TW201015986A - Image adjustment parameter calculation methods and devices, and machine readable medium thereof - Google Patents

Abstract

Image adjustment parameter calculation methods and devices are provided. First, at least one group of target image values and at least one group of original image values are obtained. Then, at least one image adjustment parameter is calculated according to the target image values and the original image values.

Description

201015986 IX. Description of the Invention: [Technical Field] The present invention relates to a method and a device for calculating image adjustment parameters, and particularly relates to an image adjustment parameter that can be automatically calculated according to a target image value, and a parameter adjustment parameter according to the image Method and device for adjusting images. [Prior Art] With the evolution of the times, the development of cameras has evolved from a conventional film-type camera to a digital camera in which a film is replaced by an image sensing unit such as a charge coupled device (CCD) or a complementary metal oxide semiconductor (CMOS). Since the digital photos taken by the digital camera can be easily viewed and processed in related devices, such as computer systems, the digital camera has become one of the must-have items in modern life. In a general digital camera, it is usually possible to provide a function for adjusting the captured image. For example, a digital camera can have a built-in preset

Like adjustment options such as contrast, saturation and hue, etc. for the image = integer. Due to the limited options, it is often difficult for users to adjust the image to the expected rendering results. Heart In some high-end digital cameras, the wide image can be adjusted using settings such as Color Matrix and/or Gamma Curve. Similarly, since the setting of the color matrix and the gamma curve is very complicated, it is very difficult for the average user to determine the gamma value of the element value 2 gamma curve in the color matrix. SUMMARY OF THE INVENTION HTC97023/0746-A41677-TW/Draft-Final 201015986 Apparatus There is a clock, and the present invention provides a method and method for calculating image adjustment parameters. Ϊ::: Guangguan: - Calculate the calculation parameters of the image adjustment parameters. After that, adjust the parameters according to the target, at least one set of original images. ', ', initial image value calculation of at least one image Another embodiment of the invention relates to the ❿ method. First, 'at least one set of target image value calculation values is obtained, wherein the original image values of the group & /, to > group. After that, the eye image value includes the three primary color values and the brightness calculation - the color scale == the original: shadow (10) three primary color value meter image values in the image value corresponding to the calculation:: gamma = standard image value and the original 舆 corresponding gamma value The median value of the gamma school and the error of the target 4 image _ are the most]. Slave original image In accordance with an embodiment of the present invention, a storage unit includes a processing unit number calculation device and at least a set of original image values. Where = Packet: At least - Group S value and at least one image of the original image value are calculated. According to the target image, another embodiment of the present invention relates to a storage unit and a processing unit. The storage = integer parameter calculates the assembly target image value and at least the set of original image values. The at least one original image value is included to include three primary color values and luminance values. The processing target image value and the three primary color values in the image value and the original image value are calculated according to the target image-element, and the HTC97023/0746-A41677-TW/ is calculated according to the target image value and the exemption value in at least the threshold value in the original image matrix. Draft-Final 201015986 Positive - gamma value. The error between the original image value and the target image value adjusted according to the color matrix and the corresponding gamma/· is positively reduced by one. The media trt description method can be recorded in the machine format through the code code ~ Tai Gong. When the program code is loaded and executed by the machine, the machine becomes a device for implementing the present invention. ❹

The above described objects, features, and advantages of the invention will be apparent from the description of the appended claims. [Embodiment] FIG. 1 shows an apparatus for calculating an image adjustment parameter according to the present invention. In this embodiment, the image adjustment parameter computing device 100 according to an embodiment of the present invention may be a processor-based electronic device such as a computer. As shown in FIG. 1, the image adjustment parameter calculation device 100 according to the embodiment of the present invention includes a storage unit 110 and a processing unit 120. The storage unit 110 includes at least an original image U1 and a target image 112. The original image 111 is obtained by taking an object through an original camera. Notably, in some embodiments, the article can include a swatch having a plurality of color patches. In some embodiments, the swatch may be a GretagMacbeth swatch with 24 color blocks. It is worth noting that the 19th to 24th blocks in the GretagMacbeth swatch are grayscale color blocks. The target image 112 is a target camera that captures the same @object, as obtained by a swatch. The original image 111 and the target image 112 may be represented by three primary colors (RGB) or by luminance (Y) and saturation (UV). In other words, HTC97023/0746-A41677-TW/Draft-Final 201015986 original image 1H and target image value and chroma value ^ processing unit ^ can include three primary color values, and brightness coffee image adjustment parameters, such as elements in the color matrix, : / After the explanation. (4) value. The details of calculating the image extinction will be shown in Fig. 2 to show an image adjustment parameter according to another embodiment of the present invention. In this embodiment, the image adjustment parameter according to the embodiment of the present invention

The device 200 can be a portable device with image capturing function, such as digital subtraction, multimedia Wei H, personal assistant, global satellite clamp device, touch mobile phone, smart money machine or mobile electric device. As shown in FIG. 2, the image adjustment parameter speaking device according to the embodiment of the present invention includes an image capturing unit 210 and a memory unit ί20: a processing unit 23G. The image couching unit 21G may be a camera module of a charge-light-coupled or complementary metal oxide semiconductor for capturing an image. The storage unit 220 includes an original image 221 and a target image wave 222. The original image 221 is obtained by the image capturing unit 21 capturing a miscellaneous item. Similarly, an article can include a swatch having a plurality of color patches. In some embodiments, the swatch may be a GretagMacbeth swatch with 24 color blocks. The target image 222 is a target camera that captures the same object, such as a swatch. The target image 222 can be input to the image adjustment parameter calculation device 200 through an interface (not shown). Similarly, the original image 221 and the target image 222 may include three primary color values, and a luminance value and a chroma value. The processing unit 230 can calculate image adjustment parameters, such as color factors, and/or gamma values of corresponding gamma corrections, according to the original image 221 and the HTC97023/0746-A41677-TW/Draft-Final 201015986 target image 222. The details of calculating the image purchase will be explained later. When the image capturing unit learns to take a new image, the processing can be performed on the new image according to the calculated image adjustment parameter. FIG. 3 shows a method for calculating the image adjustment parameter according to an embodiment of the present invention. In step S3H), an original image and a target image are obtained. The original image is obtained by photographing an object, such as a swatch, through an original camera or an image capture unit. The target image is obtained by taking the same object through a target camera. In (4) S320, image values corresponding to the original image and the target image, such as three primary color values and/or brightness values, are obtained. Then, in step S330, at least one image adjustment parameter, such as an element in the color matrix, and/or a gamma value of the corresponding gamma correction, is calculated according to the image values corresponding to the original image and the target image, respectively. It is worth noting that after the image adjustment parameters are calculated, other image adjustments can be made according to the image adjustment parameters. In some embodiments, when the original camera captures an object and obtains an image, after the image adjustment parameter is adjusted, the adjusted image is identical to the image obtained by the target camera to capture the same object. . Next, the calculation of the elements in the corresponding color matrix and the corresponding gamma values such as gamma correction are respectively explained. Color moment Chen HTC97023/0746-A41677-TW/Draft-Final 201015986 Suppose the target color value of the '24' group of the corresponding color area in the target image of the swatch with 24 color areas captured by the target camera (Rol, Gol , B〇l) > (R〇2, G〇2, B〇2) ' (R〇3, Go3, B〇3) > ... ' (RowG.24,:^24). In addition, in the original image of the swatch with 24 color regions captured by the original camera, the 24 target color values of the corresponding different color regions are (RiGmBiO, (Ri2, Gi2, Bi2), ..., (Ri24, Gi24). Bi24. In general, the color matrix can be a 3x3 matrix, and the image can be corrected according to the following formula: ~R is 1 Au A13 G — ^21』22 ^23 B _ is 1 ^32 ^33 _ Λ Among them, the uncorrected color value, the corrected color value of R, G, and B, and the elements in the Au~Am color matrix. The 24 color values corrected by the color matrix are (Ri, Gi, Bi). ), (R2, G2, b2), ..., (R_24, G24, B24). Bring the original color value of the original image into the above formula to get the result of the corresponding corrected color value R:

Ri=AiixRu + A12xGu + A^xBu ; R2=AnxRi2 + A12xGi2 + A13xBi2 ; R3=AnxRi3 + A12xGi3 + A13xBi3 ; + A12xGi24 + A13xBi24. The error between the adjusted color value R and the target color value r (Rq1 - Rl) + (R〇2 - Κ·2) + (R〇3 - R3)2 +·...+ (ro24 - r24)2. Since the error between the desired color value and the target color value is minimized, and = HTC97023/0746-A41677-TW/Draft-Final 201015986

AnxRin + Ai2xGin + A13xBin (n=l > 2 ^ 3---24)4, — ^ ^ —-j. Equation, so you can use a regression method, such as Multiple Linear Regression Let Δ R minimize the best All, Ai2, Ai3 solution. Similarly, the original color value of the original image is brought into the above formula to obtain the result of the corresponding corrected color value G:

Gi=A2ixRii + A22xGii + Α23χΒη ; G2=A2ixRi2 + A22xGi2 + A23xBi2 ; G3=A2ixRi3 + A22xGj3 + A23XB13 ; 624=^2/^24 + A22xGi24 + A23><Bi24. The error between the adjusted color value G and the target color value G^^. ^ G〇2 + (G〇2 -G2)2 + (Go3 -G3)2 +.... + (g〇24 -G24)2. Since the error between the adjusted color value and the target color value is expected to be the smallest, and 匕 = eight 21 >< 1 ^ 11 + into 22 > ^ 11 + eight 23 father; 8 ratio (11 = 1, 2, 3: .24) is a three-element one-time equation, so a regression method can be used to find the best A2i, A22, A23 solution that minimizes AG. Similarly, the original color value of the original image is brought into the above formula to obtain the result of the corresponding corrected color value B:

Bl=A3lxRil + Α32χ〇π +A33xBil ;

B2=A3ixRi2 + A32xGi2 + A33xBi2 I B3=A3i><Ri3 + A32xGi3 + A33xBi3 ; .... B24=A31xRi24 + A32xGi24 + A33xBi24. The error between the adjusted color value B and the target color value b^6 = (ugly. 1-BJ2 + (B〇2 - B2) 2 + (Bo3 -By +·..· + (B〇24 _b24)2. Due to the expectation of HTC97023/0746-A41677-TW/Draft-Final 11 201015986 5 weeks after the completion of the color value and the target color value error to the minimum, and 32 eight 41 18 33 fathers are 11 (11 = 丄, 丄, 3 ...24) is a three-equation, so a regression method can be used to find the best solution for △B Tian. The most important thing is to calculate the ~AA", A22, A23, A31, A32, A33 will make the total error Δ E :12, A13, Δ B rt ^ -K- + AP minimum. Therefore, through this color matrix, the correction u à 8 31 Rin + A32XGin + A33xBin (n = 1, 2, 3. ..24) is -=_ 1 士to - ' ' 2 7L ~ times 1' 22'/ν23, Α3ι, Α32, Α33 will make the total error = '13'

Δ B rt ^ -K- + A P 芍 is the smallest. Therefore, the correction of the ** by this color matrix will be roughly the same as the target color value. It is worth noting that the upper value will be ::: out: the elements in the color matrix can make the total error minimum: :: medium = Ϊ: In the embodiment, when the original color value and the target color value = substitute = most Hour' At this time, the reading in the color matrix can be set to $^. Therefore, 'this color matrix can be used for the original camera: 'Heart adjustment, so that the adjusted image is close or general, etc.> The effect of the shot. Green is equal to the gamma school 4 π In the $Ma correction, the corresponding gamma value can be calculated from the brightness value. It is worth noting that in some embodiments, since the 19th to 24th blocks in the GretagMacbeA swatch are grayscale color blocks, these color blocks can be used to calculate gamma values. Assume that in the target images of the 19th to 24th blocks in the GretagMacbeth swatch taken by the target camera, the target brightness values of the corresponding groups of 6 are γ〇ι9, γ. twenty four. In addition, in the original images of the 19th to 24th blocks in the GretagMacbeth swatch taken by the original camera, the corresponding brightness of the six groups of HTC97023/0746-A41677-TW/Draft-Final 12 201015986 is Yil9. ..., Yi24. The original brightness value of the original image is brought into the gamma correction formula to obtain the result of the corresponding corrected brightness value Y:

Yl9 = (Yil9)r > Y20 = (Yi2〇)r > .....Y24 = (Υί24)Γ. Among them, Yi9, Y20, ..., Y24 are the corrected luminance values of gamma "r". The error between the corrected brightness value and the target brightness value Ycl9,...,Υο24 is: ® Δ ΕΥ =: (Y0l9 - γ19)2 + (Υ〇20 - γ20)2 +...+ (Υο24 - γ24)2 ° Similarly, since the error between the adjusted brightness value and the target brightness value is expected to be minimized, the regression method can be used to find the optimal "r" solution that minimizes ΔΕΥ. In some embodiments, since "r" is typically between 1/1.9 and 1/2.5. Therefore, it is sufficient to calculate ΔΕΥ' when r = 1 / 1.9, r = 1 /2, r = 1 /2.1 γ = 1/2·5 and select a value of "Γ" which can minimize ΔΕΥ. Therefore, the image captured by the original camera can be adjusted by this gamma value so that the adjusted image is close to or substantially equal to the effect of the target camera. It must be reminded that in some embodiments, the color matrix and gamma values can be calculated from the original image and the target image simultaneously, and the image is adjusted using the color moments ^ and gamma values. Therefore, through the image control parameter recording device and the device, the parameters are automatically calculated according to the target image, and the subsequent images are adjusted according to the image adjustment parameters. The method of the invention, or a particular form or portion thereof, may be in the form of a form. The code can be used to record the media that can be read by the machine, such as the HTC97023/0746-A41677-TW/Drafl-Final 13 201015986 disc, hard disk, or any other machine readable (such as computer readable) The storage medium is also limited to an external form of computer program product, wherein when the program code is carried by a computer such as a computer and executed, the machine becomes a device for participating in the present invention. The program can also be transmitted through some transmission media, such as wires or cables, optical fibers, or any transmission type, where 'when the code is received by the machine, such as a computer, manned and executed, the machine becomes used = The device of the invention. When working in a general purpose processing unit

The time code is combined with the processing unit to provide a unique means of operating the application specific logic. Although the present invention has been disclosed in the above preferred embodiments, it is not intended to limit the invention, and any of the ages of the invention may be reduced by the invention, and may be modified and retouched. * The scope is subject to the definition of the patent application scope attached to the following. - - [Simple description of the drawing] ... Figure 1 is a diagram showing the image adjustment parameter calculation device according to the embodiment of the present invention. Fig. 2 shows a computing device according to another embodiment of the present invention. Fig. 3 is a flow chart showing a method for calculating image adjustment parameters according to an embodiment of the present invention. [Description of main component symbols] 100, 200~ Image adjustment parameter calculation device; 110, 220~ storage unit; 111, 221~ original image; HTC97023/0746-A41677.TW/Draft-Fmal 14 201015986 112, 222~target image; 120, 230~ processing unit; Capture unit.

HTC97023/0746-A41677-TW/Draft-Final

Claims (1)

201015986 X. Patent application scope: 1. A method for calculating image adjustment parameters, comprising the steps of: obtaining at least a group of target image values; obtaining at least one set of original image values; and calculating according to the set of target image values and the set of original image values At least one image adjustment parameter. 2. The image adjustment parameter meter as described in item 1 of the patent application scope The calculation method, wherein the target image value is captured by the target camera, and the object is taken to obtain the object. , Jieshou Camera 4. The image adjustment method described in the second paragraph of the patent application scope, including the image of the domain township light camera to adjust. /Original camera 5. The method of calculating the method according to the patent specification _ i, wherein the target image value or the original value = one of the elements of color (R, G, position 'and the butterfly's original matrix). The gamma matrix is one of the image values of the color correction method (the color image of the color correction method is the image value or the original image value, and the image adjustment parameter is a corresponding gamma correction). [ </ RTI> </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; The image adjustment parameter method uses the multi-variable linear regression method to obtain the image adjustment parameter according to the original image value of the group, wherein the error between the initial image value adjusted according to the image adjustment parameter and the target image value of the group is The smallest. 8. A method for calculating image adjustment parameters, comprising the steps of: obtaining at least one set of target image values, wherein the target includes three primary color values and brightness values; c obtaining at least one set of original image values, wherein the original three primary color values and brightness Value; 1 冢 value package is calculated according to the target image value of the group and the primary color value in the original image value of the group - at least - the element in the color transition; Α and ^ 2 are based on the target image value of the group and the original image value of the group The value calculates a gamma value corresponding to a gamma correction, wherein the set of original image values and the set of target image values according to the color matrix and the gamma corresponding to the gamma value are positive.鹌 9 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 At least one image adjustment parameter. , ° shadow 10. The image adjustment spring described in the scope of claim 9th HTC97023/0746-A41677-TW/Draft-Final Ridge 17 201015986 computing device 'where the target image value is taken through a target camera - object to Obtaining 'and the original image value of the group is obtained by capturing the object through the image manipulation unit. 11. The image adjustment parameter calculation device of claim 4, wherein the object comprises a swatch having a plurality of color blocks. 12. If the application (4) is the first item, the image capture unit captures an image, and the processing unit adjusts the money according to the image. Adjustment. The image adjustment parameter calculation device according to claim 9, wherein the target image value or the original image value includes three primary colors (R, G, B) values, and the image adjustment parameter is a color matrix (c) 〇i〇r Matrix) One of the elements. The image adjustment parameter calculation device according to claim 9, wherein the target image value or the original image value includes a brightness value 'and the image adjustment parameter is a corresponding gamma correction (Gamma Correction) A gamma value. 15. The image adjustment parameter calculation device described in claim 9 is used to determine the image adjustment parameter according to the set of original image values by a multivariate linear regression method, wherein the image adjustment parameter is determined according to the image. The error between the adjusted original image values and the set of target image values is minimal. 16. An image adjustment parameter calculation device, comprising: HTC97023/0746-A41677-TW/Draft-Final 18 201015986 - the error storage unit includes at least a group target image one = original image value, wherein the target image value and the The original image includes two primary color values and brightness values; and a processing unit 'calculates a color moment according to the three primary color values in the touch target image image value: original: pixel, and the processing unit is based on the target value = The brightness value of a plurality of image values is calculated and subtracted - (4) corrected and the original image is ❿ ❿ c color matrix and the corresponding gamma value (4)::: t The error between the original image value of the group and the target image _ is ΐ 17. A machine readable medium, obtaining at least one set of target image values; obtaining at least one set of original image values; and: adjusting parameters according to the set of target image values and her original image. Τ 主 : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : Included in the three primary color values and brightness values; &quot; the target shirt image value package obtains at least one set of original image values, wherein the original image values include three primary color values and brightness values; &amp; image value package HTC97023/0746-A41677-TW/ Draft-Final 19 201015986 calculating at least one element in a color matrix according to the set of target image values and the three primary color values in the set of original image values; and determining the brightness value according to the set of target image values and the set of original image values Calculating a gamma value of a corresponding gamma correction, wherein an error between the set of original image values and the set of target image values adjusted according to the color matrix and the gamma correction corresponding to the gamma value is minimum. HTC97023/0746-A41677-TW/Draft-Final 20