CN106303154A - A kind of information processing method and electronic equipment - Google Patents
A kind of information processing method and electronic equipment Download PDFInfo
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- CN106303154A CN106303154A CN201510325291.6A CN201510325291A CN106303154A CN 106303154 A CN106303154 A CN 106303154A CN 201510325291 A CN201510325291 A CN 201510325291A CN 106303154 A CN106303154 A CN 106303154A
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Abstract
The embodiment of the invention discloses a kind of information processing method and electronic equipment, wherein, described method includes: when getting the first image, extracts the pixel meeting the first pre-defined rule in the first image, obtains the first pixel；Determining the first data that the first pixel is corresponding, the first data characterization is the first attribute of pixel；Determine the First Eigenvalue of the first data；According to the First Eigenvalue, the first data are carried out the first adjustment.Simple and effective can realize the image-signal processor ISP adjustment to aspects such as image lightness, saturation, tones.
Description
Technical field
The present invention relates to the information processing technology, be specifically related to a kind of information processing method and electronic equipment.
Background technology
For reaching the more preferable display effect of image, in image processing field, it will usually by the appointment in image
Part carries out the adjustment of the aspects such as lightness, saturation, tone.Such as, by the face in a figure painting
The enhancing carrying out tone is divided i.e. to allow face become more ruddy；Meadow in one width landscape painting is carried out saturation
Strengthening i.e. allows the color on meadow become greener.At present, conventional method of adjustment is based primarily upon mahalanobis distance method,
I.e. by the distance between colour difference signal and the sample for reference of this parts of images pixel to this parts of images pixel
The colour difference signal of point is adjusted, to reach to adjust purpose.Wherein, mahalanobis distance formula is more complicated, to figure
The computing of image signal processor ISP (Image Signal Processor) requires higher.The most simple and effective
Realize being adjusted to aspects such as image lightness, saturation, tones for technical problem urgently to be resolved hurrily.
Summary of the invention
For solving the technical problem of existing existence, the embodiment of the present invention be to provide a kind of information processing method and
Electronic equipment, it is possible to simple and effective realize the ISP tune to aspects such as image lightness, saturation, tones
Whole.
The technical scheme of the embodiment of the present invention is achieved in that
Embodiments provide a kind of information processing method, be applied in an electronic equipment, when getting
During the first image, described method includes:
Extract the pixel meeting the first pre-defined rule in the first image, obtain the first pixel；
Determining the first data that the first pixel is corresponding, the first data characterization is the first attribute of pixel；
Determine the First Eigenvalue of the first data；
According to the First Eigenvalue, the first data are carried out the first adjustment.
In such scheme, described extraction the first image meets the pixel of the first pre-defined rule, obtains first
Pixel, including:
Determine the first data that in the first image, each pixel is corresponding；
Extract the first data and be positioned at the pixel of the first preset range；
Determining that the first data extracted are positioned at the pixel of the first preset range is described first pixel.
In such scheme, described first data are represented by the first predetermined figure,
Accordingly, the described the First Eigenvalue determining the first data, including:
Being changed the first data, obtain the 3rd data, the 3rd data are represented by the second predetermined figure,
First predetermined figure and the second predetermined figure are different；
In the first predetermined relationship, determine the first information corresponding with described 3rd data；
In the second predetermined relationship, determine second information corresponding with the first information；
Determine that described second information representation is described the First Eigenvalue.
In such scheme, described foundation the First Eigenvalue, the first data are carried out the first adjustment, including:
Described first data at least include the first subdata and the second subdata；
Described the First Eigenvalue at least includes the first subsystem number, the second subsystem number, the 3rd subsystem number and the 4th son
Coefficient；
First subdata is carried out the first computing with the first subsystem number, the 3rd subsystem number respectively, obtains the first son
Result, the 3rd sub-result；
Second subdata is carried out the first computing with the second subsystem number, the 4th subsystem number respectively, obtains the second son
Result, the 4th sub-result；
Determine that the first sub-result and the second sub-result sum are the adjustment result to the first subdata；
Determine that the 3rd sub-result and the 4th sub-result sum are the adjustment result to the second subdata.
In such scheme, described method also includes:
Determining the second data that the first pixel is corresponding, the second data characterization is the second attribute of pixel；Really
The First Eigenvalue of fixed second data；According to the First Eigenvalue, the second data are carried out the second adjustment；Or,
In the first pixel, extract the pixel of satisfied second pre-defined rule, obtain the second pixel；Obtain
Taking the second data that the second pixel is corresponding, the second data characterization is the second attribute of pixel；Determine second
The First Eigenvalue of data；According to the First Eigenvalue, the second data are carried out the second adjustment；
Wherein, described first attribute is the color of pixel；Described second attribute is the brightness of pixel.
In such scheme, the described pixel extracting satisfied second pre-defined rule in the first pixel,
To the second pixel, including:
Extract the second data and be positioned at the first pixel of the second preset range；
Determining that the second extracted data are positioned at the first pixel of the second preset range is the second pixel.
The embodiment of the present invention additionally provides a kind of electronic equipment, and described electronic equipment includes:
First extraction unit, for when getting the first image, extracts and meets first in the first image and make a reservation for
The pixel of rule, obtains the first pixel；
First determines unit, and for determining the first data that the first pixel is corresponding, the first data characterization is picture
First attribute of vegetarian refreshments；
Second determines unit, for determining the First Eigenvalue of the first data；
First adjustment unit, for according to the First Eigenvalue, carrying out the first adjustment to the first data.
In such scheme, described first extraction unit, it is used for: determine that in the first image, each pixel is corresponding
The first data；
Extract the first data and be positioned at the pixel of the first preset range；
Determining that the first data extracted are positioned at the pixel of the first preset range is described first pixel.
In such scheme, described second determines unit, is used for: described first data are come by the first predetermined figure
Represent,
Being changed the first data, obtain the 3rd data, the 3rd data are represented by the second predetermined figure,
First predetermined figure and the second predetermined figure are different；
In the first predetermined relationship, determine the first information corresponding with described 3rd data；
In the second predetermined relationship, determine second information corresponding with the first information；
Determine that described second information representation is described the First Eigenvalue.
In such scheme, described first adjustment unit, it is additionally operable to:
Described first data at least include the first subdata and the second subdata；
Described the First Eigenvalue at least includes the first subsystem number, the second subsystem number, the 3rd subsystem number and the 4th son
Coefficient；
First subdata is carried out the first computing with the first subsystem number, the 3rd subsystem number respectively, obtains the first son
Result, the 3rd sub-result；
Second subdata is carried out the first computing with the second subsystem number, the 4th subsystem number respectively, obtains the second son
Result, the 4th sub-result；
Determine that the first sub-result and the second sub-result sum are the adjustment result to the first subdata；
Determine that the 3rd sub-result and the 4th sub-result sum are the adjustment result to the second subdata.
In such scheme, described first adjustment unit, it is additionally operable to:
Determining the second data that the first pixel is corresponding, the second data characterization is the second attribute of pixel；Really
The First Eigenvalue of fixed second data；According to the First Eigenvalue, the second data are carried out the second adjustment；Or,
In the first pixel, extract the pixel of satisfied second pre-defined rule, obtain the second pixel；Obtain
Taking the second data that the second pixel is corresponding, the second data characterization is the second attribute of pixel；Determine second
The First Eigenvalue of data；According to the First Eigenvalue, the second data are carried out the second adjustment；
Wherein, described first attribute is the color of pixel；Described second attribute is the brightness of pixel.
In such scheme, described first adjustment unit, it is additionally operable to:
Extract the second data and be positioned at the first pixel of the second preset range；
Determining that the second extracted data are positioned at the first pixel of the second preset range is the second pixel.
The information processing method of embodiment of the present invention offer and electronic equipment, described method includes: when getting
During the first image, extract the pixel meeting the first pre-defined rule in the first image, obtain the first pixel；
Determining the first data that the first pixel is corresponding, the first data characterization is the first attribute of pixel；Determine
The First Eigenvalue of one data；According to the First Eigenvalue, the first data are carried out the first adjustment.Can be simple
Effectively realize the ISP adjustment to aspects such as image lightness, saturation, tones.
Accompanying drawing explanation
The first embodiment of the information processing method that Fig. 1 provides for the present invention realize schematic flow sheet；
Second embodiment of the information processing method that Fig. 2 provides for the present invention realize schematic flow sheet；
The schematic diagram of the UV colour gamut that Fig. 3 provides for the present invention；
The schematic diagram adjusting pixel tone in UV colour gamut that Fig. 4 provides for the present invention；
The composition structural representation of the first embodiment of the electronic equipment that Fig. 5 provides for the present invention；
The composition structural representation of the second embodiment of the electronic equipment that Fig. 6 provides for the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing to a preferred embodiment of the present invention will be described in detail, it will be appreciated that described below
Bright preferred embodiment is merely to illustrate and explains the present invention, is not intended to limit the present invention.
In the information processing method and the following embodiment of electronic equipment of present invention offer, involved electronics
Equipment includes but not limited to: all kinds computer such as industrial control computer, personal computer, integral type
Computer, panel computer, mobile phone, electronic reader etc..The object of the preferred electronic equipment of the embodiment of the present invention
For industrial control computer or personal computer.
Embodiment one
The first embodiment of the information processing method that the present invention provides, is applied in an electronic equipment, described electricity
Subset has ISP function or includes ISP.In ISP, color enhancement Color Enhancement is
One significant components, by this assembly can realize to image lightness, saturation, tone etc. at least one
The enhancing of aspect.Wherein, intensification current color or desalination current color are adjusted to for saturation；Tone
It is adjusted to and current color is adjusted towards another kind of color.
The first embodiment of the information processing method that Fig. 1 provides for the present invention realize schematic flow sheet；Such as figure
Shown in 1, described method includes:
Step 101: when getting the first image, extracts the picture meeting the first pre-defined rule in the first image
Vegetarian refreshments, obtains the first pixel；
Here, the first image can be the image arrived by the collecting unit of electronic equipment such as camera collection,
The image that can also be received by network for electronic equipment, it is also possible to prestore in this locality for electronic equipment
Image；It is, of course, also possible to by other it is conceivable that by the way of obtain, be not specifically limited herein.Right
For piece image, need certain region in image is carried out lightness, saturation, tone etc. at least
The adjustment of individual aspect, as strengthened, is not adjusted for other regions.Give an example, for a width face figure
Picture, needs the enhancing that the face area in facial image carries out saturation i.e. to deepen face color, and to this
Other regions in image do not make any adjustments.In this step, meet the pixel of the first pre-defined rule i.e.
Being to need to be adjusted pixel in the first image, the first pixel is the pixel needing to be adjusted.
Certainly, the present embodiment also includes the situation being adjusted all pixels of whole image.
Step 102: determine the first data that the first pixel is corresponding, the first data characterization is the of pixel
One attribute；
In ISP, image can use YUV color coded system to encode, and wherein, Y value represents bright
Degree, namely grey decision-making；And U value and V-value represent it is colourity, effect is to describe the color of image and saturated
Degree, for characterizing the color of pixel.Here, when the color that the first attribute is image, the first data are i.e.
U value corresponding to image slices vegetarian refreshments and V-value.When the lightness that the first attribute is image, the first data
It is the Y value corresponding to image slices vegetarian refreshments.Existing phase is referred to about the color-coded specific descriptions of YUV
Close explanation, do not repeat.
Step 103: determine the First Eigenvalue of the first data；
Here, the First Eigenvalue is the adjustment range value of first data corresponding to pixel.With the first data
As a example by U value corresponding to image slices vegetarian refreshments and V-value, the First Eigenvalue includes the width adjusting this U value
Angle value A and the range value D adjusting V-value, such as A=10, D=2.
Step 104: according to the First Eigenvalue, the first data are carried out the first adjustment.
Here, with the adjustment range value determined, the first data are adjusted.Give an example, with pixel
Corresponding U value and V-value are U1, V1, as a example by A=10, D=2, UE=A*U1=10U1, VE=D*V1=2
V1；UEU value after adjusting for this pixel, VEV-value after adjusting for this pixel, the most just completes
Adjustment to the saturation of this pixel.It should be noted that those skilled in the art should and know, the most only
It is a concrete example, does not represent all situations of the present embodiment.
In aforementioned schemes, first determine the pixel needing to adjust in the first image, then be determined to characterize this picture
First data of the first attribute of vegetarian refreshments color and/or lightness, determine the adjustment range value of the first data, depend on
According to this range value, the first data are adjusted, obtain adjusted pixel in terms of color and/or lightness
Point.Compared with the mahalanobis distance method in correlation technique, this programme only needs to determine the adjustment amplitude of the first data
Value, and according to this range value, color and/or the lightness of pixel are adjusted, it is not necessary to complex calculation,
Simple and effective can realize the ISP adjustment to aspects such as image lightness, saturation, tones.
Embodiment two
Second embodiment of the information processing method that the present invention provides, is applied in an electronic equipment, described electricity
Subset has ISP function or includes ISP.In ISP, color enhancement Color Enhancement is
One significant components, by this assembly can realize to image lightness, saturation, tone etc. at least one
The enhancing of aspect.Wherein, intensification current color or desalination current color are adjusted for saturation；The tune of tone
It is whole for current color is adjusted towards the direction of another kind of color.
Second embodiment of the information processing method that Fig. 2 provides for the present invention realize schematic flow sheet；Such as figure
Shown in 2, described method includes:
Step 201: when getting the first image, determine that in the first image, each pixel is corresponding first
Data, extract the first data and are positioned at the pixel of the first preset range, determine the first data extracted
The pixel being positioned at the first preset range is described first pixel.
This step extracts the pixel meeting the first pre-defined rule in the first image as electronic equipment, obtains the
Further illustrating of one pixel.Wherein, the first image can be that the collecting unit by electronic equipment is such as taken the photograph
The image collected as head, it is also possible to the image received by network for electronic equipment, it is also possible to for electronics
The image that equipment prestores in this locality；It is, of course, also possible to by other it is conceivable that by the way of obtain, this
Place is not specifically limited.For piece image, need certain region in image to carry out lightness, satisfies
With the adjustment in terms of at least one such as degree, tone as strengthened, other regions are not adjusted.
In ISP field, owing to the human face region in character image to be carried out the enhancing of saturation, to allow people
It is relatively conventional that face region becomes this application scenarios more ruddy, so, this step and subsequent technology scheme
In all as a example by the human face region in facial image is carried out saturation enhancing.Image uses YUV color to compile
Code mode encodes, and U that each pixel is corresponding, V-value represent the color of this pixel.Concrete,
Electronic equipment first detects U, the V-value (the first data) that in present image, each pixel is corresponding, every to obtain
The color (the first attribute) of individual pixel, as a example by the face of yellow, the face color value of yellow exists
Between 80～160, (the first preset range), 80～130 are typical value, extract face in all pixels
Color is that the pixel of yellow i.e. extracts U, V-value can represent the pixel of yellow, and as the first pixel
Point.
Here, owing to relating to the U of each pixel, V-value, in YUV encodes, U, V-value are color
Difference signal, it is necessary to introduce lower UV colour gamut.The schematic diagram of the UV colour gamut that Fig. 3 provides for the present invention；As
Shown in Fig. 3, the square of outermost represents the border of UV colour gamut, includes different face inside border
Color, in application as actual in red orange red Malachitum royal purple, whitewash, rhodo etc. it is conceivable that color, different ashes
Different color in degree Regional Representative's UV colour gamut.In UV colour gamut, with rectangular central point (two
Cornerwise intersection point) it is zero, set up UV coordinate system；In a coordinate system, one group of U, V are (also
For (U, V)) value represents a kind of color.The sector region that the face color of yellow is positioned in Fig. 3,
It is positioned at the second quadrant of UV coordinate system.Such as 0 and 1 or-1 and 1 etc is used in ISP
Digital signal, so, the U in colour gamut, V-value all use numeral 0 and 1 combination mode represent one
Plant color, as this class value of U=00001010, V=00001001 represents A color.In correlation technique, often make
Represent U, V-value respectively with 8bit, in such UV colour gamut color list item just for full list item, be
28*28=256*256=65536 list item.But the biggest list item i.e. U, V-value all use 8bit position for
For ISP hardware realizes, need bigger operation and memory space, be a challenge for hardware resource.Cause
This, in the present embodiment, take memory space for reducing, reduce U, the bit of V-value, according to warp
Testing value, each U, V-value use 6bit to represent, can either represent its representative color and also be able to save
Hardware resource.On ISP hardware realizes, detect the bit value of each pixel corresponding U, V, by
The second quadrant in face color is positioned at UV coordinate system, so often organizing in U, V, extracts the highest
Bit be 0 U and the highest-order bit be the V of 1, there is extracted U, the pixel of V-value
Being pixel that is first pixel being positioned at the first preset range, aforementioned process also can be considered from current figure
All pixels of picture filter out the process of the pixel that needs are adjusted.First data are the first picture
First data are adjusted actually carrying out corresponding U, V-value by U that vegetarian refreshments is corresponding, V-value
Adjust.First pixel is to need to carry out the pixel that saturation i.e. U, V adjust on present image.
Step 202: determine the first data that the first pixel is corresponding, the first data characterization is the of pixel
One attribute；
In ISP, image can use YUV color coded system to encode, and wherein, Y value represents bright
Degree, namely grey decision-making；And U value and V-value represent it is colourity, effect is to describe the color of image and saturated
Degree, for characterizing the color of pixel.Here, when the color that the first attribute is image, determine the first number
According to the U value being corresponding to image slices vegetarian refreshments and V-value.Please join about the color-coded specific descriptions of YUV
See existing related description, do not repeat.
Step 203: be changed the first data, obtains the 3rd data, and the 3rd data are by the second pre-determined bit
Number represents, the first predetermined figure and the second predetermined figure are different；In the first predetermined relationship, determine and institute
State the first information that the 3rd data are corresponding；In the second predetermined relationship, determine second corresponding with the first information
Information；Determine that described second information representation is described the First Eigenvalue.
Here, the first predetermined figure is 6bit, and the second predetermined figure is 5bit.By U, V (first of 6bit
Data) highest order remove, obtain U, the V (the 3rd data) represented with 5bit, described change is
Fall the highest-order bit of this group U, V.Concrete, after filtering out the pixel needing to be adjusted,
These need corresponding U, the V of pixel adjusted remove highest order bit on the basis of former 6bit, obtain with
U that 5bit is indicated, V-value, the U each represented with 5bit with a group, V-value are for index, first
In predetermined relationship, search and this group U, enhancing strength information that V-value is corresponding, this first predetermined relationship sets
Be equipped with often organize U, V-value and its need strengthen strength information between corresponding relation, as U=00010,
Pixel corresponding to this group UV value of V=10011 its strengthen intensity and should be highest level one-level, the most such as
Pixel corresponding to this group UV value of U=11110, V=10011 its strengthen intensity and should be lowest level N
Level (N is positive integer).Get often organize U, after the enhancing strength information of pixel that V-value is corresponding,
In second predetermined relationship, with this enhancing strength information for index, search corresponding with this enhancing strength information the
One eigenvalue, is previously provided with the corresponding relation strengthening strength information with the First Eigenvalue in the second predetermined relationship,
The First Eigenvalue at least includes the range value A adjusting this U value and the range value D adjusting V-value；As
Strengthening pixel its A=100, D=200 that intensity is highest level, the most such as strengthening intensity is lowest level
Pixel its A=1, D=2 etc..Wherein, the first information is described enhancing strength information.
Step 204: according to the First Eigenvalue, the first data are carried out the first adjustment.
Here, with the adjustment range value determined, the first data are adjusted.Give an example, with pixel
Corresponding U value and V-value are U1, V1, as a example by A=100, D=200, UE=A*U1=100U1,
VE=D*V1=200V1；UEU value after adjusting for this pixel, VEV after adjusting for this pixel
Value, the most just completes the adjustment of the saturation to this pixel.It should be noted that those skilled in the art should
It is somebody's turn to do and knows, the most only one concrete example, do not represent all situations of the present embodiment.
In aforesaid citing, U, V are adjusted in certain proportion, pre-set in the second predetermined relationship
There is the corresponding relation strengthened between strength information and the adjustment range value D adjusting range value A, V of U；Remove
Outside this, it is also possible to utilize formula UE=A*U1+B*V1, VE=the C*U1+D*V1 UV to pixel
Value is adjusted, in this case, it is simply that when described the First Eigenvalue at least include the first subsystem number, second
Subsystem number, the 3rd subsystem number and the 4th subsystem number；By the first subdata respectively with the first subsystem number, the 3rd son
Coefficient carries out the first computing, obtains the first sub-result, the 3rd sub-result；By the second subdata respectively with second
Subsystem number, the 4th subsystem number carry out the first computing, obtain the second sub-result, the 4th sub-result；Determine first
Sub-result and the second sub-result sum are the adjustment result to the first subdata；Determine the 3rd sub-result and the 4th
Sub-result sum is the adjustment result to the second subdata.Wherein, the first subsystem number be the A in aforementioned formula,
Second subsystem number is B, the 3rd subsystem number is C, the 4th subsystem number is D.First subdata is that pixel exists
U value i.e. U1 before adjustment, the second subdata are this pixel i.e. V1 of V-value before adjustment.First computing
For multiplication operation.When the First Eigenvalue includes aforementioned four sub-coefficients, the second predetermined relationship pre-sets
There is strengthen between adjustment range value C and D of strength information and adjustment range value A and B of U, V right
Should be related to.
In one preferred embodiment of the present invention, while adjusting some pixel saturation, in addition it is also necessary to
Adjust the lightness of these pixels, realize by the following method: determine that the first pixel is corresponding second
Data, the second data characterization is the second attribute of pixel；Determine the First Eigenvalue of the second data；Foundation
Second data are carried out the second adjustment by the First Eigenvalue；Described first attribute is the color of pixel；Described
Second attribute is the brightness of pixel.In YUV color coded system, it is bright that the second data are expression
Degree Y value, in the first predetermined relationship be provided with often organize U, V-value need with it enhancing strength information
Between corresponding relation while, it needs the intensity that strengthens to be additionally provided with Y value corresponding to this group U, V-value
Information, such as the enhancing of its U, V, Y of pixel that value is U=00010, V=10011, Y=00011
Intensity is highest level one-level.In the second predetermined relationship, the enhancing being also provided with Y value accordingly is strong
Corresponding relation between degree information and its First Eigenvalue E (the adjustment range value of Y), and utilize YE=Y1
+ E*Y1 carries out the enhancing of lightness to the Y1 value of current pixel point, and Y1 is the Y strengthening this pixel front
Value, YEThe Y value of this pixel after enhancing.Aforementioned schemes can be considered the mistake that the second data carry out the second adjustment
The process that lightness is i.e. adjusted by journey.
In presently preferred embodiment, while adjusting some pixel saturation, also may be used
The adjustment of lightness is carried out, to bright in these pixels with the pixel not enough to lightness in these pixels
The adjustment not carrying out lightness of the pixel of sufficient brightness, realizes: by the following method at the first pixel
In extract the pixel of satisfied second pre-defined rule, obtain the second pixel；Obtain the second pixel corresponding
The second data, the second data characterization is the second attribute of pixel；Determine the First Eigenvalue of the second data；
According to the First Eigenvalue, the second data are carried out the second adjustment；Described first attribute is the color of pixel；
Described second attribute is the brightness of pixel.Wherein, described extract in the first pixel satisfied second pre-
Set pattern pixel then, obtains the second pixel, including: extract the second data and be positioned at the second preset range
The first pixel；Determining that the second extracted data are positioned at the first pixel of the second preset range is
Two pixels.Described second pre-defined rule is: judge the bright of each pixel carrying out saturation adjustment
Whether degree i.e. Y value is positioned at the second preset range, if located in, then it is assumed that the brightest, need to carry out bright
The adjustment of brightness；If be not positioned at, then it is assumed that the brightest, it is not necessary to carry out the adjustment of lightness, obtain
Also need to adjust the pixel (the second pixel) of lightness.Learning the picture needing to carry out lightness adjustment
After the Y value of vegetarian refreshments, in the first predetermined relationship, determine the enhancing strength information of this Y value, make a reservation for second
In relation, according to this enhancing strength information, determine its First Eigenvalue E, and utilize YE=Y1+E*Y1
Y1 value to current pixel point carries out the enhancing of lightness.Wherein, the second preset range can be 90～120,
Certainly can also take other to be reasonably worth, this time not limit.
In another preferred embodiment of the present invention, while adjusting pixel saturation, in addition it is also necessary to adjust
The tone of these pixels whole, as shown in Figure 4, in UV coordinate system, wants to adjust tone knowing
When the former U of pixel, V-value i.e. U1, V1, in addition it is also necessary to know color after former U, V-value and adjustment (
In UV colour gamut, its coordinate is (UE、VE)) between angle β；After knowing these data, utilize public affairs
Formula UE=U1×cosβ+V1×(-sinβ)、VE=V1×cosβ+U1× sin β i.e. can get the enhanced pixel of tone
The U of point, V-value.
Those skilled in the art should and know, aforementioned schemes is to adjust the explanation that saturation is done for main contents, this
Outward, it is also possible to illustrate for main contents adjusting lightness or tone, it is achieved process and aforementioned schemes
Similar, this time do not repeat.Further, it is also possible to adjust saturation, lightness and tone these three aspect simultaneously,
So that image display effect is more preferable.
In aforementioned schemes, first determining the pixel needing to carry out saturation adjustment in the first image, acquisition is used for
Characterize the U of this pixel color, V-value, in the first predetermined relationship, determine corresponding with this U, V-value
Enhancing strength information, in the second predetermined relationship, determine the enhancing width of the U corresponding with this enhancing strength information
The enhancing range value of angle value and V, utilizes the enhancing range value determined, carries out this U, V-value accordingly
Enhancing.It is also possible to utilize the first predetermined relationship to determine the enhancing intensity corresponding with the Y value of pixel
Information, in the second predetermined relationship, determines the enhancing range value that this enhancing strength information is corresponding, right to realize
The enhancing of pixel lightness.Further, it is also possible to realize the enhancing to tone.With the geneva in correlation technique
Distance method compares, and simple and effective can realize ISP to image lightness saturation, lightness and tone etc.
The adjustment of aspect, simple, can effectively save the storage of hardware and run resource.
Embodiment three
The first embodiment of the information processing method that the present invention provides, is applied in an electronic equipment, described electricity
Subset has ISP function or includes ISP.In ISP, color enhancement Color Enhancement is
One significant components, by this assembly can realize to image lightness, saturation, tone etc. at least one
The enhancing of aspect.Wherein, intensification current color or desalination current color are adjusted to for saturation；Tone
It is adjusted to and current color is adjusted towards another kind of color.
The composition structural representation of the first embodiment of the electronic equipment that Fig. 5 provides for the present invention；Such as Fig. 5 institute
Showing, described electronic equipment also includes: the first extraction unit 501, first determines unit 502, second determine list
Unit 503 and the first adjustment unit 504；Wherein,
First extraction unit 501, for when getting the first image, extracts and meets first in the first image
The pixel of pre-defined rule, obtains the first pixel；
Here, the first image can be that described electronic equipment, the specifically first extraction unit 501 pass through electronics
The image that the collecting unit of equipment such as camera collection arrives, it is also possible to received by network for electronic equipment
Image, it is also possible to the image prestored in this locality for electronic equipment；It is, of course, also possible to can by other
The mode expected obtains, and is not specifically limited herein.For piece image, need in image certain
Region carries out the adjustment in terms of at least one such as lightness, saturation, tone as strengthened, for other regions
It is not adjusted.Give an example, for a width facial image, need the face area in facial image is entered
Face color is i.e. deepened in the enhancing of row saturation, does not makes any adjustments other regions in this image.
Described electronic equipment, the specifically first extraction unit 501 determine that the pixel of satisfied first pre-defined rule is
Needing to be adjusted pixel in first image, the first pixel is the pixel needing to be adjusted.When
So, the present embodiment also includes the situation being adjusted all pixels of whole image.
First determines unit 502, for determining the first data that the first pixel is corresponding, the first data characterization
The first attribute for pixel；
In ISP, image can use YUV color coded system to encode, and wherein, Y value represents bright
Degree, namely grey decision-making；And U value and V-value represent it is colourity, effect is to describe the color of image and saturated
Degree, for characterizing the color of pixel.Here, when the color that the first attribute is image, described electronics sets
Standby, specifically first determine that unit 502 first data are the U value corresponding to image slices vegetarian refreshments and V-value.
When the lightness that the first attribute is image, described electronic equipment, specifically first determine unit 502 first
Data are the Y value corresponding to image slices vegetarian refreshments.Refer to existing about the color-coded specific descriptions of YUV
There is related description, do not repeat.
Second determines unit 503, for determining the First Eigenvalue of the first data；
Here, the First Eigenvalue is the adjustment range value of first data corresponding to pixel.With the first data
As a example by U value corresponding to image slices vegetarian refreshments and V-value, described electronic equipment, specifically second determine unit
503 determine the range value A that the First Eigenvalue includes adjusting this U value and the range value D adjusting V-value,
Such as A=10, D=2.
First adjustment unit 504, for according to the First Eigenvalue, carrying out the first adjustment to the first data.
Here, with second, described electronic equipment, the specifically first adjustment unit 504 determine that unit 503 determines
First data are adjusted by the adjustment range value gone out.Give an example, with the U value corresponding to pixel and V
Value is U1, V1, as a example by A=10, D=2, UE=A*U1=10U1, VE=D*V1=2V1；UEFor this
U value after pixel adjustment, VEV-value after adjusting for this pixel, the most just completes this pixel
The adjustment of the saturation of point.It should be noted that those skilled in the art should and know, the most only one is concrete
Citing, does not represent all situations of the present embodiment.
In aforementioned schemes, first determine the pixel needing to adjust in the first image, then be determined to characterize this picture
First data of the first attribute of vegetarian refreshments color and/or lightness, determine the adjustment range value of the first data, depend on
According to this range value, the first data are adjusted, obtain adjusted pixel in terms of color and/or lightness
Point.Compared with the mahalanobis distance method in correlation technique, this programme only needs to determine the adjustment amplitude of the first data
Value, and according to this range value, color and/or the lightness of pixel are adjusted, it is not necessary to complex calculation,
Simple and effective can realize the ISP adjustment to aspects such as image lightness, saturation, tones.
Embodiment four
The first embodiment of the information processing method that the present invention provides, is applied in an electronic equipment, described electricity
Subset has ISP function or includes ISP.In ISP, color enhancement Color Enhancement is
One significant components, by this assembly can realize to image lightness, saturation, tone etc. at least one
The enhancing of aspect.Wherein, intensification current color or desalination current color are adjusted to for saturation；Tone
It is adjusted to and current color is adjusted towards another kind of color.
The composition structural representation of the second embodiment of the electronic equipment that Fig. 6 provides for the present invention；Such as Fig. 6 institute
Showing, described electronic equipment also includes: the first extraction unit 601, first determines unit 602, second determine list
Unit 603 and the first adjustment unit 604；Wherein,
First extraction unit 601, when getting the first image, determines each pixel pair in the first image
The first data answered, extract the first data and be positioned at the pixel of the first preset range, determines and extracts
It is described first pixel that first data are positioned at the pixel of the first preset range.
Electronic equipment, the aforementioned function of the specifically first extraction unit 601 are able to carry out extracting first as it
Image meets the pixel of the first pre-defined rule, obtains further illustrating of first this function of pixel.
Wherein, the first image can be that the first extraction unit 601 is adopted by the collecting unit of electronic equipment such as photographic head
The image that collection arrives, it is also possible to the image received by network for electronic equipment, it is also possible to exist for electronic equipment
The image that this locality prestores；It is, of course, also possible to by other it is conceivable that by the way of obtain, do not do
Concrete restriction.For piece image, need certain region in image is carried out lightness, saturation,
The adjustment in terms of at least one such as tone, as strengthened, is not adjusted for other regions.
In ISP field, owing to the human face region in character image to be carried out the enhancing of saturation, to allow people
It is relatively conventional that face region becomes this application scenarios more ruddy, so, herein and in subsequent technology scheme
All as a example by the human face region in facial image is carried out saturation enhancing.Image uses YUV color coding
Mode encodes, and U that each pixel is corresponding, V-value represent the color of this pixel.Concrete, electricity
Subset, the specifically first extraction unit 601 first detect U, V that in present image, each pixel is corresponding
Value (the first data), to obtain the color (the first attribute) of each pixel, as a example by the face of yellow,
The face color value of yellow (the first preset range), 80～130 between 80～160 are typical value,
In all pixels, extract that the pixel that color is yellow i.e. extracts U, V-value can represent yellow
Pixel, and as the first pixel.
Here, owing to relating to the U of each pixel, V-value, in YUV encodes, U, V-value are color
Difference signal, it is necessary to introduce lower UV colour gamut.The schematic diagram of the UV colour gamut that Fig. 3 provides for the present invention；As
Shown in Fig. 3, the square of outermost represents the border of UV colour gamut, includes different face inside border
Color, in application as actual in red orange red Malachitum royal purple, whitewash, rhodo etc. it is conceivable that color, different ashes
Different color in degree Regional Representative's UV colour gamut.In UV colour gamut, with rectangular central point (two
Cornerwise intersection point) it is zero, set up UV coordinate system；In a coordinate system, one group of U, V are (also
For (U, V)) value represents a kind of color.The sector region that the face color of yellow is positioned in Fig. 3,
It is positioned at the second quadrant of UV coordinate system.Such as 0 and 1 or-1 and 1 etc is used in ISP
Digital signal, so, the U in colour gamut, V-value all use numeral 0 and 1 combination mode represent one
Plant color, as this class value of U=00001010, V=00001001 represents A color.In correlation technique, often make
Represent U, V-value respectively with 8bit, in such UV colour gamut color list item just for full list item, be
28*28=256*256=65536 list item.But the biggest list item i.e. U, V-value all use 8bit position for
For ISP hardware realizes, need bigger operation and memory space, be a challenge for hardware resource.Cause
This, in the present embodiment, take memory space for reducing, reduce U, the bit of V-value, according to warp
Testing value, each U, V-value use 6bit to represent, can either represent its representative color and also be able to save
Hardware resource.On ISP hardware realizes, electronic equipment, the specifically first extraction unit 601 detect each
The bit value of U, V that pixel is corresponding, the second quadrant being positioned in UV coordinate system due to face color,
So often organizing in U, V, extracting U that the highest-order bit is 0 and the highest-order bit be the V of 1,
Have extracted U, the pixel of V-value is pixel that is first picture being positioned at the first preset range
Vegetarian refreshments, aforementioned process also can be considered and filters out the picture needing to be adjusted from all pixels of present image
The process of vegetarian refreshments.First data are U corresponding to the first pixel, V-value, are adjusted the first data
It is actually and corresponding U, V-value are adjusted.First pixel is to need to carry out on present image
The pixel that saturation i.e. U, V adjust.
First determines unit 602, for determining the first data that the first pixel is corresponding, the first data characterization
The first attribute for pixel；
In ISP, image can use YUV color coded system to encode, and wherein, Y value represents bright
Degree, namely grey decision-making；And U value and V-value represent it is colourity, effect is to describe the color of image and saturated
Degree, for characterizing the color of pixel.Here, when the color that the first attribute is image, described electronics sets
Standby, specifically first determine that unit 602 first data are the U value corresponding to image slices vegetarian refreshments and V-value.
Refer to existing related description about the color-coded specific descriptions of YUV, do not repeat.
Described second determines unit 603, is used for: described first data are represented by the first predetermined figure, right
First data are changed, and obtain the 3rd data, and the 3rd data are represented by the second predetermined figure, and first is pre-
Location number and the second predetermined figure are different；In the first predetermined relationship, determine corresponding with described 3rd data
The first information；In the second predetermined relationship, determine second information corresponding with the first information；Determine described
Two information representations are described the First Eigenvalue.
Here, the first predetermined figure is 6bit, and the second predetermined figure is 5bit.Second determines that unit 603 will
The highest order of U, V (the first data) of 6bit is removed, and obtains U, the V (the 3rd data) represented with 5bit,
Described change is the highest-order bit removing this group U, V.Concrete, sieve at the first extraction unit 601
After selecting the pixel needing to be adjusted, these need U, V that the pixel adjusted is corresponding former
Highest order bit is removed on the basis of 6bit, U that second determines unit 603 to obtain with 5bit is indicated, V-value,
The U, the V-value that each represent with 5bit with one group are index, in the first predetermined relationship, search with this group U,
The enhancing strength information that V-value is corresponding, this first predetermined relationship is provided with often organize U, V-value need with it increase
The strong corresponding relation between strength information is as corresponding in this group UV value of U=00010, V=10011
Its enhancing intensity of pixel should be this group UV of highest level one-level, the most such as U=11110, V=10011
Pixel corresponding to value its strengthen intensity and should be lowest level N level (N is positive integer).Every getting
Group U, pixel that V-value is corresponding enhancing strength information after, in the second predetermined relationship, strong with this enhancing
Degree information is index, searches the First Eigenvalue corresponding with this enhancing strength information, pre-in the second predetermined relationship
First being provided with the corresponding relation strengthening strength information with the First Eigenvalue, the First Eigenvalue at least includes this U
The range value A that value adjusts and the range value D to V-value adjustment；As strengthened the pixel that intensity is highest level
Its A=100, D=200, the most such as, strengthen pixel its A=1, D=2 etc. that intensity is lowest level.
Wherein, the first information is described enhancing strength information.
First adjustment unit 604, for according to the First Eigenvalue, carrying out the first adjustment to the first data.
Here, with first, the first adjustment unit 604 determines that unit 603 determines adjustment range value is to first
Data are adjusted.Give an example, with the U value corresponding to pixel and V-value as U1, V1, A=100,
As a example by D=200, the first adjustment unit 604 utilizes UE=A*U1=100U1, VE=D*V1=200V1 pair
U, V-value are adjusted；UEU value after adjusting for this pixel, VEV after adjusting for this pixel
Value, the most just completes the adjustment of the saturation to this pixel.It should be noted that those skilled in the art should
It is somebody's turn to do and knows, the most only one concrete example, do not represent all situations of the present embodiment.
In aforesaid citing, U, V are adjusted in certain proportion, pre-set in the second predetermined relationship
There is the corresponding relation strengthened between strength information and the adjustment range value D adjusting range value A, V of U；Remove
Outside this, the first adjustment unit 604 can also utilize formula UE=A*U1+B*V1, VE=C*U1+D*V1
The UV value of pixel is adjusted, in this case, it is simply that when described the First Eigenvalue at least includes
One subsystem number, the second subsystem number, the 3rd subsystem number and the 4th subsystem number；First adjustment unit 604 is used for will
First subdata carries out the first computing with the first subsystem number, the 3rd subsystem number respectively, obtain the first sub-result,
3rd sub-result；Second subdata is carried out the first computing with the second subsystem number, the 4th subsystem number respectively,
To the second sub-result, the 4th sub-result；Determine that the first sub-result and the second sub-result sum are to the first subnumber
According to adjustment result；Determine that the 3rd sub-result and the 4th sub-result sum are the adjustment result to the second subdata.
Wherein, the first subsystem number be the A in aforementioned formula, the second subsystem number be B, the 3rd subsystem number be C,
Four subsystem numbers are D.First subdata is pixel U value i.e. U1 before adjustment, the second subdata was for should
The pixel i.e. V1 of V-value before adjustment.First computing is multiplication operation.Include aforementioned at the First Eigenvalue
During four sub-coefficients, the second predetermined relationship is previously provided with the adjustment range value A strengthening strength information with U
And the corresponding relation between adjustment range value C and D of B, V.
In one preferred embodiment of the present invention, described first adjustment unit 604, it is additionally operable to adjusting certain
While a little pixel saturations, in addition it is also necessary to adjust the lightness of these pixels, come real by the following method
Existing: the first adjustment unit 604 determines the second data that the first pixel is corresponding, and the second data characterization is pixel
Second attribute of point；Determine the First Eigenvalue of the second data；According to the First Eigenvalue, the second data are entered
Row second adjusts；Described first attribute is the color of pixel；Described second attribute is the brightness of pixel.
In YUV color coded system, the second data are the Y value representing lightness, at the first predetermined relationship
In often organize U, V-value and while it needs the corresponding relation between the strength information strengthened, also being provided with
It needs the strength information that strengthens to be provided with Y value corresponding to this group U, V-value, as value be U=00010,
The enhancing intensity of its U, V, Y of the pixel of V=10011, Y=00011 is highest level one-level.?
In second predetermined relationship, to be also provided with enhancing strength information and its First Eigenvalue E (Y of Y value accordingly
Adjustment range value) between corresponding relation, and utilize YE=the Y1+E*Y1 Y1 to current pixel point
Value carries out the enhancing of lightness, and Y1 is the Y value strengthening this pixel front, YEThe Y of this pixel after enhancing
Value.Aforementioned schemes can be considered and the second data carry out the mistake that lightness is i.e. adjusted by the process of the second adjustment
Journey.
In presently preferred embodiment, the first adjustment unit 604, it is additionally operable to adjusting some
While pixel saturation, it is also possible to the pixel not enough to lightness in these pixels carries out lightness
Adjustment, to the adjustment not carrying out lightness of pixel of lightness foot in these pixels, by as follows
Method realizes: extracts the pixel of satisfied second pre-defined rule in the first pixel, obtains the second picture
Vegetarian refreshments；First adjustment unit 604 is for obtaining the second data that the second pixel is corresponding, the second data characterization
The second attribute for pixel；Determine the First Eigenvalue of the second data；According to the First Eigenvalue, to second
Data carry out the second adjustment；Described first attribute is the color of pixel；Described second attribute is pixel
Brightness.Wherein, the described pixel extracting satisfied second pre-defined rule in the first pixel, obtain
Two pixels, including: extract the second data and be positioned at the first pixel of the second preset range；Determine and carried
It is the second pixel that the second data taken are positioned at the first pixel of the second preset range.Described second makes a reservation for
Rule is: the first adjustment unit 604 judges the lightness i.e. Y of each pixel carrying out saturation adjustment
Whether value is positioned at the second preset range, if located in, then it is assumed that the brightest, need to carry out lightness
Adjust；If be not positioned at, then it is assumed that the brightest, it is not necessary to carry out the adjustment of lightness, also needed to
Adjust the pixel (the second pixel) of lightness.Learning the pixel that needs to carry out lightness adjustment
After Y value, in the first predetermined relationship, determine the enhancing strength information of this Y value, in the second predetermined relationship,
According to this enhancing strength information, determining its First Eigenvalue E, the first adjustment unit 604 also utilizes YE=Y1
+ E*Y1 carries out the enhancing of lightness to the Y1 value of current pixel point.Wherein, the second preset range can be
90～120, certainly can also take other and reasonably be worth, this time not limit.
In another preferred embodiment of the present invention, the first adjustment unit 604 is additionally operable to adjusting pixel
While saturation, in addition it is also necessary to adjust the tone of these pixels, as shown in Figure 4, in UV coordinate system,
When knowing the former U of pixel, V-value i.e. U1, the V1 wanting to adjust tone, in addition it is also necessary to know former U, V
After value and adjustment, (in UV colour gamut, its coordinate is (U to colorE、VE)) between angle β；Knowing this
After several data, utilize formula UE=U1×cosβ+V1×(-sinβ)、VE=V1×cosβ+U1× sin β
U, V-value to the enhanced pixel of tone.
Those skilled in the art should and know, aforementioned schemes is to adjust the explanation that saturation is done for main contents, this
Outward, it is also possible to illustrate for main contents adjusting lightness or tone, it is achieved process and aforementioned schemes
Similar, this time do not repeat.Further, it is also possible to adjust saturation, lightness and tone these three aspect simultaneously,
So that image display effect is more preferable.
In aforementioned schemes, first determining the pixel needing to carry out saturation adjustment in the first image, acquisition is used for
Characterize the U of this pixel color, V-value, in the first predetermined relationship, determine corresponding with this U, V-value
Enhancing strength information, in the second predetermined relationship, determine the enhancing width of the U corresponding with this enhancing strength information
The enhancing range value of angle value and V, utilizes the enhancing range value determined, carries out this U, V-value accordingly
Enhancing.It is also possible to utilize the first predetermined relationship to determine the enhancing intensity corresponding with the Y value of pixel
Information, in the second predetermined relationship, determines the enhancing range value that this enhancing strength information is corresponding, right to realize
The enhancing of pixel lightness.Further, it is also possible to realize the enhancing to tone.With the geneva in correlation technique
Distance method compares, and simple and effective can realize ISP to image lightness saturation, lightness and tone etc.
The adjustment of aspect, simple, can effectively save the storage of hardware and run resource.
In several embodiments provided herein, it should be understood that disclosed equipment and method, can
To realize by another way.Apparatus embodiments described above is only schematically, such as, and institute
Stating the division of unit, be only a kind of logic function and divide, actual can have other dividing mode when realizing,
As: multiple unit or assembly can be in conjunction with, or it is desirably integrated into another system, or some features can be neglected
Slightly, or do not perform.It addition, the coupling each other of shown or discussed each ingredient or directly coupling
Close or communication connection can be the INDIRECT COUPLING by some interfaces, equipment or unit or communication connection, can
Be electrical, machinery or other form.
The above-mentioned unit illustrated as separating component can be or may not be physically separate, as
The parts that unit shows can be or may not be physical location, i.e. may be located at a place, it is possible to
To be distributed on multiple NE；Part or all of unit therein can be selected according to the actual needs
Realize the purpose of the present embodiment scheme.
It addition, each functional unit in various embodiments of the present invention can be fully integrated in a processing unit,
Can also be that each unit is individually as a unit, it is also possible to two or more unit are integrated in one
In individual unit；Above-mentioned integrated unit both can realize to use the form of hardware, it would however also be possible to employ hardware adds soft
The form of part functional unit realizes.
One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can
Completing with the hardware relevant by programmed instruction, aforesaid program can be stored in an embodied on computer readable and deposit
In storage media, this program upon execution, performs to include the step of said method embodiment；And aforesaid storage
Medium includes: movable storage device, read only memory (ROM, Read-Only Memory), magnetic disc or
The various media that can store program code such as person's CD.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited to
This, any those familiar with the art, in the technical scope that the invention discloses, can readily occur in
Change or replacement, all should contain within protection scope of the present invention.Therefore, protection scope of the present invention should
It is as the criterion with described scope of the claims.
Claims (12)
1. an information processing method, is applied in an electronic equipment, when getting the first image, described
Method includes:
Extract the pixel meeting the first pre-defined rule in the first image, obtain the first pixel；
Determining the first data that the first pixel is corresponding, the first data characterization is the first attribute of pixel；
Determine the First Eigenvalue of the first data；
According to the First Eigenvalue, the first data are carried out the first adjustment.
Method the most according to claim 1, it is characterised in that meet the in described extraction the first image
The pixel of one pre-defined rule, obtains the first pixel, including:
Determine the first data that in the first image, each pixel is corresponding；
Extract the first data and be positioned at the pixel of the first preset range；
Determining that the first data extracted are positioned at the pixel of the first preset range is described first pixel.
Method the most according to claim 1 and 2, it is characterised in that described first data are pre-by first
Location number represents,
Accordingly, the described the First Eigenvalue determining the first data, including:
Being changed the first data, obtain the 3rd data, the 3rd data are represented by the second predetermined figure,
First predetermined figure and the second predetermined figure are different；
In the first predetermined relationship, determine the first information corresponding with described 3rd data；
In the second predetermined relationship, determine second information corresponding with the first information；
Determine that described second information representation is described the First Eigenvalue.
Method the most according to claim 1, it is characterised in that described according to the First Eigenvalue, to the
One data carry out the first adjustment, including:
Described first data at least include the first subdata and the second subdata；
Described the First Eigenvalue at least includes the first subsystem number, the second subsystem number, the 3rd subsystem number and the 4th son
Coefficient；
First subdata is carried out the first computing with the first subsystem number, the 3rd subsystem number respectively, obtains the first son
Result, the 3rd sub-result；
Second subdata is carried out the first computing with the second subsystem number, the 4th subsystem number respectively, obtains the second son
Result, the 4th sub-result；
Determine that the first sub-result and the second sub-result sum are the adjustment result to the first subdata；
Determine that the 3rd sub-result and the 4th sub-result sum are the adjustment result to the second subdata.
Method the most according to claim 1, it is characterised in that described method also includes:
Determining the second data that the first pixel is corresponding, the second data characterization is the second attribute of pixel；Really
The First Eigenvalue of fixed second data；According to the First Eigenvalue, the second data are carried out the second adjustment；Or,
In the first pixel, extract the pixel of satisfied second pre-defined rule, obtain the second pixel；Obtain
Taking the second data that the second pixel is corresponding, the second data characterization is the second attribute of pixel；Determine second
The First Eigenvalue of data；According to the First Eigenvalue, the second data are carried out the second adjustment；
Wherein, described first attribute is the color of pixel；Described second attribute is the brightness of pixel.
Method the most according to claim 5, it is characterised in that described extract in the first pixel
Meet the pixel of the second pre-defined rule, obtain the second pixel, including:
Extract the second data and be positioned at the first pixel of the second preset range；
Determining that the second extracted data are positioned at the first pixel of the second preset range is the second pixel.
7. an electronic equipment, described electronic equipment includes:
First extraction unit, for when getting the first image, extracts and meets first in the first image and make a reservation for
The pixel of rule, obtains the first pixel；
First determines unit, and for determining the first data that the first pixel is corresponding, the first data characterization is picture
First attribute of vegetarian refreshments；
Second determines unit, for determining the First Eigenvalue of the first data；
First adjustment unit, for according to the First Eigenvalue, carrying out the first adjustment to the first data.
Electronic equipment the most according to claim 7, it is characterised in that described first extraction unit, uses
In: determine the first data that in the first image, each pixel is corresponding；
Extract the first data and be positioned at the pixel of the first preset range；
Determining that the first data extracted are positioned at the pixel of the first preset range is described first pixel.
9. according to the electronic equipment described in claim 7 or 8, it is characterised in that described second determines unit,
For: described first data are represented by the first predetermined figure,
Being changed the first data, obtain the 3rd data, the 3rd data are represented by the second predetermined figure,
First predetermined figure and the second predetermined figure are different；
In the first predetermined relationship, determine the first information corresponding with described 3rd data；
In the second predetermined relationship, determine second information corresponding with the first information；
Determine that described second information representation is described the First Eigenvalue.
Electronic equipment the most according to claim 7, it is characterised in that described first adjustment unit,
It is additionally operable to:
Described first data at least include the first subdata and the second subdata；
Described the First Eigenvalue at least includes the first subsystem number, the second subsystem number, the 3rd subsystem number and the 4th son
Coefficient；
First subdata is carried out the first computing with the first subsystem number, the 3rd subsystem number respectively, obtains the first son
Result, the 3rd sub-result；
Second subdata is carried out the first computing with the second subsystem number, the 4th subsystem number respectively, obtains the second son
Result, the 4th sub-result；
Determine that the first sub-result and the second sub-result sum are the adjustment result to the first subdata；
Determine that the 3rd sub-result and the 4th sub-result sum are the adjustment result to the second subdata.
11. electronic equipments according to claim 7, it is characterised in that described first adjustment unit,
It is additionally operable to:
Determining the second data that the first pixel is corresponding, the second data characterization is the second attribute of pixel；Really
The First Eigenvalue of fixed second data；According to the First Eigenvalue, the second data are carried out the second adjustment；Or,
In the first pixel, extract the pixel of satisfied second pre-defined rule, obtain the second pixel；Obtain
Taking the second data that the second pixel is corresponding, the second data characterization is the second attribute of pixel；Determine second
The First Eigenvalue of data；According to the First Eigenvalue, the second data are carried out the second adjustment；
Wherein, described first attribute is the color of pixel；Described second attribute is the brightness of pixel.
12. electronic equipments according to claim 11, it is characterised in that described first adjustment unit,
It is additionally operable to:
Extract the second data and be positioned at the first pixel of the second preset range；
Determining that the second extracted data are positioned at the first pixel of the second preset range is the second pixel.
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| CN110968723B (en) * | 2018-09-29 | 2023-05-12 | 深圳云天励飞技术有限公司 | Image characteristic value searching method and device and electronic equipment |
| CN113254690A (en) * | 2020-02-10 | 2021-08-13 | 华为技术有限公司 | Thumbnail display method and equipment |
| CN113436126A (en) * | 2021-07-13 | 2021-09-24 | 上海艾为电子技术股份有限公司 | Image saturation enhancement method and system and electronic equipment |
| CN113436126B (en) * | 2021-07-13 | 2022-06-10 | 上海艾为电子技术股份有限公司 | Image saturation enhancement method and system and electronic equipment |
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