There is the bit depth of 8,10,12 or 14 bits, ISP processors 81 can carry out raw image data one or more image procossing behaviour
Make, statistical information of the collection on view data.Wherein, image processing operations can by identical or different bit depth precision into
OK.
ISP processors 81 can also receive view data from video memory 85.For example, 84 interface of sensor is by original image
For data sending to video memory 85, the raw image data in video memory 85 is available to ISP processors 81 for place
Reason.Video memory 85 can be independent special in memory 53, a part for memory 53, storage device or electronic equipment
With memory, and it may include DMA (Direct Memory Access, direct direct memory access (DMA)) feature.
When receiving the original from 834 interface of imaging sensor or from 84 interface of sensor or from video memory 85
During beginning view data, ISP processors 81 can carry out one or more image processing operations, such as time-domain filtering.Image after processing
Data can be transmitted to video memory 85, to carry out other processing before shown.ISP processors 81 are stored from image
Device 85 receives processing data, and processing data are carried out at the view data in original domain and in RGB and YCbCr color spaces
Reason.ISP processors 81 processing after view data may be output to display 87 (display 87 may include display screen 55), for
Family is watched and/or is further handled by graphics engine or GPU (Graphics Processing Unit, graphics processor).This
Outside, the output of ISP processors 81 also can be transmitted to video memory 85, and display 87 can read image from video memory 85
Data.In one embodiment, video memory 85 can be configured as realizing one or more frame buffers.In addition, ISP processing
The output of device 81 can be transmitted to encoder/decoder 86, so as to encoding/decoding image data.The view data of coding can be protected
Deposit, and decompressed before being shown in 87 equipment of display.Encoder/decoder 86 can be real by CPU or GPU or coprocessor
It is existing.
The definite statistics of ISP processors 81, which can be transmitted, gives control logic device Unit 82.For example, statistics may include
The imaging sensor such as automatic exposure, automatic white balance, automatic focusing, flicker detection, black level compensation, 832 shadow correction of lens
834 statistical informations.Control logic device 82 may include the treatment element and/or microcontroller for performing one or more routines (such as firmware)
Device, one or more routines according to the statistics of reception, can determine the control parameter of camera 83 and the control of ISP processors 81
Parameter processed.For example, the control parameter of camera 83 may include 84 control parameter of sensor (such as gain, the integration of spectrum assignment
Time, stabilization parameter etc.), camera flash control parameter, 832 control parameter of lens (such as focus on or zoom focal length) or
The combination of these parameters.ISP control parameters may include to be used for automatic white balance and color adjustment (for example, during RGB processing)
Gain level and color correction matrix, and 832 shadow correction parameter of lens.
It it is below the step of realizing colour temperature detection method with image processing techniques in Figure 23：
S12：Divide the image into multiple regions；
S14：Image is handled to identify the light source in each region；
S16：The colour temperature assessed value and weights in each region are calculated according to light source；With
S18：According to colour temperature assessed value and the equivalent colour temperature assessed value of weight computing image.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with
Instruct relevant hardware to complete by computer program, program can be stored in a non-volatile computer storage can be read
In medium, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) etc..
Above example only expresses the several embodiments of the application, its description is more specific and detailed, but can not
Therefore it is interpreted as the limitation to the application the scope of the claims.It should be pointed out that for those of ordinary skill in the art,
On the premise of the application design is not departed from, various modifications and improvements can be made, these belong to the protection model of the application
Enclose.Therefore, the protection domain of the application patent should be determined by the appended claims.
Claims (14)
1. a kind of colour temperature detection method, it is characterised in that the colour temperature detection method includes：
Divide the image into multiple regions；
Described image is handled to identify the light source in each region；
The colour temperature assessed value and weights in each region are calculated according to the light source；With
According to the colour temperature assessed value and the equivalent colour temperature assessed value of the weight computing described image.
2. colour temperature detection method as claimed in claim 1, it is characterised in that described to handle image to identify each region
Light source the step of include：
The region is divided into more sub-regions；
According to the histogram of each subregion, judge whether the subregion is the target subregion for including the light source；
When the subregion is the target subregion for including the light source, adjacent multiple target are judged whether
Region；
It is the light by adjacent multiple target sub-region stitchings there are during adjacent multiple target subregions
Source；With
There is no during adjacent multiple target subregions, the target subregion is determined as the light source.
3. colour temperature detection method as claimed in claim 1, it is characterised in that described that each area is calculated according to the light source
The step of colour temperature assessed value and weights in domain, includes：
Whether the number for judging the light source in the region is 0；With
The weights that the region is determined when the number of the light source in the region is 0 are 0.
4. colour temperature detection method as claimed in claim 3, it is characterised in that described that each area is calculated according to the light source
The step of colour temperature assessed value and weights in domain, includes：
Judge whether the number of the light source in the region is more than 1 when the number of the light source in the region is not 0；
Determine that the colour temperature of the light source is assessed for the colour temperature in the region when the number of the light source in the region is equal to 1
Value；
When the number of the light source in the region is more than 1 according to scenario parameters of the light source in the region, corresponding
At least one of area, luminance parameter determine that the colour temperature of the main light source in each region and the definite main light source is described
The colour temperature assessed value in region, wherein, the light source includes the main light source, the scenario parameters include shooting described image when
Between and GPS signal strength, the luminance parameter includes the corresponding brightness of the multiple light source；With
The weights in the region are determined according at least one of the scenario parameters of the light source, corresponding area, luminance parameter.
5. colour temperature detection method as claimed in claim 4, it is characterised in that the scenario parameters according to the light source, right
At least one of the area answered, luminance parameter determine that the step of weights in the region includes：
When the number of light sources in the region is 1 according in the scenario parameters, corresponding area, luminance parameter of the light source
It is at least one determine the region weights；With
Joined when the number of light sources in the region is more than 1 according to the scenario parameters, corresponding area, brightness of the main light source
At least one of number determines the weights in the region.
6. colour temperature detection method as claimed in claim 1, it is characterised in that described that each area is calculated according to the light source
The step of colour temperature assessed value and weights in domain, further includes：
According to the Luminance Distribution of the center of the light source or the main light source radially, highlight regions and middle clear zone are determined
Domain；
By the primary color channels pixel average of the highlight regions subtract the primary color channels pixel average of the middle bright area with
Determine the color of the light source or the main light source；With
The colour temperature assessed value and basis of the light source or the main light source are determined according to the color of the light source or the main light source
The colour temperature assessed value of the light source or the main light source determines the colour temperature assessed value in the region.
7. a kind of colour temperature detection device, it is characterised in that the colour temperature detection device includes：
Division module, the division module are used to divide the image into multiple regions；
Processing module, the processing module are used to handle described image to identify the light source in each region；
First computing module, the computing module are used for the colour temperature assessed value and power that each region is calculated according to the light source
Value；With
Second computing module, second computing module are used for according to the colour temperature assessed value and the weight computing described image
Equivalent colour temperature assessed value.
8. colour temperature detection device as claimed in claim 7, it is characterised in that the processing module includes：
Division unit, the division unit are used to the region being divided into more sub-regions；
First judging unit, first judging unit are used for the histogram according to each subregion, judge the sub-district
Whether domain is the target subregion for including the light source；
Second judging unit, second judging unit is for being the target subregion for including the light source in the subregion
When, judge whether adjacent multiple target subregions；
Concatenation unit, the concatenation unit is used for there are during adjacent multiple target subregions, by adjacent multiple institutes
It is the light source to state target sub-region stitching；With
First determination unit, first determination unit is used for there is no during adjacent multiple target subregions, by institute
State target subregion and be determined as the light source.
9. colour temperature detection device as claimed in claim 7, it is characterised in that first computing module includes：
First judging unit, first judging unit are used to judge whether the number of the light source in the region to be 0；With
Second determination unit, second determination unit are used to determine when the number of the light source in the region is 0 described
The weights in region are 0.
10. colour temperature detection device as claimed in claim 9, it is characterised in that first computing module includes：
Second judging unit, second judging unit be used for the region the light source number not for 0 when judge institute
Whether the number for stating the light source in region is more than 1；
3rd determination unit, the 3rd determination unit are used to determine institute when the number of the light source in the region is equal to 1
The colour temperature for stating light source is the colour temperature assessed value in the region；
4th determination unit, the 4th determination unit are used for when the number of the light source in the region is more than 1 according to institute
State at least one of scenario parameters, corresponding area, luminance parameter of the light source in region and determine each region
The colour temperature of main light source and the definite main light source is the colour temperature assessed value in the region, wherein, the light source includes the key light
Source, the scenario parameters include the time of shooting described image and the signal strength of GPS, and the luminance parameter includes the multiple
The corresponding brightness of light source；With
5th determination unit, the 5th determination unit are used to be joined according to the scenario parameters, corresponding area, brightness of the light source
At least one of number determines the weights in the region.
11. colour temperature detection device as claimed in claim 10, it is characterised in that the 5th determination unit further includes：
First determination subelement, first determination subelement be used for the region the number of light sources for 1 when according to institute
State the weights that at least one of scenario parameters, corresponding area, luminance parameter of light source determine the region；With
Second determination subelement, second determination subelement be used for the region the number of light sources be more than 1 when according to
At least one of the scenario parameters of the main light source, corresponding area, luminance parameter determine the weights in the region.
12. colour temperature detection device as claimed in claim 7, it is characterised in that first computing module further includes：
6th determination unit, the 6th determination unit are used for according to the center of the light source or the main light source radially
Luminance Distribution, determine highlight regions and middle bright area；
7th determination unit, the 7th determination unit are used to the primary color channels pixel average of the highlight regions subtracting institute
The primary color channels pixel average of middle bright area is stated with the color of the definite light source or the main light source；With
8th determination unit, the 8th determination unit are used to determine the light according to the color of the light source or the main light source
The colour temperature assessed value of source or the main light source simultaneously determines the region according to the colour temperature assessed value of the light source or the main light source
Colour temperature assessed value.
13. one or more includes the non-volatile computer readable storage medium storing program for executing of computer executable instructions, when the calculating
When machine executable instruction is executed by one or more processors so that the processor is performed such as any one of claim 1 to 6
The colour temperature detection method.
14. a kind of computer equipment, including memory and processor, computer-readable instruction is stored in the memory, institute
Instruction is stated when being performed by the processor so that the colour temperature that the processor performs as any one of claim 1 to 6 is examined
Survey method.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108965835A (en) * | 2018-08-23 | 2018-12-07 | Oppo广东移动通信有限公司 | A kind of image processing method, image processing apparatus and terminal device |
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| WO2020118977A1 (en) * | 2018-12-15 | 2020-06-18 | 深圳市华星光电半导体显示技术有限公司 | Image color temperature correction method and device |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1677216A (en) * | 2004-03-29 | 2005-10-05 | 天瀚科技股份有限公司 | Method for judging main light source in multiple light source environment |
| CN105187810A (en) * | 2014-11-11 | 2015-12-23 | 怀效宁 | Automatic white balance method based on face color features and electronic media device |
| CN106534835A (en) * | 2016-11-30 | 2017-03-22 | 珠海市魅族科技有限公司 | Image processing method and device |
| CN106851121A (en) * | 2017-01-05 | 2017-06-13 | 广东欧珀移动通信有限公司 | Control method and control device |
| CN107483908A (en) * | 2017-09-27 | 2017-12-15 | 歌尔科技有限公司 | White balance calibration method and electronic equipment |
-
2017
- 2017-12-25 CN CN201711420274.6A patent/CN107959851B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1677216A (en) * | 2004-03-29 | 2005-10-05 | 天瀚科技股份有限公司 | Method for judging main light source in multiple light source environment |
| CN105187810A (en) * | 2014-11-11 | 2015-12-23 | 怀效宁 | Automatic white balance method based on face color features and electronic media device |
| CN106534835A (en) * | 2016-11-30 | 2017-03-22 | 珠海市魅族科技有限公司 | Image processing method and device |
| CN106851121A (en) * | 2017-01-05 | 2017-06-13 | 广东欧珀移动通信有限公司 | Control method and control device |
| CN107483908A (en) * | 2017-09-27 | 2017-12-15 | 歌尔科技有限公司 | White balance calibration method and electronic equipment |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112313946A (en) * | 2018-06-27 | 2021-02-02 | 华为技术有限公司 | Light source estimation method, image processing method and related product |
| CN108965835B (en) * | 2018-08-23 | 2019-12-27 | Oppo广东移动通信有限公司 | Image processing method, image processing device and terminal equipment |
| CN108965835A (en) * | 2018-08-23 | 2018-12-07 | Oppo广东移动通信有限公司 | A kind of image processing method, image processing apparatus and terminal device |
| CN109327691A (en) * | 2018-10-23 | 2019-02-12 | Oppo广东移动通信有限公司 | Image capturing method, device, storage medium and mobile terminal |
| CN109327691B (en) * | 2018-10-23 | 2021-05-04 | Oppo广东移动通信有限公司 | Image shooting method and device, storage medium and mobile terminal |
| WO2020118977A1 (en) * | 2018-12-15 | 2020-06-18 | 深圳市华星光电半导体显示技术有限公司 | Image color temperature correction method and device |
| US11451719B2 (en) * | 2020-02-28 | 2022-09-20 | Canon Kabushiki Kaisha | Image processing apparatus, image capture apparatus, and image processing method |
| US20210274102A1 (en) * | 2020-02-28 | 2021-09-02 | Canon Kabushiki Kaisha | Image processing apparatus, image capture apparatus, and image processing method |
| CN113452980B (en) * | 2020-03-24 | 2023-03-14 | Oppo广东移动通信有限公司 | Image processing method, terminal and storage medium |
| CN113452980A (en) * | 2020-03-24 | 2021-09-28 | Oppo广东移动通信有限公司 | Image processing method, terminal and storage medium |
| CN111551266A (en) * | 2020-05-25 | 2020-08-18 | 吉林求是光谱数据科技有限公司 | Environmental color temperature testing method and system based on multispectral image detection technology |
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| CN112995635B (en) * | 2021-04-21 | 2021-07-20 | 贝壳找房(北京)科技有限公司 | Image white balance processing method and device, electronic equipment and storage medium |
| CN113610936A (en) * | 2021-09-16 | 2021-11-05 | 北京世纪好未来教育科技有限公司 | Color temperature determination method, device, equipment and medium |
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