JP2011061646A - Video processing apparatus, and video display apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To more appropriately perform image quality correction processing in each region of a video image. <P>SOLUTION: A video processing apparatus includes: an input signal processing section to which an input signal is inputted; a region classifying section for classifying an input video image included in the input signal inputted to the input signal processing section into a plurality of classification regions in accordance with a feature amount of the video image and calculating an area ratio of the plurality of classification regions within a predetermined range around a pixel to be corrected; and a video correcting section for calculating a new pixel value for the pixel to be corrected by multiplying a plurality of correction pixel values, which are calculated by performing on a target pixel value of the input video image a plurality of image corrections of different levels for each of the classification regions classified by the region classifying section, by the area ratios for the corresponding classified regions, respectively, and adding results of the multiplication. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a video processing apparatus, and more particularly to a technique for classifying video into a plurality of regions and preferably correcting image quality.

  In general, when image quality corrections such as contrast correction, edge enhancement, and noise reduction are performed on video signals input to video processing devices such as televisions and video cameras, the entire screen is processed with certain parameters and thresholds. There are many. In this case, since the correction effect covers the entire screen, it is difficult to set the correction effect so as to increase the correction effect in a part of the video area and cause no side effect in other areas.

  In the image quality correction for the entire screen, it is necessary to weaken the correction effect so that the side effect does not occur.

  Therefore, in order to suppress the deterioration of the correction effect due to the image quality correction on the entire screen, there is a method of classifying the video into a plurality of areas according to the feature quantities such as frequency, luminance, and color information and correcting the image quality for each area. See, for example, US Pat.

No. 2000-57335

  However, in the image quality correction for each classified region, there is a difference in correction effect at the boundary between the regions, so that there is a principle problem that the boundary appears as an intermittent image. Therefore, it is necessary to set so that a large difference does not occur in the correction effect between the regions, and as a result, the correction effect is reduced.

  In order to solve the problem, a method of averaging pixel values in the vicinity of the region boundary can be considered. However, when the boundary and the edge of the object in the video overlap, the edge becomes blurred. Further, in the case where the boundary is between the texture areas, there is a problem that the area in the vicinity of the averaged boundary looks like a band.

  It is an object of the present invention to suppress image deterioration such as the correction process for the entire screen and to perform image quality correction appropriately.

  In order to solve the above problems, according to an embodiment of the present invention, an input signal processing unit to which an input signal is input, and an input video included in the input signal input to the input signal processing unit are characterized by video. A region classification unit that classifies the plurality of classification regions according to the amount and calculates an area ratio of the plurality of classification regions within a predetermined range around the correction target pixel, and the region classification into the target pixel value of the input video The correction target is obtained by multiplying and adding a plurality of correction pixel values calculated by performing a plurality of image corrections at different levels for each classification region classified by the unit, by multiplying the area ratio for the corresponding classification region, respectively. A video correction unit that calculates a new pixel value for each pixel.

  According to the image processing apparatus of the present invention configured as described above, it is possible to suppress the deterioration of the correction effect in each region of the video and correct image quality more suitably.

1 is a block diagram illustrating a configuration of an image processing apparatus according to Embodiment 1 of the present invention. It is a figure explaining the effect of the image processing which concerns on the Example of this invention. It is a figure explaining the input / output characteristic of contrast correction. It is a block diagram explaining the structure of the area | region classification part by the luminance which concerns on the Example of this invention. It is a block diagram explaining the structure of the area | region classification | category part by the frequency which concerns on the Example of this invention. It is a figure explaining the area | region determination method by the luminance which concerns on the Example of this invention. It is a figure explaining the area | region determination method by the frequency which concerns on the Example of this invention. It is a figure explaining the area ratio calculation method which concerns on the Example of this invention. It is a figure explaining the area ratio calculation method which concerns on the Example of this invention. It is a block diagram explaining a part of structure of the image processing apparatus which concerns on Example 2 of this invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, the present invention is not necessarily limited to these embodiments. Note that, in the drawings for describing the embodiments, the same members are denoted by the same reference symbols in principle, and the repeated description thereof is omitted.

  First, an example of a video processing apparatus according to Embodiment 1 of the present invention will be described with reference to the configuration diagram of FIG.

  The video processing apparatus according to this embodiment includes an input signal processing unit 1, a contrast a correction unit 3, a contrast b correction unit 4, a contrast c correction unit 5, a region classification unit 6, a contrast / blend unit 13, a timing control unit 15, and an LCD. It consists of a panel 16 and the like. Here, the contrast a correction unit 3, the contrast b correction unit 4, the contrast c correction unit 5, and the contrast / blend unit 13 may constitute one video correction unit called a contrast correction unit.

  In the input signal processing unit 1, for example, a broadcast signal received by a built-in tuner is used as an input signal, a decoding process is performed, and a video signal 2 is output.

  The area classification unit 6 uses the video signal 2 as an input signal and divides the video signal 2 into a plurality of classification areas (for example, three classification areas of area a, area b, and area c) based on the video feature amount, and the area ratio of the area a 7. The area ratio 8 of the region b and the area ratio 9 of the region c are output. Details of the processing of the area classification unit 6 will be described later.

  The contrast a correction unit 3 performs contrast correction on the region a using the video signal 2 as an input signal, and outputs the video signal 10 after the contrast a correction. The contrast b correction unit 4 performs the contrast correction on the region b using the video signal 2 as an input signal, and outputs the video signal 11 after the contrast b correction. The contrast c correction unit 5 performs the contrast correction on the region c using the video signal 2 as an input signal, and outputs the video signal 12 after the contrast c correction.

  Here, the contrast a correction unit 3, the contrast b correction unit 4, and the contrast c correction unit 5 perform contrast correction with different levels of contrast correction.

FIG. 3 is a diagram for explaining input / output characteristics of a luminance signal as an example of contrast correction. In the figure, the horizontal axis represents the input luminance signal (IN), and the vertical axis represents the output luminance signal. That is, the input / output of the luminance signal is determined by the broken line. For example, when a luminance value _YIN is input as shown in the figure, _YOUT is output.

  Returning to FIG. 1, the contrast blending unit 13 includes an area ratio 7 for the region a, an area ratio 8 for the region b, an area ratio 9 for the region c, a video signal 10 after contrast a correction, and an image after contrast b correction. Using the signal 11 and the video signal 12 after the contrast c correction as an input signal, the video signal 14 after the contrast correction is output by weighted averaging using a predetermined arithmetic processing.

  Here, the weighted average using a predetermined calculation process is to multiply the area ratio of each region in a predetermined range around the target pixel by multiplying the video signal whose contrast is corrected in each region and add them. Details will be described later.

  Note that the contrast / blending unit 13 is an image processing synthesis unit that combines the effects of contrast correction, and the video signal 14 after contrast correction is a new corrected signal generated by the contrast / blending unit 13 for the correction target pixel. Including a large pixel value.

  The output video signal 14 after contrast correction is displayed on the LCD panel 16 via the timing control unit.

  Next, the region classification unit 6 will be described with reference to FIGS. 4A, 4B, 5A, 5B, 6A, and 6B.

  FIG. 4A is a diagram for explaining the configuration of a region classification unit based on luminance as an example of a feature amount. The area classification unit based on luminance includes a luminance determination unit 101, an area ratio a calculation unit 103, an area ratio b calculation unit 104, and an area ratio c calculation unit 105.

The luminance determination unit 101 receives the video signal 2 as an input signal, and sets a low luminance region, an intermediate luminance region, a threshold Y _TH0 that divides preset low luminance and intermediate luminance, and a threshold Y _TH1 that divides intermediate luminance and high luminance, The area signal 102 is output by classifying the area into a high luminance area. Here, in the following example, the low luminance area is defined as area a, the intermediate luminance area is defined as area b, and the high luminance area is defined as area c.

FIG. 5A is a diagram showing regions classified by luminance, where the horizontal axis represents the luminance value, the vertical axis represents the number of pixels, and is a histogram showing the luminance distribution in one screen. The region signal 102 is a signal for identifying the classified region. For example, when the region signal is α,
(Equation 1)
When region a (0 ≦ Y <Y _TH0 ), α = 0
When region b (Y _TH0 ≦ Y <Y _TH1 ), α = 1
When region c (Y _TH1 ≦ Y ≦ Y _MAX ), α = 2
It is represented by the numerical value.

を満たす。この時、領域αと面積比率算出対象領域内の面積比が個数の比に等しいとすると、Ｎ_α／Ｎが求める面積比率算出対象領域内の面積比となる。例えば、図６ｂの面積比率算出対象領域は５×５画素で構成されており、全画素数Ｎ＝１５、領域ａに属する画素数Ｎ_０＝１０である。よって、面積比率算出対象領域内の領域ａの面積比は１０／１５＝２／３となる。面積比率算出対象領域内の領域ｂの面積比、面積比率算出対象領域内の領域ｃの面積比も同様の方法で算出できる。 6A and 6B are diagrams for explaining an area ratio calculation method. The rectangle in FIG. 6a represents a pixel, and the thick framed pixel represents the position of the correction target pixel. A range surrounded by a dotted line is a range including pixels to be counted, and is a pixel count target range (hereinafter, area ratio calculation target region) for area ratio calculation. Here, the total number of pixels in the area ratio calculation target region is N. FIG. 6 b shows the relationship between the pixels in the area ratio calculation target region and the classified regions. Here, if the number of pixels belonging to the region α is N _α ,

Meet. At this time, if the area ratio in the area α and the area ratio calculation target area is equal to the ratio of the number, N _α / N is the area ratio in the area ratio calculation target area obtained. For example, the area ratio calculation target region in FIG. 6b is composed of 5 × 5 pixels, total pixel number N = 15, a pixel number N _{0 =} 10 belonging to the area a. Therefore, the area ratio of the area a in the area ratio calculation target area is 10/15 = 2/3. The area ratio of the region b in the area ratio calculation target region and the area ratio of the region c in the area ratio calculation target region can be calculated by the same method.

  Returning to FIG. 4A, the area ratio a calculation unit 103 receives the area signal 102, counts the number of pixels in which the area signal of the area ratio calculation target area is the area a, that is, α = 0, and the area ratio of the area a. 7 is output. The area ratio b calculation unit 104 receives the area signal 102, counts the number of pixels in which the area signal of the area ratio calculation target area is the area b, that is, α = 1, and outputs the area ratio 8 of the area b. The area ratio c calculation unit 105 receives the area signal 102, counts the number of pixels in which the area signal of the area ratio calculation target area is the area c, that is, α = 2, and outputs the area ratio 8 of the area c.

  Next, FIG. 4B is a diagram for explaining the configuration of the region classification unit 6 in the case where a frequency is used as a modification of the feature amount used in the region classification unit 6. In this case, the region classification unit 6 includes a frequency conversion unit 201, a frequency determination unit 203, an area ratio a calculation unit 205, an area ratio b calculation unit 206, and an area ratio c calculation unit 207.

The frequency conversion unit uses the video signal 2 as an input signal, performs frequency conversion by discrete Fourier transform or discrete cosine transform, for example, and outputs a frequency component 202. Frequency determination unit 203 inputs the frequency component 202 checks the threshold F _TH0 dividing the low frequency region and an intermediate frequency range which is set in advance, a frequency distribution that belongs to the threshold F _TH1 dividing the intermediate frequency band and a high frequency band, low The signal is classified into a frequency domain, an intermediate frequency domain, and a high frequency domain, and a domain signal 204 is output. Here, in the following example, a low frequency region is a region a, an intermediate frequency region is a region b, and a high frequency region is a region c.

なる数値にて領域を識別する。 FIG. 5b is a diagram showing regions classified by frequency. In the actual video space, the horizontal axis represents the horizontal pixel position, the vertical axis represents the vertical pixel position, and the rectangle represents the luminance value of the pixel position. The horizontal axis of the frequency space represents the horizontal frequency, the vertical axis represents the vertical frequency, and the rectangle represents the frequency component. An 8 × 8 range surrounded by a dotted line is a range to be subjected to frequency conversion (hereinafter referred to as a conversion target region). For example, the region signal is α, and the number of frequency components where the frequency component f of the frequency F = (F _u , F _v ) is equal to or greater than the threshold value f _α is counted. At this time, for a region where the frequency of the region _{α is} greater than or equal to the threshold value n _α

The area is identified by the numerical value.

である。 However, the absolute value of the frequency F is

It is.

  Returning to FIG. 4B, the area ratio a calculation unit 205 receives the area signal 204, counts the number of pixels in which the area signal of the area ratio calculation target area is the area a, that is, α = 0, and the area ratio of the area a. 7 is output. The area ratio b calculation unit 206 receives the area signal 204, counts the number of pixels in which the area signal of the area ratio calculation target area is the area b, that is, α = 1, and outputs the area ratio 8 of the area b. The area ratio c calculation unit 207 receives the area signal 204, counts the number of pixels in which the area signal of the area ratio calculation target area is the area c, that is, α = 2, and outputs the area ratio 8 of the area c.

Then, the contrast-blending unit 13, by using the area ratio and contrast correction value Y _alpha for each area calculated by the area classification unit, is calculated by Equation 5 below corrected luminance value Y of the correction target pixel.

  As shown in Equation 5, the correction of the correction target pixel is performed using the contrast correction value calculated by performing the weighted average of the contrast correction value of each region with the area ratio of each region for a predetermined range around the correction target pixel. By setting the luminance value, it is possible to perform more suitable image quality correction with less blur.

この場合、周囲画素の輝度値を平均化してしまい、ぼやけを生じてしまう。 Note that in the case of a general contrast correction technique using averaging, the luminance average Y _α (i, j) in the range of the distance d with the correction target pixel as the center is the weight coefficient N _ij (in the case of the average value). Often uses N _ij = 1) to calculate the corrected luminance value as shown in Equation 6 below.

In this case, the luminance values of surrounding pixels are averaged, resulting in blurring.

  According to the calculation method of the corrected luminance value of the present embodiment described using Expression 5, such blurring can be reduced.

  The effect of the image processing of the video processing apparatus according to the first embodiment of the present invention described above will be described using FIG.

  For example, as shown in FIG. 2, in an image of a bright outdoor and dark room, or an image taken under backlight, the entire house is beautiful, but a dark low-luminance area such as the room cannot be visually recognized. In some cases, the image may be crushed black (hereinafter referred to as black crushed), or a bright area with high brightness such as a blue sky or a cloud may be saturated with white (hereinafter referred to as white crushed).

  Here, if contrast correction is performed so as to widen the high luminance and low luminance bands in order to reduce black crushing and white crushing, the intermediate luminance band of landscapes such as trees is narrowed, resulting in gradation degradation. .

  In the conventional technology, this problem video is divided into a flat video area (low frequency area) and a texture area (high frequency area), and corrected by changing the contrast input / output characteristics individually. Will appear and the video will be intermittent. Further, if the correction difference is blurred by the average value, blurring does not occur at the edges of branches such as trees and leaves, and as a result, the video is deteriorated.

  On the other hand, in the image processing of the video processing device according to the first embodiment of the present invention described above, the area ratio of each region in the predetermined range around the target pixel is subjected to contrast correction of each region at the boundary portion of the region. Because the input / output characteristics of contrast are interpolated by weighted average processing that multiplies and adds to the video signal, the subject video is continuously corrected while preventing blurring of edges such as branches and leaves. Can do.

  According to the above-described image processing of the video processing apparatus according to the first embodiment of the present invention, it is possible to suppress the reduction in the correction effect in each area of the video and correct image quality more suitably.

  In the first embodiment described above, an example using the luminance or frequency characteristics as the feature amount has been described. However, other pixel values such as chromaticity may be used instead of the luminance.

  In the first embodiment, one type of image quality correction is performed on the divided areas. In the second embodiment, multiple types of image quality correction are performed on the divided areas.

  An example of a video processing apparatus according to the second embodiment of the present invention will be described with reference to the configuration diagram of FIG.

  The video processing apparatus according to the second embodiment is obtained by changing the configuration of the video processing apparatus according to the first embodiment other than the input signal processing unit 1, the timing control unit 15, and the LCD panel 16 to the configuration illustrated in FIG. . Since the configuration of the input signal processing unit 1, the timing control unit 15, and the LCD panel 16 is the same as that of the video processing apparatus according to the first embodiment, illustration and description thereof are omitted.

  As shown in FIG. 7, the video processing apparatus according to the second embodiment has an NRa processing unit 20 (here, “NR” is an abbreviation of Noise Reduction and means “noise reduction”) in addition to the above configuration. Noise reduction processing is also one of image correction processing.), NRb processing unit 21, NRc processing unit 22, NR blending unit, contrast a correction unit 3, contrast b correction unit 4, contrast c correction unit 5, region classification unit 6. Consists of components such as a contrast blend unit 13. Here, the NRa processing unit 20, the NRb processing unit 21, the NRc processing unit 22, and the NR blending unit may constitute a first video correction unit called an NR (noise reduction) unit. The b correction unit 4, the contrast c correction unit 5, and the contrast / blend unit 13 may constitute a second video correction unit called a contrast correction unit.

  The area classification unit 6 uses the video signal 2 output from the input signal processing unit 1 as an input signal, and divides it into a plurality of areas, for example, area a, area b, and area c, based on the video feature amount, The area ratio 7 of the area a, the area ratio 8 of the area b, and the area ratio 9 of the area c are output.

  The details of the region dividing process and the area ratio calculating process based on the video feature amount in the region classifying unit 6 are the same as those in the first embodiment, and thus detailed description thereof is omitted.

  The NRa processing unit 20 performs a noise reduction process on the region a using the video signal 2 as an input signal, and outputs a video signal 23 after the noise reduction a process. The NRb processing unit 21 performs a noise reduction process on the region b using the video signal 2 as an input signal, and outputs a video signal 24 after the noise reduction b process. The NRc processing unit 22 performs a noise reduction process on the region c using the video signal 2 as an input signal, and outputs a video signal 25 after the noise reduction c process.

Here, the noise reduction processing is expressed by, for example, a luminance average expression of Expression 6, and the weight coefficient N _ij is assumed to follow a Gaussian distribution.

  The NRa processing unit 20, the NRb processing unit 21, and the NRc processing unit 22 perform noise reduction processing with different levels of noise reduction.

  The NR blend unit 26 includes an area ratio 7 for the region a, an area ratio 8 for the region b, an area ratio 9 for the region c, a video signal 23 after the noise reduction a process, a video signal 24 after the noise reduction b process, and noise. Using the video signal 25 after the reduction c process as an input signal, the video signal 27 after the noise reduction process is output by weighted averaging using a predetermined arithmetic process.

  Here, the weighted average using a predetermined arithmetic process is to multiply and add the area ratio of each area in a predetermined range around the target pixel to the video signal after the noise reduction process of each area.

  Note that the NR blend unit 26 is an image processing synthesis unit that synthesizes the effect of noise reduction. The video signal 27 after the noise reduction process is a post-noise reduction process generated by the NR blend unit 26 for the correction target pixel. It includes pixel values.

  The contrast a correction unit 3 performs the contrast correction on the region a using the video signal 27 after the noise reduction process as an input signal, and outputs the video signal 10 after the contrast a correction. The contrast b correction unit 4 performs the contrast correction for the region b using the video signal 27 after the noise reduction process as an input signal, and outputs the video signal 11 after the contrast b correction. The contrast c correction unit 5 performs the contrast correction on the region c using the video signal 27 after the noise reduction process as an input signal, and outputs the video signal 12 after the contrast c correction.

  The contrast blending unit 13 includes an area ratio 7 for the region a, an area ratio 8 for the region b, an area ratio 9 for the region c, a video signal 10 after contrast a correction, a video signal 11 after contrast b correction, and a contrast c. Using the corrected video signal 12 as an input signal, the video signal 14 after contrast correction is output by weighted averaging using a predetermined arithmetic process. The video signal 14 after the contrast correction includes a new pixel value after correction generated by the contrast / blending unit 13 for the correction target pixel.

  Here, the weighted average using a predetermined calculation process is to multiply the area ratio of each region in a predetermined range around the target pixel by multiplying the video signal whose contrast is corrected in each region and add them.

  The output video signal 14 after contrast correction is displayed on the LCD panel 16 via the timing control unit. The output video signal 14 after contrast correction is displayed on the LCD panel 16 via the timing control unit.

In the configuration of FIG. 7, the configuration example of the two types of image quality correction processing for the divided areas has been described. In this image quality correction processing method, the calculation formula of the correction signal when the number of divided areas and the number of types of image quality correction processing are generalized is shown as Equation 7.

In other words, Expression 7 shows the relationship between the input data signal X _i (for example, luminance signal) and the output data signal X _{i + 1 in} the i-th image quality correction process F _{α, i} divided into n areas. .

  In the example of FIG. 7, for example, in the NR blend unit 26, the relationship between the input data and the output data is defined by an arithmetic expression in the case where i = 0 in Expression 7 above.

  In the example of FIG. 7, in the contrast / blend unit 13, the relationship between the input data and the output data is defined by an arithmetic expression when i = 1 in Expression 7 above.

  According to the image processing of the video processing apparatus according to the second embodiment of the present invention described above, even when a plurality of image quality corrections are performed on each area of the video, the reduction in the correction effect is suppressed and the image quality correction is performed more suitably. Can do.

DESCRIPTION OF SYMBOLS 1 Input signal processing part 2 Video signal 3 Contrast a correction part 4 Contrast b correction part 5 Contrast c correction part 6 Area classification | category part 7 Area ratio 8 of area a Area ratio 9 of area b Area ratio 10 of area c After contrast a correction Video signal 11 after contrast b correction video signal 12 after contrast c correction 13 contrast / blend unit 14 video signal 15 after contrast correction timing control unit 16 LCD panel 20 NRa processing unit 21 NRb processing unit 22 NRc processing unit 23 Video signal 24 after noise reduction a processing 24 Video signal after noise reduction b processing 25 Video signal after noise reduction c processing NR blend unit 27 Video signal 101 after noise reduction processing Luminance determination unit 102 Area signal 103 Area ratio a Calculation unit 104 Area ratio b calculation unit 105 Area ratio c calculation unit 201 The number conversion unit 202 frequency components 203 frequency determining unit 204 domain signal 205 area ratio a calculator 206 area ratio b calculator 207 area ratio c calculator

Claims (12)

An input signal processing unit to which an input signal is input;
The input video included in the input signal input to the input signal processing unit is classified into a plurality of classification regions according to the feature amount of the video, and the plurality of classification regions within a predetermined range around the correction target pixel. An area classification unit for calculating an area ratio;
For a plurality of corrected pixel values calculated by performing a plurality of image corrections at different levels for each classification region classified by the region classification unit into the target pixel value of the input video, the area ratio for the corresponding classification region is calculated. A video processing apparatus comprising: a video correction unit that calculates a new pixel value for the pixel of the correction target pixel by multiplying and adding each.   The video processing apparatus according to claim 1, wherein the feature amount of the video used in the region classification processing by the region classification unit is luminance or frequency characteristics of a video signal.   The video processing apparatus according to claim 2, wherein the plurality of image corrections at different levels in the video correction unit are different levels of contrast correction. An input signal processing unit to which an input signal is input;
The input video included in the input signal input to the input signal processing unit is classified into a plurality of classification regions according to the feature amount of the video, and the plurality of classification regions within a predetermined range around the correction target pixel. An area classification unit for calculating an area ratio;
The area ratio of the classification region corresponding to a plurality of corrected pixel values calculated by performing a plurality of image corrections at different levels for each classification region classified by the region classification unit into the target pixel value of the input video A first video correction unit that calculates a first pixel value by multiplying and adding each of
A plurality of image corrections at different levels for each of the classification regions classified by the region classification unit to the first pixel value calculated by the first video correction unit, the plurality of image corrections performed in the first video correction unit The correction target pixel is obtained by multiplying the plurality of correction pixel values calculated by performing a plurality of image corrections that are different from the image correction of the above by multiplying the corresponding area ratio by the respective area ratios. And a second video correction unit that calculates a second pixel value to be a new pixel value for the pixel.   The video processing apparatus according to claim 4, wherein the feature amount of the video used in the region classification processing by the region classification unit is luminance or frequency characteristics of a video signal. The plurality of different levels of image correction in the first video correction unit are different levels of noise reduction processing,
The video processing apparatus according to claim 5, wherein the plurality of image corrections at different levels in the second video correction unit are different levels of contrast correction. An input signal processing unit to which an input signal is input;
The input video included in the input signal input to the input signal processing unit is classified into a plurality of classification regions according to the feature amount of the video, and the plurality of classification regions within a predetermined range around the correction target pixel. An area classification unit for calculating an area ratio;
For a plurality of corrected pixel values calculated by performing a plurality of image corrections at different levels for each classification region classified by the region classification unit into the target pixel value of the input video, the area ratio for the corresponding classification region is calculated. A video correction unit that calculates a new pixel value for the pixel of the correction target pixel by multiplying and adding each, and
An image display device comprising: an image display unit that displays an image including a new pixel value calculated by the image correction unit.   The video display device according to claim 7, wherein the feature amount of the video used in the region classification processing by the region classification unit is a luminance or frequency characteristic of a video signal.   9. The video display apparatus according to claim 8, wherein the plurality of image corrections at different levels in the video correction unit are different levels of contrast correction. An input signal processing unit to which an input signal is input;
The input video included in the input signal input to the input signal processing unit is classified into a plurality of classification regions according to the feature amount of the video, and the plurality of classification regions within a predetermined range around the correction target pixel. An area classification unit for calculating an area ratio;
The area ratio of the classification region corresponding to a plurality of corrected pixel values calculated by performing a plurality of image corrections at different levels for each classification region classified by the region classification unit into the target pixel value of the input video A first video correction unit that calculates a first pixel value by multiplying and adding each of
A plurality of image corrections at different levels for each of the classification regions classified by the region classification unit to the first pixel value calculated by the first video correction unit, the plurality of image corrections performed in the first video correction unit The correction target pixel is obtained by multiplying the plurality of correction pixel values calculated by performing a plurality of image corrections that are different from the image correction of the above by multiplying the corresponding area ratio by the respective area ratios. A second video correction unit that calculates a second pixel value to be a new pixel value for the pixel of
An image display device comprising: an image display unit that displays an image including the second pixel value calculated by the second image correction unit.   The video display device according to claim 10, wherein the feature amount of the video used in the region classification processing by the region classification unit is a luminance or frequency characteristic of a video signal. The plurality of different levels of image correction in the first video correction unit are different levels of noise reduction processing,
12. The video display apparatus according to claim 11, wherein the plurality of image corrections at different levels in the second video correction unit are different levels of contrast correction.

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