CN104881853A - Skin color rectification method and system based on color conceptualization - Google Patents
Skin color rectification method and system based on color conceptualization Download PDFInfo
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- CN104881853A CN104881853A CN201510280619.7A CN201510280619A CN104881853A CN 104881853 A CN104881853 A CN 104881853A CN 201510280619 A CN201510280619 A CN 201510280619A CN 104881853 A CN104881853 A CN 104881853A
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Abstract
The invention discloses a skin color rectification method and system based on color conceptualization; the method comprises the following steps: carrying out face identification for a to-be processed image so as to obtain a face area; carrying out brightness assessment for identified face area; carrying out further brightness enhance processing for the to-be processed image if an assessment result is a dark image; using a color conceptualization algorithm to carry out tone statistics for pixel points in the face area; calculating color transmission parameters according to a tone statistics result; finally using the color transmission parameters to convert an original skin color of the to-be processed image into an expected skin color, thus obtaining an effect image. The skin color rectification method and system are good in effect, more natural and stable, high in running efficiency, can realize real time beauty treatment effect, and can be applied to a mobile phone, camera or APP scenes, thus realizing real time beauty treatment or image beauty treatment functions.
Description
Technical field
The present invention relates to technical field of image processing, particularly the system of a kind of colour of skin antidote based on color generalities and application the method thereof.
Background technology
In recent years, along with developing rapidly of electronic product, mobile phone has been not content with and has only been used as communication tool, present intelligent machine already in conjunction with communication, social activity, amusement, learn and to take pictures etc. function with all over the body.Especially camera function, constantly approaches camera level, so autodyned into vast electronic product user---particularly common in female life activity.In order to improve auto heterodyne effect, allow people take more beautiful photo, various image beauty treatment algorithm arises at the historic moment, and many Internet enterprises are also devoted to the APP researching and developing the beauty treatment of various image, are supplied to user and use.
The algorithm of color generalities (Color Conceptualization) is expanding and extending of color pass-algorithm.Wherein, " generalities " refer to the some tone distributed models by extracting after carrying out cluster to great amount of images, namely color generalities are the adjustment distributed to the tone of input picture, make itself and the template image of specifying have similar tone to distribute, thus there is identical atmosphere, if but traditional color generalities algorithm directly applies to image beauty treatment, particularly be applied to the colour of skin to correct, the incoherent problem of easy generation color, cause the integral color of the colour of skin and image to be separated, make the image after beautifying produce the effect of distortion.
Summary of the invention
The present invention, for solving the problem, provides a kind of colour of skin antidote based on color generalities and system, and by carrying out pre-service to traditional color generalities algorithm and improving process, the effect after the colour of skin is corrected is more natural.
For achieving the above object, the technical solution used in the present invention is:
Based on a colour of skin antidote for color generalities, it is characterized in that, comprise the following steps:
10. pair pending image carries out recognition of face, obtains human face region;
20. pairs of human face regions recognized carry out luminance evaluation;
According to luminance evaluation result, 30. judge whether pending image is dark figure, if dark figure then carries out brightness to pending image further strengthen process;
40. utilize color generalities algorithm to carry out hue statistical to the pixel of described human face region, and calculate color Transfer Parameters according to hue statistical result;
Human face region described in 50. pairs carries out skin color model, obtains the original colour of skin, and the color Transfer Parameters described in recycling converts the described original colour of skin to the expectation colour of skin, obtains effect image.
Preferably, in described step 10, recognition of face is carried out to pending image and obtain human face region, mainly obtained the approximate region position of face by the location of face characteristic, and the rectangle frame obtaining surrounding face is as pending human face region.
Preferably, in described step 20, luminance evaluation is carried out to the human face region recognized, the mode of traversal is mainly adopted to access each pixel of described human face region, and add up the number of the pixel in each gray level, thus calculate the grey level histogram of human face region, then from each of 0 to 127 cumulative histogram, and the ratio of the cumulative rear histogrammic total grey scale pixel value of calculating and cumulative front histogrammic total grey scale pixel value, ratio is greater than 0.5, then illustrate it is dark figure, otherwise be not then dark figure.
Preferably, in described step 30, brightness is carried out to pending image and strengthen process, mainly adopt following one or more the combination strengthened in disposal route: histogram equalization, Retinex strengthen or Poisson equation strengthens.
Preferably, color generalities algorithm is utilized to carry out hue statistical to the pixel of described human face region in described step 40, mainly the color value of the pixel of described human face region is converted to HSV color space from rgb color space, and statistics with histogram is carried out to the color value of the H passage of each pixel, obtain hue histogram.
Preferably, color Transfer Parameters is calculated according to hue statistical result in described 40, described hue histogram is mainly utilized to calculate its Cumulate Sum function, and utilize Cumulate Sum function to carry out fitted Gaussian distribution, obtain the average in Gaussian function and variance, using this average and variance as color Transfer Parameters.
Preferably, described color Transfer Parameters is utilized to convert the described original colour of skin to the expectation colour of skin in described step 50, mainly expect average corresponding to the colour of skin and variance by presetting, the average of the H passage corresponding to the original colour of skin calculated in step 40 and variance are replaced with the average corresponding to the default expectation colour of skin and variance, again the color value of the pixel of described human face region is converted to rgb color space from HSV color space, obtains effect image.
In addition, present invention also offers a kind of colour of skin correction system based on color generalities, it is characterized in that, it comprises:
Face recognition module, it carries out recognition of face to pending image, obtains human face region;
Luminance evaluation module, it carries out luminance evaluation to the human face region recognized;
Luminance enhancement module, it is judging that according to luminance evaluation result pending image strengthens process as carrying out brightness to pending image further during dark figure;
Color generalities module, it utilizes color generalities algorithm to carry out hue statistical to the pixel of described human face region, and calculates color Transfer Parameters according to hue statistical result;
Colour of skin rectification module, it carries out skin color model to described human face region, obtains the original colour of skin, and the color Transfer Parameters described in recycling converts the described original colour of skin to the expectation colour of skin, obtains effect image.
The invention has the beneficial effects as follows:
A kind of colour of skin antidote based on color generalities of the present invention and system, it obtains human face region by carrying out recognition of face to pending image, and luminance evaluation is carried out to the human face region recognized, if assessment result is dark figure, further brightness is carried out to pending image and strengthen process, then color generalities algorithm is utilized to carry out hue statistical to the pixel of described human face region, and calculate color Transfer Parameters according to hue statistical result, described color Transfer Parameters is finally utilized to convert the original colour of skin of pending image to the expectation colour of skin, obtain effect image, the present invention, by carrying out pre-service to pending image, carries out brightness enhancing to the dark figure under the low light level, and the effect after the colour of skin is corrected and ambient brightness effect match, and make image more natural, colour of skin rectification is carried out by the algorithm of color generalities, better effects if is more stable, and overcome the limitation of the linear transformation of traditional colour of skin beauty treatment algorithm, by color generalities algorithm, the colour of skin is converted to default expectation tone from any one tone, operational efficiency is higher, the effect of in real time beauty treatment can be reached, be applicable to applying in the scenes such as mobile phone, camera or APP, realize beauty treatment in real time or to functions such as image beauty treatments.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms a part of the present invention, and schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the general flow chart of a kind of colour of skin antidote based on color generalities of the present invention;
Fig. 2 is the structural representation of a kind of colour of skin correction system based on color generalities of the present invention.
Embodiment
In order to make technical matters to be solved by this invention, technical scheme and beneficial effect clearly, understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, a kind of colour of skin antidote based on color generalities of the present invention, it comprises the following steps:
10. pair pending image carries out recognition of face, obtains human face region;
20. pairs of human face regions recognized carry out luminance evaluation;
According to luminance evaluation result, 30. judge whether pending image is dark figure, if dark figure then carries out brightness to pending image further strengthen process;
40. utilize color generalities algorithm to carry out hue statistical to the pixel of described human face region, and calculate color Transfer Parameters according to hue statistical result;
Human face region described in 50. pairs carries out skin color model, obtains the original colour of skin, and the color Transfer Parameters described in recycling converts the described original colour of skin to the expectation colour of skin, obtains effect image.
In described step 10, recognition of face is carried out to pending image and obtain human face region, mainly obtained the approximate region position of face by the location of face characteristic, and the rectangle frame obtaining surrounding face is as pending human face region; Wherein the algorithm of recognition of face mainly adopts prior art, such as, based on the recognizer of human face characteristic point, based on the recognizer of view picture facial image, based on the recognizer of template, utilizes neural network to carry out the algorithm identified, etc., do not repeat here.
In described step 20, luminance evaluation is carried out to the human face region recognized, the mode of traversal is mainly adopted to access each pixel of described human face region in the present embodiment, and add up the number of the pixel in each gray level, thus calculate the grey level histogram of human face region, then from each of 0 to 127 cumulative histogram, and the ratio of the cumulative rear histogrammic total grey scale pixel value of calculating and cumulative front histogrammic total grey scale pixel value, ratio is greater than 0.5, then illustrate it is dark figure, otherwise be not then dark figure.
In described step 30, brightness is carried out to pending image and strengthen process, mainly adopt following one or more the combination strengthened in disposal route: histogram equalization, Retinex strengthen or Poisson equation strengthens, and are preferably Retinex Enhancement Method in the present embodiment.
Color generalities algorithm is utilized to carry out hue statistical to the pixel of described human face region in described step 40, mainly the color value of the pixel of described human face region is converted to HSV color space from rgb color space, and statistics with histogram is carried out to the color value of the H passage of each pixel, obtain hue histogram; Color Transfer Parameters is calculated according to hue statistical result in described 40, described hue histogram is mainly utilized to calculate its Cumulate Sum function, and utilize Cumulate Sum function to carry out fitted Gaussian distribution, obtain the average in Gaussian function and variance, using this average and variance as color Transfer Parameters.
In the present embodiment, the computing formula of hue statistical is as follows:
Wherein, H (p), S (p), V (p) are respectively tone value, saturation degree, the brightness value of the pixel p in the human face region of pending image; I is integer and i ∈ [1,360].
Described color Transfer Parameters is utilized to convert the described original colour of skin to the expectation colour of skin in described step 50, mainly expect average corresponding to the colour of skin and variance by presetting, the average of the H passage corresponding to the original colour of skin calculated in step 40 and variance are replaced with the average corresponding to the default expectation colour of skin and variance, again the color value of the pixel of described human face region is converted to rgb color space from HSV color space, obtains effect image.
It should be noted that, in described step 50, skin color model is carried out to described human face region and obtain the original colour of skin, be not need to perform in strict accordance with number of steps order, also can perform in any one step before step 50, such as, after obtaining human face region in step 10, directly carry out skin color model.
As shown in Figure 2, present invention also offers a kind of colour of skin correction system based on color generalities, it comprises:
Face recognition module A, it carries out recognition of face to pending image, obtains human face region;
Luminance evaluation module B, it carries out luminance evaluation to the human face region recognized;
Luminance enhancement module C, it is judging that according to luminance evaluation result pending image strengthens process as carrying out brightness to pending image further during dark figure;
Color generalities module D, it utilizes color generalities algorithm to carry out hue statistical to the pixel of described human face region, and calculates color Transfer Parameters according to hue statistical result;
Colour of skin rectification module E, it carries out skin color model to described human face region, obtains the original colour of skin, and the color Transfer Parameters described in recycling converts the described original colour of skin to the expectation colour of skin, obtains effect image.
It should be noted that, each embodiment in this instructions 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 system 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.And, in this article, 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 equipment 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 equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.In addition, 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 ROM (read-only memory), disk or CD etc.
Above-mentioned explanation illustrate and describes the preferred embodiments of the present invention, be to be understood that the present invention is not limited to the form disclosed by this paper, should not regard the eliminating to other embodiments as, and can be used for other combinations various, amendment and environment, and can in invention contemplated scope herein, changed by the technology of above-mentioned instruction or association area or knowledge.And the change that those skilled in the art carry out and change do not depart from the spirit and scope of the present invention, then all should in the protection domain of claims of the present invention.
Claims (8)
1., based on a colour of skin antidote for color generalities, it is characterized in that, comprise the following steps:
10. pair pending image carries out recognition of face, obtains human face region;
20. pairs of human face regions recognized carry out luminance evaluation;
According to luminance evaluation result, 30. judge whether pending image is dark figure, if dark figure then carries out brightness to pending image further strengthen process;
40. utilize color generalities algorithm to carry out hue statistical to the pixel of described human face region, and calculate color Transfer Parameters according to hue statistical result;
Human face region described in 50. pairs carries out skin color model, obtains the original colour of skin, and the color Transfer Parameters described in recycling converts the described original colour of skin to the expectation colour of skin, obtains effect image.
2. a kind of colour of skin antidote based on color generalities according to claim 1, it is characterized in that: in described step 10, recognition of face is carried out to pending image and obtain human face region, mainly obtained the approximate region position of face by the location of face characteristic, and the rectangle frame obtaining surrounding face is as pending human face region.
3. a kind of colour of skin antidote based on color generalities according to claim 1, it is characterized in that: in described step 20, luminance evaluation is carried out to the human face region recognized, the mode of traversal is mainly adopted to access each pixel of described human face region, and add up the number of the pixel in each gray level, thus calculate the grey level histogram of human face region, then from each of 0 to 127 cumulative histogram, and the ratio of the cumulative rear histogrammic total grey scale pixel value of calculating and cumulative front histogrammic total grey scale pixel value, ratio is greater than 0.5, then illustrate it is dark figure, otherwise not then dark figure.
4. a kind of colour of skin antidote based on color generalities according to claim 1, it is characterized in that: in described step 30, brightness is carried out to pending image and strengthen process, mainly adopt following one or more the combination strengthened in disposal route: histogram equalization, Retinex strengthen or Poisson equation strengthens.
5. a kind of colour of skin antidote based on color generalities according to claim 1, it is characterized in that: in described step 40, utilize color generalities algorithm to carry out hue statistical to the pixel of described human face region, mainly the color value of the pixel of described human face region is converted to HSV color space from rgb color space, and statistics with histogram is carried out to the color value of the H passage of each pixel, obtain hue histogram.
6. a kind of colour of skin antidote based on color generalities according to claim 5, it is characterized in that: in described 40, calculate color Transfer Parameters according to hue statistical result, described hue histogram is mainly utilized to calculate its Cumulate Sum function, and utilize Cumulate Sum function to carry out fitted Gaussian distribution, obtain the average in Gaussian function and variance, using this average and variance as color Transfer Parameters.
7. a kind of colour of skin antidote based on color generalities according to claim 6, it is characterized in that: in described step 50, utilize described color Transfer Parameters to convert the described original colour of skin to the expectation colour of skin, mainly expect average corresponding to the colour of skin and variance by presetting, the average of the H passage corresponding to the original colour of skin calculated in step 40 and variance are replaced with the average corresponding to the default expectation colour of skin and variance, again the color value of the pixel of described human face region is converted to rgb color space from HSV color space, obtains effect image.
8., based on a colour of skin correction system for color generalities, it is characterized in that, it comprises:
Face recognition module, it carries out recognition of face to pending image, obtains human face region;
Luminance evaluation module, it carries out luminance evaluation to the human face region recognized;
Luminance enhancement module, it is judging that according to luminance evaluation result pending image strengthens process as carrying out brightness to pending image further during dark figure;
Color generalities module, it utilizes color generalities algorithm to carry out hue statistical to the pixel of described human face region, and calculates color Transfer Parameters according to hue statistical result;
Colour of skin rectification module, it carries out skin color model to described human face region, obtains the original colour of skin, and the color Transfer Parameters described in recycling converts the described original colour of skin to the expectation colour of skin, obtains effect image.
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