JP2009302906A - Image processor, integrated circuit device, and electronic appliance - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image processor, an integrated circuit device, and an electronic appliances, which correct colors precisely. <P>SOLUTION: The image processor includes: a gamma correction part 40 for making gamma correction in conformity with a display characteristic of an electro-optical panel with respect to RGB image data (Rin, Gin, Bin); a first color space conversion part 20 for converting RGB image data (Rin', Gin', Bin') from the gamma correction part 40 into HSV image data (Hin, Sin, Vin); a correction part 10 for correcting HSV image data (Hin, Sin, Vin) from the first color space conversion part 20; and a second color space conversion part 30 for converting HSV image data (Hout, Sout, Vout) from the correction part 10 into RGB image data (Rout, Gout, Bout). <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an image processing device, an integrated circuit device, an electronic device, and the like.

  In image processing, various types of color spaces are used. One of them is image processing in an HSV format color space. For example, since human color vision is particularly sensitive to memory colors such as skin color and sky blue, it is possible to obtain an image display with a natural color for humans by correcting the memory color in the HSV color space.

  In addition, electro-optical panels (for example, liquid crystal panels) that display a display image after image processing have inherent display characteristics. By performing gamma correction (display characteristic correction), the color of the display image is accurately displayed. Can be made.

  Conventionally, after image processing in the HSV color space, gamma correction is performed in accordance with the display characteristics of the electro-optical panel. However, since color correction in image processing is a delicate adjustment, there is a problem in that color correction is shifted when gamma correction is performed thereafter.

  Furthermore, in the image processing in the HSV format color space, there is a problem that a large color difference occurs at the boundary between the corrected color and the uncorrected color, and the boundary portion becomes conspicuous. Conventionally, a large color difference is prevented from occurring by making the correction value asymptotically approach zero as approaching the boundary of the hue region to be corrected (for example, Patent Document 1).

However, the conventional countermeasure has a problem that the correction value becomes zero at the boundary of the hue region to be corrected, and the degree of freedom of correction is limited.
JP 2007-42033 A

  According to some aspects of the present invention, it is possible to provide an image processing device, an integrated circuit device, and an electronic apparatus that can correct color accurately.

  The present invention performs gamma correction on input RGB image data in accordance with display characteristics of an electro-optic panel, and outputs corrected RGB image data. The corrected RGB image data is converted into HSV format image data. A first color space conversion unit that converts the input HSV image data, outputs the HSV image data, corrects the input HSV image data, and outputs the output HSV image data. The present invention relates to an image processing apparatus including a second color space conversion unit that converts image data into a format and outputs output RGB image data.

  According to the present invention, gamma correction is performed on the input RGB image data by the gamma correction unit, and the obtained corrected RGB image data is converted into input HSV image data. Then, the input HSV image data is corrected by the correction unit, and the obtained output HSV image data is converted into output RGB image data and output. As described above, in the present invention, in the image processing apparatus that performs correction by converting the RGB image into the HSV image, the gamma correction unit is provided on the upstream side of the correction unit.

  For example, when there is a gamma correction unit on the rear side of the correction unit, there is a problem that the correction performed by the correction unit becomes inaccurate due to the gamma correction on the rear side. In other words, the image data input to the correction unit and the display image displayed on the electro-optical panel are different in color by the amount of gamma correction, and therefore there is a problem that correction cannot be performed accurately if correction is performed based on the display image.

  In this regard, in the present invention, the correction unit is provided on the rear side of the gamma correction unit. Therefore, the color can be matched between the image data input to the correction unit and the display image displayed on the electro-optical panel. Thereby, it is possible to correct accurately based on the display image without being affected by the gamma correction according to the display characteristics of the electro-optical panel.

  In the present invention, the correction unit determines which hue region of the plurality of hue regions corresponds to the input hue value in the input HSV image data, and outputs a determination signal. And a conversion unit that obtains a correction value using the input hue value and the determination signal and corrects the input hue value based on the correction value.

  In the present invention, the hue area determination unit determines whether or not the input hue value belongs to the hue area. Thereby, it can correct | amend with respect to a desired hue area | region. In addition, the conversion unit receives the input hue value and the determination signal and obtains a correction value. Thereby, the correction value corresponding to each hue area of the plurality of hue areas can be obtained, and the hue value of each hue area can be independently corrected.

  In the present invention, the correction unit may determine which hue region of the plurality of hue regions corresponds to the input hue value of the input HSV image data, and output a determination signal. A conversion unit that obtains a correction value using the input hue value and the determination signal and corrects an input saturation value of the input HSV image data using the correction value.

  In the present invention, the conversion unit receives the input hue value and the determination signal and obtains a correction value for correcting the saturation value. Thereby, the correction value corresponding to each hue area of the plurality of hue areas can be obtained, and the saturation value of each hue area can be independently corrected.

  In the present invention, the conversion unit obtains a first difference value that is an absolute value of a difference between the input hue value and the correction reference target value, and calculates a difference between the correction reference difference value and the first difference value. A second difference value that is an absolute value may be obtained, and the correction value may be obtained using the second difference value.

  In the present invention, the correction value is obtained using the correction reference target value and the correction reference difference value. As a result, the correction value can be set to an arbitrary value at the boundary of the hue region. Further, the correction value is obtained using the first difference value and the second difference value which are absolute values of the difference. Thereby, the characteristic line of the correction value can be constituted by a combination of a plurality of straight lines. In this way, complex correction can be realized with a correction value obtained by a simple linear expression.

  Furthermore, according to the present invention, when a plurality of hue regions are provided adjacent to each other, the correction value at the boundary of the hue regions can be made equal between the adjacent hue regions. Thereby, it is possible to prevent a sudden color difference from occurring at the boundary of the hue region without setting the correction value to zero at the boundary of the hue region.

  In the present invention, the conversion unit may obtain the correction value by multiplying the second difference value by a correction coefficient.

  According to the present invention, the magnitude and positive / negative of the correction value can be adjusted by adjusting the correction coefficient. As a result, the direction of correction and the inclination of the characteristic line of the correction value can be adjusted. For example, the slope of the characteristic line of the correction value can be changed at the boundary between adjacent hue regions. In this way, correction with a high degree of freedom can be realized.

  The present invention further includes a coefficient register for setting the correction reference target value, the correction reference difference value, and the correction coefficient, and the conversion unit is configured to use the coefficient register based on the determination result from the hue area determination unit. The correction reference target value, the correction reference difference value, and the correction coefficient may be read out.

  According to the present invention, the correction reference target value, the correction reference difference value, and the correction coefficient can be set independently for each hue region of the plurality of hue regions. Therefore, a correction value corresponding to each hue area can be obtained based on the determination result of the hue area determination unit. Thereby, a plurality of hue regions can be corrected with independent correction values.

  In the present invention, the correction unit determines which hue region of the plurality of hue regions corresponds to the input hue value in the input HSV image data, and outputs a determination signal. And a conversion unit that obtains a correction value using an input saturation value of the determination signal, the input hue value, and the input HSV image data, and corrects the input hue value based on the correction value. .

  According to the present invention, a correction value depending on the saturation value can be obtained. As a result, in the plurality of hue regions, the input hue value can be corrected not only with the hue value but also with a correction value corresponding to the saturation value.

  In the present invention, the correction unit determines which hue region of the plurality of hue regions corresponds to the input hue value in the input HSV image data, and outputs a determination signal. And a conversion unit that obtains a correction value using an input saturation value of the determination signal, the input hue value, and the input HSV image data, and corrects the input saturation value by the correction value. Good.

  According to the present invention, it is possible to correct an input saturation value with a correction value corresponding to a saturation value as well as a hue value in a plurality of hue regions.

  In the present invention, the conversion unit obtains a first difference value that is an absolute value of a difference between the input hue value and the correction reference target value, and calculates a difference between the correction reference difference value and the first difference value. A second difference value that is an absolute value may be obtained, a multiplication coefficient may be obtained using the input saturation value, and the correction value may be obtained by multiplying the second difference value and the multiplication coefficient.

  According to the present invention, the second differential value is multiplied by the multiplication coefficient obtained using the input saturation value. Thereby, the correction value according to the input saturation value can be realized. Specifically, the characteristic line of the correction value can be composed of a combination of a plurality of straight lines, and can be set to a correction value corresponding to the input saturation value.

  In the present invention, the conversion unit multiplies the input saturation value and a saturation coefficient to obtain the multiplication coefficient, and multiplies the second difference value and the multiplication coefficient to obtain the correction value. May be.

  According to the present invention, the magnitude and positive / negative of the correction value can be adjusted by adjusting the saturation coefficient. Thereby, the direction of correction and the change rate of the correction value can be adjusted.

  In the present invention, the conversion unit includes a saturation conversion processing unit that converts the input saturation value and outputs a converted saturation value, obtains a multiplication coefficient using the converted saturation value, and The correction value may be obtained by multiplying the second difference value and the multiplication coefficient.

  According to the present invention, a correction value depending on the converted saturation value can be obtained. Thereby, the correction | amendment which has arbitrary dependence with respect to a saturation value is realizable. For example, the correction intensity can be increased in a partial range of the saturation value. Thus, according to the present invention, correction with a higher degree of freedom can be realized.

  In the present invention, the conversion unit multiplies the converted saturation value and a saturation coefficient to obtain the multiplication coefficient, and multiplies the second difference value and the multiplication coefficient to obtain the correction value. May be.

  According to the present invention, it is possible to adjust the magnitude and positive / negative of the correction value depending on the converted saturation value by adjusting the saturation coefficient.

  The present invention also provides a gamma correction unit that performs gamma correction on input RGB image data in accordance with display characteristics of an electro-optical panel and outputs corrected RGB image data, and the corrected RGB image data is converted into an HSV format image. A first color space conversion unit that converts the data into data and outputs the input HSV image data; a correction unit that corrects the input HSV image data and outputs the output HSV image data; and the output HSV image data. A second color space conversion unit that converts the image data into RGB format image data and outputs the output RGB image data. The correction unit corrects the input HSV image data, and performs first correction. A first correction unit that outputs post-HSV image data; and correction of the first post-correction HSV image data, and output of the second post-correction HSV image data to the output HSV It relates to an image processing apparatus having a second correcting unit for outputting as an image data.

  According to the present invention, gamma correction is performed on the input RGB image data by the gamma correction unit, and the obtained corrected RGB image data is converted into input HSV image data. Next, the input HSV image data is corrected by the first correction unit, and the obtained first corrected HSV image data is corrected by the second correction unit. Then, the obtained second corrected HSV image data is converted into output RGB image data and output. As described above, in the present invention, in the image processing apparatus in which the gamma correction unit is provided on the upstream side of the correction unit, the first correction unit and the second correction unit connected in cascade are provided.

  For example, according to the present invention, correction with a high degree of freedom can be performed in a plurality of hue regions. However, when the correction unit has one stage, there is a problem that the hue region cannot be set in an overlapping manner.

  In this regard, in the present invention, correction is performed using the first correction unit and the second correction unit. Thereby, the hue area can be set redundantly. Specifically, one of the hue regions where the first correction unit overlaps can be corrected, and the second correction unit can correct the other hue region. Thereby, the correction value can be easily set by superimposing the correction values.

  The present invention also relates to an integrated circuit device including any of the image processing devices described above.

  The present invention also relates to an electronic device including the integrated circuit device described above.

  Hereinafter, preferred embodiments of the present invention will be described in detail. The present embodiment described below does not unduly limit the contents of the present invention described in the claims, and all the configurations described in the present embodiment are indispensable as means for solving the present invention. Not necessarily.

1. Configuration Example of Image Processing Device FIG. 1 shows a configuration example of an image processing device according to the present embodiment. The image processing apparatus according to the present embodiment performs gamma correction on image data in RGB (R: red, G: green, B: blue) format according to the display characteristics of the electro-optical panel. Then, the image processing apparatus according to the present embodiment performs color correction on the image data after the gamma correction in the HSV format color space.

  For example, the image processing apparatus of the present embodiment can perform gamma correction according to the display characteristics of a liquid crystal panel as an electro-optical panel. In the following description, the image processing apparatus according to the present embodiment will be described by taking an example of performing gamma correction according to the display characteristics of the liquid crystal panel. However, the present invention can also be applied when performing gamma correction according to display characteristics of an electro-optical panel such as an EL panel (EL: Electro Luminescence).

  The image processing apparatus according to this embodiment shown in FIG. 1 includes a gamma correction unit 40, a first color space conversion unit 20, a correction unit 10, and a second color space conversion unit 30.

  The gamma correction unit 40 performs gamma correction according to the display characteristics of the liquid crystal panel on the input RGB image data (Rin, Gin, Bin), and the corrected RGB image data (Rin ′, Gin after the gamma correction). ', Bin') is output.

  Specifically, the display characteristics of the liquid crystal panel differ depending on the RGB components depending on the transmittance of the liquid crystals corresponding to the RGB components, the characteristics of the light source of the backlight (illumination), and the like. Then, the gamma correction unit 40 corrects the gray scale (or white point) of the display image by performing gamma correction according to the display characteristics of the liquid crystal panel on each of the RGB components. That is, the gamma correction unit 40 corrects the gray scale of the display image by correcting the image data so as to cancel the difference between the components of the display characteristics.

  More specifically, the gamma correction unit 40 performs gamma correction corresponding to the display characteristics of the R component of the liquid crystal panel on the image data Rin, and outputs the image data Rin ′. Similarly, the gamma correction unit 40 performs gamma correction corresponding to the display characteristics of the G component on the image data Gin to output image data Gin ′, and the gamma corresponding to the display characteristics of the B component on the image data Bin. The image data Bin ′ is output after correction.

  For example, the gamma correction performed by the gamma correction unit 40 can be realized by a look-up table that can be output with reference to an output value corresponding to the input value.

  Note that tone correction such as so-called gamma 2.2 is performed by the driver 110 shown in FIG. 10, for example, and this tone correction is distinguished from gamma correction by the gamma correction unit 40. The gamma correction by the gamma correction unit 40 is not a correction for normalizing the gamma of the image data input from the video equipment, but a gamma correction for correcting the display characteristics of the electro-optical panel.

  Next, the color space conversion unit 20 converts the color space of the input image data. Specifically, the color space conversion unit 20 receives the image data (Rin ′, Gin ′, Bin ′) from the gamma correction unit 40 and is in the HSV (H: Hue, S: Saturation, V: Lightness) format. Convert to image data. Then, the color space conversion unit 20 outputs input HSV image data (Hin, Sin, Vin) that is image data after conversion.

  For example, the color space conversion performed by the color space conversion unit 20 can be realized by, for example, an operation using a multiplier or an adder.

  The correction unit 10 performs image processing on the HSV image data. Specifically, the image data (Hin, Sin, Vin) from the color space conversion unit 20 is corrected, and output HSV image data (Hout, Sout, Vout), which is the corrected image data, is output.

  More specifically, as will be described later with reference to FIG. 4A and the like, the correction unit 10 performs color correction on the hue region CR. For example, the correction unit 10 determines whether or not the input hue value Hin belongs to the hue region CR, and if it is determined that the input hue value Hin belongs, obtains a correction value ΔH corresponding to the hue region CR. Then, the correction unit 10 corrects the input hue value Hin by the obtained correction value ΔH.

  The correction unit 10 can be realized by a first configuration example described later with reference to FIG. 2 or a second configuration example described with reference to FIG. Moreover, the correction value which the correction | amendment part 10 calculates | requires is realizable with the specific example of the calculation method of the correction value demonstrated by the following formula | equation (1)-(16).

  The color space conversion unit 30 receives the output HSV image data (Hout, Sout, Vout) from the correction unit 10 and converts it into RGB format image data, and the converted output RGB image data (Rout, Gout, Bout). Output. Similar to the color space conversion unit 20, the color space conversion performed by the color space conversion unit 30 can be realized by, for example, a calculation using a multiplier, an adder, or the like.

  Here, as a comparative example, let us consider a case where a gamma correction unit 40 is provided after the second color space conversion unit 30 in FIG. In the comparative example, the correction unit 10 corrects image data that has not been gamma corrected. On the other hand, the image data after the gamma correction is displayed on the liquid crystal panel as a display image.

  As described above, the gamma correction corrects the gray scale of the image data by correcting the display characteristics of the liquid crystal panel. Therefore, in the comparative example, there is a difference between the gray scale of the HSV image data corrected by the correction unit 10 and the gray scale of the display image on the liquid crystal panel. In the correction of the color of the HSV image data, a delicate color adjustment is performed while visually confirming the color of the display image. Therefore, if there is a difference between the display image and the gray scale to be corrected, the display image is set based on the display image. There is a difference between color correction and color correction in actual image data.

  As described above, when gamma correction is performed after the correction of HSV image data, there is a problem in that a correction value cannot be set accurately.

  In this regard, in the image processing apparatus of the present embodiment, the correction unit 10 corrects the HSV image data after the gamma correction unit 40. For this reason, the correction unit 10 receives image data in which the gray scale is corrected according to the display characteristics of the liquid crystal panel. As a result, since the display image and the gray scale to be corrected coincide with each other, there is no deviation between the color correction set based on the display image and the color correction in the actual image data.

  As described above, according to the present embodiment, the correction value can be accurately set when performing fine color adjustment while visually confirming the color of the display image.

2. Configuration example of correction unit, specific example of correction value calculation method 2.1. First Configuration Example FIG. 2 shows a first configuration example of the correction unit 10. According to the image correction method of the first configuration example, correction with a high degree of freedom in the HSV format color space is performed by a linear expression using two reference values (correction reference target value HT and correction reference difference value A). Value can be realized.

  Specifically, the first configuration example illustrated in FIG. 2 includes a hue area determination unit 50 and a conversion unit 60 (color correction unit), and the first configuration example includes an input hue value Hin and an input saturation value Sin. , Input HSV image data composed of the input brightness value Vin is input. The hue area determination unit 50 determines whether the hue value Hin is a hue value corresponding to the set hue area (hue range), and outputs a determination signal JS. The converter 60 receives the determination signal JS and obtains the correction value ΔH. Then, the converter 60 corrects the hue value Hin with the correction value ΔH, and outputs the corrected hue value Hout.

  The image correction method of the first configuration example will be described with reference to FIG. Here, a circle shown in FIG. 3A represents a color space for hue and saturation in the HSV format color space. Specifically, the hue is expressed in the circumferential direction of the circle, and the saturation is expressed in the radial direction of the circle.

  As shown in FIG. 3A, for example, a range of hue values RL to RH is set as the hue region CR. In this case, the hue area determination unit 50 determines whether or not the hue value Hin is a value that falls within the hue area CR, and outputs a corresponding determination signal JS. Specifically, when the hue value Hin enters the hue area CR, the determination signal JS corresponding to the hue area CR is output, and when the hue value Hin does not enter the hue area CR, the determination signal JS is output to an area other than the hue area CR. A corresponding determination signal JS is output. When the determination signal JS corresponds to the hue region CR, the conversion unit 60 obtains a correction value ΔH corresponding to the hue region CR. Specifically, the correction value ΔH is obtained as a function of the hue value Hin or the saturation value Sin. Then, the conversion unit 60 corrects the image data (Hin, Sin, Vin) to image data (Hin + ΔH, Sin, Vin) and outputs it as output HSV image data (Hout, Sout, Vout). The correction by the correction value ΔH corresponds to moving a point corresponding to the image data (Hin, Sin, Vin) in the circumferential direction on the circle in FIG.

  The converter 60 can also receive the determination signal JS to obtain the correction value ΔS and correct the saturation value Sin. As shown in FIG. 3B, when the determination signal JS corresponds to the hue region CR, the conversion unit 60 obtains a correction value ΔS corresponding to the hue region CR. The correction value ΔS is obtained as a function of the hue value Hin or the saturation value Sin. The conversion unit 60 corrects the image data (Hin, Sin, Vin) to image data (Hin, Sin + ΔS, Vin), and outputs the image data (Hout, Sout, Vout). The correction by the correction value ΔS corresponds to moving a point corresponding to the image data (Hin, Sin, Vin) on the circle in FIG. 3B in the radial direction of the circle.

2.2. Specific example of correction value calculation method 2.2.1. Specific Example of Calculation Method of Correction Value that is a Function of Hue Value Next, a calculation method of the correction value ΔH will be described using a specific example. Since a similar specific example can be applied to the calculation method of the correction value ΔS, a specific example of the calculation method of the correction value ΔH will be described below.

  The following formula (1) shows a first specific example of a method for calculating the correction value ΔH. As shown in the following equation (1), the conversion unit 60 obtains a difference between the input hue value Hin and the correction reference target value HT, and uses the absolute value as the first difference value D1 (first difference absolute value). Asking. Next, the conversion unit 60 obtains the difference between the correction reference difference value A and the difference value D1, and obtains the absolute value as the second difference value D2 (second difference absolute value). In the first specific example, the conversion unit 60 uses the difference value D2 as the correction value ΔH.

  Here, the correction reference target value HT is a hue value in the hue region CR, and the correction reference difference value A is an arbitrary value regardless of the hue region CR. Further, the hue region CR is set by the low hue side region width HOL and the high hue side region width HOH with reference to the correction reference target value HT as shown in FIGS. 3 (A) and 3 (B). Specifically, the hue region CR is set by the hue values RL = HT−HOL and RH = HT + HOH. These values HT, A, HOL, and HOH are set by register values from a coefficient register 300 shown in FIG.

  By the way, if a specific area is corrected in the HSV format color space, a sharp color difference occurs at the boundary between the areas, and there is a problem that the color difference appears as a pseudo contour on the display image.

  For example, as a comparative example, a method of performing correction using a correction value that becomes zero at the boundary of the region can be considered. According to this comparative example, the correction value is gradually brought closer to zero, so that the color change due to the correction becomes smaller as the region boundary is approached, and a sudden color difference at the region boundary can be prevented.

  However, in this comparative example, there is a problem that the correction value setting range is limited because the correction value must be zero at the boundary of the region.

  In this regard, in the first specific example, the correction value ΔH is obtained using the correction reference difference value A. Thereby, the correction value ΔH can be set to an arbitrary value at the boundary of the hue region CR. Further, by using the absolute value of the difference, a complex correction value ΔH can be realized in spite of a simple linear expression. Further, as described later, a plurality of hue regions can be provided, and by connecting the characteristic line of the correction value ΔH smoothly at the boundary between the regions, it is possible to prevent an abrupt color difference at the boundary. Thus, according to the present embodiment, correction with a high degree of freedom can be performed.

  This will be described in more detail with reference to FIGS. 4A to 4D are examples of characteristic lines of the correction value ΔH in the hue range CR.

  As shown in FIG. 4A, when A = HOL = HOH is set, the correction value ΔH is the largest when Hin = HT, and the correction value ΔH = 0 is set at the boundary (hue values RL and RH) of the hue region CR. be able to.

  Next, when A = 0 is set as shown in FIG. 4B, the correction value ΔH = 0 when Hin = HT, and the correction value ΔH other than ΔH = 0 at the boundary of the hue region CR.

  Further, as shown in FIG. 4C, when A> HOL and A> HOH are set, the correction value ΔH is the largest when Hin = HT, and the correction value other than ΔH = 0 can be set at the boundary of the hue region CR.

  Further, as shown in FIG. 4D, when 0 <A <HOL and 0 <A <HOH are set, a plurality of bent characteristic lines of the correction value ΔH can be provided in the hue region CR.

  In this way, by adjusting the correction reference difference value A, an arbitrary correction value ΔH can be realized at the boundary of the hue region CR. Further, although the correction value ΔH is a linear expression because it is a linear expression of the hue value Hin, it can be constituted by a plurality of straight lines by using the absolute values of the difference values D1 and D2.

  Here, as in the second specific example of the calculation method of the correction value ΔH shown in the following equation (2), the conversion unit 60 obtains the correction value ΔH by multiplying the difference value D2 and the coefficient C (correction coefficient). You can also. The coefficient C is a positive or negative number.

  Thus, by multiplying the difference value D2 by the coefficient C, the correction value ΔH can be set to a positive value or a negative value, and the magnitude of the correction value ΔH can be adjusted. As a result, the correction direction and the slope of the change in the correction value ΔH with respect to the hue value Hin can be adjusted. According to the second specific example, an even wider adjustment of the correction value ΔH can be realized.

  Further, as in the third specific example of the calculation method of the correction value ΔH shown in the following equation (3), the conversion unit 60 adds the offset D to the result of multiplying the difference value D2 and the coefficient C to obtain the correction value ΔH. You can ask for it. The offset D is a positive or negative number.

  As a result, the entire hue region CR can be corrected uniformly. Specifically, by adjusting the offset D, the entire hue region CR can be corrected in the same direction with the same correction amount.

  Furthermore, as in the fourth specific example of the calculation method of the correction value ΔH shown in the following equations (4) and (5), the conversion unit 60 can also obtain the correction value ΔHL or ΔHH as the correction value ΔH. That is, the conversion unit 60 obtains the correction value ΔHL as the correction value ΔH when the hue value Hin corresponds to the low hue side region (the range of the hue value RL to the correction reference target value HT) in the hue region CR. Can do. Further, when the hue value Hin corresponds to a high hue side region (range of the correction reference target value HT to the hue value RH) in the hue region CR, the correction value ΔHH can be obtained as the correction value ΔH. Here, the correction reference difference values AL and AH are independent values. Similarly, coefficients CL and CH (correction coefficients) and offsets DL and DH are also independent values.

  The hue area determination unit 50 determines whether the input hue value Hin is a value that enters the low hue side area or a value that enters the high hue side area, and outputs a corresponding determination signal JS. .

  According to the fourth specific example, correction can be performed using the correction values ΔHL and ΔHH. Thereby, the correction value ΔH can be adjusted independently in the low hue side region and the high hue side region. Thus, according to the fourth specific example, correction with a high degree of freedom can be realized.

  Here, in the present embodiment, a plurality of hue regions may be provided. Specifically, in the present embodiment, hue region 1 to hue region k (first to kth hue regions, k is a natural number) can be set. Then, the conversion unit 60 can obtain correction values ΔH1 to ΔHk corresponding to the hue region 1 to the hue region k.

  More specifically, the following formulas (6) and (7) show a fifth specific example of the calculation method of the correction value ΔH. As shown in the following equation (6), the conversion unit 60 corresponds to the low hue side region n (the nth low hue side region) in the hue region n (n is a natural number equal to or less than k). In this case, the correction value ΔHLn is obtained as the correction value ΔH. Further, as shown in the following equation (7), when the hue value Hin corresponds to the high hue side region n (the nth high hue side region) of the hue region n, the correction value ΔHHn is obtained as the correction value ΔH. . Here, the correction reference difference values AL1 to ALk and AH1 to AHk are independent values. Similarly, correction reference target values HT1 to HTk, coefficients CL1 to CLk, CH1 to CHk, offsets DL1 to DLk, and DH1 to DHk are also independent values.

  The hue area determination unit 50 determines whether the input hue value Hin is a value that enters the low hue side area n and a value that enters the high hue side area n, and outputs a corresponding determination signal JS. Output.

  Incidentally, in the above-described comparative example, the correction value is set to zero at the boundary of the hue region in order to prevent the generation of a pseudo contour. For this reason, there is a problem that the adjustment range of correction is limited.

  In this regard, according to the fifth specific example, the characteristic line of the correction value ΔH can be connected with an arbitrary value at the boundary of the hue region. Further, the correction value ΔH can be adjusted independently in a plurality of hue regions. This will be described with reference to FIG. FIG. 5 shows an example of the correction value ΔH when hue regions 1 to 4 (k = 4) are provided adjacent to each other as a plurality of hue regions.

  For example, as indicated by LA1 in FIG. 5, the correction value ΔH can be set to a value other than zero at the boundary of the hue region 1 by adjusting the correction reference difference value A or the like. Further, the correction value ΔH can be set to a constant value by adjusting the offset D or the like as indicated by LA2. Then, as indicated by LA3, the correction value ΔH can be made zero by adjusting the correction reference difference value A or the like other than the boundary of the hue region. As indicated by LA4 and LA5, the correction value ΔH can be set to a positive value or a negative value by adjusting the coefficient C.

  In this way, the correction value ΔH can be independently adjusted in a plurality of hue regions. Therefore, correction with a high degree of freedom can be realized only by a combination of simple straight lines.

  Furthermore, as indicated by LA6 in FIG. 5, the correction value ΔH shown in LA1 and LA2 can be adjusted to the same value at the boundary between the adjacent hue region 1 and hue region 2. Thereby, the inclination of the straight line can be changed on the way.

  Thus, according to this embodiment, the characteristic line of the correction value can be connected with an arbitrary value at the boundary of the hue region. Therefore, a sudden color change at the boundary of the hue region can be prevented. As a result, it is possible to prevent the generation of a pseudo contour caused by a sudden color change and to realize correction with a high degree of freedom. Furthermore, since correction is performed using a simple primary expression, correction with a high degree of freedom can be realized without increasing the circuit scale as compared with the case where a secondary expression or the like is used.

  In addition, although FIG. 5 demonstrated the case where the hue area | region was adjacent, this embodiment is applicable also when the several hue area | region is separated.

2.2.2. Specific Example of Calculation Method of Correction Value that is Function of Saturation Value In the first configuration example of the correction unit 10 shown in FIG. 2, the correction value ΔH can also be obtained using the input saturation value Sin. As a result, image correction depending on not only the hue value Hin but also the saturation value Sin can be performed, so that the image quality of the image data can be further improved as compared with the first to fifth specific examples.

  The following formula (8) shows a sixth specific example of the calculation method of the correction value ΔH. As shown in the following equation (8), the conversion unit 60 can obtain the multiplication coefficient MC (= B * Sin) by multiplying the saturation value Sin and the coefficient B (saturation coefficient). Then, the conversion unit 60 can obtain the correction value ΔH by multiplying the difference value D2 by the multiplication coefficient MC. Here, the coefficient B is a positive or negative number.

  Thereby, the correction depending on the saturation value Sin can be realized. Further, the sign and size of the correction value can be adjusted by the coefficient B.

  As in the seventh specific example of the calculation method of the correction value ΔH shown in the following equation (9), the conversion unit 60 adds the coefficient C (correction coefficient) to the result of multiplying the saturation value Sin and the coefficient B and multiplies the result. The coefficient MC (= B * Sin + C) can also be obtained.

  According to the seventh specific example, the correction depending on the saturation value Sin and the correction not depending on the saturation value Sin described in the first to fifth specific examples can be added together. That is, by adjusting the coefficient B and the coefficient C, the correction value Δ can be adjusted by an arbitrary linear expression of the saturation value Sin. Thus, the correction value can be determined by intuitively combining the correction value that depends on the saturation value and the correction value that depends only on the hue value.

  Further, as in the eighth specific example of the calculation method of the correction value ΔH shown in the following equations (10) and (11), the conversion unit 60 converts the converted saturation value LUT [Sin] obtained by converting the saturation value Sin. The correction value ΔH can also be obtained by using this. This conversion process is a process of converting the saturation value Sin according to an arbitrary conversion rule (conversion formula).

  FIG. 6 schematically shows an example of correction using the converted saturation value LUT [Sin]. Specifically, an example in which the point (Hin, Sin) on the line LB1 is corrected to the point (Hin + ΔH, Sin) on the line LB2 by the correction value ΔH is shown. As shown in LB2, by obtaining the correction value ΔH using the converted saturation value LUT [Sin], the correction value ΔH having an arbitrary dependency on the saturation value Sin can be realized. Thus, according to this embodiment, desired correction according to the saturation value Sin can be performed.

  Note that the conversion process based on an arbitrary conversion rule can be realized using, for example, a lookup table 240 described later with reference to FIG.

  Here, as in the ninth specific example of the calculation method of the correction value ΔH shown in the following expression (12), the conversion unit 60 calculates the correction value ΔH by adding the offset D as in the third specific example. You can also. In addition, as in the tenth specific example of the calculation method of the correction value ΔH shown in the following expressions (13) and (14), the conversion unit 60 is similar to the third specific example in the low hue side of the hue region. Correction values corresponding to the region and the high hue side region can also be obtained, and correction values corresponding to a plurality of hue regions can be obtained as in the fourth specific example.

  Thereby, correction depending on the saturation value Sin can be performed in a plurality of hue regions. Further, by adjusting the offset D, it is possible to add correction that depends on the saturation value Sin and correction that is uniform over the entire hue region.

  For example, as in the following equation (15), the first to tenth specific examples can be applied to the correction value ΔS. In the first configuration example, the lightness value Vin can be corrected by obtaining the correction value ΔV. Also in this case, for example, the first to tenth specific examples can be applied to the correction value ΔV as in the following equation (16).

2.3. Second Configuration Example FIG. 7 shows a second configuration example of the correction unit 10. In the second configuration example, the image processing performed by the first configuration example described in FIG. 2 is performed in cascade, and includes a first correction unit 70 and a second correction unit 80.

  Specifically, the first correction unit 70 which is the first stage of the cascade corrects the input HSV image data (Hin, Sin, Vin) and outputs the first corrected HSV image data (H1, S1, V1). To do. Next, the correction unit 80, which is the next stage of the cascade, corrects the image data (H1, S1, V1) input from the first stage and outputs the second corrected HSV image data (H2, S2, V2). Output as HSV image data (Hout, Sout, Vout).

  More specifically, the first correction unit 70 includes a first hue area determination unit 72 and a first conversion unit 74. The hue area determination unit 72 determines whether the input hue value Hin is a hue value corresponding to the hue area, and outputs a first determination signal JS1. The conversion unit 74 corrects at least one value of the image data (Hin, Sin, Vin).

  For example, the hue value Hin is corrected as at least one value. In this case, the conversion unit 74 receives the determination signal JS1 and obtains the first correction value ΔH1. Then, the hue value Hin is corrected by the correction value ΔH1, and the first corrected hue value H1 (= Hin + ΔH1) is output. However, the correction unit 70 may correct the input saturation value Sin or the input lightness value Vin. Also, some or all of the image data (Hin, Sin, Vin) may be corrected.

  The second correction unit 80 includes a second hue area determination unit 82 and a second conversion unit 84. The hue area determination unit 82 determines whether the first corrected hue value H1 is a hue value corresponding to the hue area, and outputs a second determination signal JS2. The conversion unit 84 corrects at least one value of the image data (H1, S1, V1). For example, the conversion unit 84 corrects the hue value H <b> 1 as at least one value as in the conversion unit 74.

  The configurations and operations of the first correction unit 70 and the second correction unit 80 are the same as the configuration examples described in FIGS. 2 to 6 and the above equations (1) to (16). The description is omitted.

  Incidentally, in the first configuration example of the correction unit 10 described with reference to FIG. 2 and the like, it is possible to perform image correction with a high degree of freedom for a plurality of hue regions. However, there is also a problem that it may be difficult to correct overlapping hue regions.

  In this regard, according to the second configuration example of the correction unit 10 illustrated in FIG. 7, it is possible to easily correct overlapping hue regions by connecting the correction units in cascade. This point will be described with reference to FIGS. 8A and 8B.

  For comparison, a case where correction is performed by a one-stage correction unit will be described with reference to FIG. When the correction unit has one stage, it is not possible to set the hue area overlappingly. Therefore, it is necessary to divide and set overlapping hue regions CR1 and CR2 into regions I to III. Then, it is necessary to set a correction value ΔH1 for the regions II and III, and set a correction value for the region I by combining the correction values ΔH1 and ΔH2. Thus, in the case of a single correction unit, the number of hue regions to be set increases, and the correction value becomes complicated.

  In this regard, according to the second configuration example, the overlapping hue regions can be corrected in a cascade manner. That is, as shown in FIG. 8A, after the hue region CR1 is corrected with the correction value ΔH1, the overlapping hue region CR2 can be corrected with the correction value ΔH2. Thus, it is not necessary to set a complicated correction value as compared with the case where the correction unit is one stage. For example, the correction value can be intuitively set when it is desired to finely adjust a part of the wide range after correction.

  Furthermore, according to the second configuration example, the first correction unit 70 and the second correction unit 80 can correct different components in the image data. For example, as shown in FIG. 8B, the hue region CR1 can be corrected with the correction value ΔH1, and the hue region CR2 can be corrected with the correction value ΔS2.

  As described above, the first correction unit 70 and the second correction unit 80 are not described because they are the same as the first configuration example of the correction unit 10 illustrated in FIG. Specifically, the description of the first configuration example shown in FIG. 2 and the like can be applied to the first correction unit 70 and the second correction unit 80 by replacing the following terms.

  The first correction unit 70 and the configuration example shown in FIG. 2 correspond as follows. The hue region determination unit 72 and the conversion unit 74 of the first correction unit 70 correspond to the hue region determination unit 50 and the conversion unit 60 shown in FIG. The first determination signal JS1 and the first correction value ΔH1 of the first correction unit 70 correspond to the determination signal JS and the correction value ΔH in the configuration example of FIG. The first corrected HSV image data (H1, S1, V1) output by the first correction unit 70 corresponds to the HSV image data (Hout, Sout, Vout) output by the configuration example of FIG.

  The second correction unit 80 and the configuration example shown in FIG. 2 correspond as follows. The hue region determination unit 82 and the conversion unit 84 of the second correction unit 80 correspond to the hue region determination unit 50 and the conversion unit 60 of FIG. The second determination signal JS2 and the second correction value ΔH2 of the second correction unit 80 correspond to the determination signal JS and the correction value ΔH in the configuration example of FIG. The first corrected HSV image data (H1, S1, V1) input to the second correction unit 80 corresponds to the HSV image data (Hin, Sin, Vin) input to the configuration example of FIG.

3. Detailed Configuration Example FIG. 9 shows a detailed configuration example of the correction unit 10. FIG. 9 shows a detailed configuration example corresponding to the first configuration example of the correction unit 10 described in FIG. Similarly, the configuration example of FIG. 9 can also be applied as a detailed configuration example of the first correction unit 70 described in FIG. 7 and can also be applied as a detailed configuration example of the second correction unit 80. In the following description, the same reference numerals are assigned to the components such as the hue area determination unit described with reference to FIG.

  In the configuration example shown in FIG. 9, the hue value Hin or the saturation value Sin is calculated using the correction values of the above formulas (13) and (14) (tenth specific example) in k hue regions (k is a natural number). It is a structural example of the correction | amendment part 10 applied when correct | amending. In this configuration example, the hue correction mode for correcting the hue value Hin or the saturation correction mode for correcting the saturation value Sin is selected by setting the register value MOD.

  Specifically, the configuration example of FIG. 9 includes a coefficient register 300, a hue area determination unit 50, a coefficient selection unit 210, a correction difference value calculation unit 220, an LUT 240, a multiplication coefficient calculation unit 230, a multiplication unit 250, an addition unit 260, Multiplexers 272, 274, 276 and offset adders 282, 284, 286 are included.

  The coefficient register 300 includes a correction reference target value, a low hue side area width, a high hue side area width, a correction reference difference value, a correction coefficient, a saturation coefficient, an offset (HT1 to HTk, etc.) corresponding to each of k hue areas. ) Is set as the register value. Further, the mode MOD is set as a register value in the coefficient register 300. For example, a register value is set in the coefficient register 300 from the host computer 106 shown in FIG.

  The coefficient selection unit 210 receives the determination signal JS from the hue area determination unit 50 and reads the register value from the coefficient register 300. Specifically, among the register values input from the coefficient register 300, the register value corresponding to the hue area to which the hue value Hin belongs is selected, and the correction reference target value HT, the correction reference difference value A, the coefficient B, and the coefficient C, output as offset HOF, SOF, VOF. For example, when the hue value Hin is in the high hue side region of the hue region n (n is a natural number equal to or less than k), the coefficient selection unit 210 selects AHn from the register values AL1 to ALk, AH1 to AHk, and the correction reference Output as difference value A.

  The correction difference value calculation unit 220 receives the hue value Hin, the correction reference target value HT and the correction reference difference value A from the coefficient selection unit 210, and calculates a difference value D2 (= | A− | Hin−HT ||). Calculate and output.

  The LUT 240 (saturation conversion processing unit) converts the saturation value Sin into a converted saturation value LUT [Sin] using a lookup table and outputs the converted value. LUT [Sin] is a value uniquely determined from the saturation value Sin by a lookup table. Note that the LUT 240 may perform the conversion process not by using a lookup table but by using another calculation (for example, a calculation by a multiplier or an adder).

  Multiplication coefficient calculation unit 230 receives coefficients B and C and converted saturation value LUT [Sin] and outputs multiplication coefficient MC. The multiplication coefficient calculation unit 230 performs a multiplication process that multiplies the coefficient B and the converted saturation value LUT [Sin], performs an addition process that adds the result of the multiplication process and the coefficient C, and performs a multiplication coefficient MC (= B * LUT [ Sin] + C). The multiplication process of B and LUT [Sin] and the addition process of C may include multiplication and addition of other values.

  The multiplication unit 250 performs a multiplication process of the difference value D2 from the correction difference value calculation unit 220 and the multiplication coefficient MC from the multiplication coefficient calculation unit 230, and outputs a correction value ΔH (or ΔS, except for an offset). The multiplication process of D2 and MC may include multiplication or addition of other values.

  The multiplexer 272 receives the hue value Hin and the saturation value Sin. The multiplexer 272 receives the register value MOD and outputs the hue value Hin in the hue correction mode, and outputs the saturation value Sin in the saturation correction mode.

  The adder 260 adds the output of the multiplexer 272 and the correction value from the multiplier 250, and outputs a hue value (Hin + ΔH) or a saturation value (Sin + ΔS).

  The multiplexer 274 receives the hue value Hin, the hue value (Hin + ΔH), and the register value MOD, and the multiplexer 276 receives the saturation value Sin, the saturation value (Sin + ΔS), and the register value MOD. In the hue correction mode, the multiplexer 274 outputs the hue value (Hin + ΔH), and the multiplexer 276 outputs the saturation value Sin. In the saturation correction mode, the multiplexer 274 outputs the hue value Hin, and the multiplexer 276 outputs the saturation value (Sin + ΔS).

  The offset addition unit 282 adds the lightness value Vin and the offset VOF from the coefficient selection unit 210, and outputs the lightness value Vout. The offset addition unit 284 adds the output of the multiplexer 274 and the offset HOF from the coefficient selection unit 210, and outputs a hue value Hout. The offset addition unit 286 adds the output of the multiplexer 276 and the offset SOF from the coefficient selection unit 210, and outputs a saturation value Sout.

  In addition, the correction | amendment part of this invention is not limited to the detailed structural example shown in FIG. 9, A deformation | transformation implementation is possible. For example, the correction unit of the present invention can correct not only the hue value Hin and the saturation value Sin but also the lightness value Vin with a correction value using the difference value D2. In addition, the correction unit of the present invention can perform correction using the correction values described in the other specific examples as well as the tenth specific example.

4). Mobile Phone Terminal FIG. 10 shows a configuration example of a mobile phone terminal (electronic device). In FIG. 10, the image display control device 108 (integrated circuit device) is mounted on the mobile phone terminal 100 (electronic device). The cellular phone terminal 100 includes an antenna AN, a communication / image processing unit 102, a CCD camera 104, a host computer 106, an image display control device 108, and a driver 110 (including a panel driver 112 and a backlight driver 114). A display panel (for example, a liquid crystal panel (LCD)) 116 and a backlight (LED) 118.

  The communication / image processing unit 102 receives image data via the antenna AN. The host computer 106 outputs the image data and control signal received by the communication / image processing unit 102 to the image display control device 108. The CCD camera 104 outputs the captured image data to the image display control device 108.

  The image display control device 108 includes the image processing device of the present invention, and performs the image processing (image correction) described with reference to FIG. 1 on image data input from the host computer 106 or the CCD camera 104. Then, the image display control device 108 outputs a control signal to the driver 110 based on the image processed image data. Here, the image display control device 108 can also include a light control unit that adaptively performs backlight dimming according to the display image. In addition, a luminance / saturation correction unit that adaptively corrects luminance and saturation according to the display image and backlight dimming can be included. In this case, the image display control device 108 outputs the image data after the image processing of the present invention and the image processing of the luminance saturation correction unit to the panel driver 112, and the backlight dimming amount output by the dimming unit Is output to the backlight driver 114.

  The driver 110 drives the display panel 116 and the backlight 118. Specifically, the panel driver 112 receives the image data from the image display control device 108 and drives the display panel 116. Further, the backlight driver 114 drives the backlight 118 in response to the backlight light reduction amount from the image display control device 108.

  The image display control device 108 may be an integrated circuit device that is separate from the driver 110 or may be mounted on the driver 110. Further, the image display control device 108 may be mounted on a controller of the driver 110, or may be mounted on a drive control device (integrated driver and controller).

  Although the present embodiment has been described in detail as described above, it will be easily understood by those skilled in the art that many modifications can be made without departing from the novel matters and effects of the present invention. Accordingly, all such modifications are intended to be included in the scope of the present invention. For example, in the specification or drawings, at least once, different terms having a broader meaning or the same meaning (first difference value, second difference value, correction coefficient, saturation coefficient, saturation conversion processing unit, converted saturation value, etc.) The terms (difference value D1, difference value D2, coefficient C, coefficient B, look-up table, LUT [Sin], etc.) described together with can be replaced with the different terms anywhere in the specification or drawings. . Also, a hue area determination unit, a conversion unit, first and second correction units, first and second color space conversion units, a coefficient register, a coefficient selection unit, a correction difference value calculation unit, a saturation conversion processing unit, a multiplication coefficient The configurations and operations of the arithmetic unit, the integrated circuit device, the electronic device, and the like are not limited to those described in this embodiment, and various modifications can be made.

Configuration example of this embodiment First configuration example of correction unit 3A and 3B are explanatory diagrams of correction performed by the first configuration example of the correction unit. 4A to 4D are examples of characteristic lines of correction values. Example of correction value characteristic lines in multiple hue regions Example of correction using converted saturation value Second configuration example of correction unit 8A and 8B are examples of correction performed by the second configuration example of the correction unit. Detailed configuration example of the correction unit Configuration example of electronic equipment

Explanation of symbols

20 first color space conversion unit, 30 second color space conversion unit, 40 gamma correction unit,
50 hue area determination unit, 60 conversion unit, 70 first correction unit,
72 first hue region determination unit, 74 first conversion unit, 80 second correction unit,
82 second hue region determination unit, 84 second conversion unit, 100 electronic device,
102 communication / image processing unit, 104 CCD camera, 106 host computer,
108 integrated circuit device, 110 driver, 112 panel driver,
114 backlight driver, 116 display panel, 118 backlight,
210 coefficient selection unit, 220 correction difference value calculation unit, 230 multiplication coefficient calculation unit,
240 saturation conversion processing unit, 250 multiplication unit, 260 addition unit,
272, 274, 276 multiplexers,
282, 284, 286 Offset adder, 300 coefficient register,
Hin input hue value, Sin input saturation value, Vin input brightness value,
CR hue area, ΔH, ΔS correction value, HT correction reference target value,
A correction reference difference value, C correction coefficient, B saturation coefficient,
HOF, SOF, VOF offset,
Rin, Gin, Bin Input RGB image data,
Rout, Gout, Bout output RGB image data,
Hout, Sout, Vout output HSV image data,
H1, S1, V1 first corrected HSV image data,
H2, S2, V2 Second corrected HSV image data

Claims (15)

A gamma correction unit that performs gamma correction according to the display characteristics of the electro-optical panel on the input RGB image data, and outputs the corrected RGB image data;
A first color space conversion unit that converts the corrected RGB image data into image data in HSV format and outputs input HSV image data;
A correction unit that corrects the input HSV image data and outputs output HSV image data;
A second color space conversion unit that converts the output HSV image data into RGB format image data and outputs the output RGB image data;
An image processing apparatus comprising: In claim 1,
The correction unit is
A hue area determination unit that determines which hue area of the plurality of hue areas corresponds to an input hue value of the input HSV image data, and outputs a determination signal;
A conversion unit that obtains a correction value using the input hue value and the determination signal, and corrects the input hue value by the correction value;
An image processing apparatus comprising: In claim 1,
The correction unit is
A hue area determination unit that determines which hue area of the plurality of hue areas corresponds to an input hue value of the input HSV image data, and outputs a determination signal;
A conversion unit that obtains a correction value using the input hue value and the determination signal, and corrects an input saturation value of the input HSV image data by the correction value;
An image processing apparatus comprising: In claim 2 or 3,
The converter is
A first difference value that is an absolute value of a difference between the input hue value and the correction reference target value is obtained, and a second difference value that is an absolute value of the difference between the correction reference difference value and the first difference value is obtained. An image processing apparatus characterized in that the correction value is obtained using the second difference value. In claim 4,
The converter is
An image processing apparatus, wherein the correction value is obtained by multiplying the second difference value and a correction coefficient. In claim 5,
A coefficient register for setting the correction reference target value, the correction reference difference value, and the correction coefficient;
The converter is
An image processing apparatus, wherein the correction reference target value, the correction reference difference value, and the correction coefficient are read from the coefficient register based on the determination result from the hue area determination unit. In claim 1,
The correction unit is
A hue area determination unit that determines which hue area of the plurality of hue areas corresponds to an input hue value of the input HSV image data, and outputs a determination signal;
A conversion unit that obtains a correction value using an input saturation value of the determination signal, the input hue value, and the input HSV image data, and corrects the input hue value using the correction value;
An image processing apparatus comprising: In claim 1,
The correction unit is
A hue area determination unit that determines which hue area of the plurality of hue areas corresponds to an input hue value of the input HSV image data, and outputs a determination signal;
A conversion unit that obtains a correction value using an input saturation value of the determination signal, the input hue value, and the input HSV image data, and corrects the input saturation value by the correction value;
An image processing apparatus comprising: In claim 7 or 8,
The converter is
A first difference value that is an absolute value of a difference between the input hue value and the correction reference target value is obtained, and a second difference value that is an absolute value of the difference between the correction reference difference value and the first difference value is obtained. An image processing apparatus comprising: obtaining a multiplication coefficient using the input saturation value; and multiplying the second difference value by the multiplication coefficient to obtain the correction value. In claim 9,
The converter is
An image processing apparatus, wherein the input saturation value and a saturation coefficient are multiplied to obtain the multiplication coefficient, and the second difference value and the multiplication coefficient are multiplied to obtain the correction value. In claim 9,
The converter is
A saturation conversion processing unit that converts the input saturation value and outputs the converted saturation value;
An image processing apparatus, wherein a multiplication coefficient is obtained using the converted saturation value, and the correction value is obtained by multiplying the second difference value and the multiplication coefficient. In claim 11,
The converter is
An image processing apparatus, comprising: multiplying the converted saturation value and a saturation coefficient to obtain the multiplication coefficient; and multiplying the second difference value and the multiplication coefficient to obtain the correction value. A gamma correction unit that performs gamma correction according to the display characteristics of the electro-optical panel on the input RGB image data, and outputs the corrected RGB image data;
A first color space conversion unit that converts the corrected RGB image data into image data in HSV format and outputs input HSV image data;
A correction unit that corrects the input HSV image data and outputs output HSV image data;
A second color space conversion unit that converts the output HSV image data into RGB format image data and outputs the output RGB image data;
Including
The correction unit is
A first correction unit that performs correction on the input HSV image data and outputs first corrected HSV image data;
A second correction unit that corrects the first corrected HSV image data and outputs the second corrected HSV image data as the output HSV image data;
An image processing apparatus comprising:   An integrated circuit device comprising the image processing device according to claim 1.   An electronic device comprising the integrated circuit device according to claim 14.

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