CN104144332A - Image color adjusting method and electronic device using the same - Google Patents
Image color adjusting method and electronic device using the same Download PDFInfo
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Abstract
An image color adjusting method and an electronic device thereof are provided. The color adjusting method is applied to an electronic device equipped with an image processing function for image color adjustment. The image color adjusting method includes following steps: obtaining multiple groups of first pixel data of an image in a first color space, and performing a color space transforming process for the first pixel data to obtain multiple groups of second pixel data of the image in a CIELAB color space, wherein each of the second pixel data includes a luminance component (L*), a first color component (a*) and a second color component (b*); adjusting the first color component (a*) and the second color component (b*) of the second pixel data to obtain multiple groups of third pixel data, and performing a color space transforming process for the third pixel data to obtain multiple groups of fourth pixel data corresponding to the third pixel data in the first color space.
Description
Technical field
The invention relates to a kind of image processing method and its electronic installation, and particularly about a kind of image color method of adjustment and its electronic installation that strengthens color saturation.
Background technology
Along with showing scientific and technological progress, image display function has been widely used in various types of electronic installations, transmission means and the method for usining as a kind of information.Further, user can, according to factors such as the place at its place, occasion, times, be chosen on suitable electronic installation and dial and put associated picture or picture.For example, in large-scale household electrical appliances playing image such as the hand-held devices such as panel computer or TVs.No matter yet which kind of device on playing image, for allow user can obtain high-quality image with compared with gay colours, various image processing method is suggested in succession, and applies in different devices.
In pursuing high-quality image, the color saturation that promotes image can make beholder watch more gay colours and comparatively clearly image.For example, when a plurality of pixel datas of image are defined in rgb color space, can adjust by adjusting red component, green component or the blue component of pixel data the color saturation of image.Yet, if directly adjust or strengthen the single color component of image in rgb color space, tend to make image fault, and image is also may be after adjustment too bright-coloured and cause false contouring phenomenon.
Summary of the invention
The invention provides a kind of audio-frequency processing method, a kind of image color method of adjustment is carried out color adjustment to image in specific color space, to promote the color saturation of image.
The invention provides a kind of electronic installation, after receiving the pixel data of image, utilize graphics processing unit to carry out color space conversion to the pixel data of earlier figures picture, and in specific color space, pixel data is carried out to color adjustment, to provide and to show the image with better quality.
Image color method of adjustment in the embodiment of the present invention is used for possessing the electronic installation of image-capable, and is suitable for image to carry out color adjustment.Method comprises, obtain many group first pixel datas of image in the first color space, and the first pixel data is carried out to color space conversion, to obtain many group second pixel datas of earlier figures picture in CIELAB color space, wherein each second pixel data comprises luminance component (L*), the first color component (a*) and the second color component (b*).The first color component (a*) of adjusting in the second pixel data is organized the 3rd pixel datas with the second color component (b*) to obtain more, and the 3rd pixel data is carried out to color space conversion, to obtain in the first color space, corresponding to many groups of the 4th pixel datas of the 3rd pixel data.
Electronic installation in the embodiment of the present invention possesses image processing function and is suitable for image to carry out color adjustment.Electronic installation comprises image receiving unit, graphics processing unit and display screen.Image receiving unit receives image and obtains many group first pixel datas of image in the first color space.Graphics processing unit couples image receiving unit, the first pixel data is carried out to color space conversion, to obtain many group second pixel datas of image in CIELAB color space, wherein each is organized the second pixel data and comprises luminance component (L*), the first color component (a*) and the second color component (b*).The first color component (a*) that graphics processing unit also utilizes color adjustment model to adjust in the second pixel data is organized the 3rd pixel datas with the second color component (b*) to obtain more, and the 3rd pixel data is carried out to color space conversion, to obtain in the first color space, corresponding to many groups of the 4th pixel datas of the 3rd pixel data.Display screen couples graphics processing unit, in order to receive and to show the image being comprised of aforementioned the 4th pixel data.
Based on above-mentioned, the image color method of adjustment that the embodiment of the present invention proposes with and electronic installation, the pixel data of image is converted to the circumstances in which people get things ready for a trip caidiao opera of going forward side by side in CIELAB color space by other color space whole.The color adjustment model proposing by the embodiment of the present invention, image color method of adjustment is adjusted first color component and second color component of pixel data in CIELAB color space further, and then the color saturation of lifting image, and the pixel data after adjusting is gone to color space originally again to facilitate output and demonstration.Given this, the color saturation of image can be raised to increase the bright-coloured degree of picture, and avoids the defects such as image fault simultaneously.
For above-mentioned feature and advantage of the present invention can be become apparent, special embodiment below, and coordinate appended graphic being described in detail below.
Accompanying drawing explanation
Fig. 1 is the block schematic diagram of electronic installation according to an embodiment of the invention.
Fig. 2 is the flow chart of image color method of adjustment according to an embodiment of the invention.
Fig. 3 is the flow chart of the image color method of adjustment of another embodiment of the present invention.
Fig. 4 is the schematic diagram of the color adjustment model of one embodiment of the invention.
Embodiment
With detailed reference to the embodiment of the present invention, explanation in the accompanying drawings.In addition, all may part, in graphic and execution mode, use the element/member/symbol of same numeral, represent identical or similar portions.
The image color method of adjustment that the embodiment of the present invention provides, for possessing the electronic installation of image processing function, and is suitable for image to carry out color adjustment.Generally speaking, image is consisted of a plurality of pixel, therefore view data comprises the many groups pixel data being defined in a certain color space (Color Space), and the image color method that the embodiment of the present invention provides can be carried out color space conversion (Color Space Transform) to aforementioned many group pixel datas, to utilize color adjustment model to carry out color adjustment to image in CIELAB color space, to avoid image fault.
Fig. 1 is according to the block schematic diagram of the electronic installation of the embodiment of the present invention.Please refer to Fig. 1, electronic installation 100 comprises image receiving unit 120, graphics processing unit (Image Processing Unit, IPU) 140 and display screen 160, and possesses image processing function and be suitable for image to carry out color adjustment.More specifically, image receiving unit 120 receives image by outside, and many groups pixel data of image is transferred to graphics processing unit 140.Graphics processing unit 140 is coupled to image receiving unit 120, receives and image is carried out to image processing (Image Processing).Image is after treatment output to display screen 160, and the image being shown after image is processed by display screen 160.Display screen 160 can be LCD Panel (LCD Display) or light emitting diode (LED) display screen curtain (LED Display), and so the present invention is not as limit.
Fig. 2 is according to the flow chart of the image color method of adjustment of the embodiment of the present invention.Please refer to Fig. 1 and Fig. 2, image color method of adjustment comprises the following steps.In step S220, image receiving unit 120 is obtained many group first pixel datas of image in the first color space.In the present embodiment, the first color space is R-G-B (RGB) color space, and each is organized the first pixel data and comprises respectively red component (Red Component), green component (Green Component) and blue component (Blue Component).But in other embodiment of the present invention, the first color space is not limited to R-G-B color space, and can be the color space of other type, for example, be printing four color separations (CMYK) color spaces.
Then,, in step S240, graphics processing unit 140 receives aforesaid many groups the first pixel data, and the first pixel data is carried out to color space conversion, to obtain many group second pixel datas of image in CIELAB color space.Under the definition of CIELAB color space, the second pixel data comprises luminance component (Luminance Component, L*), the first color component (First Color Component, a*) and the second color component (Second Color Component, b*).More specifically, luminance component (L*) represents the brightness of single pixel, the first color component (a*) represents the deflection degree of single pixel color between red and green (opposite color), and the second color component (b*) represents the deflection degree of single pixel color between yellow and blue (opposite color).Owing to thering is visual uniformity in CIELAB color space, therefore carry out color adjustment at CIELAB color space, can more correctly correspond to the color change of visually institute's perception.
In the present embodiment, the first color space is R-G-B color space, yet should be noted, the pixel data in R-G-B color space and CIELAB color space cannot directly be changed.Therefore in the present embodiment, more need by a transition color space, for example, be that CIEXYZ color space assists image the first pixel data in R-G-B color space to be converted to second pixel data of earlier figures picture in CIELAB color space.Concrete way is for to carry out color space conversion to obtain in transition color space to the first pixel data, corresponding to the transition pixel data of the first pixel data.Then, then to transition pixel data carry out color space conversion to obtain in CIELAB color space, corresponding to the second pixel data of transition pixel data.
In step S260, the first color component (a*) that graphics processing unit 140 utilizes color adjustment model to adjust in each second pixel data is organized the 3rd pixel datas with the second color component (b*) to obtain more.The color adjustment model proposing in the embodiment of the present invention is:
Wherein x is inputted the first color component (a*) or the second color component (b*), f (x) is that the first color component (a*) or the second color component (b*) map to the color map value between 0～1 scope, parametric t and γ are for controlling parameter, parameter p and q are limiting parameter, and g (x) is the color adjusted value after color adjustment model is adjusted by color map value.In an embodiment of the present invention, limiting parameter p and q are preferably an integer.
Fig. 4 is the schematic diagram of the color adjustment model that is depicted as of one embodiment of the invention.Please refer to Fig. 4 and aforementioned color adjustment model (equation 1), curve in Fig. 4 is color map value f (x) in color adjustment model (equation 1) and the corresponding relation between color adjusted value g (x), in other words, be the first color component (a*) or the second color component (b*) and first color component (a*) of output or the corresponding relation between the second color component (b*) of input.While utilizing color adjustment model (equation 1) to adjust the first color component (a*) in the second pixel data with the second color component (b*), the first color component (a*) of inputting or the second color component (b*) can first be mapped between 0～1 scope to obtain color map value f (x), and among the number range of after color is adjusted, color adjusted value g (x) is remapped back the first color component (a*) or the second color component (b*), to obtain many groups the 3rd pixel data.The 3rd pixel data comprises luminance component (L*), the first color component (a*) and the second color component (b*) equally.
In the present embodiment, by adjustment, control parametric t and γ and limiting parameter p and q, the first color component (a*) can be adjusted accordingly with the change amplitude of the second color component (b*).Control the degree that parametric t and γ can determine that the first color component (a*) and the second color component (b*) are adjusted, limiting parameter p and q are for limiting the first color component (a*) and the second color component (b*) to avoid the first color component (a*) and the second color component (b*) to be subject to excessive amplification and to cause image color that oversaturated situation occurs.In the embodiment of the present invention, preferably, control parametric t and γ and meet and 0.99≤t≤1.91, and limiting parameter p and q meet and 0<q≤1.
As aforementioned, in CIELAB color space, the first color component (a*) represents the deflection degree of single pixel color between red and green (opposite color), and the second color component (b*) represents the deflection degree of single pixel color between yellow and blue (opposite color).Therefore,, in the corresponding relation of Fig. 4, if the color map value f (x) inputting is more partial to 1, more deflection is red to represent the first color component (a*), or more deflection is yellow to represent the second color component (b*).Otherwise if the color map value f (x) inputting is more partial to 0, more deflection is green to represent the first color component (a*), or more deflection is blue to represent the second color component (b*).As shown in Figure 4, color adjustment model has the ability that color component is partial to degree between opposite color of adjusting.For instance, when inputted color map value f (x) is 0.8,, after color adjustment model (equation 1) is adjusted, the color adjusted value of exporting in Fig. 4 is 0.9.If x is the first color component (a*), represent that it is after color model is adjusted, more deflection is red, and if x is the second color component (b*), more deflection is yellow to represent it.
In CIELAB color space, chrominance C * is defined as:
Color saturation is defined as follows:
Generally speaking, the first color component (a*) in CIELAB color space and the meet-R≤a*≤R of number range of the second color component (b*) and-R≤b*≤R, wherein R is arbitrary integer.As aforementioned, because color adjustment model (equation 1) has the ability that color component is partial to degree between opposite color of adjusting, therefore for image (or its pixel), graphics processing unit 140 is controlled parametric t and γ by adjustment, can make chrominance C * relatively increase, under the situation of brightness L* that does not affect image, and then promote its color saturation.
Again with reference to Fig. 1 and Fig. 2, obtain after many groups the 3rd pixel data, graphics processing unit 140, in step S280, carries out color space conversion to many groups of the 3rd pixel datas, to obtain in the first color space, corresponding to many groups of the 4th pixel datas of the 3rd pixel data.In the present embodiment, the first color space is R-G-B color space, therefore the 4th pixel data comprises red component, green component and blue component equally.
Fig. 3 is the flow chart of the image color method of adjustment of another embodiment of the present invention.In the present embodiment, utilize color adjustment model (equation 1) to adjust the method that each organizes the first color component (a*) in the second pixel data and the second color component (b*), more can be subdivided into the second pixel data is carried out color enhancement processing and the second pixel data of part is carried out to color adjustment processing.With reference to Fig. 3, in step S240, the first pixel data is carried out to color space conversion, obtain after many groups of second pixel datas of image in CIELAB color space, graphics processing unit 140 is in step S262, utilize color adjustment model (equation 1), strengthen the first color component (a*) and the second color component (b*) in the second pixel data.By adjustment, control parametric t and γ and limiting parameter p and q, color adjustment model (equation 1) can be adjusted the first color component (a*) and the second color component (b*) as the corresponding relation in Fig. 4, to strengthen the first color component (a*) and the second color component (b*), and then reach the object of the color saturation (Color Saturation) that promotes the second pixel data.
Except the first pixel data in the second pixel data and the second pixel data carry out color enhancement processing, the present embodiment also comprises the color adjustment for area of skin color in image.The area of skin color (conventionally having personage's existence in representative image) that presents the colour of skin if having in image, after the color enhancement of graphics processing unit 140 meetings in step S262 processed, further adjust the first color component (a*) and the second color component (b*) corresponding to the second pixel data of area of skin color, so that display screen 160 is more preferably the area of skin color of the colour of skin in represent images.
With reference to Fig. 3, in step S220, obtain after many groups of first pixel datas of image in the first color space, graphics processing unit 140 is further in step S242, many groups of the first pixel datas are carried out to color space conversion, to obtain many group five pixel datas of image in the second color space.For example, the second color space can be HSV color space, and each the 5th pixel data comprises form and aspect component (H), saturation component (S) and luminance component (V).Then, in step S244, many groups of the 5th pixel datas are carried out to Face Detection, to judge whether there is the area of skin color that is the colour of skin in image.With reference to Fig. 1, in graphics processing unit 140, also include Face Detection unit 142, with the area of skin color in detected image.Take HSV color space as example, comparing in proper range and to the 5th pixel data by setting respectively form and aspect component (H), saturation component (S) and luminance component (V) in Face Detection unit 142, judges in image, whether to have area of skin color.
If do not there is area of skin color in image, in step S262, after adjusting by color adjustment model (equation 1), many groups of the 3rd pixel datas of gained can be obtained, and graphics processing unit 140 is obtained in the first color space the 4th pixel data corresponding to the 3rd pixel data in step S280.Otherwise, if there is area of skin color in image, graphics processing unit 140 is also in step S264, utilize color to adjust first color component (a*) and the second color component (b*) of the second pixel data of mould (equation 1) adjustment member, and the second pixel data of aforementioned part is corresponding to the area of skin color in image.
More specifically, by adjustment, control parametric t and γ and limiting parameter p and q, color adjustment model (equation 1) equally also can be used for the adjustment to area of skin color.It should be noted that in step S262 and step S264, the control parametric t of color adjustment model (equation 1) and γ and limiting parameter p and q, also inconsistent on setting.Compared in step S262 for strengthening the color adjustment model (equation 1) of the first color component (a*) Yu second color component (b*) of the second pixel data, color adjustment model (equation 1) for step S264 has lower control parametric t and γ value, suitably to reduce the color saturation of area of skin color.Finally, graphics processing unit 140 is obtained after the 3rd pixel data that step S262 and step S264 adjust, and obtains in the first color space, corresponding to the 4th pixel data of the 3rd pixel data in step S280.
In sum, image color method of adjustment and electronic installation that the embodiment of the present invention provides, can the pixel data of other color space will be defined in image, be converted to CIELAB color space, and pass through proposed color adjustment model, do not make image fault or too bright-coloured in the situation that, adjusting the color saturation of image.In addition, whether image color method of adjustment can also there is the area of skin color that is the colour of skin in detected image, and for the area of skin color in image, utilize identical color adjustment model to adjust, so that display screen can more preferably present the area of skin color in image.
Although the present invention discloses as above with embodiment; so it is not in order to limit the present invention; under any, in technical field, have and conventionally know the knowledgeable; without departing from the spirit and scope of the present invention; when doing a little also moving and retouching, therefore protection scope of the present invention is when being as the criterion depending on claims person of defining.
Claims (14)
1. an image color method of adjustment, for possessing the electronic installation of image processing function, is characterized in that, above-mentioned image color method of adjustment comprises:
Obtain many group first pixel datas of image in the first color space;
Above-mentioned many groups the first pixel data is carried out to color space conversion, to obtain many group second pixel datas of above-mentioned image in CIELAB color space, wherein each above-mentioned second pixel data comprises luminance component (L*), the first color component (a*) and the second color component (b*);
Above-mentioned the first color component (a*) of adjusting in above-mentioned many groups the second pixel data is organized the 3rd pixel datas with above-mentioned the second color component (b*) to obtain more; And
Above-mentioned many groups the 3rd pixel data is carried out to color space conversion, to obtain in above-mentioned the first color space, corresponding to many groups of the 4th pixel datas of above-mentioned many groups the 3rd pixel data.
2. image color method of adjustment as claimed in claim 1, it is characterized in that, wherein above-mentioned the first color space is R-G-B (RGB) color space, and each above-mentioned first pixel data and each above-mentioned the 4th pixel data comprise respectively red component (R), green component (G) and blue component (B).
3. image color method of adjustment as claimed in claim 1, is characterized in that, wherein above-mentioned color adjustment model is:
Wherein x is inputted above-mentioned the first color component (a*) or above-mentioned the second color component (b*), f (x) maps to the color map value between 0～1 scope for above-mentioned the first color component (a*) or above-mentioned the second color component (b*), parametric t and γ are for controlling parameter, parameter p and q are limiting parameter, and g (x) is the color adjusted value after above-mentioned color adjustment model is adjusted by above-mentioned color map value f (x).
4. image color method of adjustment as claimed in claim 3, it is characterized in that, wherein above-mentioned these control parametric t and γ meet 0≤γ≤4 and 0.99≤t≤1.91, and above-mentioned these limiting parameters p and q meet 0<p≤2 and 0<q≤1.
5. image color method of adjustment as claimed in claim 1, is characterized in that, above-mentioned the first color component (a*) of wherein adjusting in above-mentioned these second pixel datas comprising with the step of above-mentioned the second color component (b*):
Strengthen above-mentioned the first color component (a*) and above-mentioned the second color component (b*) in above-mentioned these second pixel datas, to promote the color saturation of above-mentioned these the second pixel datas.
6. image color method of adjustment as claimed in claim 5, is characterized in that, also comprises:
Above-mentioned these first pixel datas are carried out to color space conversion, to obtain many group five pixel datas of above-mentioned image in the second color space; And
Above-mentioned these the 5th pixel datas are carried out to Face Detection, to judge whether there is the area of skin color that is the colour of skin in above-mentioned image;
Wherein, if there is above-mentioned area of skin color in above-mentioned image, after strengthening the color saturation of above-mentioned these the second pixel datas, above-mentioned first color component (a*) of above-mentioned these second pixel datas of adjustment member and above-mentioned the second color component (b*), wherein above-mentioned these second pixel datas of aforementioned part are corresponding to the above-mentioned area of skin color in above-mentioned image.
7. image color method of adjustment as claimed in claim 6, it is characterized in that, wherein above-mentioned the second color space is HSV color space, and each above-mentioned these the 5th pixel data comprises form and aspect component (H), saturation component (S) and luminance component (V).
8. an electronic installation, possesses image processing function, it is characterized in that, above-mentioned electronic installation comprises:
Image receiving unit, receives image and obtains many group first pixel datas of above-mentioned image in the first color space;
Graphics processing unit, couple above-mentioned image receiving unit, above-mentioned many groups the first pixel data is carried out to color space conversion, to obtain many group second pixel datas of above-mentioned image in CIELAB color space, wherein each above-mentioned many groups second pixel data comprises luminance component (L*), the first color component (a*) and the second color component (b*), above-mentioned graphics processing unit utilizes above-mentioned the first color component (a*) in the above-mentioned many groups of color adjustment model adjustment the second pixel data to obtain, to organize the 3rd pixel datas with above-mentioned the second color component (b*) more, and above-mentioned many groups the 3rd pixel data is carried out to color space conversion, to obtain in above-mentioned the first color space, many groups of the 4th pixel datas corresponding to above-mentioned many groups the 3rd pixel data, and
Display screen, couples above-mentioned graphics processing unit, in order to receive and to show by the above-mentioned above-mentioned images that the 4th pixel data forms of organizing more.
9. electronic installation as claimed in claim 8, it is characterized in that, wherein above-mentioned the first color space is R-G-B (RGB) color space, and each above-mentioned these first pixel data and each above-mentioned these the 4th pixel data comprise respectively red component (R), green component (G) and blue component (B).
10. electronic installation as claimed in claim 8, is characterized in that, wherein above-mentioned color adjustment model is:
Wherein x is inputted above-mentioned the first color component (a*) or above-mentioned the second color component (b*), f (x) maps to the color map value between 0～1 scope for above-mentioned the first color component (a*) or above-mentioned the second color component (b*), parametric t and γ are for controlling parameter, parameter p and q are limiting parameter, and g (x) is the color adjusted value after above-mentioned color adjustment model is adjusted by above-mentioned color map value f (x).
11. electronic installations as claimed in claim 10, it is characterized in that, wherein above-mentioned these control parametric t and γ meet 0≤γ≤4 and 0.99≤t≤1.91, and above-mentioned these limiting parameters p and q meet 0<p≤2 and 0<q≤1.
12. electronic installations as claimed in claim 8, it is characterized in that, wherein above-mentioned image processing apparatus strengthens above-mentioned the first color component (a*) and above-mentioned the second color component (b*) in above-mentioned these second pixel datas by above-mentioned color adjustment model, to promote the color saturation of above-mentioned these the second pixel datas.
13. electronic installations as claimed in claim 12, it is characterized in that, wherein above-mentioned graphics processing unit also comprises Face Detection unit, above-mentioned graphics processing unit carries out color space conversion to above-mentioned these first pixel datas, to obtain many group five pixel datas of above-mentioned image in the second color space, and above-mentioned Face Detection unit carries out Face Detection to above-mentioned these the 5th pixel datas, to judge whether there is the area of skin color that is the colour of skin in above-mentioned image.
14. electronic installations as claimed in claim 13, it is characterized in that, wherein above-mentioned the second color space is HSV color space, and each above-mentioned these the 5th pixel data comprises form and aspect component (H), saturation component (S) and luminance component (V).
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Also Published As
| Publication number | Publication date |
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| TWI485694B (en) | 2015-05-21 |
| TW201443865A (en) | 2014-11-16 |
| CN104144332B (en) | 2017-04-12 |
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