CN104581103A - Image processing method and device - Google Patents
Image processing method and device Download PDFInfo
- Publication number
- CN104581103A CN104581103A CN201310495619.XA CN201310495619A CN104581103A CN 104581103 A CN104581103 A CN 104581103A CN 201310495619 A CN201310495619 A CN 201310495619A CN 104581103 A CN104581103 A CN 104581103A
- Authority
- CN
- China
- Prior art keywords
- value
- color space
- picture
- pending
- color
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Processing Of Color Television Signals (AREA)
- Image Processing (AREA)
Abstract
The invention discloses an image processing method which comprises the following steps: acquiring an image to be processed according to an image processing request, selecting at least one color space for the image to be processed, acquiring at least one color value of each pixel point of the image to be processed, described by at least one color space, confirming an area to be processed according to the color value, and processing the area to be processed, wherein at least one color value of each pixel point in the area to be processed is within a preset range. In addition, the invention further provides an image processing device. By adopting the image processing method and device, the area to be processed can be specifically processed, and the image processing efficiency and the processing effect are improved.
Description
Technical field
The present invention relates to communication technical field, particularly relate to a kind of image processing method and device.
Background technology
At present, along with digital camera, mobile phone, the first-class equipment that can be used for making a video recording of shooting are popularized, it is more and more easier that picture produces, quantity also gets more and more, but due to shooting light, reason such as shooting equipment, reference object etc., picture effect of some shootings are often not fully up to expectations, and such as, in the saturation of picture, brightness and photo, the colour of skin etc. of people does not all reach ideal effect.
In prior art, common professional photo handling software can be utilized to process picture, as carried out the adjustment of the low-level image features such as illumination, colour temperature, brightness and saturation to picture, but often operate cumbersome, good not to the colour of skin treatment effect of people in picture.
Summary of the invention
In view of this, the invention provides a kind of image processing method and device, specific pending region in picture can be detected, thus separately landscaping treatment is carried out to this pending region, make picture processing efficiency higher, and treatment effect is better.
A kind of image processing method, comprising: according to the picture that picture processing acquisition request is pending; For at least one color space selected by described pending picture; At least one color value that each pixel obtaining described pending picture adopts this at least one color space to describe; Determine pending region according to this color value, in described pending region, at least one color value of each pixel is in predetermined scope; And this pending region is processed.
A kind of picture processing device, comprising: acquiring unit, for according to the pending picture of picture processing acquisition request; Selected cell, selects at least one color space for the described pending picture obtained for described acquiring unit; Described acquiring unit, at least one color value that each pixel also for obtaining described pending picture adopts this at least one color space to describe; Determining unit, determines pending region for this color value obtained according to described acquiring unit, and in described pending region, at least one color value of each pixel is in predetermined scope; And processing unit, process for this pending region determined described determining unit.
According to above-mentioned image processing method and device, according to the picture that picture processing acquisition request is pending, for at least one color space selected by described pending picture, at least one color value that each pixel obtaining this pending picture adopts this at least one color space to describe, pending region is determined according to this color value, this pending region is processed, thus specific aim process can be done to this pending region, improve picture processing efficiency and treatment effect.
For above and other object of the present invention, feature and advantage can be become apparent, preferred embodiment cited below particularly, and coordinate institute's accompanying drawings, be described in detail below.
Accompanying drawing explanation
Fig. 1 is the structure chart of picture processing system in the embodiment of the present invention.
Fig. 2 is an embodiment schematic diagram of image processing method in the embodiment of the present invention.
Fig. 3 is another embodiment schematic diagram of image processing method in the embodiment of the present invention.
Fig. 4 is an embodiment schematic diagram of picture processing device in the embodiment of the present invention.
Fig. 5 is another embodiment schematic diagram of picture processing device in the embodiment of the present invention.
Embodiment
For further setting forth the present invention for the technological means that realizes predetermined goal of the invention and take and effect, below in conjunction with accompanying drawing and preferred embodiment, to according to the specific embodiment of the present invention, structure, feature and effect thereof, be described in detail as follows.
The embodiment of the present invention provides a kind of picture processing system, consults Fig. 1, and it comprises following three parts:
User interface (User Interface, UI) display subsystem 101, picture encoding and decoding subsystem 102, picture one key beautifies subsystem 103.
Wherein, UI display subsystem 101, for the display of picture and operation interface, specifically may further include:
Picture display interface module, for showing decoded picture;
Reader action bar module, for the reader forms action button Showed Picture, comprising display one key and beautifies button, for completing the operation to picture, also comprising picture score value exhibition section, for showing the score of concrete picture.
Picture encoding and decoding subsystem 102, for carrying out coding-decoding operation to picture, picture encoding and decoding subsystem 102 can further include:
Picture decode module, for resolving the coding of picture, converts original image information flow to, makes picture can beautify subsystem 103 by picture one key and carries out landscaping treatment;
Coding of graphics module, for original image information flow is encoded to the picture formats such as JPEG, BMP, PCX, may be used for UI display subsystem 101 show landscaping treatment after picture.
Picture one key beautifies subsystem 103, for detecting the area of skin color of picture, and beautifies picture on the basis detected.Perform the adjustment to illumination, colour temperature, brightness, saturation, and execution performs a key whitening operation to area of skin color.
In the technical field relevant to color, color space is referred to as to a kind of method that color is encoded, also can be described as color model or color system.Any one color describes with three or more relatively independent attributes (component color) usually, if be respectively these independent variables to set up reference axis, just can form a space, Here it is color space.And color by different angles, can be described with different attribute, just create different color spaces.But the color object be described itself is objective, different colours space is just gone to weigh same object from different angles.Common color space comprises: RGB, YCbCr, HSV.
Rgb color pattern is a kind of color standard of industrial quarters, by obtaining color miscellaneous to the change of red (R), green (G), blue (B) three Color Channels and their superpositions each other, namely RGB is the color representing red, green, blue three passages, this standard almost include human eyesight can all colours of perception, be use one of the widest color system at present.The RGB component that rgb color pattern use RGB model is each pixel in image distributes the intensity level in 0 ~ 255 scope.RGB image only uses three kinds of colors, and them just can be made according to the mixing of different ratios, screen reappears 16777216 (256*256*256) and plants color.
YCbCr is not a kind of definitely color space, is the version of the compression of YUV color space and skew.YCbCr wherein Y refers to luminance component, and Cb refers to chroma blue component, and Cr refers to red chrominance component.YUV color space: color picture signal is obtained RGB after color separation, respectively amplification correction, obtain brightness signal Y and two color difference signal R-Y(and U through matrixer again), B-Y(and V), brightness and these three signals of aberration are encoded by last transmitting terminal respectively, send with same channel.Compared with transmitting with rgb video signal, its maximum advantage be only need to take few frequency range (RGB require three independently vision signal transmit simultaneously).The importance of YUV color space is adopted to be that its brightness signal Y is separated with carrier chrominance signal U, V.Wherein " Y " represents lightness (Luminance or Luma), namely grey decision-making, and that " U " and " V " represents is then colourity (Chrominance or Chroma), and effect describes colors of image and saturation, is used to specify the color of pixel.If only have Y-signal component and do not have U, V component, the image represented so is like this exactly black and white gray level image." brightness " is through RGB input signal to set up, and method is superimposed together by the specific part of rgb signal." colourity " then defines two aspects-tone and the saturation of color, represents respectively with Cr and Cb.Wherein, Cr reflects the difference between RGB input signal RED sector and rgb signal brightness value, and Cb reflection is difference between RGB input signal blue portion and rgb signal brightness value.
In hsv color space, the parameter of color respectively: color (H), purity (S), lightness (V).The three-dimensional parameter of HSV model develops from RGB cube.Imagination is observed to Black vertices from RGB along the cornerwise White vertex of cube, just can see cubical hexagonal external feature.Hexagonal boundaries represents color, and trunnion axis represents purity, and lightness is measured along vertical axis.Wherein, color H Parametric Representation color information, the position of namely residing spectral color.This parameter one angular metric represents, red, green, blue is separated by 120 degree respectively.Complementary colours differs 180 degree respectively.Purity S is a ratio value, and scope is from 0 to 1, and it is expressed as the ratio between the purity of selected color and the maximum purity of this color.During S=0, only has gray scale.Lightness V represents the light levels of color, and scope is from 0 to 1.Not directly contact between it and luminous intensity.
Introduce the image processing method in the embodiment of the present invention below, refer to Fig. 2, an embodiment of the image processing method in the embodiment of the present invention comprises:
201, according to the picture that picture processing acquisition request is pending;
UI display subsystem is to user's operation display interface, and can be specifically the reader forms action button that reader action bar module Shows Picture, this user selects picture to be processed by this reader forms action button on operation interface.Receive the picture processing request of user, according to the picture that this picture processing acquisition request is pending, this pending picture can be loaded into.
202, at least one color space selected by described pending picture;
For described pending picture selects one or more color space, as the description to color in picture.The instantiation of above-mentioned color space can comprise: the combination in any in RGB color space, hsv color space, YCbCr color space, arbitrarily other color spaces and aforementioned shades of colour space.
203, obtain each pixel of described pending picture and adopt at least one color value that this at least one color space describes;
According to different objects, for a color space, different color values can be adopted.Such as, for RGB color space, only R value, G value or B value can be adopted; Also can be that R value, G value and B value all adopt, the concrete color value adopted depends on concrete demand.
In an application scenarios, the method for the present embodiment is for carrying out the colour of skin process of portrait.The color space selected in step 202 comprises RGB color space, hsv color space and YCbCr color space simultaneously.R value and B value can be adopted for RGB color space, Cr value can be adopted for YCbCr color space, for hsv color space, H value can be adopted.
204, determine pending region according to this color value, in this pending region, this at least one color value of each pixel is in predetermined scope;
Above-mentioned predetermined scope obtains based on existing empirical statistics.Such as, in above-mentioned application scenarios, the method for the present embodiment is used for carrying out colour of skin process.That is, the pending region determined in step 204 is exactly the region at skin place.Above-mentioned predetermined scope is exactly the color value scope counting skin area pixel according to existing photo.Its concrete statistic processes such as can be as follows: in a large amount of portrait picture, handmarking goes out skin area; Then the color value of all pixels in skin area is read; And determine above-mentioned predetermined scope according to the color value read.
For carrying out colour of skin process, according to statistics in advance, the color value of skin area should meet: the R value of RGB color space standards is between 0.4 to 0.5, and B value is between 0.15 to 0.3; The Cr value of YCbCr color space is between 133 to 173; Or the H value in hsv color space is between 0 to 50.For the pixel meeting above-mentioned condition, skin pixels point should be considered as.
In an example, in step 204, certain pixel meets above-mentioned standard at any one color space, is namely considered as the pixel of skin area.
In an example, in step 204, certain pixel meets above-mentioned standard at two or more color spaces, is just considered as the pixel of skin area.
In an example, in step 204, certain pixel meets above-mentioned standard in all colours space, is just considered as the pixel of skin area.
Should understand, if above-mentioned pending region is not for colour of skin process, then above-mentioned predetermined scope should correspondingly adjust.
205, this pending region is processed.
This pending region determined is processed.Such as colour of skin landscaping treatment is carried out to this pending region, and be technology contents well known to those of ordinary skill in the art for the various image procossing of region person determined, suitable technical scheme can be quoted arbitrarily.
In the embodiment of the present invention, according to the picture that picture processing acquisition request is pending, for at least one color space selected by described pending picture, at least one color value that each pixel obtaining this pending picture adopts this at least one color space to describe, pending region is determined according to this color value, this pending region is processed, thus specific aim process can be done to this pending region, improve picture processing efficiency and treatment effect.
Describe the image processing method in the embodiment of the present invention in detail with another embodiment below, refer to Fig. 3, another embodiment of the image processing method in the embodiment of the present invention comprises:
301, according to the picture that picture processing acquisition request is pending;
UI display subsystem is to user's operation display interface, it can be specifically the reader forms action button that reader action bar module Shows Picture, carry out the operation of picture processing request for user, this user selects picture to be processed by this reader forms action button on operation interface.This picture processing request is triggered when detecting that this button is clicked or press.According to the picture that this picture processing acquisition request is pending, this pending picture can be loaded into.
302, described picture is carried out preposition landscaping treatment, this preposition landscaping treatment comprises illumination to this picture, landscaping treatment that colour temperature, brightness, saturation are carried out;
This pending picture is carried out overall preposition landscaping treatment, i.e. the Zone Full of this pending picture of landscaping treatment.
Particularly, illumination adjusts, and by histogram equalization process, adjusts dark or excessively bright picture;
Colour temperature adjusts, and adjusts colour temperature by the H passage in the hsv color space adjusting picture;
Brightness adjustment, adjusts brightness by the Y passage of the YUV color space adjusting picture;
Saturation adjusts, and adjusts saturation by the channel S in the hsv color space adjusting picture.
Concrete adjustment mode and the parameter reached after adjusting, can need, by existing techniques in realizing, to repeat no more according to user herein.
303, at least one color space selected by described pending picture;
For described pending picture selects one or more color space, as the description to color in picture.This at least one color space comprises: one of RGB color space, YCbCr color space, hsv color space are any or its combination in any.
304, at least one color value that each pixel obtaining described pending picture adopts this at least one color space to describe;
According to different objects, for a color space, different color values can be adopted.Such as, for RGB color space, only R value, G value or B value can be adopted; Also can be that R value, G value and B value all adopt, the concrete color value adopted depends on concrete demand.
In an application scenarios, the method for the present embodiment is for carrying out the colour of skin process of portrait.The color space selected in step 202 comprises RGB color space, hsv color space and YCbCr color space simultaneously.R value and B value can be adopted for RGB color space, Cr value can be adopted for YCbCr color space, for hsv color space, H value can be adopted.
305, determine pending region according to this color value, in this pending region, at least one color value of each pixel is in predetermined scope;
According to this at least one color value that each pixel adopts color space to describe, pending region is determined in the picture that this is pending, in this pending region, at least one color value of each pixel is in predetermined scope, can be a color value within the scope of predetermined color value, also can be that multiple color value is within the scope of predetermined color value.
In the embodiment of the present invention, if the R value of the RGB color space standards in region, certain is between 0.4 to 0.5 in picture, B value is between 0.15 to 0.3, or, the Cr value of YCbCr color space is between 133 to 173, or the H value in hsv color space is between 0 to 50, then this region, certain is defined as the skin area of pending people, and landscaping treatment is carried out to this skin area.
Or, if the color value of the color space in region, certain meets the R value of RGB color space standards between 0.4 to 0.5 in picture simultaneously, B value is between 0.15 to 0.3, the Cr value of YCbCr color space is between 133 to 173, the H value in hsv color space is between 0 to 50, then this region, certain is defined as the skin area of pending people, and landscaping treatment is carried out to this skin area.
306, this pending region is processed.
Carry out landscaping treatment to this pending region, such as, a key whitening is carried out in the region occurred there being figure skin in picture.And show the picture after landscaping treatment.
In the embodiment of the present invention, according to the picture that picture processing acquisition request is pending, the picture pending to this comprises illumination, colour temperature, brightness, the landscaping treatment of saturation, the treatment effeciency to picture can be improved, for RGB color space selected by described pending picture, YCbCr color space, at least one color space in hsv color space and combination in any thereof, obtain R value and the B value of RGB color space corresponding to each pixel of this pending picture, the Cr value of YCbCr color space, at least one color value in the H value in hsv color space, the skin area of pending people is determined according to this color value, one key whitening process is carried out to the skin area of this pending people, thus specific aim process can be done to the skin area of the personage in picture, further raising is to the treatment effeciency of skin area in picture and treatment effect.
Picture processing device in the embodiment of the present invention is described below, refers to Fig. 4, the picture processing device in the embodiment of the present invention comprises:
Acquiring unit 401, for according to the pending picture of picture processing acquisition request;
Selected cell 402, selects at least one color space for the described pending picture obtained for described acquiring unit 401;
Described acquiring unit 401, at least one color value that each pixel also for obtaining described pending picture adopts this at least one color space to describe;
Determining unit 403, determine pending region for this color value obtained according to described acquiring unit 401, in described pending region, at least one color value of each pixel is in predetermined scope;
Processing unit 404, processes for this pending region determined described determining unit 403.
In the embodiment of the present invention, each functional unit of picture processing device realizes the detailed process of respective function, refer to aforementioned embodiment illustrated in fig. 2 in specific descriptions, repeat no more herein.
In the embodiment of the present invention, acquiring unit 401 is according to the pending picture of picture processing acquisition request, selected cell 402 is that at least one color space selected by described pending picture, at least one color value that each pixel that acquiring unit 401 obtains this pending picture adopts this at least one color space to describe, determining unit 403 determines pending region according to this color value, processing unit 404 processes this pending region, thus specific aim process can be done to this pending region, improve picture processing efficiency and treatment effect.
Refer to Fig. 5, another embodiment of the picture processing device in the embodiment of the present invention comprises:
Acquiring unit 501, for according to the pending picture of picture processing acquisition request;
Selected cell 502, selects at least one color space for the described pending picture obtained for described acquiring unit 501;
Described acquiring unit 501, at least one color value that each pixel also for obtaining described pending picture adopts this at least one color space to describe;
Determining unit 503, determine pending region for this color value obtained according to described acquiring unit 501, in described pending region, at least one color value of each pixel is in predetermined scope; And
Processing unit 504, processes for this pending region determined described determining unit 503.
In the present embodiment, this at least one color space comprises: RGB color space, YCbCr color space, hsv color space and combination in any thereof.
This at least one color value is: the R value of RGB color space and B value, the Cr value of YCbCr color space, the H value in hsv color space and combination in any thereof.
Further, this determining unit 503, also for by the R value of this RGB color space standards between 0.4 to 0.5, B value is between 0.15 to 0.3, the Cr value of YCbCr color space is between 133 to 173, and the region of H value between 0 to 50 in hsv color space is defined as pending region;
This processing unit 504, landscaping treatment is carried out in the pending region also for this determining unit 503 being determined.
Further, this processing unit 504, the landscaping treatment that also for this picture is carried out preposition landscaping treatment, this preposition landscaping treatment comprises illumination to this picture, colour temperature, brightness, saturation are carried out.
Picture processing device in the embodiment of the present invention also comprises:
Display unit 505, carries out the picture after landscaping treatment for showing to this pending region.
Further, this display unit 505, also for the Show Button in interface.Picture processing request is triggered when detecting that this button is clicked or press.
In the embodiment of the present invention, each functional unit of picture processing device realizes the detailed process of respective function, refer to earlier figures 2 and embodiment illustrated in fig. 3 in specific descriptions, repeat no more herein.
In the embodiment of the present invention, acquiring unit 501 is according to the pending picture of picture processing acquisition request, processing unit 504 comprises illumination to this pending picture, colour temperature, brightness, the landscaping treatment of saturation, the treatment effeciency to picture can be improved, selected cell 502 is that RGB color space selected by described pending picture, YCbCr color space, at least one color space in hsv color space and combination in any thereof, acquiring unit 501 obtains R value and the B value of RGB color space corresponding to each pixel of this pending picture, the Cr value of YCbCr color space, at least one color value in the H value in hsv color space, determining unit 503 determines the skin area of pending people according to this color value, processing unit 504 carries out a key whitening process to the skin area of this pending people, thus specific aim process can be done to the skin area of the personage in picture, further raising is to the treatment effeciency of skin area in picture and treatment effect.
It should be noted that, each embodiment in this specification all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.For device class embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
It should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or device and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or device.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the device comprising described key element and also there is other identical element.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be read-only memory, disk or CD etc.
The above, it is only preferred embodiment of the present invention, not any pro forma restriction is done to the present invention, although the present invention discloses as above with preferred embodiment, but and be not used to limit the present invention, any those skilled in the art, do not departing within the scope of technical solution of the present invention, make a little change when the technology contents of above-mentioned announcement can be utilized or be modified to the Equivalent embodiments of equivalent variations, in every case be do not depart from technical solution of the present invention content, according to any simple modification that technical spirit of the present invention is done above embodiment, equivalent variations and modification, all still belong in the scope of technical solution of the present invention.
Claims (10)
1. an image processing method, is characterized in that, comprising:
According to the picture that picture processing acquisition request is pending;
For at least one color space selected by described pending picture;
Obtain each pixel of described pending picture, adopt at least one color value that this at least one color space describes;
Determine pending region according to this color value, in described pending region, at least one color value of each pixel is in predetermined scope; And
This pending region is processed.
2. method according to claim 1, is characterized in that, this at least one color space comprises: one of RGB color space, YCbCr color space, hsv color space are any or its combination in any.
3. method according to claim 2, is characterized in that, this at least one color value is: one of the Cr value of the R value of RGB color space and B value, YCbCr color space, the H value in hsv color space are any or its combination in any.
4. method according to claim 3, is characterized in that, describedly determines pending region according to this color value, and carries out process to this pending region and comprise:
By the R value of this RGB color space standards between 0.4 to 0.5, B value is between 0.15 to 0.3, the Cr value of YCbCr color space is between 133 to 173, the region of H value between 0 to 50 in hsv color space is defined as pending skin area, and carries out landscaping treatment to this pending skin area.
5. method according to claim 1, is characterized in that, comprises before at least one color value that each pixel of the described pending picture of described acquisition adopts this at least one color space to describe:
Described picture is carried out preposition landscaping treatment, described preposition landscaping treatment comprises illumination to described picture, landscaping treatment that colour temperature, brightness, saturation are carried out.
6. a picture processing device, is characterized in that, comprising:
Acquiring unit, for according to the pending picture of picture processing acquisition request;
Selected cell, selects at least one color space for the described pending picture obtained for described acquiring unit;
Described acquiring unit, at least one color value that each pixel also for obtaining described pending picture adopts this at least one color space to describe;
Determining unit, determines pending region for this color value obtained according to described acquiring unit, and in described pending region, at least one color value of each pixel is in predetermined scope; And
Processing unit, processes for this pending region determined described determining unit.
7. device according to claim 6, is characterized in that, this at least one color space comprises: one of RGB color space, YCbCr color space, hsv color space are any or its combination in any.
8. device according to claim 7, is characterized in that,
This at least one color value is: one of the Cr value of the R value of RGB color space and B value, YCbCr color space, the H value in hsv color space are any or its combination in any.
9. device according to claim 8, is characterized in that,
Described determining unit, also for by the R value of this RGB color space standards between 0.4 to 0.5, B value is between 0.15 to 0.3, and the Cr value of YCbCr color space is between 133 to 173, and the region of H value between 0 to 50 in hsv color space is defined as pending region;
Described processing unit, landscaping treatment is carried out in the pending region also for described determining unit being determined.
10. device according to claim 9, is characterized in that,
Described processing unit, the landscaping treatment that also for described picture is carried out preposition landscaping treatment, described preposition landscaping treatment comprises illumination to described picture, colour temperature, brightness, saturation are carried out.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310495619.XA CN104581103B (en) | 2013-10-21 | 2013-10-21 | A kind of image processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310495619.XA CN104581103B (en) | 2013-10-21 | 2013-10-21 | A kind of image processing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104581103A true CN104581103A (en) | 2015-04-29 |
| CN104581103B CN104581103B (en) | 2018-04-27 |
Family
ID=53096179
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310495619.XA Active CN104581103B (en) | 2013-10-21 | 2013-10-21 | A kind of image processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104581103B (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105375392A (en) * | 2015-12-04 | 2016-03-02 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Helicopter power line inspection realization method and realization system |
| CN106611402A (en) * | 2015-10-23 | 2017-05-03 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN107592517A (en) * | 2017-09-21 | 2018-01-16 | 青岛海信电器股份有限公司 | A kind of method and device of colour of skin processing |
| CN108171648A (en) * | 2017-11-27 | 2018-06-15 | 北京美摄网络科技有限公司 | A kind of method and apparatus of U.S.'s face skin color transition |
| CN108492348A (en) * | 2018-03-30 | 2018-09-04 | 北京金山安全软件有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
| CN109712177A (en) * | 2018-12-25 | 2019-05-03 | Oppo广东移动通信有限公司 | Image processing method, device, electronic equipment and computer readable storage medium |
| CN110473263A (en) * | 2018-05-09 | 2019-11-19 | 北京京东尚科信息技术有限公司 | The checking method of picture, device and system |
| CN111369470A (en) * | 2020-03-10 | 2020-07-03 | 昇显微电子(苏州)有限公司 | Image area tone adjusting method, device, storage medium and equipment |
| CN111831193A (en) * | 2020-07-27 | 2020-10-27 | 北京思特奇信息技术股份有限公司 | Automatic skin changing method, device, electronic equipment and storage medium |
| CN111369470B (en) * | 2020-03-10 | 2024-05-31 | 昇显微电子(苏州)股份有限公司 | Image area tone adjustment method, device, storage medium and apparatus |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080043033A1 (en) * | 2006-08-15 | 2008-02-21 | Lsi Logic Corporation | Contour free point operation for video skin tone correction |
| CN101287134A (en) * | 2008-05-28 | 2008-10-15 | 四川虹微技术有限公司 | Adaptive flesh colour compensation method |
| CN101706874A (en) * | 2009-12-25 | 2010-05-12 | 青岛朗讯科技通讯设备有限公司 | Method for face detection based on features of skin colors |
| CN103325089A (en) * | 2012-03-21 | 2013-09-25 | 腾讯科技（深圳）有限公司 | Method and device for processing skin color in image |
-
2013
- 2013-10-21 CN CN201310495619.XA patent/CN104581103B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080043033A1 (en) * | 2006-08-15 | 2008-02-21 | Lsi Logic Corporation | Contour free point operation for video skin tone correction |
| CN101287134A (en) * | 2008-05-28 | 2008-10-15 | 四川虹微技术有限公司 | Adaptive flesh colour compensation method |
| CN101706874A (en) * | 2009-12-25 | 2010-05-12 | 青岛朗讯科技通讯设备有限公司 | Method for face detection based on features of skin colors |
| CN103325089A (en) * | 2012-03-21 | 2013-09-25 | 腾讯科技（深圳）有限公司 | Method and device for processing skin color in image |
Non-Patent Citations (3)
| Title |
|---|
| 杨敏等: "肤色检测中的颜色空间", 《福建电脑》 * |
| 田巍等: "基于HSV色彩空间的自适应肤色检测", 《计算机工程与应用》 * |
| 陶霖密等: "人体的肤色特征", 《软件学报》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106611402B (en) * | 2015-10-23 | 2019-06-14 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN106611402A (en) * | 2015-10-23 | 2017-05-03 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN105375392A (en) * | 2015-12-04 | 2016-03-02 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Helicopter power line inspection realization method and realization system |
| CN107592517A (en) * | 2017-09-21 | 2018-01-16 | 青岛海信电器股份有限公司 | A kind of method and device of colour of skin processing |
| CN107592517B (en) * | 2017-09-21 | 2020-03-24 | 青岛海信电器股份有限公司 | Skin color processing method and device |
| CN108171648A (en) * | 2017-11-27 | 2018-06-15 | 北京美摄网络科技有限公司 | A kind of method and apparatus of U.S.'s face skin color transition |
| CN108171648B (en) * | 2017-11-27 | 2021-09-03 | 北京美摄网络科技有限公司 | Method and device for changing beauty and skin color |
| CN108492348A (en) * | 2018-03-30 | 2018-09-04 | 北京金山安全软件有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
| CN110473263A (en) * | 2018-05-09 | 2019-11-19 | 北京京东尚科信息技术有限公司 | The checking method of picture, device and system |
| CN109712177A (en) * | 2018-12-25 | 2019-05-03 | Oppo广东移动通信有限公司 | Image processing method, device, electronic equipment and computer readable storage medium |
| CN109712177B (en) * | 2018-12-25 | 2021-07-09 | Oppo广东移动通信有限公司 | Image processing method, image processing device, electronic equipment and computer readable storage medium |
| CN111369470A (en) * | 2020-03-10 | 2020-07-03 | 昇显微电子(苏州)有限公司 | Image area tone adjusting method, device, storage medium and equipment |
| CN111369470B (en) * | 2020-03-10 | 2024-05-31 | 昇显微电子(苏州)股份有限公司 | Image area tone adjustment method, device, storage medium and apparatus |
| CN111831193A (en) * | 2020-07-27 | 2020-10-27 | 北京思特奇信息技术股份有限公司 | Automatic skin changing method, device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104581103B (en) | 2018-04-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104581103A (en) | Image processing method and device | |
| US11277595B2 (en) | White balance method for image and terminal device | |
| CN107909553B (en) | Image processing method and device | |
| CA2975180C (en) | Method and device for decoding a color picture | |
| KR102367205B1 (en) | Method and device for encoding both a hdr picture and a sdr picture obtained from said hdr picture using color mapping functions | |
| CN108293124A (en) | The coding of picture in video | |
| CN105828058B (en) | A kind of method of adjustment and device of white balance | |
| CN107077830B (en) | Screen brightness adjusting method suitable for unmanned aerial vehicle control end and unmanned aerial vehicle control end | |
| US8064693B2 (en) | Methods of and apparatus for adjusting colour saturation in an input image | |
| KR101985880B1 (en) | Display device and control method thereof | |
| CN111899182A (en) | Color enhancement method and device | |
| CN113132696A (en) | Image tone mapping method, device, electronic equipment and storage medium | |
| WO2020119454A1 (en) | Method and apparatus for color reproduction of image | |
| KR20190073516A (en) | Image processing apparatus, digital camera, image processing program, and recording medium | |
| CN106408617B (en) | Interactive single image material obtaining system and method based on YUV color space | |
| CN114449199A (en) | Video processing method and device, electronic equipment and storage medium | |
| CN106331663B (en) | A kind of interaction material acquisition system and method for portable equipment | |
| CN108205795A (en) | Face image processing process and system during a kind of live streaming | |
| US8390699B2 (en) | Opponent color detail enhancement for saturated colors | |
| CN114999363A (en) | Color shift correction method, device, equipment, storage medium and program product | |
| WO2022032666A1 (en) | Image processing method and related apparatus | |
| CN103167183B (en) | Translucent camera aperture processing method, system and mobile terminal | |
| CN106295587A (en) | A kind of video interested region quick calibrating method and device | |
| JP2018507618A (en) | Method and apparatus for encoding and decoding color pictures | |
| CN117408872B (en) | Color image data conversion method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |