TWI295897B - Method and device for adjusting the colors of image - Google Patents

Description

1295 GENERAL Wf.doc/g IX. Description of the Invention: [Technical Field] The present invention relates to an image color adjustment method, and more particularly to an image color adjustment method capable of adjusting a partial image color and Device. [Prior Art] At present, some adjustment methods of image color are adjusted in red (red), green (green), and blue (blue), that is, rGB color space (c〇i〇r space). However, the case of directly processing RGB images does not cause color distortion only when the conditions of each component change are the same. Or, convert image data in RGB format to yellow (yell〇w), magenta (magenta), cyan (Cyan), which is the CMY color space. Then, make adjustments in the CMY color space. When the adjustment is completed = to the RGB color space for output. However, the above method of adjusting the color of the image can only adjust the color at the same time, and cannot be adjusted for a specific color area. For example, the saturation of specific color areas such as Zhiyun, green leaves, and sunsets is strengthened, so that the image of the 昼:: is more vivid, and the skin color of the reddish or whitened skin is adjusted back to the position of the original dish. SUMMARY OF THE INVENTION In view of the above, it is an object of the present invention to provide a method of shadowing to facilitate adjustment of a partial image. In addition, another object of the present invention is to provide an image color device for adjusting local image colors. ~ι 1295 Lesson twf.doc/g For the above or other purposes, the present invention proposes an adjustment method of image color which includes the following steps. First, receive multiple first rGB data. Convert the first RGB data into multiple data files. This '(four)-HSV data is divided into multiple groups in units of H parameters. After the absence, • adjust the first HSV data of one of these groups.

HS V data. Next, the second HS V data is converted to GB data. In one embodiment of the invention, the method of adjusting the first HSV resource of the group includes the following steps. First, add the weight of the group to the parameters of this group. The Η weight is multiplied by the s weight and added to the S parameter of the first HSV data of the group. The η weight is multiplied by v; ^ and added to the parameter of the first HSV data of the group. In one embodiment of the present invention, the maximum and minimum values of the parameters of the first HSV subject of the group are Η. In an embodiment of the invention, the $ parameter of the first HSV data of the group is between 〇 and 1, and when the S parameter is 〇 or ,, the weight of the $^ is 0. In addition, the s parameter to which the maximum S weight is applied is between 〇 5 and . In an embodiment of the present invention, the $ parameter and the V parameter of the first HSV data of the group are between 〇 and 1, and when the v parameter is 〇 or 1 •, the added V weight is 〇 And when the S parameter is 0, the added v-weight is 〇. In addition, the V parameter to which the maximum V weight is applied is between 〇·5 and . In an embodiment of the present invention, the first RGB data may be a U95 medium L.-g from a first color image signal. In an embodiment of the present invention, after converting the second RGB data, the method further includes outputting a second color image signal composed of the first RGB data. In an embodiment of the present invention, after converting the second HSV data into the second RGB data, the method further includes performing a color temperature adjustment step on the second rGb data to form a plurality of third RGB data. In an embodiment of the invention, the color temperature adjustment step may be performed by adjusting the R parameter, the G parameter, and the b parameter of the RGB data. Or the 'color temperature adjustment step may be a look-up table (LUT). In an embodiment of the invention, after performing the color temperature adjustment step, the method further includes outputting a second color image signal composed of the third RGB data. To achieve the above or other objects, the present invention provides an image color adjusting device adapted to receive a first RGB data and output a second RGB data. The image color adjustment device includes a first signal conversion module, a calculation module, a plurality of adders and a second signal conversion module, wherein the first signal conversion module is configured to convert the first RGB data into a first An HSV data. The computing module is coupled to the first signal conversion module, and the computing module is configured to receive the first HSV data and calculate a delH, a dels, and a delV. The adder is coupled to the calculation module, and the adders _ are respectively configured to receive delH, dels, and delV and respectively superimposed into the H parameter, the S parameter and the V parameter of the first HSV data to output a second HSV data. The second 5th conversion module is coupled to the adder, and the second signal conversion module is configured to convert the 7 I2958967c 〇twf.doc/g second HSV data into the second RGB data. In this embodiment, the computing module includes a -classifying storage unit, a first calculating unit, a second calculating single replacement module, and an eighth:: the knife is coupled to the first signal to And output a parameter for receiving the first coffee data, the heavy storage unit is used to pick up the knife early, and the weight is one with a V tongue? Tiger money out - H weight, -S right, poor Korean drag η m single buck to the right 4 unit and the first weight, and lose 1: :: = first conversion module 1 second calculation unit to receive dels VS ^ * No. 5 conversion mode &, B; heart reduction to (4) storage unit and the first parameter ϋ meter element μ of the majority of the V parameter and V weight, and output (four). In the embodiment, the calculation module includes a classification element and a third early element, a calculation unit, and a second calculation replacement module. Among them, the classification unit shouts to the first-signal turn-off-minute to receive the parameters of the first-HSV data, and re-stores at the time _ tiger. The 储存 heavy storage unit is coupled to the classification unit, and the weight is aged 1-5, and the classification signal 'receives the 讯 并 并 、 、 、 、 、 、 、 、 、 第 第 第 计算 计算 计算 计算 计算 计算 计算 计算 计算 计算 计算 计算 计算 计算 计算Calculate the single Μ to pick up the «-黯 data, 榷 heavy, sub-round delH. The second computing unit is coupled to the weight 1295 following Otwf.doc/g and the group' and the second computing unit is used to extract the η parameter and the s parameter wide ddS of the -HSV Bec. First, the meter element_ to the weight storage unit and the first message == module 'and the third meter unit is used to receive the _hs. Number and V parameters and V weight, and output delv. In one embodiment of the present invention, the above-mentioned weighting unit is a first calculating unit, a fourth changing module, and the sorting unit is configured to receive the first HSV data of the acupuncture and the output of the sub-town. . _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ The second calculation unit is connected to the weight storage unit 70 and the first-signal conversion module', and the second calculation unit uses the S-parameter and V-parameters of the data and the first-s weight, and outputs a first-S weight. The second calculating unit_to the weight storing unit and the first signal converting module, and the third calculating unit receives the s parameter and the V parameter and the first-V weight of the first-Hsv data, and outputs the second-V weight. The first unit is coupled to the weight storage unit, the first signal conversion module, the first meter 70 and the third calculation unit S, and the first calculation unit is configured to receive the parameter of the first-HSV data, η The weight, the second s weight, and the second v weight, and output delH, delS, and delV. In an embodiment of the invention, the computing module comprises a 〆 classifying unit, a weight storing unit, a first calculating unit, a second calculating unit 70 and a third calculating unit. Among them, the classification unit _ to the first signal to I29589J 〇 Otwf.doc / g change module, and the fresh element (4) receives the h-class signal of the -HSV f material. The weight storage unit is coupled to the classification unit: the double storage unit is used for pure classification, and outputs - 榷 S weight and - ─ _ weight. The second calculation unit is pure to weight storage = 兀 and 弟 - shout conversion module, and the second calculation unit uses the S parameter and the first s weight of the HSV data, and outputs _ second brother - counts $coupled weight storage unit and The first signal conversion module, . f As soon as possible, the V parameter used to receive the first HSV data is the first

Si: and ί a first: V weight. The first-calculating unit is coupled to the second, the first 〇, the second dynasty unit, and the second second unit, the second calculating unit is configured to receive the first HSV data. The S weight and the second ν weight, and round fine, _ and delV. Based on the above, the present invention is integrated in the HSV color space, and the adjustment result is converted to the RGB color space. Because the image color can be adjusted locally. The above and other objects, features, and advantages of the present invention will become more apparent from the aspects of the invention. β, Port [Embodiment] The present invention first converts the color image signal from the RGB color space to the HSV color space, and then adjusts it in the HSV color space. Finally, the adjustment results are converted to the RGB color space. Therefore, the present invention can achieve the color preference of the human eye and maintain the fineness of most images. The present invention will be described with reference to 12958^^〇twf.d〇c/g, but it is not intended to limit the present invention.

The ancient hail is in accordance with the present embodiment - an image color adjustment tongue / eight: H Figure 2 is in accordance with the present invention - the embodiment of the hue weight, the second map and Figure 2 is an embodiment of the present invention The chroma weight i' and FIG. 2A are luminance weight distribution maps in accordance with an embodiment of the present invention. Please refer to FIG. i, the image color adjustment method package step of this embodiment. First, step si10 is performed, and step su〇 is the reception eve, the first RGB tribute, and the first RGB data may be taken from Color-color shirt like a signal. For example, when R, B, and G are all divided into 〇~255, and the parent 16 is equally divided into one piece of data, a total of 4,913 pieces of data can be obtained.

Then, step S120 is performed, and step S120 is to convert the first RGB data into a plurality of first HSV data. Since the main disadvantage of the RGB color system is the high correlation between the components, in the HSV color system, 'each component is irrelevant to each other, and Η, s, and V represent the hue, respectively. Saturation and intensity. In simple terms, the hue (H) indicates colors such as red, dial, yellow, green, blue, etc., which are perceived by the different wavelengths of light in the human eye. The chroma (S) indicates the degree of color saturation, i.e., the degree to which white is infiltrated into the color. A high-color color indicates that the white color that this color infiltrates is less, such as a pink color, which is lower than red. The manner in which the RGB color space is converted to the HSV color space is well known to those skilled in the art to which the present invention pertains, and will not be described again. 129583⁄4 twf.doc/g Then, step S120 is performed, and step sl2 is /step 20 to group & some of the -HSV data into a plurality of groups. In more detail, the first number of ff bits of the 4b is outputted into a plurality of groups, for example, red, yellow, green, itlT° 'blue' magenta Uagenta) ° Then, steps are performed S140' and step S140 is one of these groups

The data was adjusted to multiple second HSV data.

= Refer to Figure 2A. For example, if you want to adjust the [, = = field in the original color image, then limit the parameter _ mode to take the corresponding first HSV data. In Hsv color null, the range of Η parameters is between 〇 ^ 360' where the red area is between 〇 and %. In order to facilitate the normalization of the operation, the range of Ή is changed from 〇 to between 0 and 1. For Lu, in the newly defined Η coordinates, the red area 'I is between 3G/36G. However, the present invention does not limit the = coordinate value in the first HSV data to be normalized, and the original coordinate value may be used. In the present embodiment, in order to strengthen the red color, the H weight peak is located at the H parameter of 15 brain. To change the color-protected area to a yellowish hue, the Η weight peak should fall between the H parameter of 15/36〇 to (9). Similarly, if the red area is changed to a purpleish hue, the Η weight peak should fall between the Η parameter of G/36G to 15/pass. It is worth noting that for I to avoid boundary discontinuity, the weight of the 铋 added at the boundary (H parameters are 0/360 and 30/360) should be 〇, which is the parameter of the first HSV data in the red region. The η weight added by the maximum and minimum values is 〇. In addition,

12 129589J〇 twf.doc/g ^The magnitude of the weight peak can be changed according to the demand, and the H weight ♦ value is not limited to a positive value, and the Η weight peak can also be a negative value. In addition, the weight distribution between the h-weight peak and the boundary is limited to a linear distribution, and may also be a quadratic curve distribution or other types of distribution curves. When the H weight is added to the parameter of the _ Hsv data in the red area, the adjustment of the parameter is completed. Please refer to Figure 2Β. After adjusting the parameters of the first HSV data, I can adjust the S parameter and ν parameter. In the present embodiment, the adjustment of the S parameter is advanced, but it can also be described first. In _, the abscissa is the S parameter, the range is 0 to ^, the vertical f is marked as the V parameter, and the range is also 0 to. In simple terms, as the coordinate value (s, v) of the extracted -HSV data is different, The applied s weights are not the same. In addition, the distribution of S weights has a certain limit. For example, the s weight peak must fall between 0.5 and 1 for the s parameter. The larger the S weight peak area (that is, the larger the area of 〇.2), the more obvious the change in chroma. In order to avoid the saturation S parameter being 丨, the applied s weight should be . In order to avoid the colorless (four) part being adjusted, when the s parameter is G, the applied S weight should be zero. A. For the present embodiment, when the chroma of the red area needs to be increased, the applied S weight is a positive value. When the chroma of the red area needs to be reduced by =s weight = value. In addition, the 8th weight of the peak of the big German demand, pay more. In addition, the weight distribution between the peak value and the S boundary is not = linear decoration, but also a quadratic curve distribution or other types of = cloth curve.

13 I2958967( Otwf.doc/g I2958967( Otwf.doc/g

It is worth noting that in order to avoid the discontinuity of the boundary of the red region, the last applied S weight still has to consider the relationship with the weight of the Η. For example, the middle hue of the a 'red area needs to change the most, and the middle hue of the red area needs to change the smallest, so the S weight listed in Fig. 2B is still multiplied by the weight to be the last applied S weight. In more detail, when the Η parameter of the first HSV data taken out is 15/360, the actually applied S weight peak is (0·2 χ 3/360). However, when the η parameter of the first HSV data taken is 30/360, the actually applied S weight is (〇·2χ〇). Briefly, the s weight applied by the S parameter of the first hSv data in the red region is the η weight of Figure 2 multiplied by the S weight of Figure 2. At this point, the adjustment of the S parameter of the first HSV data in the red area is completed.

Referring to Fig. 2A and Fig. 2C, after the adjustment of the S parameter is completed, the V parameter is adjusted. In Fig. 2C, the abscissa is an S parameter ranging from 〇 to 1. The ordinate is the V parameter and the range is also 0 to 1. Similarly, with the different coordinate values (S, V) of the extracted HSV data, the applied ν weights are not the same, and the distribution of V weights is also limited. For example, the v weight peak must fall in the V parameter. Between 0.5 and 1. In addition, the difference from the § weight distribution is that when the V parameter is 1, the applied ν weight should be 0 ′ to avoid brightness saturation. When the V parameter is 〇, the applied ν weight should be 0 to avoid the contrast of the image. In addition, when the number of s is 0, the applied V weight should be 〇 to avoid the uncolored 立八 being adjusted. ' Similarly, when the brightness of the red area needs to be increased, the force applied v 129583⁄4 Otwf.doc/g

When the brightness of the domain needs to be reduced, the weight of the applied V is further divided between: 'me and the V-boundary ==i, quadratic distribution or other type of distribution curve. The weight peak has been designed to be a large area, for U to disappear. The area of the v weight peak should be as small as possible. The heart V is heavy. The last applied V weight still has to be considered in relation to the weight of the 。. In the early days, the first part of the red area—Hs ^ = the applied V weight is the weight of Figure 2Au multiplied by the figure 便 便 i , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , After the fine =, the first HSV data area in the original red area Γ two HSV data. Although this embodiment only adjusts the red two: == need = no ^, between the secondary hue, and the 12 hue; each other; "=, fixed hue, can also increase the number of toning areas. ^ 'Shi Jian said above The toning range of the 12 hue. Or, please refer to the figure for changing the weight! After the step is difficult, perform step (4), and step S150 is to convert the second HSV data into multiple second rgb sub-materials. The method for adjusting the color of the image in the embodiment is roughly ^^ Inventing the method of equalizing the brightness, brightness and color, and partially correcting the image color, which can not only achieve the human-like color, but also improve the image color rs 15 1295 ο r〇twf .doc/g In the present embodiment, after performing step S15G, the color image signal composed can also be expected. After the other embodiment 1^3 step _5(), the color data of the second brain data is The r parameter of the RGB data, the number of the heart 4 is adjusted to 4, and the color of the image is composed of rgb data. The output is from the second brother. Figure 3 is a flow chart of the whole method according to the present invention. 3 3 1 1 - the color of the image color J q Ming refer to Figure 3, when ίί weight, S The weight 盥v right is also; when the Ϊ table method is obtained, the above method for adjusting the color of the image is to set Lb as the Γ step: first, 'go step S21G, and step S210 ί = / convert to HSV # material, that is, Step sm phase, ΐ =, and step S220 is to determine whether the Η is 2H to be adjusted, then step (4) is to perform a table lookup to obtain weights of each parameter. Then, proceed to step S240, and step S24〇 In order to calculate the correction, the adjustment value of each parameter is calculated. > Step (4) is performed, and step S25 is added to the original billet as the correction parameter. In other words, step S230, step S240 and step ^ are similar to the content of step S14G. Then, the step curry is performed, and the step S260 is to convert the corrected HSV data into RGB data. At this point, the adjustment of the single-pen data is substantially completed. Finally, step S27 is performed, :doc/g =S270 is to determine whether All of the painting steps S210 to S26 are as follows: Wherever right is not, the device for adjusting the color is exemplified. Several image colors using the above-mentioned image color are used. [First Embodiment] Adjustment - the first Coffee data, and output ιι〇_ 杈 杈,, and 120, multiple adder tear, 嶋, i3 〇 c and a second information module H0. Among them, the first _ conversion module ιι〇 used to The # GB data (R, G, B) is converted into a first HSV data (H, S, V). f μ The tiger conversion module 110 inputs the first HSV data (H, S, \〇 into the twelve-mode, And the add-on state i3〇a, 130b, 130c. The computing module 120 is coupled to the y-th turn conversion module 110, and the calculation module 12 is configured according to the received first-HSV data and preset parameters. Weights to calculate a delH, a dels, a delV. The adders 130a, 130b, 130c are connected to the first signal conversion module no and the adders 130a, 130b, 13〇c superimpose ddH, dds, delv and respectively to the H parameters, s parameters and v of the first HSV data. In the parameter ^ to output a second HSV data (Ho, So, Vo). The second signal conversion module 140 is coupled to the adders 130a, 130b, and 130c, and the second signal f-module 140 is configured to convert the second HSV data (Ho, So, Vo) into two RGB data (Ro, G〇, Bo). It should be noted that the above-mentioned different module 120 can also have multiple architectures, which are described in detail later.

1295 8i93twf.d〇c/g [Second Embodiment] A line architecture diagram of an image color correction device according to a second embodiment of the present invention. Please refer to phase 5, which differs from the first embodiment in that: in this embodiment, the computing module 21 includes a money unit 212, a weight storage unit 214, 216a, and a second calculation. The unit 2 is decorated with a -> U-classification unit 212 and a first-signal conversion module ^', and the second type is used to receive the H-parameter 1^ classification signal Si of the first-HSVf material. In more detail, the classification unit = find out which adjustment area is fallen, and the area to be adjusted is not only the classification signal Si after finding out which area the signal is falling on. The (10) weight storage unit 214 is coupled to the classification unit 212, and the weight 70214 outputs - H weight (Hw), one weight (Sw) and one v weight (Vw) according to the classification signal Si. In more detail, the weight storage list is called to store the preset adjustment parameter values, such as the New H weight, s = weight, and V weight. When the weight storage unit 214 receives the classification signal &, it will send the adjustment parameter value specified by the classification Si. The first calculation unit and the weight, the heavy storage unit 2M and the first signal conversion module are connected to each other. After a calculation unit 21 receives the H parameter and the H weight, the first difference unit 216a automatically calculates delH. Similarly, the second calculation unit 妾 ? ? 重 重 重 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 214 The calculation unit 216b automatically calculates 1295··, oc/g. Similarly, the second different unit 216c is consumed by the weight storage unit 214 and the first signal conversion module 110. After the third calculating unit 216c receives the H parameter, the S parameter and the v parameter, and the V weight, the third calculating unit 216c automatically calculates the delV. [THIRD EMBODIMENT] Fig. 6 is a schematic structural view of an image color adjusting device according to a second embodiment of the present invention. Referring to FIG. 6, the third embodiment is similar to the second embodiment, and the difference is that in the computing module 31A of the embodiment, the second calculating unit 316b is based on the H parameter and the s of the first Hsv data. The parameters and the S weights can be used to calculate dels. In other words, compared with the second calculating unit 216b of the second embodiment, the second calculating unit 316b of the embodiment does not need to refer to the V parameter of the first HSV data, so the hardware design complexity of the second calculating unit 316b can be reduced. . Similarly, the second calculating unit 316c of the present embodiment can calculate the delv only by referring to the parameter of the first hsv data and the V parameter and the V weight. Compared with the third calculating unit 216c of the second embodiment, the third calculating unit 316e of the embodiment does not need to refer to the S parameter of the first HSV data. [Fourth Embodiment] Fig. 7 is a schematic structural view of an image color adjusting device according to a fourth embodiment of the present invention. Referring to FIG. 7, the fourth embodiment is similar to the third embodiment. The difference is that in the calculation_module 41 of the embodiment, the first different unit 416b receives the S parameter of the first HSV data. The V parameter and the first S weight (Sw), and output a second s weight (Sw,). Similarly, the third calculating unit 416c receives the S parameter doc/g 1295891 and the v parameter of the first HSV data and the first V weight (Vw), and outputs a second V weight (Vw'). Further, the first calculating unit 416a receives the Η parameter, the Η weight (Hw), the second s weight (Sw,), and the second v weight (Vw,) of the first HSV data, and outputs delH, delS, and delV. [Fifth Embodiment] Fig. 8 is a system configuration diagram of an image color adjusting device according to a fifth embodiment of the present invention. Referring to FIG. 8, the fifth embodiment is similar to the fourth embodiment, except that the second calculating unit 516b only needs to receive the S parameter of the first HSV data and the first S weight (Sw). A second S weight (Sw,) is output. Similarly, the third calculating unit 51& can receive a second V weight (Vw,) by simply receiving the V parameter of the first HSV data and the first V weight (vw). The first calculating unit 516a calculates delH, dels, and delV by receiving the first HSV data, the η weight, the second S weight (Sw,), and the second V weight (Vw'). It should be noted that delH, delS and delV are not limited to the calculations generated by the above-disclosed architecture, and the generation of weights of various parameters is not limited to the use of look-up tables. While the present invention has been described in its preferred embodiments, the present invention is not intended to limit the invention, and the present invention may be modified and modified without departing from the spirit and scope of the invention. The scope of protection is subject to the definition of the scope of the patent application. - BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a flow chart showing a method of adjusting an image color according to an embodiment of the present invention. I2958967c Otwf.doc/g Figure 2A is a diagram of hue weight distribution in accordance with an embodiment of the present invention. 2B is a graph of chroma weight distribution in accordance with an embodiment of the present invention. 2C is a diagram of a weight distribution map in accordance with an embodiment of the present invention. 3 is a flow chart of a method for adjusting the color of an image according to another embodiment of the present invention. Figure 4 is an image color (4) bribe@@ in accordance with a first embodiment of the present invention. Figure 5 is a system architecture diagram of an image color adjustment device in accordance with a second embodiment of the present invention. Figure ό is a system architecture diagram of an image color adjusting device in accordance with a third embodiment of the present invention. Figure 7 is a system architecture diagram of an image color adjusting device in accordance with a fourth embodiment of the present invention. Figure 8 is a system architecture diagram of an image color adjusting device in accordance with a fifth embodiment of the present invention. [Description of main component symbols] _ Steps: Slio, S120, S130, S140, S150, S210, S220, S230, S240, S250, S260, S270 110: First signal conversion modules 120, 210, 310, 410, 510: Computing module 130a, 130b, 130c: adder-140: second signal conversion module 212: classification unit 214: weight storage unit 21 丨twf.doc/g 丨twf.doc/g 216a 216b 216c 416a, 516a: First calculation unit 316b, 416b, 516b: second calculation unit 316c, 416c, 516c: third calculation unit

Claims (1)

丨twf.doc/g X. Patent application scope: 1. An image color adjustment method, comprising: receiving a plurality of first RGB data; converting the first RGB data into a plurality of first HSV data; The first HSV data distinguishes a plurality of groups in units of Η parameters, and adjusts the first HSV data of one of the groups to a plurality of second HSV data; and converts the second HSV data into Most pens have second RGB data. 2. The method for adjusting image color according to claim 1, wherein the method for adjusting the first HSV data of the group comprises: adding a weight to the first HSV data of the group In the parameter, the Η weight is multiplied by the S weight and added to the S parameters of the first HSV data of the group; and the Η weight is multiplied by the V weight and added to the first HSV data of the group. In the V parameter. 3. The image color adjustment method according to claim 2, wherein the maximum and minimum values of the first parameter of the first HSV data of the group are zero. 4. The image color adjustment method according to claim 2, wherein the S parameters of the first HSV data of the group are between 0 and 1, and when the S parameter is 0 or 1, The added S weight is 0. 5. The method for adjusting the color of the image as described in item 4 of the patent application, the 23 丨 twf.doc/g method, wherein the S parameter with the maximum S weight applied is between 0.5 and 1. 6. The method for adjusting image color according to claim 2, wherein the S parameters and V parameters of the first HSV data of the group are between 0 and 1, and when the V parameter is 0. Or 1, the added V weight is 0, and when the S parameter is 0, the added V weight is 0. 7. The method of adjusting image color as described in claim 6 wherein the V parameter to which the maximum V weight is applied is between 0.5 and 1. 8. The image color adjustment method according to claim 1, wherein the first RGB data is extracted from a first color image signal. 9. The image color adjustment method of claim 1, wherein after converting to the second RGB data, the method further comprises outputting a second color image signal composed of the second RGB data. 10. The image color adjustment method according to claim 1, wherein after converting the second HSV data into the second RGB data, further comprising performing a color temperature adjustment on the second RGB data. Steps to form a majority of the third RGB data. 11. The image color adjustment method of claim 10, wherein the color temperature adjustment step comprises adjusting R parameters, G parameters, and B parameters of the second RGB data. 12. The method of adjusting image coloring: as described in claim 10, wherein the color temperature adjusting step comprises a look-up table (LUT). 13. The image color adjustment method according to claim 10, wherein after the color temperature adjustment step, the output further comprises one of the second RGB data of the 24 129 583 ⁄ ⁄ ⁄ Color image signal. An image color adjusting device, adapted to receive a first RGB data, and output a second RGB data, the image color adjusting device' includes: - a first signal conversion module for the first The RGB data is converted into a first HSV data; a computing module is coupled to the first signal conversion module, and the computing module is configured to receive the first HSV data, and calculate a delH, a ® delS, - a plurality of adders coupled to the computing module, and the adders are configured to respectively receive the delH, the delS, the delV, and respectively superimposed to the first parameter, the S parameter, and the V parameter of the first HSV data And outputting a second HSV data; and a second signal conversion module coupled to the adders, and the second signal conversion module is configured to convert the second HSV data into the second RGB data. The image color adjustment device of claim 14, wherein the calculation module comprises: a classification unit coupled to the first signal conversion module, and the classification unit is configured to receive the first a parameter of the HSV data, and outputting a classification signal; - - a weight storage unit coupled to the classification unit, and the weight storage unit is configured to receive the classification signal, and output a weight, a S weight, and a (V) 25, doc/g a first computing unit coupled to the weight storage unit and the first signal conversion module, and the first computing unit is configured to receive the first parameter of the first HSV data And the second computing unit is coupled to the weight storage unit and the first signal conversion module, and the second computing unit is configured to receive the first parameter of the first HSV data, The S parameter and the V parameter and the S weight, and output the delS; and a third computing unit coupled to the weight storage unit and the first signal conversion module, and the third computing unit is configured to receive the first HSV data Η parameter, S parameters and the parameters V and V weights, and outputs the delV. The image color adjustment device of claim 14, wherein the calculation module comprises: a classification unit coupled to the first signal conversion module, and the classification unit is configured to receive the first a parameter of the HSV data, and outputting a classification signal; a weight storage unit, transferred to the classification unit, and the weight storage unit is configured to receive the classification signal, and output a weight, a S weight, and a V weight; a first computing unit is coupled to the weight storage unit and the first signal conversion module, and the first computing unit is configured to receive the first parameter of the first HSV data and the weight of the first HSV, and output the delH. a second computing unit is coupled to the weight storage unit and the first signal conversion module, and the second computing unit is configured to receive the first parameter and the S parameter of the first HSV data and the S weight, and output the delS ; and 26 1295^7, twf.doc/g a third computing unit coupled to the weight storage unit and the first signal conversion module, and the third computing unit is configured to receive the first parameter of the first HSV data The V parameter and the V weight are output, and the delV is output. The image color adjustment device of claim 14, wherein the calculation module comprises: a classification unit coupled to the first signal conversion module, and the classification unit is configured to receive the first a parameter of the HSV data, and outputting a classification signal; a weight storage unit coupled to the classification unit, and the weight storage unit is configured to receive the classification signal, and output a weight, a first S weight, and a first a V-weight; a second computing unit coupled to the weight storage unit and the first signal conversion module, and the second computing unit is configured to receive S parameters and V parameters of the first HSV data and the first S weighting, and outputting a second S weight; a third calculating unit coupled to the weight storing unit and the first signal converting module, and the third calculating unit is configured to receive the S parameter of the first HSV data And the V parameter and the first V weight, and outputting a second V weight; and a first computing unit coupled to the weight storage unit, the first signal conversion module, the second computing unit, and the third meter And calculating, by the first computing unit, the Η parameter of the first HSV data, the Η weight, the second S weight and the second V weight, and outputting the delH, the delS and the delV. The apparatus for adjusting the image color according to claim 14, wherein the calculation module comprises: a classification unit, the handle is connected to the first signal conversion module, and the The categorization unit is configured to receive the Η parameter of the first HSV data and output a classification signal; a weight storage unit coupled to the classification unit, and the weight storage unit is configured to receive the classification signal and output a weight, a first S weight and a first V weight; a second computing unit coupled to the weight storage unit and the first signal conversion module, and the second computing unit is configured to receive the S of the first HSV data The parameter is associated with the first S weight and outputs a second S weight; a third computing unit is coupled to the weight storage unit and the first signal conversion module, and the third computing unit is configured to receive the first a V parameter of the HSV data and the first V weight, and outputting a second V weight; and a first computing unit coupled to the weight storage unit, the first signal conversion module, the second computing unit, and the Third calculation a unit, and the first calculating unit is configured to receive the first parameter of the first HSV data, the weight of the second S weight, and the second V weight, and output the delH, the delS and the delV. 28