CN108063934A - Image processing method and device, computer readable storage medium and computer equipment - Google Patents
Image processing method and device, computer readable storage medium and computer equipment Download PDFInfo
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- CN108063934A CN108063934A CN201711423795.7A CN201711423795A CN108063934A CN 108063934 A CN108063934 A CN 108063934A CN 201711423795 A CN201711423795 A CN 201711423795A CN 108063934 A CN108063934 A CN 108063934A
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- 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
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Abstract
A kind of image processing method of disclosure includes：Processing image is with the color of the light source of detection image to obtain the various colors degree of light source and the pure colorimetric of image；Judge whether various colors degree is greater than or equal to predetermined richness and whether pure colorimetric is less than or equal to predetermined pure colorimetric；White balance processing is carried out to image using gray world method with when various colors degree is greater than or equal to predetermined richness and pure colorimetric is less than or equal to predetermined pure colorimetric.A kind of image processing apparatus, computer readable storage medium and computer equipment is also disclosed in the application.Image processing method and device, the computer readable storage medium and computer equipment of the application is used to detect the color of light source and judges the various colors degree of light source and the pure colorimetric of scene, white balance processing is carried out using the better gray world method of white balance effect when the various colors degree of light source is higher relatively low with the pure colorimetric ratio of scene, so as to promote the effect of white balance processing.
Description
Technical field
This application involves technical field of image processing, more particularly to a kind of image processing method, image processing apparatus, calculating
Machine readable storage medium storing program for executing and computer equipment.
Background technology
The image processing method of correlation technique may be by handling the color of image detection light source and according to the color of light source
Carry out white balance processing.When there are during the different light source of multiple colors, master is selected often through the weight of analysis light source in scene
Light source simultaneously according to the color of main light source carry out white balance processing, however, the color of main light source often with the light source of entire scene
Actual color causes white balance treatment effect poor, particularly when the color of the light source of scene is relatively abundanter there are deviation.
The content of the invention
Embodiments herein provides a kind of image processing method and device, computer readable storage medium and computer
Equipment.
The image processing method of the application embodiment comprises the following steps：
Processing image obtains the various colors degree of the light source and the figure to detect the color of the light source of described image
The pure colorimetric of picture；
Judge whether the various colors degree is greater than or equal to predetermined richness and whether the pure colorimetric is less than or equal to
Predetermined pure colorimetric；With
It is greater than or equal to the predetermined richness and the pure colorimetric less than or equal to described pre- in the various colors degree
White balance processing is carried out to described image using gray world method when determining pure colorimetric.
The image processing apparatus of the application embodiment includes：
First processing module, the first processing module for handle image with detect the color of the light source of described image with
Obtain the various colors degree of the light source and the pure colorimetric of described image；
Judgment module, the judgment module for judge the various colors degree whether be greater than or equal to predetermined richness and
Whether the pure colorimetric is less than or equal to predetermined pure colorimetric；With
Second processing module, the Second processing module are used to be greater than or equal in the various colors degree described predetermined rich
White balance is carried out to described image using gray world method when Fu Du and the pure colorimetric are less than or equal to the predetermined pure colorimetric
Processing.
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
Image processing method.
A kind of computer equipment of the application embodiment including memory and processor, stores in the memory
Computer-readable instruction, when described instruction is performed by the processor so that the processor performs described image processing method.
The image processing method and device of the application embodiment, computer readable storage medium and computer equipment detection
The color of light source, however, different compared to directly white balance processing is carried out with the color of light source in correlation technique, the application is into one
Step considers the various colors degree of light source and the pure colorimetric of scene, and in the higher pure colorimetric with scene of various colors degree of light source
Than it is relatively low when carry out using compared to directly carrying out the better gray world method of white balance treatment effect with the colour temperature of light source
White balance processing, so as to promote the effect of white balance processing.
The additional aspect and advantage of the application will be set forth in part in the description, and will partly become from the following description
It obtains substantially or is recognized by the practice of the application.
Description of the drawings
It 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, the accompanying drawings in the following description is 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 image processing method of the application certain embodiments.
Fig. 2 is the module diagram of the image processing apparatus 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 image processing method of the application certain embodiments.
Fig. 5 is the module diagram of the first processing module of the application certain embodiments.
Fig. 6 is the schematic diagram of a scenario of the image processing method of the application certain embodiments.
Fig. 7 is the schematic diagram of a scenario of the image processing method of the application certain embodiments.
Fig. 8 is the histogram that the region of the image processing method of the application certain embodiments is formed.
Fig. 9 is the flow diagram of the image processing method of the application certain embodiments.
Figure 10 is the module diagram of the first processing module of the application certain embodiments.
Figure 11 is the schematic diagram of a scenario of the image processing method of the application certain embodiments.
Figure 12 is the colour temperature curve synoptic diagram of the application certain embodiments.
Figure 13 is the flow diagram of the image processing method of the application certain embodiments.
Figure 14 is the module diagram of the first processing module of the application certain embodiments.
Figure 15 is the schematic diagram of a scenario of the image processing method of the application certain embodiments.
Figure 16 is the flow diagram of the image processing method of the application certain embodiments.
Figure 17 is the module diagram of the first processing module of the application certain embodiments.
Figure 18 is the histogram that the image of the image processing method of the application certain embodiments is formed.
Figure 19 is the flow diagram of the image processing method of the application certain embodiments.
Figure 20 is the module diagram of the image processing apparatus of the application certain embodiments.
Figure 21 is the flow diagram of the image processing method of the application certain embodiments.
Figure 22 is the module diagram of the 3rd processing module of the application certain embodiments.
Figure 23 is the schematic diagram of a scenario of the image processing method of the application certain embodiments.
Figure 24 is the schematic diagram of a scenario of the image processing method of the application certain embodiments.
Figure 25 is the module diagram of the computer equipment of the application certain embodiments.
Figure 26 is the module diagram of the image processing circuit of the application certain embodiments.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the object, technical solution and advantage for making the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used 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 image processing method of the application embodiment comprises the following steps：
S12：Processing image is with the color of the light source of detection image to obtain the various colors degree of light source and the pure color of image
Degree；
S14：Judge whether various colors degree be greater than or equal to predetermined richness and pure colorimetric less than or equal to predetermined
Pure colorimetric；With
S16：Make when various colors degree is greater than or equal to predetermined richness and pure colorimetric is less than or equal to predetermined pure colorimetric
White balance processing is carried out to image with gray world method.
Referring to Fig. 2, the image processing apparatus 10 of the application embodiment includes first processing module 12, judgment module
14th, Second processing module 16.First processing module 12 is for handling image with the color of the light source of detection image to obtain light source
Various colors degree and image pure colorimetric.Judgment module 14 makes a reservation for enrich for judging whether various colors degree is greater than or equal to
Whether degree and pure colorimetric are less than or equal to predetermined pure colorimetric.Second processing module 16 is used to be greater than or equal in various colors degree pre-
Image procossing is carried out to image using gray world method when determining richness and pure colorimetric less than or equal to predetermined pure colorimetric.
The image processing method of the application embodiment can realize by the image processing apparatus 10 of the application embodiment,
Wherein, step S12 can be realized by first processing module 12, and step S14 can be realized by judgment module 14, and step S16 can be with
It is realized by Second processing module 16.
Referring to Fig. 3, the image processing apparatus 10 of the application embodiment can be applied to the meter of the application embodiment
It calculates in machine equipment 100, in other words, the computer equipment 100 of the application embodiment can include the application embodiment
Image processing apparatus 10.
In some embodiments, computer equipment 100 include mobile phone, tablet computer, laptop, Intelligent bracelet,
Smartwatch, intelligent helmet, intelligent glasses etc..
Image processing method, image processing apparatus 10 and the computer equipment 100 of the application embodiment detect light source
Color, however, white balance processing is different, and the application further considers compared to directly being carried out in correlation technique with the color of light source
The various colors degree of light source and the pure colorimetric of scene, and it is higher relatively low with the pure colorimetric ratio of scene in the various colors degree of light source
When using compared to directly carrying out the better gray world method of white balance treatment effect with the colour temperature of light source carry out white balance
Processing, so as to promote the effect of white balance processing.
In some embodiments, the step of being handled with gray world method image comprises the following steps：
The primary color channels value of statistical picture all pixels；
Calculate the average value of (R, G, B) three primary color channels values；
The blank level adjustment value of R, G and channel B is determined according to average value.With
Blank level adjustment is carried out to image according to blank level adjustment value.
Specifically, the primary color channels pixel average that image is obtained by calculating the primary color channels Value Data of image is
(Ravg, Gavg, Bavg), it is then K/R according to the blank level adjustment value of each passage of mean value calculationavg, K/GavgAnd K/Bavg,
In, K=(Ravg, Gavg, Bavg)/3.In this way, can according to the blank level adjustment value of the primary color channels value can to whole image into
The processing of row white balance.
In this way, it can quickly carry out white balance and be put down in vain in the case where light source colour is abundanter and scene pure colorimetric is lower
The effect that weighs is better.
Referring to Fig. 4, in some embodiments, step S12 comprises the following steps：
S122：Divide the image into multiple regions；
S124：Judge whether region is the target area that includes light source according to the histogram in each region；
S126：Adjacent multiple target areas are judged whether when region is the target area for including light source；
S128：There are adjacent multiple target areas are spliced into light source during adjacent multiple target areas；
S121：There is no target area is determined as light source during adjacent multiple target areas；With
S123：Count the number of light source.
Referring to Fig. 5, in some embodiments, first processing module 12 includes division unit 122, the first judging unit
124th, second judgment unit 126, concatenation unit 128, the first determination unit 121 and statistic unit 123.Division unit 122 is used for
Divide the image into multiple regions.First judging unit 124 is used to judge whether region is to include according to the histogram in each region
The target area of light source.Second judgment unit 126 is used to judge whether adjacent multiple target areas.Concatenation unit 128
For there are adjacent multiple target areas are spliced into light source during adjacent multiple target areas.First determination unit 121
For there is no target area is determined as light source during adjacent multiple target areas.Statistic unit 123 is used to count light source
Number.
In other words, step S122 can be realized by division unit 122, and step S124 can be by the first judging unit 124
It realizes, step S126 can be realized that step S128 can be realized by concatenation unit 128, step S121 by second judgment unit 126
It can be realized by the first determination unit 121, step S123 can be realized by statistic unit 123.
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, image processing method first divides the image into multiple regions, example
Such as, 4*5 region.Each region can draw 4 histograms by the channel value of R, Gr, Gb, B, then according to the 4 of each region
It opens histogram and judges whether the region is the target area for including light source.In figure 6 and figure 7, image includes multiple target areas
Domain.For example, image in Fig. 6 includes 3 target areas, the image in Fig. 7 includes 8 target areas.Image processing method exists
When domain of the existence is the target area for including light source, judges whether adjacent multiple target areas, that is, judge whether
One light source covers the situation of multiple target areas simultaneously, wherein, covering can be that part covers or is completely covered.At image
Adjacent multiple target areas are spliced into light source by reason method there are during adjacent multiple target areas；There is no adjacent
Multiple target areas when, each target area is determined as light source.Referring to Fig. 6,3 mutual non-conterminous target areas point
It is not determined as light source R, light source G, light source B.Referring to Fig. 7, wherein 6 adjacent target areas are spliced into a complete light source
R, other two non-conterminous target area are 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 in region is merely illustrative, the Nogata in Fig. 8
The transverse axis of figure is pixel value, and the longitudinal axis is number of pixels.In other embodiments, the transverse axis of histogram can also be number of pixels,
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 is picture
Element value, the longitudinal axis of histogram is number of pixels accounting.
In some embodiments, judge whether the region is the mesh that includes light source in the histogram according to some region
It, can be by judging whether pixel value is realized more than predetermined accounting more than the number of pixels accounting of predetermined value when marking region.Example
It such as, can be by judging whether number of pixels accounting of the pixel value more than 239 is realized more than 5%, when pixel value is more than 239
When number of pixels accounting is more than 5%, it is the target area for including light source to show the region；When the pixel value pixel more than 239
When number accounting is no more than 5%, it is not the target area for including light source to show the region.
Referring to Fig. 9, in some embodiments, step S12 comprises the following steps：
S125：Highlight regions and middle bright area are determined according to the Luminance Distribution of the center of light source radially；With
S127：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.
Referring to Fig. 10, in some embodiments, it is true that first processing module 12 includes the second determination unit 125 and the 3rd
Order member 127.Second determination unit 125 be used for according to the Luminance Distribution of the center of light source radially determine highlight regions and
Middle bright area.3rd determination unit 127 is used to subtract the primary color channels pixel average of highlight regions the primary colours of middle bright area
Passage pixel average is with the color of definite light source.
In other words, step S125 can be realized that step S127 can be by the 3rd determination unit by the second determination unit 125
127 realize.
In this way, can main light source color be determined by highlight regions H and middle bright area M and determine to lead according to main light source color
Light source color temperature can more accurately estimate the colour temperature of main light source.
1 is please referred to Fig.1, 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 be bright in by highlight regions H
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, can reduce the first brightness
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 for 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.To determine the color of light source, according to the color of light source can to should determine that the colour temperature of light 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 the colour temperature of the color of light source, the color of light source and light source
Correspondence determine light source color temperature.Wherein, the correspondence of the colour temperature of the color and light source of light source can be mapping table and/or
Colour temperature curve (as shown in figure 12).Specifically, in one embodiment, can colour temperature be respectively 3000K, 4000K, 5000K,
6000K ... light box under, obtain image simultaneously be obtained by calculation corresponding under above-mentioned different-colour's
Value, it is possible thereby to be formedMapping table or colour temperature graph between the colour temperature of light source, and can be by the colour temperature curve
Figure or mapping table are stored in local data base.In the application embodiment, it is being calculatedAfterwards, the color can be passed through
Warm graph or mapping table, inquiry obtain the colour temperature of corresponding light source.Then, according to the colour temperature of light source and the colour temperature of light source
Can be searched with the correspondence of white balance parameter and obtain corresponding white balance parameter, so as to according to white balance parameter to figure
As carrying out white balance processing.
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).
3 are please referred to Fig.1, in some embodiments, step S12 is further comprising the steps of：
S129：The colour temperature of light source is determined according to the color of light source；
S12b：Compare different light sources to obtain the colour temperature difference between different light sources and be less than predetermined colour temperature in colour temperature difference
Merge different light sources during difference for same light source；With
S12d：Various colors degree is determined according to the number of the light source after merging.
4 are please referred to Fig.1, in some embodiments, first processing module 12 further includes the 4th determination unit 129, first
Comparing unit 12b and the 5th determination unit 12d.4th determination unit 129 is used to determine the colour temperature of light source according to the color of light source.
First comparing unit 12b is used for more different light sources to obtain the colour temperature difference between different light sources and be less than in colour temperature difference pre-
Merge different light sources during fixation temperature difference for same light source.5th determination unit 12d is used for the number according to the light source after merging
Determine various colors degree.
In other words, step S129 is realized by the 4th determination unit 129, and step S12b is realized by the first comparing unit 12b,
Step S12d is realized by the 5th determination unit 12d.
In this way, according to the colour temperature difference between different light sources judge different light sources whether be same color temperature light source, in color
When temperature difference is less than predetermined color temperature difference, merges different light sources for same light source, light source is determined by the number of light sources after merging
Various colors degree, accuracy is high.
Specifically, as shown in figure 15, there are 5 light sources in image, the colour temperature of light source A is 3000K, the colour temperature of light source B is
3500K, the colour temperature of light source C are 3800K, the colour temperature of light source D is 4100K and the colour temperature of light source E is 5000K.For example, predetermined colour temperature
Difference is 500, is drawn by calculating the difference between different light sources, and the colour temperature difference of light source B and light source C are less than for 300 to be made a reservation for
Light source B and light source C when calculating number of light sources, are regarded as a light source by colour temperature difference 500 in logic, and this light source includes
The light source of two different-colours, the light source after merging should meet when being compared all light sources that the light source includes with by compared with
The difference of light source is less than 500, such as after light source B and light source C are merged into a light source, when compared with light source D, and light source C and light source D
Difference for 300, but the difference of light source B and light source D are 600, just one light source meets condition, therefore can not merge.
In this way, final number of light sources is calculated as 4.Certainly, predetermined color temperature difference can be other suitable numerical value.So according to of light source
Number weighs various colors degree, i.e. number of light sources is more, and it is more to represent the number of the light source of different-colour scope, expression various colors
Degree is higher.Predetermined richness can be set to 3, i.e., the light source colour of the image is represented when number of light sources (various colors degree) is more than 3
Richness meets the condition using gray world method, in this way, using ash after the pure colorimetric for judging image is less than predetermined pure colorimetric
It spends world's method and carries out white balance processing.
6 are please referred to Fig.1, in some embodiments, step S12 is further comprising the steps of：
S12f：Compare fall into predetermined pixel value scope pixel account for the ratio of the total pixel of image with determine maximum pixel ratio
Example；With
S12h：According to maximum pixel ratio-dependent pure colorimetric.
7 are please referred to Fig.1, in some embodiments, first processing module 12 further includes the second comparing unit 12f and the 6th
Determination unit 12h.Second comparing unit 12f is used to compare the ratio that the pixel for falling into predetermined pixel value scope accounts for the total pixel of image
To determine maximum pixel ratio.6th determination unit 12h is used for according to maximum pixel ratio-dependent pure colorimetric.
In other words, step S12f realizes that step S12h is realized by the 6th determination unit 12h by the second comparing unit 12f.
In this way, compare by comparing fall into predetermined pixel value scope pixel account for the ratio of the total pixel of image with determine maximum
Pixel ratio, then according to maximum pixel ratio-dependent pure colorimetric.It can accurately estimate the pure colorimetric of image.
Specifically, as shown in figure 18, the pixel value of all pixels in first statistical picture, it is then determined that multiple pixel coverages,
Such as pixel value every 10 for pixel value range as (0,10], (and 10,20] etc., using pixel value as the transverse axis of histogram,
And the pixel in each pixel value range is considered same color.Then statistics falls into of the pixel in each pixel value range
Number accounts for the ratio of the total pixel of image using the longitudinal axis as histogram, and the ratio of the pixel in some pixel value range is maximum and is
When 40%, it is believed that the pure colorimetric of the image is 40%, and it is, for example, 90% to set predetermined pure colorimetric, then the image is expired at this time
The restrictive condition of the pure colorimetric of sufficient gray world method.When light source colour richness meets condition, using gray world method to figure
As carrying out white balance processing.
9 are please referred to Fig.1, in some embodiments, image processing method is further comprising the steps of：
S18：When various colors degree is less than predetermined richness or pure colorimetric is more than predetermined pure colorimetric according to the colour temperature of light source
White balance processing is carried out to image.
Figure 20 is referred to, in some embodiments, image processing apparatus further includes the 3rd processing module 18.3rd processing
Module 18 is used for when various colors degree is less than predetermined richness or pure colorimetric is more than predetermined pure colorimetric according to the colour temperature pair of light source
Image carries out white balance processing.
In other words, step S18 is realized by the 3rd processing module 18.
In this way, gray scale generation is not being used when various colors degree is less than predetermined richness or pure colorimetric is more than predetermined pure colorimetric
Boundary's method ensure that the stability of white balance.
Figure 21 is referred to, in some embodiments, step S18 comprises the following steps：
S182：Judge whether the number of light source is greater than or equal to 1；
S184：When the number of light source is equal to 1, white balance processing is carried out to image according to the colour temperature of light source；With
S186：Light source number be more than 1 when, according in the scenario parameters of light source, corresponding area, luminance parameter extremely
A kind of few definite main light source simultaneously carries out white balance processing according to the colour temperature of main light source to image, wherein, scenario parameters include shooting
The time of image and the signal strength of GPS, luminance parameter include the brightness of multiple light sources, and light source includes main light source.
Figure 22 is referred to, in some embodiments, the 3rd processing module 18 is included at the 3rd judging unit 182, first
Manage unit 184 and second processing unit 186.3rd judging unit 182 is used to judge whether the number of light source to be greater than or equal to 1.
First processing units 184 carry out white balance processing when the number of light source is equal to 1, according to the colour temperature of light source to image.At second
Manage unit 186 be used for light source number be more than 1 when, according in the scenario parameters of light source, corresponding area, luminance parameter extremely
A kind of few definite main light source simultaneously carries out white balance processing according to the colour temperature of main light source to image, wherein, scenario parameters include shooting
The time of image and the signal strength of GPS, luminance parameter include the brightness of multiple light sources, and light source includes main light source.
In this way, when the light source richness in image is low and the pure colorimetric of image is high, judge whether number of light sources is more than 1,
During no more than 1, light source is determined as main light source, when number of light sources is more than 1, according to scenario parameters of light source, corresponding area, bright
It spends at least one of parameter to determine main light source and carry out white balance processing to image according to the colour temperature of main light source, in this way, being directed to
Different situations use different image processing methods, improve the stability of white balance processing.
Specifically, it can distinguish which period is current time be located at according to the time of captured 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 place carries out in current slot
Shooting activity.For example, at noon 12 o'clock when, the user generally has lunch in dining room；At night after 8 points, Yong Huyi
As parlor read a book.In this way, can substantially distinguish user according to the time of captured image is in indoor environment or outdoor ring
Border or some special scenes.Further, since signal strength of the signal strength of outdoor GPS generally than indoor GPS is stronger.
Therefore, user can also substantially be distinguished according to the signal strength of GPS and is in indoor environment or outdoor environment.It is appreciated that room
The colour temperature of interior light source is generally below 5000K, for example, the colour temperature of tengsten lamp is 2760-2900K, the colour temperature of flash lamp is
3800K；The colour temperature of outdoor light source is generally in more than 5000K, for example, the colour temperature of noon sunlight is 5000K, the colour temperature in blue sky is
10000K.In this way, being in indoor environment or outdoor environment according to user can substantially judge that current colour temperature should be in more than 5000K
Or below 5000K, as shown in figure 23, such as light source R colour temperatures are 4500K, and the colour temperature of light source G is 3500K, the colour temperature of light source B
For 7000K, and determine that current colour temperature should be 5000K according to scenario parameters, it is clear that light source R apart from scene current color temperature closest to therefore
It is main light source to determine light source R.Thus, it is possible to for determining main light source.
It, can be big by comparing the area of multiple light sources when determining main light source according to the corresponding area of multiple light sources
It is small, the light source of area maximum is chosen as main light source.For example, in fig 23, the area of light source R is more than the area of light source G, and big
In the area of light source B, it is determined that light source R is as main light source.
When determining main light source according to the corresponding brightness of multiple light sources, it will be understood that the brightness of light source is higher, whole to image
The influence of body is generally bigger.As shown in figure 24, when light source area is identical, light source G brightness is 150, and light source G brightness is 100, light
Source B brightness values are 200, it is determined that light source B is main light source.In this way, when light source area is identical, the light source of brightness maximum is determined as
Main light source.
The image processing method of the application embodiment can be according to the time of the captured image of multiple light sources and the letter of GPS
The combination of number intensity determines main light source or determines main light source according to the corresponding area of multiple light sources；Or according to multiple light sources
Corresponding brightness and the combination of average brightness of image determine main light source；Or the time of the captured image according to multiple light sources
The corresponding area of combination and multiple light sources with the signal strength of GPS determines main light source；Or the shooting figure according to multiple light sources
The combination of the time of picture and the signal strength of GPS and the combination of the average brightness of the corresponding brightness of multiple light sources and image are true
Determine main light source；Or according to the average brightness of the corresponding brightness and image of the corresponding area of multiple light sources and multiple light sources
Combination determines main light source；Or according to the combining of the signal strength of time and GPS of the captured images of multiple light sources, corresponding face
The combination of product and the average brightness of corresponding brightness and image determines main light source.
It is preferred that image processing method according to the combination of the signal strength of the time and GPS of the captured image of multiple light sources,
The combination of corresponding area and the average brightness of corresponding brightness and image determines main light source.The captured image of multiple light sources
The combining of the signal strength of time and GPS, the combination of corresponding area and the average brightness of corresponding brightness and image can divide
Different weights is not set.In this way, the main light source chosen is more accurate, it can more meet user when carrying out white balance processing to image
Expected white balance effect.
The embodiment of the present application additionally provides a kind of computer readable storage 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：Processing image is with the color of the light source of detection image to obtain the various colors degree of light source and the pure color of image
Degree；
S14：Judge whether various colors degree be greater than or equal to predetermined richness and pure colorimetric less than or equal to predetermined
Pure colorimetric；With
S16：Make when various colors degree is greater than or equal to predetermined richness and pure colorimetric is less than or equal to predetermined pure colorimetric
White balance processing is carried out to image with gray world method.
Figure 25 is the internal structure schematic diagram of one embodiment Computer equipment 100.As shown in figure 25, which sets
Standby 100 include the processor 52 connected 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 image processing method of the application embodiment.
The processor 52 supports the operation of entire computer equipment 100 for providing calculating and control ability.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, smartwatch, intelligent helmet, intelligent glasses) etc..It will be understood by those skilled in the art that in Figure 25
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 component.
Figure 26 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 26 is the schematic diagram of image processing circuit 80 in one embodiment.Such as Figure 26 institutes
Show, 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 26, 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 image data that camera 83 captures is handled first by ISP processors 81, ISP
Processor 81 analyzes image data to capture 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 captures
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 acquisition 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 image data.Wherein, image processing operations can by identical or different bit depth precision into
Row.
ISP processors 81 can also receive image 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 image data, ISP processors 81 can carry out one or more image processing operations, such as time-domain filtering.Treated image
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 image data in original domain and in RGB and YCbCr color spaces
Reason.Treated that image data may be output to display 87 (display 87 may include display screen 55) for ISP processors 81, for
Family is watched and/or is further processed 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 image data of coding can be protected
It deposits, and is 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 sensors 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 processing element and/or microcontroller that perform 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 for automatic white balance and color adjustment (for example, during RGB processing)
832 shadow correction parameter of gain level and color correction matrix and lens.
It is the step of realizing image processing method with image processing techniques in Figure 26 below：
S12：Processing image is with the color of the light source of detection image to obtain the various colors degree of light source and the pure color of image
Degree；
S14：Judge whether various colors degree be greater than or equal to predetermined richness and pure colorimetric less than or equal to predetermined
Pure colorimetric；With
S16：Make when various colors degree is greater than or equal to predetermined richness and pure colorimetric is less than or equal to predetermined pure colorimetric
White balance processing is carried out to image with gray world method.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed 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, and 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
It encloses.Therefore, the protection domain of the application patent should be determined by the appended claims.
Claims (16)
1. a kind of image processing method, which is characterized in that described image processing method comprises the following steps：
Processing image obtains the various colors degree of the light source and described image to detect the color of the light source of described image
Pure colorimetric；
Judge whether the various colors degree be greater than or equal to predetermined richness and the pure colorimetric less than or equal to predetermined
Pure colorimetric；With
It is predetermined pure less than or equal to described to be greater than or equal to the predetermined richness and the pure colorimetric in the various colors degree
White balance processing is carried out to described image using gray world method during colourity.
2. image processing method as described in claim 1, which is characterized in that described to handle image to detect the light of described image
The color in source the step of obtaining the pure colorimetric of the various colors degree of the light source and described image to comprise the following steps：
Described image is divided into multiple regions；
Judge whether the region is the target area that includes the light source according to the histogram in each region；
Adjacent multiple target areas are judged whether when the region is and includes the target area of the light source
Domain；
There are adjacent multiple target areas are spliced into the light source during adjacent multiple target areas；
There is no the target area is determined as the light source during adjacent multiple target areas；With
Count the number of the light source.
3. image processing method as claimed in claim 2, which is characterized in that described to handle image to detect the light of described image
The step of color in source is to obtain the pure colorimetric of the various colors degree of the light source and described image is further comprising the steps of：
Highlight regions and middle bright area are determined according to the Luminance Distribution of the center of the light source radially；With
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.
4. image processing method as claimed in claim 3, which is characterized in that described to handle image to detect the light of described image
The step of color in source is to obtain the pure colorimetric of the various colors degree of the light source and described image is further comprising the steps of：
The colour temperature of the light source is determined according to the color of the light source；
Compare the different light sources to obtain the colour temperature difference between the different light sources and be less than in the colour temperature difference predetermined
It is the same light source to merge the different light sources during colour temperature difference；With
The various colors degree is determined according to the number of the light source after merging.
5. image processing method as described in claim 1, which is characterized in that described to handle image to detect the light of described image
The step of color in source is to obtain the pure colorimetric of the various colors degree of the light source and described image is further comprising the steps of：
Compare fall into predetermined pixel value scope pixel account for the ratio of the total pixel of described image with determine maximum pixel ratio；With
According to pure colorimetric described in the maximum pixel ratio-dependent.
6. image processing method as claimed in claim 4, which is characterized in that described image processing method further includes：
When the various colors degree is less than the predetermined richness or the pure colorimetric is more than the predetermined pure colorimetric according to institute
The colour temperature for stating light source carries out white balance processing to described image.
7. image processing method as claimed in claim 6, which is characterized in that be less than in the various colors degree described predetermined rich
Colour temperature when rich degree or the pure colorimetric are more than the predetermined pure colorimetric according to the light source carries out at white balance described image
The step of reason, comprises the following steps：
Judge whether the number of the light source is greater than or equal to 1；
When the number of the light source is equal to 1, white balance processing is carried out to described image according to the colour temperature of the light source；With
The light source number be more than 1 when, according in the scenario parameters of the light source, corresponding area, luminance parameter extremely
A kind of few definite main light source simultaneously carries out white balance processing according to the colour temperature of the main light source to described image, wherein, the scene
Parameter includes the time of shooting described image and the signal strength of GPS, and the luminance parameter includes the brightness of the multiple light source,
The light source includes main light source.
8. a kind of image processing apparatus, which is characterized in that described image processing unit includes：
First processing module, the first processing module are obtained for handling image with detecting the color of the light source of described image
The various colors degree of the light source and the pure colorimetric of described image；
Judgment module, the judgment module is for judging whether the various colors degree is greater than or equal to predetermined richness and described
Whether pure colorimetric is less than or equal to predetermined pure colorimetric；With
Second processing module, the Second processing module are used to be greater than or equal to the predetermined richness in the various colors degree
White balance processing is carried out to described image using gray world method when being less than or equal to the predetermined pure colorimetric with the pure colorimetric.
9. image processing apparatus as claimed in claim 8, which is characterized in that first processing module includes：
Division unit, the division unit are used to described image being divided into multiple regions；
First judging unit, first judging unit are used to whether judge the region according to the histogram in each region
It is the target area for including the light source；
Second judgment unit, it is when including the target area of the light source that the second judgment unit, which is used in the region,
Judge whether adjacent multiple target areas；
Concatenation unit, first determination unit be used for there are during adjacent multiple target areas by adjacent multiple institutes
It states target area and is spliced into the light source；
First determination unit, second determination unit be used for there is no during adjacent multiple target areas by the mesh
Mark region is determined as the light source；With
Statistic unit, the statistic unit are used to count the number of the light source.
10. image processing apparatus as claimed in claim 9, which is characterized in that the first processing module further includes：
Second determination unit, Luminance Distribution of second determination unit for according to the center of the light source radially are true
Determine highlight regions and middle bright area；With
3rd determination unit, the 3rd 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 to determine the color of the light source.
11. image processing apparatus as claimed in claim 10, which is characterized in that the first processing module further includes：
4th determination unit, the 4th determination unit are used to determine the colour temperature of the light source according to the color of the light source；
First comparing unit, first comparing unit is for comparing the different light sources to obtain between the different light sources
Colour temperature difference and to merge the different light sources when the colour temperature difference is less than predetermined color temperature difference be the same light source；With
5th determination unit, the 5th determination unit are used to determine that the color is rich according to the number of the light source after merging
Fu Du.
12. image processing apparatus as claimed in claim 8, which is characterized in that the first processing module further includes：
Second comparing unit, second comparing unit are used to comparing the pixel for falling into predetermined pixel value scope that account for described image total
The ratio of pixel is with definite maximum pixel ratio；With
6th determination unit, the 6th determination unit are used for the pure colorimetric according to the maximum pixel ratio-dependent.
13. image processing apparatus as claimed in claim 11, which is characterized in that described image processing unit further includes：
3rd processing module, the 3rd processing module are used to be less than the predetermined richness or described in the various colors degree
Colour temperature when pure colorimetric is more than the predetermined pure colorimetric according to the light source carries out white balance processing to described image.
14. image processing apparatus as claimed in claim 13, which is characterized in that the 3rd processing module includes：
3rd judging unit, the 3rd judging unit are used to judge whether the number of the light source to be greater than or equal to 1；
First processing units, the first processing units are used for when the number of the light source is equal to 1, according to the color of the light source
Temperature carries out white balance processing to described image；With
Second processing unit, the second processing unit are used for when the number of the light source is more than 1, according to the field of the light source
At least one of scape parameter, corresponding area, luminance parameter determine main light source and according to the colour temperature of the main light source to described
Image carries out white balance processing, wherein, the scenario parameters include the time of shooting described image and the signal strength of GPS, institute
Stating luminance parameter includes the brightness of the multiple light source, and the light source includes main light source.
15. 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 7
The image processing method.
16. a kind of computer equipment including memory and processor, stores computer-readable instruction, institute in the memory
Instruction is stated when being performed by the processor so that the processor execution is at the image as any one of claim 1 to 7
Reason method.
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