TW200824469A - White balance method and image adjusting apparatus - Google Patents

Abstract

A white balance method and an image adjusting apparatus are provided. The white balance method at least includes the following steps. In step (a), a first image having several first pixels is picked up. In step (b), whether each first pixel of the first image is conformed to the hue standard of white pixels is determined. In step (c), whether each first pixel of the first image is conformed to the saturation standard of white pixels is determined. In step (d), whether each first pixel of the first image is conformed to the intensity standard of white pixels is determined. In step (e), the first pixel which is conformed to the hue, the saturation and the intensity standard is defined as a white pixel. In step (f), several pixels of a second image are adjusted based on the white pixels.

Description

200824469 TW325amine c • Nine, invention description: [Technical Field] The present invention relates to a white balance method and an image processing apparatus, and more particularly to a white balance method and image processing using HSI color space for calculation Device. [Prior Art]

With the continuous advancement of digital imaging technology, various digital image processing devices (such as digital cameras or digital video cameras) are widely used in daily life. Among them, in the digital image processing I, the phenomenon of color shift is a big difficulty encountered in digital image processing. According to the principle of black body radiation, the same pixel will have different colors at different color temperatures. For example, a piece of white paper will show a reddish yellow phenomenon at a low color temperature (about 1000~28〇〇κ), and a blue-green color will appear at a high ambient color temperature (about 8~12_κ). phenomenon. Therefore, in a digital image processing apparatus, white balance processing must be performed on the captured image so that the white pixels are healthy at any color temperature. The handsome pixels are also maintained in the original _ color, without the phenomenon of color cast. Please refer to Fig. 1, which shows a schematic diagram of the characteristic curve L of blackbody radiation. When performing self-balancing, first look for the white point pixels in the reference f. Traditionally, the white balance algorithm uses the black_shoot principle and its characteristic curve L to determine white point pixels. After the image processing device captures an image, the red H (.en) color value and the blue color value of the captured image are converted into a color space of γ, α, and α, 6

200824469 rW3253PA-C and according to the brightness signal Y (luminancesig). The abscissa is the color difference signal. The ordinate of the color difference is the horizontal axis of the curve L. (The color difference signal β then the origin is white. The white on the image Pixel root two direction =

The shifter has changed its position. If you go along the characteristic curve to the lower right ^ is the color of the tilting color. When the m characteristic curve L = =, it tends to a high ambient color temperature. In general, it is preferable to perform white balance correction on the characteristic curve L. For the white balance method based on the == system, the image must first be judged. However, the calculation process of the judgment is quite complicated. The f signal is called the difference signal η for the integral processing. General = a complex circuit operation component, and with a high capacity i note: Miscellaneous. Therefore, the cost of the circuit design and the calculation time are greatly increased. How to provide the self-balancing of financial efficiency == all kinds of difficult points that have existed for a long time, it is the second thing [invention] In view of this, the purpose of the present invention is to provide a white t image processing device It uses the standard white point in the HSI space color tube r chroma, and the brightness standard to determine the white point pixel, and then white ^ processing. The self-balancing method and the image-based county have at least the advantages of "calculation of the amount of calculation of the 200824469W3253Pac reduction circuit design cost" and "increased operation and small size and low computational complexity". According to one of the methods of the present invention, the method is to the + balance method. White Balance Master / 匕 以下 以下 : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : Color % value. (b) According to each of the first pixel matching: the rod standard and the blue color value 'determine whether each of the first pixels

Pixel =: Uue) standard. (c) According to each of the first-A value, the green position and the blue color value, it is judged whether each of the first-pixels conforms to the standard white point, and the (1) brother image is based on each of the first-junctions. (4) According to each of the first silly value, green color value and blue color value, judge the younger brother, "Is it not conforming to the brightness of the standard white point (Inte breaks the standard - the image - 1 1 standard, chroma standard and brightness pair兮 兮 f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f According to another aspect of the present invention, a shadow processing device includes an image 罝-+ 罝 像 像 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Image:! Color value and a blue color value. The picture buffer is used to store ί"(10)-image processing as early as including - tone judgment unit, one color two (four) L, "receiving degree judgment unit" and - adjustment unit. According to the red color value, green color value and blue color of each first pixel 8 200824469rW3253PA c 7 = touch each (four) - whether the pixel meets - county white point & quasi-color judgment unit ^ according to each pixel - () Color value and blue color value, judge 3, ~ know value,,,, 彔 夺 + + ·, 弟 疋Whether to pay the standard white point - like the red u: 〇 n) standard. The brightness judging unit determines each of the first=images according to the respective ##9, the cedar value, the green color value, and the blue color value, and the color standard, the chroma standard, and the brightness white of the standard white point are defined. One pixel is a white point pixel ^ value accumulation and calculation, according to the adjustment - the number of the second image = the understanding, the,, (4) job is more obvious as follows:, the sub-match with the drawing, for details Description [Embodiment] - Figure 2, green diagram showing a flow chart of less ==ΐ in accordance with a preferred embodiment of the present invention. In the present embodiment, the white balance method to the image "in the 5th (a) towel" capture - the first image Ε 1 (the first - image ♦ in the third figure) 'the first shadow $E1 has a plurality of; Value? Γ The first pixel has - red color value ~, - green: color color material: then 'in step (1), according to each of the first pixel 彔 color value. and blue color value', determine the δ δ standard Hue standard for white dots.

200824469^;W3253PA-C, in step (c), according to the red color value & green color value A and blue color value L of each first pixel, it is determined whether the first pixel meets the standard white point chroma ( Saturation) standard. Next, in step (d), determining whether the first pixel conforms to the brightness of the standard white point according to the red color value & green color value and the color L of each of the first pixels (the shirt (4) step (4)' defines the standard. The color of the white point ^ quasi ^ degree # quasi-and the degree of freedom of the standard - the pixel is a white dot pixel. Although all the first pixels of the image - the image is judged to be completed, then (1), the white point pixel corresponding The red color value, the %= and _, the green (four) value into (four) plus the calculation, according to the job; j like (the brother one image E2 is shown in Figure 3) of the multiple white balance method Using the coffee color space as the standard, ff, complex integral operation can determine the white point pixel, and reduce the complexity of the calculation and the complexity of the operation. μ ^ The above steps (b), steps (the other half is not limited only In the execution sequence of the second \ \ and the first step (1), the following:: The white balance method of the present invention can also be: first:: Lai... then step, step (b), step (c) and cattle) The order of execution is either synchronous, and the Y = t columns are combined into six technical areas of the invention. The order of the executables is not limited to the fact that the pixels need to pass the judgment of step (d) before they can be ~) (c> ^ if - the first image is not white, the first pixel is a white pixel. When the determination step is not passed, the first image Ί 200824469 can be directly defined as a non-white pixel, and other judgment steps are omitted. For example, if a first pixel is determined by step (b) In order to not meet the standard hue standard of the white point, the first pixel may directly omit the steps (c) and (d) and define the first pixel as a non-white pixel. Please refer to FIG. 3, which is A schematic diagram of an image capture device 100 in accordance with a preferred embodiment of the present invention. The image processing device 100 is, for example, a digital camera, a digital video camera, or a necessary device for a mobile phone having a camera lens. The image processing device 100 includes a The image capturing unit 110, the image buffering unit 120, and the processing unit 130. The image capturing unit 110 is configured to capture the first image E1 and the second image E2. The image capturing unit 110 is, for example, an electronically coupled image. Sensor (CCD. The image sensor or a complementary metal oxide semiconductor image sensing (CMOS Image Sensor) 0 buffer buffer 120 is used to store the first image E1 and the second image E2. The kneading buffer 120 is a flash memory. The processing unit 130 includes a tone determining unit 131, a chroma determining unit 132, a brightness determining unit 133, and an adjusting unit 134. The processing unit 130 is a built-in control circuit. The chip or the built-in firmware or software, the computer readable program storage medium. The hue judging unit 131, the chroma determining unit 132, the brightness judging unit 133, and the adjusting unit 134 each have a function. The color tone judging unit 131 determines whether each of the first pixels conforms to the standard white point hue (Hue) according to the red color value & green color value & and blue color value A of each of the first pixels.

200824469rW3253PA-C " Standard. The chroma determination unit 132 determines whether each of the first pixels conforms to the standard white point saturation criterion according to the red color value ', the green color value & and the blue color value 4 of each of the first pixels. The brightness determination unit 133 determines whether each of the first pixels conforms to the standard white point intensity (Intensity) standard based on the red color value ', the green color value & and the blue color value A of each of the first pixels. If a first pixel meets the standard white point color standard, chroma standard, and brightness standard, then the first pixel is defined as a white pixel. The adjusting unit 134 accumulates and calculates the red color value & 10 green color value & blue color value & and adjusts the plurality of second pixels of the second image E2. The image processing apparatus 100 of the present embodiment has the above-described structural features and uses the HSI color space as a criterion for judging, and the white point pixels can be judged without performing complicated integration operations. The amount of calculation in the image processing apparatus 100 is greatly reduced, and the complexity of the circuit and firmware/software design of the processing unit 130 is greatly reduced. The above various steps and preferred embodiments of the various elements are described in further detail below. • In step (b) of Figure 2, the standard white point tone standard is used as a criterion for judgment. In this embodiment, the relationship between the red color value ', the green color value & and the blue color value & is defined as: \call, m=4 <Gq> BqJ H2 = 2

Bq> Rv H3=l The red color value & green color value A and blue color value & according to the above two two relations and the transfer law, can be arranged into the following six combination relations, the six The combinations correspond to six tone values 乂=1~6, respectively. Tone value 12

W3253PA-C 200824469 对应 Corresponds to the tone-tone area's tone value % and so on, the tone value '=6 pairs / should be in the second tone area. Righteousness, heart two, younger brother, and tonal area.

Bq>Rq>Gq, ^ =i/l + /f3 = 5 Rq>Bq>Gq, Hq^m Gq>Bq>Rq9 + WBq,=2 [WRq,=l ▲Please ^^第4图,缘缘Show the first tonal area (a ^ map of the modulation area ("). In the fourth picture, the six colors (5), .R), green (Green; G), ^ = six corners respectively - the first region; ;: is the relationship between the two, and the color tone..., the area between the green G, corresponds to the second > 5), the relationship between the wide color R and the yellow γ corresponds to qq ? And the tone value 乂=6. Basically, a standard white point shows different colors under different ambient color temperatures. That is to say, in different color temperature environments, the standard white point red color value, the green color value S and The relationship of blue color value will be different. Generally speaking, at low color temperature (about 1000~2800K), the standard white point will appear reddish yellow and fall into the sixth area of the tonal value. At high color temperature (about 8000~12000K), the white point will show a blue-green phenomenon, and fall into the first area where the tone value is =1. 0 13 20082446aw3253PAc • ^ 'Please refer to the figure W for its standard white Point no The experimental data table of the hue area of the ring brother color. As shown in Fig. 5A, it is known by the actual 2; the standard white point falls on the f color (4) (9) when the ambient color temperature is _Κ and 65 (10) K. Standard white point In the ambient color temperature S42G0KB temple, = the fifth color (^=5) ° standard white point in the ambient color temperature is _ 〇 [ only in the eighth tonal area (? 6). The standard white point in the ambient color temperature is 2_κ, falls on The second hue area is 2). Therefore, the standard white point is distributed in the first hue area (%=1) to the sixth hue area in various rings. The standard white point is distributed at different color temperatures. Different tonal areas, it is more convenient to judge the standard white point. By this, the standard white point red color value & and the color shirt value can be adjusted by two sets of appropriate ratios, which can make the standard, point $ The tonal values fall into the first tonal region (intelligence, or the sixth tonal region (:). The reference to the fifth image is shown in FIG. 5, which shows that the standard white point of the fifth image is adjusted by the first ratio Ρ1 and the second ratio Ρ2. Tone area comparison table. Regardless of the ambient color temperature, multiply the standard white point red color value and the blue color value g by the first ratio. Ρ1 (in the present embodiment, 丨·66 is taken as an example for explanation) and the second ratio P2 (in the present embodiment, 〇·73 is taken as an example), multiplied by the red color value of the first ratio P1 \ is greater than the green color value q, and the green color value is greater than the blue color value a multiplied by the second ratio P2, that is, falls in the sixth tone region (乂 = 6). Please refer to Figure 5C, which shows the 5A The standard white point of the figure is adjusted by the third ratio P3 and the fourth ratio P4. Regardless of the color temperature of the environment, the red color value of the standard white point &

, W3253PA-C 200824469 is multiplied by the third ratio P3 (in the present embodiment, 〇·53 is taken as an example) and the fourth ratio P4 (in the present embodiment, exemplified by 1.83) The red color value A multiplied by the second ratio P3 is smaller than the green color value q, and the green color value A is smaller than the blue color value ' of the fourth ratio P4, that is, falls on the first color tone region (). ° Thereby, regardless of the ambient color temperature, multiply the red color value & of the first ratio P1 by more than the green color value q, and the green color value a is greater than the blue color value of the second ratio P2 and multiplied by the third ratio When the red color value of p3 & is smaller than the green color value 7 ' and the green color value S is smaller than the blue color value A of the fourth ratio P4, it can be determined that the pixel conforms to the standard white point color standard. The first ratio P1, the second ratio p2, the third ratio P3, and the fourth ratio P4 are different according to different image capturing units. According to the image capturing unit operated, the metering unit can measure the corresponding first ratio P, the second ratio p2, the third ratio 兕, and the fourth ratio, the same day, the same day, the third and sixth pictures, Figure β shows a detailed flow chart of step (b) of Figure 2. As shown in FIG. 3, the first determiner 1311 and the second determiner (4) f 6 map step (bl), the first determiner 1311 receives the respective pixels, ., 彔 color value, red color value & and blue color value ^, and judge = multiply the pixel by the first ratio? Whether the red color value & 1 is greater than the I color I value of 9, and the green color value & is greater than the multiplied by the second color value A. Fox then, in step (b2) of Fig. 6, the green color of the first pixel 15 200824469, —^V3253PA*C color value 〃, red color value A and blue color value & are transmitted to the determiner 131/ , Asian judge each pixel - multiply the red color value of the third ratio P3?疋No is less than the green color value q, and the green color value G? is less than the blue color value fork multiplied by the fourth ratio P4. Then, in the judgment result (b3) of Fig. 6, if the first image is judged by the first-determiner 1311 and the second determiner 1312, the first pixel conforms to the standard white point hue standard. In the judgment result of the map ((4) towel, silk-pixel does not pass any judgment of the judge 1311 or the second determiner 1312, the first pixel does not conform to the standard white point color standard. In the sixth figure In the flow chart, the first step (执行) and then the step (10) are taken as an example. However, the steps (Μ) and (5)) = the row order can be changed, or simultaneously, and the invention can also be achieved. aFig. 2 1 (4) towel, using the standard white point of the chroma base r saturation is also called saturation, the chroma can be calculated by: each, in: green color value % and blue color value ' Got it. The calculation formula of the chroma value is: 255. The relationship between the color and the color temperature of the standard white point is shown in Fig. 7. Due to the characteristics of the image silk unit 11(), the chroma will tend to rise at the high and low end. In a certain high and low environment, = Μ ‘ standard white point of money according to the actual environment lighting conditions, inevitably 仏 the following three "---- less than the first - chroma door remaining 16

200824469W3253PA.C The second chroma H槛“, or between the first – chroma threshold and the second chroma door, between the values. Through the experiment, you can get the standard white point corresponding to the first - , the degree of the weight of the door and the second chroma door interpolation ^. If the value of a pixel of the ^ Μ Μ 所 所 所 所 以上 , , , , , , , , , , , , , 躲 躲 躲 躲 躲 躲 躲 躲 躲 躲 躲 躲The color-shadow service and the second chroma threshold value are different according to different image capturing units 110. However, the designer can measure the corresponding image according to the operated image capturing unit 110. The first chroma threshold value and the second chroma threshold value. ^ Please refer to Fig. 3 and Fig. 8 at the same time, the _ will show the step (C) of Fig. 2. The detailed flow chart. As shown, the chroma determination unit 132 includes a shirt degree calculator 1321 and a third determiner 1322. First, in the step (cl) of the figure, the chroma calculator 1321 receives the red color value of each of the first pixels, Green color value, and blue, color value ', and calculate the chroma value, where the chroma value is x255. Then, in step (c2) of the eighth figure, the third After judging the received chroma value ^, and determining whether the chroma value k is full ^ is one of the three conditions. (3) The above and then, in the judgment result (c3) of Fig. 8, if the third brother (10) The riding (ie, the step ((2) is established) ^ the pixel is in accordance with the standard white point chroma standard. In the judgment result (c4) of Fig. 8, if the first-image two-determiner 1322 is judged (ie, step (c2) Not established), then ^^ is not in accordance with the standard white point chroma standard.

200824469rW3253PA-C ‘ In step (d) of Figure 2, the standard white point brightness standard is used as a criterion. The image capture unit no has a limited dynamic range. In the dynamic range, the image capturing unit 110 can sharply present the brightness of the scene. When the ambient illuminance is too high or too low to exceed the limited dynamic range of the image capturing unit 11 ,, the brightness of the scene cannot be realistically presented. Please refer to Figure 9, which shows the relationship between the brightness of the standard white point and the illuminance. In Fig. 9, the horizontal axis represents illuminance and the vertical axis represents luminance. The curve between a and B points is roughly linear, and the curves other than the points A and β are nonlinear. The curve between A and Β has a brightness reference value, and the curve outside the a and β points does not have a brightness reference value. This relationship curve will vary depending on the image capturing unit 11〇. According to the above two points, the first brightness threshold value Α and the second brightness threshold value /2 are set. In the present embodiment, the first luminance threshold A is 2 〇〇, and the second luminance threshold & is 1 〇. If the brightness value of a pixel is between the first brightness threshold Α and the second brightness threshold /2, then the pixel has a brightness judgment value, that is, a brightness standard that meets the standard white point. On the other hand, if the pixel is not between the first brightness threshold value and the second brightness threshold value/2, the pixel does not have a brightness judgment value, that is, does not meet the brightness standard that the standard white point should have. Please refer to Fig. 3 and Fig. 10 at the same time. Fig. 1 is a detailed flow chart showing the step (d) of Fig. 2. As shown in Fig. 3, the brightness judging unit includes a brightness calculator 1331 and a fourth judging unit 1332. First, in the step (d1) of the first graph, the luminance calculator 1331 receives the red color value eight, the green color value q, and the blue color value % of the respective first pixels, and calculates the luminance value 々. 18

200824469 : W3253PA-C . The brightness value /?=^^+s+Wx255. Next, in the step (d2) of Fig. 10, the system receives the luminance value of 4, and determines whether the luminance value is between - the first value is 1332 々 value 々 and a second luminance threshold value /2. Then, the brother-shell door is then, in the judgment result (d3) of Fig. 10, if the judgment of the fourth_device 1332 is passed, the brightness of the first pixel is fresh. «•合标准白 In the judgment result of the 10th figure (d4) towel, if the fourth judgment (4) 32 rides, the first-pixel material meets the brightness standard of the rod. Dingkou knows early white point Through the above judgment procedure, if the first pixel meets the standard white, chroma standard and brightness standard, the first white point pixel is defined. And repeat the above-mentioned sequence of the first pixel. & like all" Then, in step (1)t of Figure 2, and through the accumulator and: the red color value of the white pixels, the green color value, the blue color: value, 仃 add and fresh, For the procedure of adjusting the second shadow. ^ ...Please refer to the flowcharts of Fig. 3 and Fig. 11 and Fig. 11_(Fig. 2(b)) for details. As shown in Fig. 3, the adjustment unit 134 includes a first accumulator 1341, a second accumulator 1342, a third accumulator 1343, - a first-counter || 1344, a second calculator 1 and three

Calculator 1346. - °T first 'in step (fl) of Fig. 11, the first accumulator 19

200824469w.2rpAC

-*W^j25jPA C receives the red color values ' of the white point pixels, and accumulates the red color values & a red accumulated value h. The white dot pixels are next, in step (f2) of FIG. 11, the second accumulator 1342 receives the green color values & the brightness of the white points, and accumulates the green color values A as a green accumulation. value. The white dot pixels are then, in step (f3) of FIG. 11, the third accumulator 1343 ® receives the blue color values 'the brightness of the white spots', and accumulates the blue color values 'as a blue Accumulated value. The white point pixels are next. In step (f4) of FIG. 11, the first calculator 1344 receives the red accumulated value IX and the green accumulated value ΣΧ, and calculates a red accumulated value of the white point pixels. \ and the ratio of the green accumulated value Σ% is the red gain value of the white point pixels of the white point pixels • η = the white point pixels one by one of the white point pixels 〇 Then, in the step of Figure 11 (f5 In the second calculator 1345, the blue accumulating value and the green accumulating value are received, and the blue accumulating value is calculated, and the ratio of the white point pixels Σ& and the green accumulating value ΣΑ is the blue gain value. Some white point pixels, the white point pixels R, the white point pixels, and the white point pixels. Next, in step (f6) of FIG. 11, the third calculator 1346 20 200824469

A TM · /W3253PA-C receives the second pixel of the red gain value I", the blue gain value 5_, and the second image E2. The red color value & of all the second pixels in the second image E2 is multiplied by the red gain value, and the blue color values & all the second pixels in the second image E2 are multiplied by the blue gain value. In the flow of Fig. 11, although the steps (Π), (f2) are performed first, and then the step (f3) is executed as an example. However, the order of execution of steps (fl), (f2) and step (f3) may be interchanged or performed simultaneously, and the object of the present invention may also be achieved. * Similarly, the execution sequence of step (f4) and step (f5) can be changed, or simultaneously, and the object of the present invention can be achieved. The step of accumulating steps (fl) to (ί3) may be performed after all the first pixels are determined in step (e). Or, when a new white point pixel is defined in each step (e), the accumulation process is performed immediately. Thereby, the white balance processing of the second image E2 is completed. Of course, the image processing apparatus 100 can further adjust the subsequent captured image according to the white pixels of the first image E1. Further, the image processing apparatus 100 may cyclically repeat the above-described white balance method for a predetermined period of time or a predetermined number of cycles. The white balance method and the image processing apparatus disclosed in the above embodiments of the present invention determine the white point pixels by using the standard white point in the HSI space color standard, the chroma standard, and the brightness standard, and then perform white balance processing. The white balance method and the image processing apparatus have at least the following advantages: First, "the calculation amount is small and the calculation complexity is low": in the calculation process of determining whether each of the first pixels is a white point pixel, only the size ratio 21 is required. 200824469rW3253PA-c ^ Yes, without any integration calculus. Significantly reduce the amount of calculation and the complexity of the calculation. Second, "reducing the cost of circuit design": In the calculation method of size comparison, the circuit design can achieve the purpose of white balance calculation by simple logic operator. Significantly reduce the complexity and cost of circuit design. Third, "increasing the operation speed": As described above, the calculation amount and the calculation complexity are reduced, and the overall calculation speed can be greatly reduced. It can even speed up the cycle of white balance calculations, making all the presented faces closer to the true color. In view of the above, the present invention has been disclosed in a preferred embodiment, and is not intended to limit the present invention. It will be apparent to those skilled in the art that various changes and modifications can be made without departing from the spirit and scope of the invention. Therefore, the scope of the invention is defined by the scope of the appended claims.

twenty two

W3253PA-C 200824469 [Simplified Schematic] FIG. 1 is a schematic diagram showing a characteristic curve of black body radiation; FIG. 2 is a flow chart showing a white balance method according to a preferred embodiment of the present invention; The image capturing device of the preferred embodiment of the present invention is not intended, and FIG. 4 is a schematic view showing a first to sixth color tone region; FIG. 5A is a color white region of a standard white color at different ambient color temperatures. The experimental data table; Figure 5B shows the standard white point of Figure 5A after the first ratio and the second ratio adjusted to the hue area comparison table; Figure 5C shows the standard white point of Figure 5A after the third ratio and The fourth ratio adjusted tone area comparison table; the sixth figure shows the detailed flow chart of the step (b) of the second figure; the seventh figure shows the relationship between the standard white point chroma and the ambient color temperature. A detailed flow chart of step (c) of FIG. 2; a graph of brightness versus illuminance of a standard white point; and a flow chart of step (d) of FIG. 2; Figure 11 is a flow chart showing the details of step (f) of Figure 2. 23 200824469 W3253pa-c [Key component symbol description]

L: characteristic curve E1: first image E2: second image 100: image processing device 110: image capturing unit 120: face buffer 130: processing unit 131: 1 tone determining unit 1311: first determining unit 1312: Second judging unit 132: chroma determining unit 1321: chroma calculator 1322: third judging unit 133 · · brightness judging unit 1331: brightness calculator 1332: fourth judging unit 134: adjusting unit 1341 first accumulator 1342 second Accumulator 1343 Third Accumulator 1344 First Calculator 1345 Second Calculator 1346: Third Calculator

TW3253PA-C 200824469 —v/y u B ··Blue C : Cyan G : Green Y : Yellow R : Red

M : magenta P1 ·· first ratio P2 : second ratio P3 : third ratio P4 : fourth ratio Rq : red color value Gq · · green color value blue color value Sq : chroma value tone value ^Tl first Chroma threshold value St2 Second chroma threshold value h: First brightness threshold value h: Second brightness threshold value Rgain: Red gain value Bgain: Blue gain value: Red accumulated value These white point pixels: Green accumulated value The white point pixels Σ A : blue accumulated value of the white point pixels 25

Claims (1)

200824469rw3253PA.c X. Patent application scope: 1. A white balance method, including: (a) After taking a first shadow, #pixel, each material-material distribution===having a number of first-blue color Value; color, value, green color value, and (1) according to each _ pixel And the blue color value, the judgment _ the first value of the color value adjustment (Hue) standard; the pixel 付 whether to pay - the standard white point color (c) according to each of the first image and the blue practice, judge - image The green color value (Satum1〇n) standard pixel 付 whether to pay the standard white point color (4) according to the age t (four) - the image right and the blue color value, determine the first .H 3,,, and the color value of the color τ + · +, brother - whether the pixel meets the standard white point brightness (Intensity) standard; children:) white standard, chroma standard and Tokyo as a white dot pixel; and ... (1) the axis white point pixel corresponding The red color values, the blue color values, and the touch color values are accumulated and calculated to adjust a plurality of second pixels of a second image. 2. The white balance method as described in the scope of claim patent item The step (b) includes: (bl) determining whether the red color value multiplied by the first ratio is greater than the green color value, and whether the green color value is greater than the blue color value multiplied by the second ratio; 26 V3253PA -C 200824469 / (b2) depends on whether the red color value of the third ratio is less than the green color value And the color value of the lining is to the value of the fourth _; and a 々 / (b3) if the steps (10) and (10) are satisfied, the gradation is in accordance with the standard of the white point of the standard white point. For example, the white balance method of the 专 专 围 , , , , , , , , , 第 第 第 第 第 第 第 第 第 第 第 第 第 第 第 第 第 第 第 杨 杨 杨 杨 杨 杨 杨 杨 杨 杨 杨 杨 杨 杨Cl) calculating a chroma value according to the red color value, the green color value and the blue color value of each of the first pixels; (c2) according to the illumination environment and the image capturing unit, the following two colors One of the discriminating conditions: less than Chu # > Ding is less than a younger brother and a chroma threshold; ΐ大=弟二槛值; or between the first - chroma threshold and the brother-shape depreciation Where the first-color threshold is greater than the second chroma threshold, and the touch value satisfies the specified color condition; and & j (if: step (c2) is established, then the A pixel is in accordance with the whiteness standard of the standard white point. 4. The white balance method according to claim 1, wherein The step (d) includes: calculating a brightness value according to the red color value of the first pixel, the green color value, and the blue color value; U2) determining whether the brightness value is between the -th brightness threshold and - Between the second brightness threshold value; and 27 W3253PA-C 200824469 (d3) If the step (d2) is established, then the brightness standard of the first image standard white point is 。 Ό 5. 5. As described in claim i The white balance method, the step (f) includes: ^ (fl) accumulating the red color values of the white point pixels - red value added; 匕 system added value; (ί2) accumulating white point pixels (4) The color value is a green accumulated value; ((7) the blue color values of the white pixels are accumulated as a blue tired gain value ((4) according to the red accumulated value and the green accumulated value, a red gain value color accumulated value is obtained The green accumulated value is obtained as a blue image (== color gain value and the blue gain value is adjusted to the second image. The image processing device includes: an image capturing unit, which is used by @& Take a younger one image and a first-contention---green color value and = color::" And the ( (4) device _ stores the _th image and the second image; a processing unit, comprising: a tone determining unit μ according to the red color of each of the first pixels 28 'W3253PA-C 200824469 color value, The green color value and the blue color value determine whether the first pixel meets a standard white point hue (Hue) standard; the chroma test unit is based on the red color value of the first pixel, the green color a value and the blue color value, determining whether the first pixel meets the standard saturation of the white point (Saturation) criterion; a brightness determining unit, according to the red color value of the first pixel, the green color value, and the a blue color value, determining whether the first pixel meets the standard white point intensity (Intensity) standard; if the first pixel meets the standard white point color standard, chroma standard, and brightness standard, defining the first pixel as a white dot pixel; and an adjustment unit that accumulates and calculates the red color values corresponding to the white dot pixels, the blue color values, and the green color values, to adjust a second image Several second pixels. 7. The image processing device of claim 6, wherein the color tone determining unit comprises: a first determiner that receives the green color value, the red color value, and the blue color of each of the first pixels a value, and determining whether the red color value multiplied by the first ratio is greater than the green color value, and whether the green color value is greater than the blue color value multiplied by the second ratio; and a second determiner receiving each of the The green color value of the first pixel, the red color value, and the blue color value, and determining whether the red color value multiplied by the third ratio is less than the green color value, and whether the green color value is less than the fourth ratio The blue color value; wherein, if the first pixel passes the judgment of the first determiner and the second judgment, the first pixel conforms to the standard The standard of the hue of white spots. 8. The image processing device of claim 6, wherein the first image and the second image are captured by the image capturing unit under an illumination environment, the chroma determining unit comprising: The chroma calculator receives the red color value, the green color value and the blue color value of each of the first pixels, and calculates a chroma value; and a third determiner receives the chroma value, and According to the illuminance environment 10 and the image capturing unit, one of the following three conditions is specified: less than a first chroma threshold; or greater than a second chroma threshold; or between the first chroma threshold And the second chroma threshold value, wherein the first chroma threshold is greater than the second chroma threshold, and the third determiner determines whether the chroma value meets the specified chroma determination condition; Wherein, if the first pixel passes the judgment of the third determiner, the first pixel conforms to the standard white point chroma standard. The image processing device of claim 6, wherein the brightness determining unit comprises: a brightness calculator, configured to receive the red color value, the green color value and the blue color of each of the first pixels a value, and calculating a brightness value; and a fourth determiner, receiving the brightness value, and determining whether the brightness value is between a first brightness threshold and a second brightness threshold; wherein, if the A pixel is judged by the fourth determiner, and the first pixel conforms to the standard white point brightness standard. 10. The image processing apparatus according to claim 6, wherein the adjustment unit includes: a first accumulator for accumulating the pixels of the white point pixels. The red color value is a red accumulated value; a second accumulator for accumulating the green color values of the white point pixels is a green accumulated value; and a third accumulator for accumulating the white point pixels The blue color value is a blue accumulated value; a first calculator receives the red accumulated value and the green accumulated I value, and calculates a red gain value; a second calculator receives the blue Accumulating the value and the green accumulated value, and calculating a blue gain value; and a third calculator receiving the red gain value, the blue gain value, and the second pixels of the second image, and The red gain value and the blue gain value adjust the second pixels of the second image. 31