CN104952036A - Facial beautification method and electronic equipment in real-time video - Google Patents
Facial beautification method and electronic equipment in real-time video Download PDFInfo
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- CN104952036A CN104952036A CN201510340857.2A CN201510340857A CN104952036A CN 104952036 A CN104952036 A CN 104952036A CN 201510340857 A CN201510340857 A CN 201510340857A CN 104952036 A CN104952036 A CN 104952036A
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000001815 facial effect Effects 0.000 title abstract 5
- 238000001914 filtration Methods 0.000 claims abstract description 52
- 230000002146 bilateral effect Effects 0.000 claims abstract description 10
- 238000001514 detection method Methods 0.000 claims abstract description 10
- 230000008569 process Effects 0.000 claims description 19
- 238000005070 sampling Methods 0.000 claims description 18
- 230000004927 fusion Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 4
- 208000002874 Acne Vulgaris Diseases 0.000 description 1
- 206010000496 acne Diseases 0.000 description 1
- 230000003255 anti-acne Effects 0.000 description 1
- 239000002537 cosmetic Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002087 whitening effect Effects 0.000 description 1
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Abstract
The invention relates to a facial beautification method and electronic equipment in a real-time video. The facial beautification method comprises the steps of obtaining video frames through a camera; determining skin color areas and non-skin color areas through skin color detection, respectively converting an original image into HSV (Hue-Saturation-Value) and RGB (Red-Green-Blue) spaces, determining areas within a range threshold of limited skin color in the HSV and RGB color spaces as the skin color areas and other areas as the non-skin-color areas, and separating the skin areas from the image; integrally performing pyramid bilateral filtering on the original image, wherein noisy points are considered if a certain threshold is exceeded, and performing medium filtering on the noisy points; directly replacing the skin areas in the original image with images after filtering, and fusing the original image and the images after filtering by the non-skin color areas. By adopting the facial beautification method, the skin color of figures in the video is obviously beautified, the facial beautification efficiency in the real-time video is improved, and the user experience effect is increased.
Description
[technical field]
The present invention relates to image technique field, the method for beautifying faces particularly in a kind of instant video and electronic equipment.
[background technology]
On intelligent terminal (such as mobile phone, PAD), there is a lot of image cosmetic applications at present, having beautified operation for carrying out picture: ground skin, anti-acne, thin face, whitening, de-black eyelet, remove pouch, go mole, remove the cosmetology functions such as acne print.
Existing image beautifies technology, and great majority are based on still image, is not also applied to and carries out real-time landscaping treatment to the dynamic image of video file.Along with instant video application on mobile terminals universal, make increasing user should be used for realizing by instant video and mutual between other people.But due to the limitation of mobile terminal device and the impact of interaction scenarios imaging environment, cause the second-rate of instant video, the face image quality especially in instant video is poor, so need to provide the method for beautifying faces in a kind of instant video.
[summary of the invention]
Technical matters to be solved by this invention is to provide the method for beautifying faces in a kind of instant video and electronic equipment, improves the efficiency of beautifying faces in instant video, adding users experience effect.
The present invention adopts following technical scheme:
A method for beautifying faces in instant video, described method comprises:
Frame of video is obtained by camera;
By Face Detection determination area of skin color and non-area of skin color, original image is transformed into respectively in HSV and rgb space, according to the range threshold of the restriction colour of skin on HSV and RGB two color spaces, area of skin color is regarded as in scope, other be non-area of skin color, skin area is separated from image;
Pyramid bilateral filtering is carried out for original image entirety, namely first former figure is carried out multiple dimensioned down-sampling, generate down-sampling figure and guiding figure corresponding to each yardstick, filtering is carried out to the picture of smallest dimension, and the picture by guiding figure to release last yardstick, iteration finally draws the filtered image of former figure layer by layer, the fuzzy parameter that when carrying out filtering, setting is less and template size, then in area of skin color by for current pixel and the difference of pixel in certain limit around it, if be greater than certain threshold value just think noise, medium filtering is carried out again for noise,
Directly replaced by image after the area of skin color filtering process of former figure, former figure and filtered image merge by non-area of skin color by a certain percentage.
Further, former figure and filtered image merge by described non-area of skin color by a certain percentage, are that 1/2nd and 1/2nd of filtered image of former figure merges mutually and obtains gained image, then carry out emergence process in edge and obtain final image.
A kind of electronic equipment, described equipment comprises:
Frame of video acquisition module: obtain frame of video by camera;
Colour of skin discriminating module: by Face Detection determination area of skin color and non-area of skin color, original image is transformed into respectively in HSV and rgb space, according to the range threshold of the restriction colour of skin on HSV and RGB two color spaces, area of skin color is regarded as in scope, other be non-area of skin color, skin area is separated from image;
Filtration module: pyramid bilateral filtering is carried out for original image entirety, namely first former figure is carried out multiple dimensioned down-sampling, generate down-sampling figure and guiding figure corresponding to each yardstick, filtering is carried out to the picture of smallest dimension, and the picture by guiding figure to release last yardstick, iteration finally draws the filtered image of former figure layer by layer, the fuzzy parameter that when carrying out filtering, setting is less and template size, then in area of skin color by for current pixel and the difference of pixel in certain limit around it, if be greater than certain threshold value just think noise, medium filtering is carried out again for noise,
Fusion Module: directly replaced by the image after the area of skin color filtering process of former figure, former figure and filtered image merge by non-area of skin color by a certain percentage.
Further, former figure and filtered image merge by described non-area of skin color by a certain percentage, are that 1/2nd and 1/2nd of filtered image of former figure merges mutually and obtains gained image, then carry out emergence process in edge and obtain final image.
A kind of electronic equipment, the processor comprising display screen, sending module, receiver module, storer and be connected with described display screen, described sending module, described receiver module, described storer respectively, wherein, batch processing code is stored in described storer, described processor, for calling the program code stored in described storer, performs following operation:
Frame of video is obtained by camera;
By Face Detection determination area of skin color and non-area of skin color, original image is transformed into respectively in HSV and rgb space, according to the range threshold of the restriction colour of skin on HSV and RGB two color spaces, area of skin color is regarded as in scope, other be non-area of skin color, skin area is separated from image;
Pyramid bilateral filtering is carried out for original image entirety, namely first former figure is carried out multiple dimensioned down-sampling, generate down-sampling figure and guiding figure corresponding to each yardstick, filtering is carried out to the picture of smallest dimension, and the picture by guiding figure to release last yardstick, iteration finally draws the filtered image of former figure layer by layer, the fuzzy parameter that when carrying out filtering, setting is less and template size, then in area of skin color by for current pixel and the difference of pixel in certain limit around it, if be greater than certain threshold value just think noise, medium filtering is carried out again for noise,
Directly replaced by image after the area of skin color filtering process of former figure, former figure and filtered image merge by non-area of skin color by a certain percentage.
Further, former figure and filtered image merge by described non-area of skin color by a certain percentage, are that 1/2nd and 1/2nd of filtered image of former figure merges mutually and obtains gained image, then carry out emergence process in edge and obtain final image.
The invention has the advantages that: the video personage colour of skin is obviously beautified, and improves the efficiency of beautifying faces in instant video, adds Consumer's Experience effect.
[accompanying drawing explanation]
The invention will be further described in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the method for beautifying faces process flow diagram of instant video of the present invention.
[embodiment]
As shown in Figure 1, the method for beautifying faces in a kind of instant video, described method comprises:
Frame of video is obtained by camera;
By Face Detection determination area of skin color and non-area of skin color, original image is transformed into respectively in HSV and rgb space, according to the range threshold of the restriction colour of skin on HSV and RGB two color spaces, area of skin color is regarded as in scope, other be non-area of skin color, skin area is separated from image;
Pyramid bilateral filtering is carried out for original image entirety, namely first former figure is carried out multiple dimensioned down-sampling, generate down-sampling figure and guiding figure corresponding to each yardstick, filtering is carried out to the picture of smallest dimension, and the picture by guiding figure to release last yardstick, iteration finally draws the filtered image of former figure layer by layer, the fuzzy parameter that when carrying out filtering, setting is less and template size, then in area of skin color by for current pixel and the difference of pixel in certain limit around it, if be greater than certain threshold value just think noise, medium filtering is carried out again for noise,
Directly replaced by image after the area of skin color filtering process of former figure, former figure and filtered image merge by non-area of skin color by a certain percentage.
Preferably, former figure and filtered image merge by described non-area of skin color by a certain percentage, are that 1/2nd and 1/2nd of filtered image of former figure merges mutually and obtains gained image, then carry out emergence process in edge and obtain final image.
The embodiment of the present invention also provides a kind of electronic equipment, and described equipment comprises:
Frame of video acquisition module: obtain frame of video by camera;
Colour of skin discriminating module: by Face Detection determination area of skin color and non-area of skin color, original image is transformed into respectively in HSV and rgb space, according to the range threshold of the restriction colour of skin on HSV and RGB two color spaces, area of skin color is regarded as in scope, other be non-area of skin color, skin area is separated from image;
Filtration module: pyramid bilateral filtering is carried out for original image entirety, namely first former figure is carried out multiple dimensioned down-sampling, generate down-sampling figure and guiding figure corresponding to each yardstick, filtering is carried out to the picture of smallest dimension, and the picture by guiding figure to release last yardstick, iteration finally draws the filtered image of former figure layer by layer, the fuzzy parameter that when carrying out filtering, setting is less and template size, then in area of skin color by for current pixel and the difference of pixel in certain limit around it, if be greater than certain threshold value just think noise, medium filtering is carried out again for noise,
Fusion Module: directly replaced by the image after the area of skin color filtering process of former figure, former figure and filtered image merge by non-area of skin color by a certain percentage.
Preferably, former figure and filtered image merge by described non-area of skin color by a certain percentage, are that 1/2nd and 1/2nd of filtered image of former figure merges mutually and obtains gained image, then carry out emergence process in edge and obtain final image.
The embodiment of the present invention also provides a kind of electronic equipment, described equipment comprises: the processor comprising display screen, sending module, receiver module, storer and be connected with described display screen, described sending module, described receiver module, described storer respectively, wherein, batch processing code is stored in described storer, described processor, for calling the program code stored in described storer, performs following operation:
Frame of video is obtained by camera;
By Face Detection determination area of skin color and non-area of skin color, original image is transformed into respectively in HSV and rgb space, according to the range threshold of the restriction colour of skin on HSV and RGB two color spaces, area of skin color is regarded as in scope, other be non-area of skin color, skin area is separated from image;
Pyramid bilateral filtering is carried out for original image entirety, namely first former figure is carried out multiple dimensioned down-sampling, generate down-sampling figure and guiding figure corresponding to each yardstick, filtering is carried out to the picture of smallest dimension, and the picture by guiding figure to release last yardstick, iteration finally draws the filtered image of former figure layer by layer, the fuzzy parameter that when carrying out filtering, setting is less and template size, then in area of skin color by for current pixel and the difference of pixel in certain limit around it, if be greater than certain threshold value just think noise, medium filtering is carried out again for noise,
Directly replaced by image after the area of skin color filtering process of former figure, former figure and filtered image merge by non-area of skin color by a certain percentage.
Preferably, former figure and filtered image merge by described non-area of skin color by a certain percentage, are that 1/2nd and 1/2nd of filtered image of former figure merges mutually and obtains gained image, then carry out emergence process in edge and obtain final image.
Adopt technical scheme of the present invention, the video personage colour of skin is obviously beautified, and improves the efficiency of beautifying faces in instant video, adds Consumer's Experience effect.
The foregoing is only better enforcement use-case of the present invention, be not intended to limit protection scope of the present invention.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (6)
1. the method for beautifying faces in instant video, is characterized in that: described method comprises:
Frame of video is obtained by camera;
By Face Detection determination area of skin color and non-area of skin color, original image is transformed into respectively in HSV and rgb space, according to the range threshold of the restriction colour of skin on HSV and RGB two color spaces, area of skin color is regarded as in scope, other be non-area of skin color, skin area is separated from image;
Pyramid bilateral filtering is carried out for original image entirety, namely first former figure is carried out multiple dimensioned down-sampling, generate down-sampling figure and guiding figure corresponding to each yardstick, filtering is carried out to the picture of smallest dimension, and the picture by guiding figure to release last yardstick, iteration finally draws the filtered image of former figure layer by layer, the fuzzy parameter that when carrying out filtering, setting is less and template size, then in area of skin color by for current pixel and the difference of pixel in certain limit around it, if be greater than certain threshold value just think noise, medium filtering is carried out again for noise,
Directly replaced by image after the area of skin color filtering process of former figure, former figure and filtered image merge by non-area of skin color by a certain percentage.
2. the method for beautifying faces in a kind of instant video as claimed in claim 1, it is characterized in that: former figure and filtered image merge by described non-area of skin color by a certain percentage, be that 1/2nd and 1/2nd of filtered image of former figure merges mutually and obtains gained image, then carry out emergence process in edge and obtain final image.
3. an electronic equipment, is characterized in that: described equipment comprises:
Frame of video acquisition module: obtain frame of video by camera;
Colour of skin discriminating module: by Face Detection determination area of skin color and non-area of skin color, original image is transformed into respectively in HSV and rgb space, according to the range threshold of the restriction colour of skin on HSV and RGB two color spaces, area of skin color is regarded as in scope, other be non-area of skin color, skin area is separated from image;
Filtration module: pyramid bilateral filtering is carried out for original image entirety, namely first former figure is carried out multiple dimensioned down-sampling, generate down-sampling figure and guiding figure corresponding to each yardstick, filtering is carried out to the picture of smallest dimension, and the picture by guiding figure to release last yardstick, iteration finally draws the filtered image of former figure layer by layer, the fuzzy parameter that when carrying out filtering, setting is less and template size, then in area of skin color by for current pixel and the difference of pixel in certain limit around it, if be greater than certain threshold value just think noise, medium filtering is carried out again for noise,
Fusion Module: directly replaced by the image after the area of skin color filtering process of former figure, former figure and filtered image merge by non-area of skin color by a certain percentage.
4. a kind of electronic equipment as claimed in claim 3, it is characterized in that: former figure and filtered image merge by described non-area of skin color by a certain percentage, be that 1/2nd and 1/2nd of filtered image of former figure merges mutually and obtains gained image, then carry out emergence process in edge and obtain final image.
5. an electronic equipment, it is characterized in that: the processor comprising display screen, sending module, receiver module, storer and be connected with described display screen, described sending module, described receiver module, described storer respectively, wherein, batch processing code is stored in described storer, described processor, for calling the program code stored in described storer, performs following operation:
Frame of video is obtained by camera;
By Face Detection determination area of skin color and non-area of skin color, original image is transformed into respectively in HSV and rgb space, according to the range threshold of the restriction colour of skin on HSV and RGB two color spaces, area of skin color is regarded as in scope, other be non-area of skin color, skin area is separated from image;
Pyramid bilateral filtering is carried out for original image entirety, namely first former figure is carried out multiple dimensioned down-sampling, generate down-sampling figure and guiding figure corresponding to each yardstick, filtering is carried out to the picture of smallest dimension, and the picture by guiding figure to release last yardstick, iteration finally draws the filtered image of former figure layer by layer, the fuzzy parameter that when carrying out filtering, setting is less and template size, then in area of skin color by for current pixel and the difference of pixel in certain limit around it, if be greater than certain threshold value just think noise, medium filtering is carried out again for noise,
Directly replaced by image after the area of skin color filtering process of former figure, former figure and filtered image merge by non-area of skin color by a certain percentage.
6. a kind of electronic equipment as claimed in claim 5, it is characterized in that: former figure and filtered image merge by described non-area of skin color by a certain percentage, be that 1/2nd and 1/2nd of filtered image of former figure merges mutually and obtains gained image, then carry out emergence process in edge and obtain final image.
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