CN101039393A - Image processing apparatus and its method - Google Patents

Abstract

The present invention discloses an image treating device for regulating the saturation of an input image. The input image has brightness and tonality as well. The image treating device comprises a comparison list, a treating unit and a multiplier. Wherein, the comparison list is used for recording lightness ranges with number of M, tonality ranges with number of N and the corresponding M*N plus values. The treating unit is used for memorizing the comparison list and determining which lightness range and tonality range the input image lightness and tonality locate on with basis of the comparison list, and deciding the corresponding plus values. The multiplier is coupled to the treating unit for multiplying saturation and its plus value of the input image. Thereby, the image quality can be improved.

Description

Image processing apparatus and method thereof

Technical field

The invention relates to a kind of image processing apparatus and method thereof, and particularly relevant for a kind of image processing apparatus and method thereof of adjusting the saturation (Saturation) of input picture (Input image).

Background technology

In present display, the user all can pass through window picture operating system, and (On screendisplay OSD) adjusts the saturation of color, to strengthen the display effect of image.See also Fig. 1 to Fig. 2 B, Fig. 1 is the functional block diagram that illustrates the image processing apparatus 1 of prior art.Fig. 2 A is the schematic diagram that illustrates luminance gain value table of comparisons 160a among Fig. 1.Fig. 2 B is the schematic diagram that illustrates tone yield value table of comparisons 160b among Fig. 1.Image processing apparatus 1 comprises first color space converter 10, tone transducer 12, the first saturation transducer 14, processing unit 16a, 16b, multiplier 18a, 18b, the second saturation transducer 20 and second color space converter 22.Processing unit 16a can store luminance gain value table of comparisons 160a, and shown in Fig. 2 A, and processing unit 16b can store tone yield value table of comparisons 160b, shown in Fig. 2 B.

First color space converter 10 is in order to be converted to the Lab color space with input picture by rgb color space, and wherein L is a luminance elements, and a and b are respectively color element.(Hue, H), wherein tone H is defined as tone transducer 12 in order to the tone that color element a and b is converted to input picture $H={\tan }^{-1}\left(\frac{b}{a}\right).$ (Saturation, S), wherein saturation S is defined as the first saturation transducer 14 in order to the saturation that color element a and b is converted to input picture $S=\sqrt{a^2+{\mathrm{<figure-callout\; id="2"\; label="b"\; filenames="A20061006761300161.png"\; state="\{\{state\}\}">b</figure-callout>}}^2}.$

Processing unit 16a is according to the brightness (Lightness of input picture, L) and luminance gain value table of comparisons 160a, and determine luminance gain value Gain-L, and processing unit 16b is according to the tone and the tone yield value table of comparisons 160b of input picture, and determine tone yield value Gain-H.Then, multiplier 18a can multiply by luminance gain value Gain-L tone yield value Gain-H, to produce saturation yield value Gain-S.Afterwards, multiplier 18b multiply by saturation yield value Gain-S the saturation of input picture again, to produce adjusted saturation.

The second saturation transducer 20 is in order to being converted to color element a and b with adjusted saturation, and second color space converter 22 is converted to rgb color space with input picture by the Lab color space again.

See also Fig. 3 A and Fig. 3 B, Fig. 3 A is the schematic diagram that illustrates the Lab color space.Fig. 3 B illustrates in the Lab color space schematic diagram of the saturation of different brightness and tone thereof.As shown in Figure 3A, in the Lab color space, brightness L is by highly control, and tone H is by angle control, and saturation S is controlled by radius.According to above-mentioned, the image processing apparatus 1 of prior art is to utilize luminance gain value Gain-L and tone yield value Gain-H to adjust the saturation of input picture respectively.Yet, shown in Fig. 3 B, when the brightness of input picture not simultaneously, the saturation scope of its tone is also different.Because the color space tangent plane difference of each brightness, and different tones (angle) have different saturation scopes, so choose luminance gain value Gain-L according to different brightness, and choose tone yield value Gain-H according to different tones, can cause saturation control to be difficult for, and then cause color to depart from.

Therefore, category of the present invention is to provide a kind of image processing apparatus and method thereof, to address the above problem.

Summary of the invention

One of category of the present invention is to provide a kind of image processing apparatus and method thereof, and this image processing apparatus system adjusts the saturation of input picture simultaneously according to the brightness and the tone of input picture.By this, can obtain preferable picture quality.

According to a preferred embodiment, image processing apparatus of the present invention (Image processingapparatus) is in order to adjusting the saturation (Saturation) of input picture (Input image), input picture and comprise brightness (Lightness) and tone (Hue).This image processing apparatus comprises the table of comparisons (Look-up table), processing unit (Processing unit) and multiplier (Multiplier).

In the above embodiments, the table of comparisons is in order to record M brightness range, a N tone range and M*N yield value (Gain), and each M*N yield value is to correspond respectively to one of them of M brightness range and one of them of N tone range, and wherein M and N are all natural number.Processing unit is in order to storing the table of comparisons, and judges that according to the table of comparisons brightness of input picture falls within one of them of M brightness range and one of them that tone falls within N tone range, to determine corresponding yield value.And multiplier is to couple mutually with processing unit, and multiply by corresponding yield value in order to the saturation with input picture.

Therefore, image processing apparatus of the present invention is a saturation of adjusting input picture according to the brightness and the tone of input picture simultaneously, and then promotes the color saturation of input picture.By this, can obtain preferable picture quality.

According to an aspect of the present invention, a kind of image processing apparatus is provided, in order to adjust the saturation of input picture, this input picture and comprise brightness and tone, this image processing apparatus comprises: the table of comparisons, in order to record M brightness range, a N tone range and M*N yield value, and each this M*N yield value be correspond respectively to this M brightness range one of them and this N tone range one of them, wherein M and N are all natural number; Processing unit, in order to storing this table of comparisons, and according to this table of comparisons judge this brightness of this input picture fall within this M brightness range one of them and this tone fall within this N tone range one of them, to determine corresponding yield value; And multiplier, coupling mutually with this processing unit, this multiplier is adjusted the back saturation in order to the corresponding yield value with this of this saturation of this input picture is multiplied each other and draw.

According to another aspect of the present invention, a kind of image processing method also is provided, in order to adjust the saturation of input picture, this input picture and comprise brightness and tone, this image processing method comprises the following step: (a) according to the table of comparisons, this brightness of judging this input picture fall within M brightness range one of them and this tone value fall within N tone range one of them, to determine corresponding yield value, wherein this table of comparisons is in order to write down this M brightness range, this N tone range and M*N yield value, and each this M*N yield value be correspond respectively to this M brightness range one of them and this N tone range one of them, wherein M and N are all natural number; And (b) the corresponding yield value with this of this saturation of this input picture is multiplied each other, adjust the back saturation and draw.

According to another aspect of the present invention, a kind of image processing apparatus also is provided, in order to adjust the saturation of input picture, this input picture and comprise brightness and tone, this image processing apparatus comprises: the table of comparisons, adjust parameter in order to M brightness of record, a N tone and M*N group, and each this M*N organize adjustment parameter be correspond respectively to this M brightness one of them and this N tone one of them, wherein M and N are all natural number; Processing unit in order to storing this table of comparisons, and determines one group of corresponding parameter of adjusting according to this brightness, this tone and this table of comparisons of this input picture, and calculates the saturation yield value according to the corresponding adjustment of this group parameter; And multiplier, coupling mutually with this processing unit, this multiplier multiplies each other in order to this saturation and this saturation yield value with this input picture, adjusts the back saturation and draw.

According to another aspect of the present invention, a kind of image processing method also is provided, in order to adjust the saturation of input picture, this input picture and comprise brightness and tone, this image processing method comprises the following step: (a) according to this brightness of this input picture, this tone and the table of comparisons, determine one group of corresponding parameter of adjusting, and calculate the saturation yield value according to the corresponding parameter of adjusting of this group, wherein this table of comparisons is in order to M brightness of record, N tone and M*N group are adjusted parameter, and each this M*N group adjust system of parameters correspond respectively to this M brightness one of them and this N tone one of them, wherein M and N are all natural number; And (b) this saturation and this saturation yield value of this input picture multiplied each other, adjust the back saturation and draw.

Can be about the advantages and spirit of the present invention by following detailed Description Of The Invention and appended graphic being further understood.

Description of drawings

Fig. 1 is the functional block diagram that illustrates the image processing apparatus of prior art;

Fig. 2 A is the schematic diagram that illustrates the luminance gain value table of comparisons among Fig. 1;

Fig. 2 B is the schematic diagram that illustrates the tone yield value table of comparisons among Fig. 1;

Fig. 3 A is the schematic diagram that illustrates the Lab color space;

Fig. 3 B illustrates in the Lab color space schematic diagram of the saturation of different brightness and tone thereof;

Fig. 4 is the functional block diagram that illustrates the image processing apparatus of first preferred embodiment according to the present invention;

Fig. 5 is the schematic diagram that illustrates the table of comparisons among Fig. 4;

Fig. 6 is the flow chart of the image processing method of first preferred embodiment according to the present invention;

Fig. 7 is the functional block diagram that illustrates the image processing apparatus of second preferred embodiment according to the present invention;

Fig. 8 is the schematic diagram that illustrates the table of comparisons among Fig. 7; And

Fig. 9 is the flow chart of the image processing method of second preferred embodiment according to the present invention.

[main element label declaration]

1,3,5: image processing apparatus 10,22: color space converter

12: tone transducer 14,20: saturation transducer

16a, 16b: processing unit 160a: the luminance gain value table of comparisons

160b: tone yield value table of comparisons 18a, 18b, 38,58: multiplier

30,32,34,40,42,50,52,54,60,62: transducer

36,56: processing unit 360,560: the table of comparisons

S100-S108, S200-S208: process step

Embodiment

See also Fig. 4, Fig. 4 is the functional block diagram that illustrates the image processing apparatus 3 of first preferred embodiment according to the present invention.In this embodiment, image processing apparatus (Image processingapparatus) 3 in order to the saturation of adjusting input picture (Input image) (Saturation, S), input picture and have brightness (Lightness, L) and tone (Hue, H).In this embodiment, input picture is to meet rgb color space.

As shown in Figure 4, image processing apparatus 3 comprises first transducer (Converter) 30, second transducer 32, the 3rd transducer 34, processing unit (Processing unit) 36, multiplier (Multiplier) 38, the 4th transducer 40 and the 5th transducer 42.Wherein, processing unit 36 can store the table of comparisons (Look-up table) 360, in order to record M brightness range, a N tone range and M*N yield value (Gain), and each M*N yield value be correspond respectively to M brightness range one of them and N tone range one of them, wherein M and N are all natural number.First transducer 30 couples mutually with processing unit 36.Second transducer 32 is coupled between first transducer 30 and the processing unit 36.The 3rd transducer 34 is coupled between first transducer 30 and the multiplier 38.Multiplier 38 couples mutually with processing unit 36.The 4th transducer 40 couples mutually with multiplier 38.The 5th transducer 42 couples mutually with first transducer 30 and the 4th transducer 40 respectively.

See also Fig. 5, Fig. 5 is the schematic diagram that illustrates the table of comparisons 360 among Fig. 4.In the first above-mentioned embodiment, the table of comparisons 360 record 10 brightness ranges, 18 tone ranges and 10*18 yield values, as shown in Figure 5.Be noted that brightness range, tone range and the yield value that the table of comparisons 360 is write down can be according to different demands, and do different settings.

In the first above-mentioned embodiment, first transducer 30 is in order to be converted to the Lab color space with input picture by rgb color space, and wherein L is a luminance elements, and a and b are respectively color element.Second transducer 32 is in order to be converted to tone with two color element a and b, and wherein tone H is defined as $H={\tan }^{-1}\left(\frac{b}{a}\right).$ The 3rd transducer 34 is in order to be converted to saturation with two color element a and b, and wherein saturation S is defined as $S=\sqrt{a^2+{\mathrm{<figure-callout\; id="2"\; label="b"\; filenames="A20061006761300161.png"\; state="\{\{state\}\}">b</figure-callout>}}^2}.$ Processing unit 36 according to the table of comparisons 360 judge the brightness value of input picture fall within 10 brightness ranges one of them and tone value fall within 18 tone ranges one of them, to determine corresponding yield value.For example, if the brightness value of input picture be 15 and tone value be 30, then processing unit 36 can determine corresponding yield value G22 according to the table of comparisons 360.Afterwards, multiplier 38 can multiply by corresponding yield value G22 with the saturation of input picture, adjusts the back saturation and draw.The 4th transducer 40 will be adjusted color element a and the b that the back saturation is converted to the Lab color space.At last, the 5th transducer 42 is converted to rgb color space with input picture by the Lab color space again.By this, the saturation of input picture is promptly simultaneously finished adjustment according to the brightness and the tone of input picture.

See also Fig. 6, Fig. 6 is the flow chart of the image processing method of first preferred embodiment according to the present invention.See also Fig. 4 and Fig. 5, image processing method of the present invention is in order to adjusting the saturation of input picture, input picture and have brightness and tone.According to the first above-mentioned preferred embodiment, image processing method of the present invention comprises the following step:

Step S100: input picture is converted to the Lab color space by rgb color space;

Step S102: according to the table of comparisons 360, the brightness value of judgement input picture falls within which brightness range and which tone range tone value falls within, to determine corresponding yield value;

Step S104: the intensity value of input picture be multiply by corresponding yield value, adjust the back saturation and draw;

Step S106: will adjust the back saturation and be converted to color element a and b;

Step S108: input picture is converted to rgb color space by the Lab color space.

See also Fig. 7, Fig. 7 is the functional block diagram that illustrates the image processing apparatus 5 of second preferred embodiment according to the present invention.In this embodiment, image processing apparatus 5 is in order to adjusting the saturation S of input picture, input picture and have brightness L and tone H.In this embodiment, input picture is to meet rgb color space.

As shown in Figure 7, image processing apparatus 5 comprises first transducer 50, second transducer 52, the 3rd transducer 54, processing unit 56, multiplier 58, the 4th transducer 60 and the 5th transducer 62.Processing unit 56 stores the table of comparisons 560, adjust parameter (Correction parameter) in order to M brightness of record, a N tone and M*N group, and each M*N group adjust parameter be correspond respectively to M brightness one of them and N tone one of them, M and N are all natural number.First transducer 50 couples mutually with processing unit 56.Second transducer 52 is coupled between first transducer 50 and the processing unit 56.The 3rd transducer 54 is coupled between first transducer 50 and the multiplier 58.Multiplier 58 couples mutually with processing unit 56.The 4th transducer 60 couples mutually with multiplier 58.The 5th transducer 62 couples mutually with first transducer 50 and the 4th transducer 60 respectively.

In the second above-mentioned embodiment, the brightness of input picture comprises an i binary system high position (Highbit), and tone comprises a k binary system high position, and i and k are all natural number.Each M brightness in the table of comparisons 560 is all represented with i binary digit, and each N tone is all represented with k binary digit.In addition, the brightness of input picture also comprises j binary system low level, and tone also comprises p binary system low level, and j and p are all natural number.Each M*N group is adjusted parameter and is comprised yield value G, brightness deviant L_offset and hue shift value H_offset respectively, and be expressed as (G, H_offset, L_offset).

See also Fig. 8, Fig. 8 is the schematic diagram that illustrates the table of comparisons 560 among Fig. 7.In the second above-mentioned embodiment, 3 brightness of the table of comparisons 560 record, 4 tones and 3*4 group are adjusted parameter, as shown in Figure 8.Be noted that, the brightness that the table of comparisons 560 is write down, tone and adjust parameter can be according to different demands, and do different settings.

In the second above-mentioned embodiment, first transducer 50 is in order to be converted to the Lab color space with input picture by rgb color space, and wherein L is a luminance elements, and a and b are respectively color element.Second transducer 52 is in order to be converted to tone with two color element a and b, and wherein tone H is defined as $H={\tan }^{-1}\left(\frac{b}{a}\right).$ The 3rd transducer 54 is in order to be converted to saturation with two color element a and b, and wherein saturation S is defined as $S=\sqrt{a^2+{\mathrm{<figure-callout\; id="2"\; label="b"\; filenames="A20061006761300161.png"\; state="\{\{state\}\}">b</figure-callout>}}^2}.$ Processing unit 56 is according to k the binary system high position and the table of comparisons 560 of i the binary system high position of brightness L, tone H, adjust parameter (G and determine one group of correspondence, H_offset L_offset), and organizes corresponding adjustment parameter according to this and calculates saturation yield value G _SSaturation yield value G _SBe to calculate via following formula:

Formula one: G _S=G+j_binary*L_offset+p_binary*H_offset

Wherein, j_binary is the value of j binary system low level of brightness, and p_binary is the value of p binary system low level of tone.

For example, if the brightness value of input picture be 31 and tone value be 25, then brightness can be shown 001-1111 by binary form, and tone can be shown 00001-1001 by binary form, i=3 wherein, j=4, k=5, p=4.Processing unit 56 can determine one group of corresponding parameter (25 ,+0.05 ,+0.05) of adjusting according to 3 binary system high positions " 001 " of brightness L, 5 the binary system high positions " 00001 " and the table of comparisons 560 of tone H.And processing unit 56 can calculate saturation yield value G by above-mentioned formula one according to the corresponding parameter (25 ,+0.05 ,+0.05) of adjusting of this group _S=26.3, j_binary=15 wherein, p_binary=9.

Afterwards, multiplier 58 can multiply by saturation yield value G with the saturation of input picture _S, adjust the back saturation and draw.The 4th transducer 60 will be adjusted color element a and the b that the back saturation is converted to the Lab color space.At last, the 5th transducer 62 is converted to rgb color space with input picture by the Lab color space again.By this, the saturation of input picture is promptly simultaneously finished adjustment according to the brightness and the tone of input picture.In addition, utilize brightness deviant L_offset and hue shift value H_offset to adjust yield value G, can further avoid the discontinuous of image color, and then promote picture quality.

See also Fig. 9, Fig. 9 is the flow chart of the image processing method of second preferred embodiment according to the present invention.See also Fig. 7 and Fig. 8, image processing method of the present invention is in order to adjusting the saturation of input picture, input picture and have brightness and tone.According to the second above-mentioned preferred embodiment, image processing method of the present invention comprises the following step:

Step S200: input picture is converted to the Lab color space by rgb color space;

Step S202: k the binary system high position and the table of comparisons 506 according to an i binary system high position of the brightness of input picture, tone decide one group of corresponding parameter (G that adjusts, H_offset, L_offset), and according to the corresponding parameter of adjusting of this group calculate saturation yield value G _S

Step S204: the saturation of input picture be multiply by saturation yield value G _S, adjust the back saturation and draw;

Step S206: will adjust the back saturation and be converted to color element a and b;

Step S208: input picture is converted to rgb color space by the Lab color space.

Compared to prior art, image processing apparatus of the present invention and method thereof are brightness and the tone of while according to input picture, adjust the saturation of input picture, and then promote the color saturation of input picture.By this, can obtain preferable picture quality.In addition, according to a second embodiment of the present invention, the present invention also can utilize brightness deviant and hue shift value to adjust yield value, further avoids the discontinuous of image color, causes picture quality to promote more.

By the above detailed description of preferred embodiments, be to wish to know more to describe feature of the present invention and spirit, and be not to come category of the present invention is limited with above-mentioned disclosed preferred embodiment.On the contrary, its objective is that hope can contain in the category of claim of being arranged in of various changes and tool equality institute of the present invention desire application.Therefore, the category of the claim that the present invention applied for should be done the broadest explanation according to above-mentioned explanation, contains the arrangement of all possible change and tool equality to cause it.

Claims (28)

1. image processing apparatus, in order to adjusting the saturation of input picture, this input picture and comprise brightness and tone, this image processing apparatus comprises:

The table of comparisons, in order to record M brightness range, a N tone range and M*N yield value, and each this M*N yield value be correspond respectively to this M brightness range one of them and this N tone range one of them, wherein M and N are all natural number;

Processing unit, in order to storing this table of comparisons, and according to this table of comparisons judge this brightness of this input picture fall within this M brightness range one of them and this tone fall within this N tone range one of them, to determine corresponding yield value; And

Multiplier couples mutually with this processing unit, and this multiplier is adjusted the back saturation in order to the corresponding yield value with this of this saturation of this input picture is multiplied each other and draw.

2. image processing apparatus according to claim 1, also comprise first transducer, couple mutually with this processing unit, this input picture meets rgb color space, this first transducer is in order to be converted to the Lab color space with this input picture by rgb color space, wherein L is a luminance elements, and a and b are respectively color element.

3. image processing apparatus according to claim 2 also comprises second transducer, is coupled between this first transducer and this processing unit, and this second transducer is in order to be converted to this tone with this two color elements a and b, and wherein this tone H is defined as follows:

$H={\tan }^{-1}\left(\frac{b}{a}\right).$

4. image processing apparatus according to claim 2, also comprise the 3rd transducer, be coupled between this first transducer and this multiplier, the 3rd transducer is in order to be converted to this saturation with this two color elements a and b, and wherein this saturation S is defined as follows:

$S=\sqrt{a^2+b^2}.$

5. image processing apparatus according to claim 2 also comprises the 4th transducer, couples mutually with this multiplier, and the 4th transducer was converted to this two color elements a and b in order to should adjust the back saturation.

6. image processing apparatus according to claim 5 also comprises the 5th transducer, couples mutually with this first transducer and the 4th transducer respectively, and the 5th transducer is in order to be converted to rgb color space with this input picture by the Lab color space.

7. image processing method, in order to adjusting the saturation of input picture, this input picture and comprise brightness and tone, this image processing method comprises the following step:

(a) according to the table of comparisons, this brightness of judging this input picture fall within M brightness range one of them and this tone value fall within N tone range one of them, to determine corresponding yield value, wherein this table of comparisons is in order to write down this M brightness range, this N tone range and M*N yield value, and each this M*N yield value be correspond respectively to this M brightness range one of them and this N tone range one of them, wherein M and N are all natural number; And

(b) the corresponding yield value with this of this saturation of this input picture is multiplied each other, adjust the back saturation and draw.

8. image processing method according to claim 7 also comprises the following step:

In step (a) before, earlier this input picture is converted to the Lab color space by rgb color space, wherein L is a luminance elements, and a and b are respectively color element.

9. image processing method according to claim 8, wherein according to this two color elements a and b, this tone H is defined as follows:

$H={\tan }^{-1}\left(\frac{b}{a}\right).$

10. image processing method according to claim 8, wherein according to this two color elements a and b, this saturation S is defined as follows:

$S=\sqrt{a^2+b^2}.$

11. image processing method according to claim 8 also comprises the following step:

(c) should adjust the back saturation and be converted to this two color elements a and b.

12. image processing method according to claim 11 also comprises the following step:

(d) this input picture is converted to rgb color space by the Lab color space.

13. an image processing apparatus, in order to adjusting the saturation of input picture, this input picture and comprise brightness and tone, this image processing apparatus comprises:

The table of comparisons is adjusted parameter in order to M brightness of record, a N tone and M*N group, and each this M*N organize adjustment parameter be correspond respectively to this M brightness one of them and this N tone one of them, wherein M and N are all natural number;

Processing unit in order to storing this table of comparisons, and determines one group of corresponding parameter of adjusting according to this brightness, this tone and this table of comparisons of this input picture, and calculates the saturation yield value according to the corresponding adjustment of this group parameter; And

Multiplier couples mutually with this processing unit, and this multiplier multiplies each other in order to this saturation and this saturation yield value with this input picture, adjusts the back saturation and draw.

14. image processing apparatus according to claim 13, wherein this brightness comprises an i binary system high position, this tone comprises a k binary system high position, i and k are all natural number, this M of in this table of comparisons each brightness is all represented with i binary digit, and each this N tone is all represented with k binary digit.

15. image processing apparatus according to claim 14, wherein this brightness also comprises j binary system low level, this tone also comprises p binary system low level, j and p are all natural number, each this M*N group is adjusted parameter and is comprised yield value G, brightness deviant L_offset and hue shift value H_offset respectively, this saturation yield value G _SBe to calculate via following formula:

G _S＝G+j_binary*L_offset+p_binary*H_offset

Wherein, j_binary is the value of this j binary system low level of this brightness, and p_binary is the value of this p binary system low level of this tone.

16. image processing apparatus according to claim 13, also comprise first transducer, couple mutually with this processing unit, this input picture meets rgb color space, this first transducer is in order to be converted to the Lab color space with this input picture by rgb color space, wherein L is a luminance elements, and a and b are respectively color element.

17. image processing apparatus according to claim 16, also comprise second transducer, be coupled between this first transducer and this processing unit, this second transducer is in order to be converted to this tone with this two color elements a and b, and wherein this tone H is defined as follows:

$H={\tan }^{-1}\left(\frac{b}{a}\right).$

18. image processing apparatus according to claim 16, also comprise the 3rd transducer, be coupled between this first transducer and this multiplier, the 3rd transducer is in order to be converted to this saturation with this two color elements a and b, and wherein this saturation S is defined as follows:

$S=\sqrt{a^2+b^2}.$

19. image processing apparatus according to claim 16 also comprises the 4th transducer, couples mutually with this multiplier, the 4th transducer was converted to this two color elements a and b in order to should adjust the back saturation.

20. image processing apparatus according to claim 19 also comprises the 5th transducer, couples mutually with this first transducer and the 4th transducer respectively, the 5th transducer is in order to be converted to rgb color space with this input picture by the Lab color space.

21. an image processing method, in order to adjusting the saturation of input picture, this input picture and comprise brightness and tone, this image processing method comprises the following step:

(a) according to this brightness, this tone and the table of comparisons of this input picture, determine one group of corresponding parameter of adjusting, and calculate the saturation yield value according to the corresponding parameter of adjusting of this group, wherein this table of comparisons is adjusted parameter in order to M brightness of record, a N tone and M*N group, and each this M*N group adjust system of parameters correspond respectively to this M brightness one of them and this N tone one of them, wherein M and N are all natural number; And

(b) this saturation and this saturation yield value with this input picture multiplies each other, and adjusts the back saturation and draw.

22. image processing method according to claim 21, wherein this brightness comprises an i binary system high position, this tone comprises a k binary system high position, i and k are all natural number, this M of in this table of comparisons each brightness is all represented with i binary digit, and each this N tone is all represented with k binary digit.

23. image processing method according to claim 22, wherein this brightness also comprises j binary system low level, this tone also comprises p binary system low level, j and p are all natural number, each this M*N group is adjusted parameter and is comprised yield value G, brightness deviant L_offset and hue shift value H_offset respectively, this saturation yield value G _SBe to calculate via following formula:

G _S＝G+j_binary*L_offset+p_binary*H_offset

Wherein, j_binary is the value of this j binary system low level of this brightness, and p_binary is the value of this p binary system low level of this tone.

24. image processing method according to claim 21 also comprises the following step:

In step (a) before, earlier this input picture is converted to the Lab color space by rgb color space, wherein L is a luminance elements, and a and b are respectively color element.

25. image processing method according to claim 24, wherein according to this two color elements a and b, this tone H is defined as follows:

$H={\tan }^{-1}\left(\frac{b}{a}\right).$

26. image processing method according to claim 24, wherein according to this two color elements a and b, this saturation S is defined as follows:

$S=\sqrt{a^2+b^2}.$

27. image processing method according to claim 24 also comprises the following step:

(c) should adjusted saturation be converted to this two color elements a and b.

28. image processing method according to claim 27 also comprises the following step:

(d) this input picture is converted to rgb color space by the Lab color space.

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