TW200931342A - Image correcting method, image correcting unit and image capture apparatus using the same - Google Patents

Abstract

An image correcting method, an image correcting unit and an image capture apparatus using the same are provided. The image correcting method is used for correcting the brightness of a target image according to a first image, a second image and a third image. The target image has plenty of pixels to be adjusted. The first image is composed of a plurality of first pixels. The second image is composed of a plurality of second pixels. The third image is composed of a plurality of third pixels. The coefficients used to correct the image brightness are derived from one of the first pixels, one of the second pixels and one of the third pixels. The image correcting method includes the following steps. First, a pre-determined brightness value is set. Then, several representative basic correcting coefficients are obtained according to a portion of the first pixels and the pre-determined brightness value. Each representative basic correcting coefficient is corresponding to a portion of the first pixels. Next, several representative optimum correcting coefficients are derived from the representative basic correcting coefficients and the second pixels. Then, a plurality of pixel-optimum correcting coefficients are derived based on an operation and the representative optimum correcting coefficients. Each pixel to be adjusted corresponds to one of pixel-optimum correcting coefficients. Then, the color correcting coefficients are obtained from the pixel-optimum correcting coefficients and a third image. Finally, the brightness of each pixel to be adjusted is corrected according to each pixel-optimum correcting coefficient and the corresponding color correcting coefficient.

Description

200931342 . 九 九 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明 发明BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image capturing method and an image capturing device for image processing, and particularly relates to a species and a memory #1 Ο ❾ [Prior Art] With the advancement of technology, consumption The improvement of the image capture device, the industry is constantly working on image processing technology, and the imaging quality of the device. Among them, the image capturing image system is composed of a number of elements, such as the image of the ^ and the darker part of the four (four) questions, so that = how to convert the brightness of the image, The industry is committed to; ^ this, sex, eight w: The correction method is based on the lens and the light sensing component's special tricks, and calculates and stores the gain values corresponding to multiple pixels. After that, the image is searched and placed. The #彡像 uses the gain values to adjust each of the two: 'Because the shadow of the image is mostly rounded, the gain value needs to be lost in the recovery body. Medium's traditional image correction method requires a lot of notes. As a result, the cost of the image capturing device is increased. Therefore, 'how to propose an image correction method, image correction unit and 7:31:31 jojor^. =:: capture device to solve the above problems, it is currently research and development [invention content] In view of this, the present invention is related to - correction The unit and the image of the system are selected: like the correction method, the image is divided into two parts to obtain the basic brightness of the school. According to the first part of the image, the unit will be based on the basic brightness of each unit. Two image degree correction coefficients. By means of the branch 4* number, the image correction method and image alignment of the present invention are optimized for each bright image to be adjusted: correcting the 'number of numbers' and "effectively correcting the image 4 = required brightness according to the present The aspect of the invention: the advantages of "consistent". Using a first image and a second image correction method, the image has a plurality of to-be-tuned-the brightness of the target image. The second image has a plurality of singular images, and the second image has a plurality of first pixels, which are obtained from correction data corresponding to the first book + the pixels to be adjusted. The image correction method includes obtaining the values of one of the second elements; secondly, according to the part:: a preliminary check: first, the set-predetermined brightness represents the basic brightness correction and the predetermined brightness value to obtain more representative basic teachers. The receiver's this coefficient according to the second elements; then a plurality of successive brightness corrections and these representative optimization degree correction coefficients 200931342 brightness correction data according to another aspect of the present invention, A second-two storage unit, a second storage unit, and a packet-second operation unit are proposed. The first-storage ‘two-two arithmetic unit and the morpheme have a-color value. The second block is to store a plurality of pixels, and each of the ❹ 权 positive coefficients 'each represents a brightness calibration = storing a plurality of representative luminances. The first arithmetic unit uses ‘, 糸 corresponds to the portion of the 昼 昼 = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = The second arithmetic unit corrects the color value according to one of the primes.杈 杈 系数 获得 获得 获得 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼 昼;; like two = patching... The image is configured in a Bell pattern and used to capture - images. Shadow τ. For the image correction unit: School:::♦ Each element has a -one-storage unit, a color value of t and includes a second operation unit. The first:: save =::- the first - arithmetic unit and - save the early 70 for the library to store a number of representatives of the mourning households to save these sorrows. The second positive coefficient corresponds to a part of::, a positive coefficient, and each of the representative luminances represents a brightness correction coefficient operation. The first arithmetic unit is used to correct the coefficient per degree. The second is f, which is one of the pixels of each pixel, and the luminance correction coefficient is obtained; the color value of each pixel and the corrected color value of each I. Color Complement The 200931342 plug-in unit is used to interpolate each single-color color value into a tri-color value. The color space conversion unit can be used to convert each of the pixel three color values out of a corresponding brightness value. In order to make the above-mentioned contents of the present invention more comprehensible, the following is a detailed description of the present invention and is described in detail below with reference to the accompanying drawings: [Embodiment] 2A, 2B, and 3, FIG. 1 is a block diagram showing the main functions of the image capturing device according to the first embodiment of the present invention, and FIG. 2A is a schematic diagram showing a portion of the first pixel of the first image. FIG. 2B is a schematic diagram showing a portion of the first image representing a basic brightness correction coefficient. FIG. 3 is a flowchart of an image correction method according to the first embodiment of the present invention. In the embodiment, the image reclining device obtains a plurality of representative basic brightness correction systems based on a first image and a predetermined brightness value, and obtains the brightness correction records of the silk surface and the brightness of the second image. The brightness correction coefficient is optimized by the = table, and the brightness of a target image is corrected according to the representative representations. As shown in FIG. 1 , the image includes at least one image sensing unit ιι〇, a job (10):: color interpolation unit 130, and a color space storage unit 、 21, a second cognac 122, and a Heterogenous elements 123 and 124. The image capturing device 100 4 is a device, such as (four), and an electronic device, such as an image-capturing electronic device. The 200931342 device is, for example, a camera-enabled mobile communication device or an image digital capturing device. ❷ © The image sensing unit 110 is configured to capture a face and output a first image configured in a Bayer pattern. The first image has a plurality of first pixels, and some of the first elements such as ☆ 〇 、, ‘1» and hu and (10) hearts + and are shown in Figure 2A. In the first image %_ configured in the Bell pattern, each of the first pixels has a pixel value, such as red, green or blue. In order to obtain accurate brightness, the first image is preferably a white image. The white image is obtained, for example, by image sensing unit ΐι under normal illumination, photographing - white paper or - white plane. The image correction sheet 7L 12G stores the correction coefficient required for correcting the image output from the image sensing unit 11G. Here, in order to obtain the brightness of the _th image, the first image is directly output to the color compensating unit 13A. The color interpolation unit 130 sets the first image &gt; = difference configured in the Bell pattern to the first image ' ‘ having the image of the R G B * image, wherein each of the i-denams has red, green, and blue at the same time. The color space conversion unit has the first image of the job image data converted into the first image having (4), wherein each of the first pixels has a bright calculation representative of the basic brightness red money μ value, and then the coefficient is stored to the image correction list. The set of silk foundation exemption corrections represents the basic brightness correction coefficient two second storage unit 122. After each, then by the #份之第昼素. 'The shirt is like C5t〇w, in which the second image &lt;^_ has the Bell pattern configuration ^ The sensing unit U draws another side, and loses 200931342 i yyjo^om Image capturing device 1〇〇 The prime has a - pixel value. In order to make the best image - color image, :: into the error. The first image of the second image t is stored in the first image storage unit 120. The first U is stored in the second storage unit 122 in order to calculate the gold-based basis weighting coefficient stored in each second book as the element m according to the stored brightness correction coefficient. The second operation list and the corresponding pixel base brightness:::= the second image of the pixel value sample configuration (〆(四) is transmitted to the right after the Bell Figure 13〇=^彳_;^彡^^ 'The color compensation unit once, the first shirt image is fine ~ the complement is the first with RGB image data, the space conversion unit 14 is used to convert the image with the _ shadow, the factory shirt image c to have YUV image data. Once; == after obtaining the second image after correcting the brightness, the J 2 = the base correction coefficient is adjusted to represent the optimized brightness correction coefficient, and the set of the representative brightness correction coefficient is stored to the image correcting unit 120 The first remaining unit 122. The image sensing unit 110 is further used to extract another side surface, and input the target image of the Bayer pattern configuration, and the image has two I: the first unit 121' The target image is one m: and each pixel to be adjusted has a pixel value. The unit 123 is further configured to calculate the representative brightness correction coefficient stored in the second storage unit 122 to correspond to each of the to-be-received 12 200931342 TW3838PA Difficult to μ gold, bright = positive coefficient. Second luck The unit 124 is configured according to the pixel value of the to-be-adjusted pixel and the corresponding correction coefficient stored in the storage unit, and is configured to be corrected in the shape of the pixel: the standard=image matching η color complementing unit m is used for correcting In the latter case, the brightness of the RGB image data is the brightness of the positive target image. As for the present embodiment, the main steps of the positive method are as follows in the third figure, and together with the 2A and 2B pictures. The component labeling method is described as an example. The image correcting method in this embodiment is, for example, the following steps in the figure 3, but is not limited thereto. This technique can be based on the domain + (4) common knowledge method. The actual application status is as follows: The image correction method of this embodiment includes at least a step. First, as shown in step (a), the setting is shown, and the coefficient is corrected according to the second base degree. , as in step (c), the plurality of representative optimizations adjust the representative basic brightness correction coefficients to: coefficients. Then, as shown in step (4), the root optimization brightness ^ positive^ represents the optimized brightness correction coefficient to obtain a plurality of elementary brightness coefficients. Two each: adjustment Corresponding to each of the prime quality optimization brightness correction coefficients #? r (e), according to the implementation method of each element step, the following image is detailed: each of the 13 200931342 specifications Mx# first image includes The plurality of blocks 'make each block correspond to a portion of the first pixel and a portion of the pixel to be adjusted. In this embodiment, the first image system includes a block, a w+, and an A.+U+ 1, and the size of each block is wxw as an example, as shown in Figure 2A. Please refer to Figure 4, which shows the detailed flow chart of step (b) of Figure 3. Step (1) The method for obtaining a plurality of representative base brightness correction coefficients includes steps (bl) and (b2) ° first, as shown in step (bl), respectively selecting a first element from each block of the first image. . Next, as shown in the step (b2), the respective representative base luminance correction coefficients are obtained based on the predetermined luminance values 3^ and the luminance values of the selected first pixels, respectively. In the present embodiment, the representative base exemption correction coefficient G«V of the block is obtained by the equation (1): / heart.................... .............equation (1) • Where, ~·•(4) is the self-block, the value of the first element selected in y, and wide w &lt;;#,. . <State, and Bu), ww, Mβ, and 6 are positive integers. In the present embodiment, the first first 昼 戽 ^, % _, 尸 _, ' and ^ are selected from the block, the state, the state, the 5i+w and the foot. +1, / +1 respectively. The representative base luminance correction coefficients ^, G, Μ, and Gi +1 are obtained, that is, a = 〇 and b = 0, as shown in FIG. 2A. In the present embodiment, the maximum brightness value is preferably selected from the first element as the predetermined brightness value. After the above steps (b1) and (b2), each representative base temperature correction coefficient is obtained, and step (c) is carried out. Next, please refer to Fig. 5, which is not the detailed flowchart of step (c) of Fig. 3. The method of obtaining a plurality of representative optimization brightness correction coefficients in the step (c) includes the steps (cl) to (c3). 200931342

i WJ8J8t*A first 1 ' as shown in step (Gl) 'by bilinear interpolation (10) i brewed (10) chat (five) (10)) from the genital silk foundation eclipse: 昼 基础 basic f correction coefficient. Since the second storage list is obtained by the first element selected from the parent block, the representative basic brightness correction coefficient, such as the base brightness correction coefficient heart, G, , ❹ ❹ 昼 - 昼 昼 : : : :: Number of hearts, calculated by bilinear interpolation. The unselected first element is, for example, Figure 2B: the first element shown in the figure. The following is a description of the pixel-based luminance correction coefficient of the first-halogen element by the bilinear internal difference method. As shown in Figures 2A and 2B, block 5 represents the base luminance; / 5 calls and _ 食 ρ, ρ only positive coefficients ^ heart, 丨, G~ and %, y+1 are respectively Dan ', / / « '; m 丨 m ' (7 + 1), household (i + Ι » and P (W) * w, (five) obtained. The first element ^ ^ is located in the first element U and On the edge of a heart, the ', ^ two, the basic brightness correction coefficient of the element is obtained by the equation (2): meaning '~+21*6 ............ ............equipment (2) One food ^ P Bu Di Yu Su household (four) · - 〆 is located in the first - 昼素 household (four) · and the first, the, the side of the first The prime base correction coefficient is obtained by equation (3): corpse m+y = —s}L^n , y ..... .. % *Gi+i.+_#Gi+ 1J+1 ................... Equation (3) is obtained by obtaining the first pixel's base luminance correction coefficient, m, / m+y and After the prime base brightness correction coefficient of Susiehu (4) is "", the first element can be obtained according to equation (4)~200931342 &gt; i*/w+jc, /*m+ less

:〇-. X i*mJ*m+y * S(i+\)*mj*m+y * * * · · · Using the above method, the positive coefficient of each 第-昼 can be obtained. The column ancient v ^ (C2) shows the brightness weighting coefficient according to the second element and the basis of the halogen element. In this step, the brightness weighting recording method is described as follows. First, the color value of each of the second pixels in the Bell pattern configuration, the color value of each of the second pixels, is multiplied by the pixel base luminance correction coefficient' to obtain a second image in a Bayer pattern after correcting the luminance. Then, the second image I in the Bayer pattern after the correction of the brightness is output to the color patching single illusion 3〇 to obtain the second image ‘with the RGB image data. Next, the second image having the job image poor material is output to the color space conversion unit 14A to obtain the first image having the YUV image data. After obtaining the second image of the basic brightness correction coefficient of the equation (4), the brightness can be set according to the shell degree of the entire second image heart. Weighting factor /. Then, as shown in step (c3), according to the brightness weighting coefficient/the representative base party degree %c positive coefficient is adjusted to represent the optimized brightness correction system, for example, the representative base brightness correction coefficient %_ of the 2nd towel (4) is difficult to be Represents the optimization of the degree of positive coefficient G, ·&quot;. In this embodiment, the representative base brightness correction coefficient is adjusted to represent the optimized brightness correction coefficient ^^ by the equation (5 *

G = /U) + 1........................ Equation (5) Each representative base brightness correction emancy can be adjusted to Generation 200931342 table optimization degree correction coefficient, and stored in the second storage single magic 22 orders. After the brightness correction, you can get each representative optimization, which is 雔 (4) (4). In the step (4) of this embodiment, the book is also the step of obtaining the brightness correction coefficient from the part ((1), because of the 'number of turns. The operating principle is similar to the above; therefore, it will not be described again. ❹ ❹ Γΐ , , , , , , , , , , , , , , ' 优化 ' ' ' ' ' 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化 优化In other words, the method of obtaining the K image t after correcting the brightness is to be configured in the shape of the Bell pattern; the image of the image is obtained after the correction brightness is obtained. In the case of the Bell pattern, the image "I" is used to correct the brightness of the target image. Beco In addition, as shown in Fig. 1, the image capture includes a third storage unit 125 and 2 (3) When the parameter to be adjusted is stored in the controller, the direct memory access control 126 will be the first operation unit, and the portion represents the optimized brightness correction coefficient from the storage unit 125 of the first product. The first shipment = 122 transmission to the third element 125 library representative optimization = 3 Weng third storage Coefficient, in order to calculate the optimized brightness 200931342 i correction coefficient as the first example, the first error list 91 exemption correction coefficient. Again, in this implementation first out, FIFO) ^ six car father is the advanced first * (first in In order to save the storage device, the pixels to be adjusted are sequentially stored. e ❹, in the second embodiment of the present embodiment: the empty two-dimensional equidistant between the two storage units 122 _ _, / = the first of the data - The image ^ selects a first all-I, ,,, and solid block, and then calculates the brightness value of the first-order pixel based on the selected block from each block, and the brightness correction coefficient is wrong = base = Positive coefficient. These represent the basic f brightness correction coefficient is the school symplectic and each:: table correction coefficient. The number of the party value of the _ _ _ _ _ _ _ _ _ _ _ _ _ _ The basic brightness correction system is the basis of the brightness of the lit-right 邻 被 被 被 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - The first of the choices - this requires an additional few correction factors to calculate the brightness at the boundary base with _. The domain does not need the storage shirt image as an example, the right is divided by the size of the block, (4) / material correction coefficient, but only the wrong (Zheng Zheng + 1) ~ unit correction coefficient H, the size can be seen as the second storage The low storage calibration system is determined by the size of the memory. In this way, the image correction method, the image correction unit, and the 200931342 image capturing device using the same are provided. According to the first embodiment of the present invention, the difference is that the luminance correction coefficient and the second strict color are optimized according to the pixel, and the dispersion of each pixel to be adjusted is corrected. In the image sensing unit, the light refracting caused by the curved surface of the lens causes the sensing element array to receive light unevenly, so that the sensing element array has different sensitizing effects for red light, green light and blue light. Therefore, in the embodiment, the dispersion of the target image is preferably further corrected by the third image to have a better color. Referring to FIGS. 6 and 7, the figure β shows the main function block diagram of the image capturing device according to the first embodiment of the present invention, and FIG. 7 shows the image correction method according to the second embodiment of the present invention. Flow chart. The image capturing device 200 differs from the image capturing device 1 of the first embodiment in that the image capturing device 200 further includes a fourth storage unit 227 &amp; a multi-device 228 and a third operation. Unit 229. The image sensing unit 210 of the present embodiment is further configured to capture another surface after the second embodiment of the present invention is used to represent the optimized brightness correction coefficient and is stored in the second storage unit of the image correcting unit. And outputting the third image c 〗 in the Bell pattern to the shadow, the fork unit 22 〇. The third image is a color image, and the third image is preferably different from the second image, and each third pixel has a color value. Then, the first storage unit 221 of the corrected image unit 220 is further configured to sequentially store the third element of the third image center. The first operation unit 223 is configured to optimize the brightness correction system stored in the second storage unit 222.

1 Wj838 尸尸A!^ The third pixel of the element is optimized for the brightness of the third pixel of the brightness correction system and the corresponding elemental optimization of the real product H is earlier 22! After adjusting the brightness, the Bell pattern is configured. The =&amp; coefficient, obtained by c2 after obtaining the corrected brightness, is used to make the image image, and then the third color image is the third image of the image data. After that, the color that can be represented by the 撼 撼 二 影像 影像 , , , , , , , 、 、 据 据 据 据 据 据 据 据 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩 色彩The output of the storage unit in the Bell pattern is _, each of the pixels to be adjusted sequentially = image to = and the target image first storage unit 22 is the first operation unit 270 is the representative of the storage unit 222 The sinister is used to optimize the element stored in the first element to be adjusted: the second calculation, the target image of the illuminant value pattern should be optimized for each and every corresponding element. &amp; After the continuation of the sufficiency, the book is used to select the red weighting system according to the number of the first storage unit 221, Λ, green weighting coefficient: or storage unit 227 for the second computing unit. ;'24=^. The third operation unit 229 224 calculates the corrected brightness after the Bell 20 200931342

The TW3838PA pattern configuration target image U to be adjusted, and the multiplexer 228 selects the red plus (four) number wide green weighting coefficient / G or blue weighting coefficient is wide, and obtains the target image of the closed pattern configuration after correcting the color. Then, the color interpolation unit 230 is further configured to compensate the target image of the Bell pattern after the correction color to the target image having the image of the foot image to complete the dispersion of the corrected target image. The main steps of the image correction method of this embodiment are explained below with reference to Fig. 7. ❹ ❹ As shown in FIG. 7, the image correction method of this embodiment includes at least: a main step. The image correction method of this embodiment performs the steps in FIG. 7 by using image capture in FIG. 6, for example, but f is too limited to half the technical person in the technical field should be able to understand the image. Li sequence and sequence can also be modified according to the actual application. First, as shown in step (a), the setting is as shown in step (6), according to the part of the first-------- Technique 1 earns another = second element, which represents the basic brightness two: ;) =, represents the optimized brightness correction factor. However, the coefficient is biliary for a positive value of $. The mother's parent to be adjusted corresponds to each elemental optimization brightening and sacred:: as shown in step (f), 'based on each element optimization right °== and the third element' respectively set the red weight Fasten, green plus "children's positive coefficient right now every bright to be adjusted 200931342 i. wj〇j〇r/v 1蚩 Next, as shown in step (g), according to the corrected brightness To adjust the I-density 2 and red weighting coefficient production, green weighting coefficient corpse or blue weighting coefficient production, correct the dispersion of each pixel to be adjusted. Steps (a) ~ (d) and step (e) of this embodiment Steps (a) to (d) and step (e) of the first embodiment are the same, and therefore will not be described again. Next, the method of implementing steps (f) and (g) will be described in detail below. Please refer to Fig. 8. , which shows the detailed flow chart of step (f) of Fig. 7. The method of setting the red weighting coefficient / Λ, green weighting coefficient corpse and blue weighting coefficient in step (f) includes steps (Π) and (f2) First, if step (fl) does not, according to the color value of each third pixel and each pixel optimized brightness correction coefficient, the corrected brightness is obtained. The third image, that is, &quot;, will be the third image configured in the Bell pattern (: _ _ the color of each third element • value, one - multiplied by the corresponding pixel optimized brightness correction coefficient to obtain After the correction, the third image of the Bell pattern is set to _. After that, the corrected third image of the Bell pattern is output to the color interpolation unit 230 to obtain the RGB image data. The third image c^. μ~ Next, as shown in step (f2), the red weighting coefficient is generated according to the corrected third image, and the green weighting coefficient is wide and the blue weighting coefficient is wide. Setting the red weighting coefficient, green The basis for judging the weighting coefficient corpse and the blue weighting coefficient is, for example, set according to the color presented by the entire third image. Step (1) of setting the blush weighting coefficient, the green weighting coefficient corpse and the blue weighting coefficient r After (f2), step (e) is carried out, and the brightness of each pixel to be adjusted is corrected according to each pixel optimized brightness correction coefficient. Thereafter, step (g) is carried out. Please refer to Fig. 9, the Step 7 of the figure (g) 22 200 931342

Detailed flow chart of TW3838PA. The calibration of step (§) includes each step (gl)~U4). 'The color of the color of the prime. Wherein, if the to-beaze = target image to be adjusted step (10); if the element to be adjusted is red, then (g3); if the pixel is to be adjusted, and the color is 'step', the step is performed in step (10) , according to the corrected brightness == (4). The weight coefficient is widely obtained after the correction of the color: 素 and red plus ❹ ❹ The color to be adjusted after correction of the color. After jf, 4 weighting coefficient / °, obtain the pixel and blue weighting coefficient to be adjusted; positive: according to the corrected brightness. After that, the image to be modulated after the color correction is output to the color interpolation unit 23(), and the target image of the target image is configured. The dispersion of the image data after the above steps. You can correct the image of the target image to be corrected. For the device of the embodiment, the image correction method of the preferred embodiment is the same as the image correction method of the preferred embodiment. The image correction method η applies the C device, at least including the = coefficient. Correct the positive coefficient, so that it can effectively adjust the power of the 23rd 200931342 school can be applied to the same image capture device. The image of the present invention „ can be obtained according to each image capturing device and is suitable for this sensing. 2 represents a brightness correction coefficient, so as to be applied to different image pickups, the first = "effective t light brightness". The target image is Yuxian—the image and the one-shirt are squared, and the gain value of each is given according to the position of each element. Therefore, the brightness can be effectively adjusted. Raw correction data." By using the first image and the second image to produce a material, it is possible to avoid correction by only the single image. Therefore, "the image correction method of the present invention can obtain accurate correction data. Stupidity 4 improves the dispersion problem". The target is corrected according to the pixel of the third image. The dispersion causes the individual pixels of the target image to have a better color, and the present invention has been disclosed in the preferred embodiment of the present invention. This is a technical achievement in the field of technology, and the various changes and retouchings of the invention. Therefore, too Gongri... and the rail circumference of the beta field as defined by the patent side = the protection of the invention _ when attached to the 24th 200931342 TW3838PA [simple description of the diagram] the image of the implementation of the example # extraction device ^ The main function block diagram of Fig. 2A is a schematic diagram showing a part of the first image of the first image. The positive coefficient of the second image shows a schematic diagram of the portion of the first image representing the basic brightness;

3 is a flow chart showing a method for correcting an image according to a first embodiment of the present invention; FIG. 4 is a flow chart showing a detailed step of step (b) of FIG. 3; and FIG. 5 is a view showing the steps of FIG. FIG. 6 is a block diagram showing the main function of the image capturing device according to the second embodiment of the present invention; FIG. 7 is a flow chart showing the image correcting method according to the second embodiment of the present invention; 8 is a detailed flowchart of the step (1) of FIG. 7; and FIG. 9 is a detailed flowchart of the step (g) of FIG. 7. [Description of main component symbols] 100, 200: image capturing device 110, 210: image sensing unit 120, 220: image correcting unit 121, 221: first, storage unit 122, 222: second storage unit 123, 223: , arithmetic unit 25 200931342

TW3838PA 124, 224: second arithmetic unit 125, 225: third storage unit 126, 226: direct memory access controller 130, 230: color interpolation unit 140, 240: color space conversion unit 227: fourth storage unit 228: multiplexer 229 229: third arithmetic unit Α, /, Aj+i, ··+υ., ++W+i.

Pi*m , (y+i)*' Pi*m+x, j*m+y . Brother G, G, ij+l, σωί+1 •• represents the basic brightness correction factor / +1, /+ 1

26

Claims (1)

200931342 Shen Qing patent scope 1. The nit image correction method 'utilizes the first-image and a first shirt like a brother of a target image, the first shadow =; the degree J target image has a plurality of A plurality of second pixels are to be tuned, and the second image of the second image has a correction factor of the -βΐ-ΐ相昼素, which corresponds to the square of the square, and the second pixels - get, the image school (a) setting a predetermined brightness value; (b) correcting the base brightness according to the portion of the portion; (1) obtaining the brightness value of the m-value table corresponding to the part of the m-value brightness correction coefficient (C) According to the second pixels, the 4b representative _ is adjusted to a plurality of generations of converted bright and pure ^ table minus ^ correction coefficient complex table (10) degree correction coefficient to obtain each of the pixel optimized bright numbers: each of the pixels to be adjusted corresponds to The image correction method according to claim 1, wherein the pixel has a brightness value, and the step (a) is based on the image correction method according to the first aspect of the patent application. The maximum luminance value of the first pixels is taken as the predetermined luminance value. 3. If you apply for a patent scope! In the method of image correction according to the above aspect, each of the first-order elements has a - brightness value, and the first image includes a plurality of area ghosts, each of which corresponds to the portion of the first element and the part of the 27 200931342 Adjusting the morpheme, wherein the step (b) comprises: ~ selecting a pixel from the pixel corresponding to each of the first pixels; and (10) dividing the brightness value and selecting Each of the exempt values obtains each of the representative base luminance corrections x corresponding to each of the representative base luminance correction coefficients. Record 'to make each block o ❹ 4. According to the image correction method described in item 3 of the patent application', and the size of the first image is (4), the size of each of the areas is "select each The relationship between the luminance value of the first pixel, the representative base luminance correction coefficient, and the predetermined luminance value is as follows: where iW is the predetermined luminance value, the first luminance value is selected, and Gw. is a region. The block ~ represents the base brightness positive coefficient, ~ <from, 〇 ", and, and 7, ",", ", and "6 are positive integers. 5. The image as described in claim 4 The correction method, wherein the number of the representative basic brightness correction coefficients is substantially (from / to + 1) * (# / speak + 1) ~ (from / calendar + 2) * (# / / 2 + 2) 6. The image correction method according to claim 1, wherein the step (C) comprises: (cl) a bilinear internal difference method (Bmnear Interpolation) 28 200931342 1 from the representative basic brightness Correction coefficient; the positive coefficient obtains a plurality of bases of the base elements of the halogen, and the second elements and the bases of the elements are bright Degree correction coefficient 疋 凴 凴 加权 加权 ; 以及 以及 以及 以及 以及 ; _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ + 1 ; where ' / is the brightness weighting coefficient, G; the degree correction coefficient is the representative optimized brightness correction coefficient. Soil redundancy φ 兮 I &gt; Patent application range 6 according to the image correction method, 1 ^, image The pattern is -Belle pattern (β_γ_:, the step (c2) includes: straight (10)) the color value of the second element of the root age and the corresponding two colors of the two gold 2 _ 昼 础 亮 亮; ς corrected brightness And the second image; and (c22) according to the correction light illuminating &gt; 兮 _ _ _,, the brightness weighting coefficient. The brightness of the first image is set to 9. According to the eighth item of the patent application scope In the image correction method, the brightness of the second image after the positive weight in the basin is the color of each of the second elements, and the corrected brightness obtained by multiplying the four basic brightness correction coefficients The second image, which is configured by the pattern of the shell, is color-compensated after 29 200931342 The second image of the image data, and converting the second image into an image correction method according to the second item of the image data of the second image of the image data, wherein the step (d) is The bi-linear internal difference method is used to obtain the optimization parameters of the brightness optimization coefficients of the 昼 优化 优化 优化 优化 优化 Ο Ο 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 影像 影像 影像The image is configured in a -Belle pattern without any color value and each of the gold to be adjusted; the target image/prime optimization is obtained after the corrected brightness is obtained. In the item where the brightness is corrected: ~ symbol method, color value, one-multiply image: the τ of the brightness correction coefficient obtained by optimizing the brightness of each color of the element to be adjusted In addition, the eye shadow of the Bell pattern configuration and the target image of the positive image data are obtained. ~' Replenishment is the image correction method described in item 1 of the RGB range, and the first image system is a white image. Hey, its mountain u. The second image in the item is a method of color image-like imagery, which utilizes the image correction method described in Item 1 of the taboo, and is more like a slave. The target is a plurality of third elements. , y - the second shirt image has the third gramme;: to be: the calibrated data of the whole genus, the image correction method further includes: x the third temperament and each of the quinones to optimize brightness Correction system 200931342 Green weighting coefficient and a blue weighting coefficient, respectively, setting a red weighting coefficient, a number; and | according to the &amp;I brightness, each of the to-be-lighted elements and the red weighting system weighting system, the number or the blue weighting coefficient , correcting each of the color shirts to be adjusted. ❹ ❹ For example, the image correction method described in the third paragraph of the patent application, ^ ^ three images are in the -Ball pattern (_ π m where the step (f) includes: degree calibration) according to each of the third elements The color value and each of the four elements are optimized to be bright and round, to obtain the third image after correcting the brightness; and (f 2) according to the corrected brightness, the horse, the flute, the weight coefficient, the material, the f color Set the red ', number 忒, and pro-push coefficients and the blue weighting factor. And the image correction method described in Item 16 of the patent scope, the color binary value is redundant to the color of the third image, and each of the third pixels is corrected for each pixel to obtain the π obtained by the brightness correction coefficient. After the degree, the third image of the third video image data configured by the Bell pattern is obtained by the interpolation image I, and the image correction method described in the item (4) 15 items, «I: ^ 杈正正度Then, the color value of the respective pixels to be adjusted and the difference: the force 'coefficient, the green weighting coefficient or the blue weighting coefficient are obtained;: the target image after the image. In the image correcting method described in item 18 of only the true color, the second embodiment is the color correction method, the 200931342 TW3838FA (gl) captures the color of each of the pixels to be adjusted; and adjusts the color to the red '(4) to correct the brightness and the 待Color weighting coefficient, the adjusted adjustment after obtaining the corrected color (four) color 'based on the corrected weight, the to-be-weighted coefficient, the corrected color after obtaining the corrected color g g (g4), if the to-be-adjusted, adjusts the element and The color is added to the color 'based on the pixel after the brightness is corrected. The color of the dish (four), after the correction color is obtained, the image correction method described in item 19 is corrected, and the pattern configuration is the standard image, which is corrected after the color is corrected by the Bell color. If the pixel to be adjusted is red, the color value of the school to be adjusted is multiplied by the positive color of the pixel to be adjusted after the red addition, if the pixel to be adjusted is green, the color value is corrected. Multiply by the green weight: after the temple adjusts the positive color of the element, the geixin is like two: the right to adjust the element is blue, the school color value is multiplied by: color weight:: after the f is adjusted The RGB image of the pixel is f4 γ ia6 ', and then, the color complement is used to obtain the target image with the material. Among them: the image correction method described in item 15 of the Γ Γ range, the shirt image is a color shadow silly. 2_2. ~ image correction unit, comprising: a storage unit to store a plurality of elements, each of the elements 32 200931342 TW3838PA has a color value; a second storage unit, each of which represents a brightness correction system - transfer Wei pure table Brightness correction system - the first - arithmetic unit, used in the Ministry! And corresponding to each of the pixels: each of the representative brightness correction coefficients to calculate a second operation unit brightness correction coefficient; and the prime brightness correction coefficient obtains each of the pixels and the color value昼Ο ❹ 23. If the patent is pending, the color value is being accepted. Γ These represent the number of brightness correction factors]: 24. As in the patent specification, the image correction unit described in the first page of the first-storage list, -, touch) register is ~ first in first out (fine lnfirst) 1 = the image correction unit described in item 22 of the patent scope, the color ^., (4) the color values are sequentially corrected to the corrected brightness, wherein: the image correcting unit described in item 22, the different As long as the system is a linear differential operation unit, it also includes the image correction unit described in item 22 of the patent scope of the patent, which is divided into the storage unit, and the heart stores the knives of the first operation unit. The table optimizes the brightness correction; and (direct mefflory access *MA) optimizes the representation of the part of the operation unit. 33 200931342 TW3838PA degree of correction coefficient, from the current silver unit; μ second storage unit is transferred to the The third storage list wherein 'the first operation set _ some represents the optimized brightness correction* ^ takes the red library storage unit to the coefficient. The correction coefficient is calculated as the enthalpy optimized brightness correction ❹ ❹ further includes 8: Affirmation of patent scope 22 The image correcting unit described in the item, a fourth storage unit coefficient and a blue correction coefficient, for storing a red weight positive coefficient, a green correction number, accessing the red correction system and a third arithmetic unit, The red correction coefficient, the color of the $ ” ” and the color value of the multiplexer after the correction of the chromatic dispersion of the element. The Μ coefficient, obtaining 29. image capturing device, an image sensing unit, Arranged with a pattern and having a plurality of morphemes, :;: symplectic:: the image is used in the -be-image correction unit, and each of the pixels has a color value; the image correction unit includes: correcting each of the pixels The color value, the storage unit' is used to store the pixels; the degree correction coefficient, each generation is used to store a plurality of representatives to optimize the brightness; 4 table coefficients should be part of the a first computing unit, configured to calculate each of the representative brightness correction systems 34 200931342 TW3838PA as (four) a pixel luminance correction coefficient for each of the pixels; and a long reading gold second operation unit, according to each of the pixels The color value and the color brightness correction coefficient are obtained for each of the defects After correcting the brightness, the color matching unit ((3)101* interpolation unit) uses f 杈 the color value after the redundancy to obtain the shadow after correcting the brightness, and ❹. color space conversion unit (color space transform unit, for obtaining the brightness of the image after correction of brightness 3 0 ▲ • The image capturing device according to claim 29, wherein the number of brightness correction coefficients is less than The number of pixels - the amount. Q 。 The image capture device of claim 29, wherein the first storage unit is a first in first 〇 (FIFO) register. The image capturing device of claim 29, wherein the color values of the pixels are sequentially corrected to a far color value after the brightness is corrected. 33. The image capture device of claim 29, wherein the first computing unit is a bilinear internal difference computing unit. The image capture unit of claim 29, wherein the image correction unit further comprises: - a third storage unit for storing the representative brightness correction coefficients required by the first operation unit; 35 200931342 TW3838PA - The direct memory access controller will need part of the 4b generation of acne &amp; 运 兀 兀 至 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该 该The first operation table stores some representative brightness corrections. Sun Zhao &amp; Ding Pingyi calculates the positive coefficient only for the pixel brightness correction coefficients. 35. The image correction unit further includes: a pickup device, a green correction/fourth storage unit for storing a red correction coefficient, a coefficient, and a blue correction coefficient; The tool respectively accesses the red school number H correction coefficient or the blue correction coefficient according to the color of each element; the money-third third operation unit, according to the color of each element and the multi-work, the red %CJL a coefficient, the green correction coefficient, or the blue correction coefficient, the color value of each of the pixels after the correction dispersion; and the color interpolation unit is further used to supplement the dispersion of each of the pixels The color #&gt;value' is obtained to obtain the image after the correction of the dispersion. 36