JP4831173B2 - Video display device - Google Patents

Description

  The present invention relates to a video display device such as a television receiver, and more particularly to a video display device including a video processing circuit that detects a feature of an input video signal and performs gradation correction.

  For example, Patent Documents 1 and 2 are known as techniques for improving the contrast feeling used in display devices that display video. Patent Document 1 calculates a luminance histogram and an average luminance level (hereinafter referred to as “APL”) from an input video signal, and sets a gamma curve for gamma correction using the luminance histogram and APL. Disclose.

  Japanese Patent Application Laid-Open No. 2004-228561 discloses that an area where the frequency frequency of the luminance histogram is fixed is calculated from an input video signal, and a luminance value correction parameter is calculated according to the frequency frequency of the area to set a gamma curve.

JP-A-8-317250 JP 2000-307896 A

  Patent Documents 1 and 2 do not take into account the case where a high frequency part of the luminance histogram (hereinafter referred to as a feature region) is dispersed in a plurality. When this characteristic region is dispersed in a plurality, the specific range increases, it becomes difficult to sharply increase the slope of the gamma curve, and only a slight effect of improving the contrast feeling can be obtained. Furthermore, when there is a part where the frequency frequency of the luminance histogram is high at a place where the input amplitude level is high or low, if this area is not included in the specific range, correction processing is not performed, so crushing or skipping occurs. It may occur.

  In other words, the techniques described in Patent Documents 1 and 2 may perform optimal processing for improving contrast when there is one feature region, but there are feature regions at multiple locations. It is difficult to perform optimal processing. Furthermore, the techniques described in Patent Documents 1 and 2 do not consider performing color correction using the detected histogram.

  The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a technique capable of improving the contrast well and displaying a high-quality image. It is another object of the present invention to provide a technique capable of displaying a high-quality image with good color correction.

In order to achieve the above object, a video display device according to the present invention detects a hue histogram indicating a frequency distribution for each of a plurality of hues in a predetermined period of the video signal as a characteristic of the video signal from an input video signal. A control unit for determining a hue exceeding a predetermined first boundary value and a hue lower than a second boundary value smaller than the first boundary value from the hue histogram detected by the feature detection unit; The saturation of the hue determined to exceed the first boundary value by the control unit is increased so as not to exceed the saturation upper limit value, and the saturation of the hue determined to be below the second boundary value is And a color correction unit that corrects the video signal so as to reduce the saturation so as not to fall below a saturation lower limit .

  According to the present invention, a high-quality video can be displayed.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a block diagram showing a first embodiment of a video processing apparatus according to the present invention. In FIG. 1, 1 is a video processing device, 2 is an input terminal for video signals, 3 is a signal format for RGB signals such as PC (personal computer) signals and video signals (Y, Pb, Pr / Y, Cb, Cr). 4 is a feature detection unit that detects APL and a luminance histogram from the luminance signal Y, and 5 is information based on information detected by the luminance feature detection unit 4. Is a calculation control means (hereinafter referred to as “microcomputer”) for generating various control signals, 6 is a gamma correction unit for performing gamma correction processing according to the brightness of the input video signal, and 7 is a feature region analyzed by a luminance histogram. A feature emphasizing unit for extending the gradation, 8 is a color correcting unit for adjusting the amplitude of the saturation according to the correction amount of the gamma correction processing, and 9 is suitable for the panel using the video signals (Y, Cb, Cr). Output matrix conversion unit for converting the No. format, 10 an output terminal for a video signal, the 11 is a video display unit.

  The input video signal is input to the input terminal 2 of the video processing device 1. An input video signal input to the input terminal 2 is converted into a luminance signal Y and color difference signals Cb and Cr by the input matrix converter 3. The input video signal may have any signal format such as an RGB signal such as a PC signal or a video signal (Y, Pb, Pr / Y, Cb, Cr). The luminance feature detection unit 4 detects an APL and a luminance histogram within the video period of one field or one frame from the luminance signal Y. Information of the detected APL and luminance histogram is input to the microcomputer 5. The microcomputer 5 analyzes the characteristic region of the distribution characteristic of the luminance histogram from the input APL and luminance histogram information, forms a luminance control signal based on the analysis result, and sends it to the gamma correction unit 6 and the feature enhancement unit 7. Each outputs a luminance control signal. The gamma correction unit 6 performs control for calculating and adapting a gamma curve optimum for the brightness of the luminance signal Y based on the luminance control signal formed by the microcomputer 5. Further, the feature emphasizing unit 7 performs control to extend the gradation of the feature region analyzed by the luminance histogram using the gamma curve calculated and adapted by the gamma correction unit 6 in the previous stage based on the luminance control signal. And output to the output matrix converter 9. Further, the color correction unit 8 adjusts the saturation amplitude corresponding to the correction amount of the gamma curve by the gamma correction process, and outputs the result to the output matrix conversion unit 9. In the output matrix conversion unit 9, the luminance signal Y processed by the feature enhancement unit 7 and the color difference signals Cb and Cr processed by the color correction unit 8 are converted into a signal format suitable for the video display unit 11. Output to the output terminal 10. As a result, the output video signal output from the output terminal 10 is displayed by the video display unit 11 as an image with improved contrast with respect to the input video signal.

  Hereinafter, a detailed description of gamma correction processing performed on the basis of the detected APL and the luminance histogram, which is performed by the luminance feature detection unit 4, the microcomputer 5, the gamma correction unit 6, and the feature enhancement unit 7, which are features of the present embodiment. Is performed with reference to FIGS.

  FIG. 2 is an explanatory diagram of a calculation method in the microcomputer 5 using the APL detected by the luminance feature detection unit 4 and the detection result of the luminance histogram, and an image quality improvement method by gamma correction processing in the gamma correction unit 6.

  FIG. 2A shows the result of detecting a luminance histogram for a certain input video signal. In the present embodiment, the frequency frequency of the luminance histogram detected by the luminance feature detection unit 4 is analyzed, and the luminance histogram low region below the input amplitude level point a in FIG. 2A is surrounded by points a and b. The region is divided into three regions, the luminance histogram middle region and the luminance histogram high region above the point b, and the region to be included in the input video signal is selected. In the area selection method, boundary values are arbitrarily provided for the above three areas, and the microcomputer 5 determines whether or not the total frequency frequency of each area exceeds the set boundary value and performs area selection. Is the method. In addition, there is a method in which the microcomputer 5 calculates the ratio of the total frequency to the width of the area based on the input amplitude level for each of the three areas, and selects the area having the largest ratio calculation result. For example, in the luminance histogram detection result of FIG. 2A, since the frequency frequency is frequently present in the luminance histogram high region, it is determined that the boundary value arbitrarily set in the luminance histogram high region is exceeded. Selected.

  FIG. 2B is an explanatory diagram showing a plurality of gamma curve characteristics applied by the gamma correction unit 6. In the figure, “γ1” is a linear gamma curve in which the level of input / output characteristics (output level relative to input) does not increase or decrease in a specific area, and “γ0” has the level of input / output characteristics in any area. “Γ2” is a gamma curve that is higher than “γ1” and increases the level of input / output characteristics particularly in the low luminance region, and “γ2” has an input / output characteristic level lower than “γ1” in any region, The gamma curve “γ3” in which the characteristic level increases is a gamma curve in which the input / output characteristic level is lower than “γ2” in any region and the input / output characteristic level increases most in the high luminance region. “Γ1” can also be set not with a linear and linear gamma curve characteristic but with a non-linear gamma curve characteristic.

  2C, 2D, and 2E correspond to the APL of the input video signal based on the region selection determined by the luminance histogram shown in FIG. It is explanatory drawing which showed the characteristic which switches to the shown gamma curve automatically, and prepares the gamma curve switching characteristic for each of the three luminance histogram regions described in FIG. That is, when the luminance histogram high region is selected in FIG. 2A, the gamma curve characteristics are switched as shown in FIG. In FIG. 2C, APL0 to APL5 are switching points of the set average luminance level (APL). When the APL is 0 or more and APL0 or less, the gamma curve of “γ1” is selected, the gamma curve of “γ0” is selected when the APL1 is equal to or more than APL2, the gamma curve of “γ2” is selected for the APL3, and the gamma of “γ3” is selected from APL4 to 1023. Select a curve. Here, between APL0 and APL1, a gamma curve is obtained by calculation in the microcomputer 5 so as to obtain a characteristic that makes a linear transition between “γ1” and “γ0” (the transition state of the gamma curve). Will be described in detail in FIG. 3 below). Similarly, between APL2 and APL3, and between APL3 and APL4, the microcomputer 5 is set so that the characteristics linearly transition between “γ0” and “γ2” and between “γ2” and “γ3”. Obtained by calculation in In FIG. 2 (a), when the luminance histogram middle region is selected, the gamma curve characteristic switching of FIG. 2 (d) is performed, and when the luminance histogram low region is selected, the gamma curve characteristic switching of FIG. 2 (e) is performed. The same calculation process as that in the case of selecting the high region of the luminance histogram is performed. In the area selection, one of the three areas is usually selected, but when it is not selected, for example, a gamma curve of “γ1” is set.

  As described above, the characteristics of the input video signal are clarified by the luminance histogram, a plurality of areas are selected according to the characteristics, and the brightness of the entire input video is analyzed by APL, thereby the range of “γ0” to “γ3”. Can automatically select and adapt the non-linear gamma curve characteristic that is most suitable for the brightness (APL) of the input video signal, and improve the contrast according to the brightness of the input video signal. It can be carried out.

  Next, a calculation method of gamma curve characteristics obtained by calculation of the microcomputer 5 in the case of APL between the APL switching points described above with reference to FIG.

  FIG. 3 (a) shows the gamma curve switching characteristics between APL0 and APL1 in FIG. 2 (c). For example, when the APL of the input video signal is APL01, the gamma curve characteristic for APL01 of “γ01” existing between “γ1” selected by APL0 and “γ0” selected by APL1 is calculated by the microcomputer 5 Ask. APL01 is a point separated from APL0 by a distance of p and APL1 by a distance of q. That is, since the distance between APL0 and APL1 is p: q, APL01 obtains a gamma curve “γ01” that is separated by a distance of p: q from the respective gamma curve characteristics of “γ1” and “γ0”. .

  The gamma curve characteristic of “γ01” is shown in FIG. In the gamma curve characteristics with the input / output amplitude levels of 1023, “γ01” is obtained by the calculation of the microcomputer 5 at a p: q distance ratio between “γ1” and “γ0”. That is, this gamma curve becomes the optimal gamma curve characteristic when the APL of the input video signal is APL01. As a result, in the range from APL0 to APL1, gamma curve characteristic calculation proportional to the APL of the input video signal can be performed, and gamma correction processing in conjunction with APL is performed. This can be obtained by the same calculation at other APL switching points, and the calculation method is the same between “γ1” and “γ2” and between “γ2” and “γ3”, and the slope of the section The same is true if is going up to the right or going down. Although FIG. 2 (c) has been described here, gamma correction processing by the same calculation method is also performed for FIG. 2 (d) or FIG. 2 (e).

  4 and 5, based on the detection result of the luminance histogram detected by the luminance feature detection unit 4 according to FIG. 1, the feature enhancement unit 7 applies a plurality of feature regions to the gamma curve adapted by the gamma correction unit 6. A gradation expansion process for further expanding the gradation will be described.

  FIG. 4A shows an example of a video signal that is a high-luminance video as a whole in the input video signal, but includes a low-luminance video in part. In the image of FIG. 6, in order to extend the gradation of the high luminance area in the gamma correction unit 6, the gamma curve of the high luminance area such as “γ2” or “γ3” is set to be inclined and the gamma curve of the low luminance area is set. The gamma curve characteristic that causes the inclination of the image to fall is selected. In this case, the contrast feeling is improved for the video in the high luminance area, but the contrast feeling is impaired for the video in the low luminance area, and the possibility of collapse is considered. In view of this, the feature enhancement unit 7 applies a gradation expansion process for improving the contrast of the video in the high luminance region and the low luminance region and preventing the collapse.

FIG. 4B is a calculation result of a luminance histogram for the video signal of FIG. In FIG. 4A, since the video signal of FIG. 4A generally has a large number of high brightness areas, the luminance histogram calculation results are also distributed with a high frequency in the high brightness areas. Since there is no frequency, there is no frequency, and since some video is included in the low luminance area, the frequency of the low luminance area is somewhat distributed. In this case, the microcomputer 5 first determines that the area of the input video signal is the high brightness histogram area. Then, in accordance with the luminance histogram high region gamma curve characteristic switching as shown in FIG. . Further, power frequency is high areas such as near x ₀ and y ₀ in FIG. 4 (b) is to be analyzed, wherein the region selection exceeds a preset feature region determination boundary value is by the microcomputer 5. In the selected feature region, the feature emphasizing unit 7 performs a process of further expanding the gradation for the region. It is assumed that the gradation expansion rate depends on the frequency. (Details of the gradation expansion processing will be described with reference to FIG. 6 described later.)
FIG. 4C shows the output result of the gamma curve obtained by extending the gradation for the characteristic regions x ₀ and y ₀ selected in FIG. 4B with respect to the gamma curve adapted by the gamma correction unit 6. . The gamma curve indicated by the dotted line in the figure is a gamma curve adapted by the gamma correction unit 6. Relative gamma curve indicated by the dotted line, when the stretching the gray level of the characteristic region x ₀ and y _0, the gamma curve of the solid line in the non-linear is made. The latter gamma curve compared to former, the slope is increased steeply in the characteristic region x ₀ and y _0, it can be seen that standing right up. This will stretch the grayscale characteristic region x ₀ and y _0, it is possible to display images with improved contrast feeling for this region. In other words, this technique can also be used to improve the collapse in the low-brightness region, which is thought to be due to the gamma curve being slanted.

  FIG. 5 (a) is an example of a video signal that is an overall low-brightness video in the input video signal, but partially contains a high-brightness video, contrary to FIG. 4 (a). In the image of FIG. 6, in order to extend the gradation of the low luminance region in the gamma correction unit 6, the inclination of the gamma curve of the low luminance region such as “γ0” is set and the inclination of the gamma curve of the high luminance region is laid down. A gamma curve characteristic is selected. In this case, the contrast feeling is improved with respect to the video in the low luminance area, but the contrast feeling is impaired with respect to the video in the high luminance area, and there is a possibility that the image may be crushed. In view of this, the feature enhancement unit 7 applies a gradation expansion process for improving the contrast of the video in the high luminance region and the low luminance region and preventing the collapse.

FIG. 5B is a calculation result of a luminance histogram for the video signal in FIG. In the same figure, in the video signal of FIG. 5 (a), since there are many videos in the low luminance area as a whole, the luminance histogram calculation results are also distributed in a large number of frequencies in the low luminance area. Since there is no frequency, there is no frequency, and since some video is included in the high luminance area, the frequency of the high luminance area is somewhat distributed. In this case, the microcomputer 5 first determines that the area of the input video signal is the low luminance histogram area. Then, a gamma curve (for example, “γ0”) corresponding to the APL of the input video signal is set in the gamma correction unit 6 in accordance with the luminance histogram low region gamma curve characteristic switching as shown in FIG. Further, in FIG. 5B, if a region with a high frequency such as near x ₁ and y ₁ exceeds a feature region determination boundary value preset by the microcomputer 5, it is analyzed and selected as a feature region. In the selected feature region, the feature emphasizing unit 7 performs a process of further expanding the gradation for the region. It is assumed that the gradation expansion rate depends on the frequency.

FIG. 5 (c), with respect to the gamma curve that is adapted by the gamma correction unit 6 is the output of the gamma curve that expands the tone of Figure 5 (b), wherein the region x ₁ and y ₁ are selected in . The gamma curve indicated by the dotted line in the figure is a gamma curve adapted by the gamma correction unit 6. When the gradations for the characteristic regions x ₁ and y ₁ are extended with respect to the gamma curve indicated by the dotted line, a solid nonlinear gamma curve is created. It can be seen that the slope of the latter gamma curve rises sharply in the characteristic regions x ₁ and y ₁ and rises to the right in comparison with the former. As a result, the gradations of the feature areas x ₁ and y ₁ are expanded, and it is possible to express an image with improved contrast for the areas. In other words, this technique can also be used to improve the collapse in the high-luminance region, which is considered because the gamma curve is slanted.

  With reference to FIG. 6, the tone enhancement processing method for the feature region in the feature enhancement unit 7 will be described. In the figure, when the characteristic region is in the range of points i and j, the gradation is expanded by establishing a gamma curve between i and j. As a method for setting up the gamma curve, the point i is lowered to a point i ″ with respect to the points i and j originally set on the dotted gamma curve generated by the gamma correction unit 6 in FIG. Is a raised point j ″. The maximum value of the decreasing rate dr and the increasing rate ur are set arbitrarily. Based on the luminance histogram calculated by the luminance feature detecting unit 4, the frequency fr in which the frequency in the feature region exceeds a certain boundary value is calculated by the microcomputer. Based on the control signal calculated in 5, the feature enhancement unit 7 multiplies each of dr and ur by fr to determine the output amplitude levels of the points i "and j". In the figure, a state in which the point i "and the point j" are created by the control of lowering i and increasing j is shown. However, by setting the ratio of either dr or ur to 0, It is also possible to perform control in which only the point j is raised and only the point j ″ is produced while the point i is left as it is, and control in which only the point i ″ is produced by lowering the point i and keeping the point j in the feature region as it is. However, by controlling the point i to be raised and the point j to be lowered, the gradient of the gamma curve in the feature region rises most steeply, so that the contrast can be improved. In the figure, only one area for expanding the gradation is used. However, even when there are a plurality of characteristic areas, it can be handled by the same process and can be processed continuously. In this case, since the point currently being calculated is not smaller than the point on the left, correction processing is performed so that the relationship of i ′ <i ″, i ″ <j ″, j ″ <j ′ always holds. It is necessary to apply. This is because video collapse occurs when the point on the left is larger than the point to be calculated.

  For the gamma curve processed and output by the gamma correction unit 6 and the feature enhancement unit 7, the gamma curve when the output amplitude level is lower than the input amplitude level from the reference linear input / output characteristic “γ1”, for example, For “γ2” and “γ3”, the color correction unit 8 performs a process of reducing the saturation amplitude. In the gamma curve characteristics, when the output amplitude level is lower than the input amplitude level, the color becomes dark and color collapse may occur. Therefore, the saturation amplitude is adjusted according to the distance ratio used in the gamma correction unit 6 described in FIG. As a result, it is possible to set a color density suitable for the corrected gamma curve and prevent color crushing or the like.

  As described above, the gamma curve characteristic according to the present invention is a gamma in which gamma correction processing is performed on a plurality of feature regions in a nonlinear manner after being processed by both the gamma correction unit 6 and the feature enhancement unit 7. It becomes a curve characteristic. For example, for an overall bright image, a gamma correction unit 6 performs a gamma correction process using an APL and a luminance histogram to extend the gradation of a high luminance region, and a feature region obtained as a result of analyzing the luminance histogram by a feature enhancement unit 7 Is used to generate a gamma curve that is optimal for the input video signal. For an overall dark image, the gamma correction unit 6 performs a gamma correction process using the APL and the luminance histogram to extend the gradation of the low luminance region, and the feature enhancement unit 7 analyzes the luminance histogram. To generate a gamma curve that is optimal for the input video signal. In this way, by performing gamma correction processing in both the gamma correction unit 6 and the feature enhancement unit 7, for example, a low luminance is included in a part of the high luminance video as a whole regardless of the input video signal. Any video that contains high brightness in a part of a low-luminance video or an entire video that wants to improve the sense of contrast by calculating the optimal gamma curve from multiple gamma curves for the input video signal The gradation of the area can be expanded.

  FIG. 7 is a block diagram showing a second embodiment of the video processing apparatus according to the present invention. In this embodiment, a luminance / color feature detection unit that detects an APL, a luminance histogram, and a hue / saturation histogram from the luminance signal Y and the color difference signals Cb and Cr instead of the luminance feature detection unit 4 configured in FIG. 12 is provided. The same parts as those in FIG. 1 are denoted by the same reference numerals, and redundant description thereof is omitted.

  In FIG. 7, the luminance / color feature detection unit 12 uses the luminance signal Y converted from the input video signal by the input matrix conversion unit 3 and the color difference signals Cb and Cr, and the APL and luminance in the video period of one field or one frame. Detect histograms and hue / saturation histograms. Since the luminance signal Y is controlled in the same way as in the first embodiment, the subsequent description is omitted. Information on the hue / saturation histogram detected by the luminance / color feature detection unit 12 is input to the microcomputer 5. The microcomputer 5 analyzes the distribution characteristics of the hue histogram and the saturation histogram for each hue from the input hue / saturation histogram information, creates a color control signal based on the analysis result, and sends it to the color correction unit 8. Outputs a color control signal. The color correction unit 8 adjusts the amplitude of the saturation for each hue by the color control signal created by the microcomputer 5 and outputs the result to the output matrix conversion unit 9. Thereafter, the same control as in the first embodiment is performed.

  Detailed description of the saturation amplitude adjustment performed by the brightness / color feature detection unit 12, the microcomputer 5, and the color correction unit 8 based on the detected hue / saturation histogram, which is a feature of the present embodiment. I do.

  First, an example of the detection result of the hue / saturation histogram detected by the luminance / color feature detection unit 12 is shown in FIG. As shown in the figure, the hue histogram represents the frequency of each hue with respect to the input video signal. Thereby, the tendency and frequency of the color by the input video signal can be analyzed.

  Next, FIG. 9 shows an example of the detection result of the hue / saturation histogram detected by the luminance / color feature detection unit 12. As shown in the figure, the saturation histogram is divided into four regions for each hue: achromatic color, low saturation, medium saturation, and high saturation. In the case of an achromatic color, the color is white or black because there is no color. In the case of a chromatic color, when the saturation is high, the color becomes darker and brighter, and when the saturation is low, the color becomes light. That is, in the saturation histogram according to the present invention, when the saturation is high, the frequency of the most vivid color is indicated, when the saturation is low, the frequency of the cloudy color is indicated, and when the saturation is high, the saturation is high and saturation. Represents the frequency of intermediate colors of low degree. In FIG. 9, a saturation histogram relating to blue and yellow in each hue is given as an example. However, in the present invention, the number of hues can be freely selected, so that many saturations included in the input video signal are included. It is also possible to calculate a histogram.

  The saturation amplitude adjustment in this embodiment is controlled using the hue histogram and saturation histogram. That is, in the hue histogram, the microcomputer 5 determines which of the detection results is based on a predetermined boundary value Hh that is determined to have a high frequency and a predetermined boundary value Hl that is determined to have a low frequency. Analyze whether there are more or less colors. For example, in the hue histogram of FIG. 8, it is determined that the color exceeding the boundary value Hh is blue, and the color below the boundary value Hl is yellow. FIG. 10 shows the result of the amplitude adjustment of the saturation (saturation histogram after amplitude adjustment) for the determined blue and yellow, that is, the saturation histogram of FIG. 9 (saturation histogram before amplitude adjustment of FIG. 10). . For the blue color shown in FIG. 10A, since the boundary value Hh is exceeded, processing for increasing the saturation amplitude is performed. As a result, the frequency of high saturation increases after the adjustment compared to before the adjustment, so that the color is expressed more vividly. However, if the frequency of high saturation is increased too much, the color may become too dark and the color may be crushed. Therefore, the upper limit of the frequency in the high saturation region accompanying the increase in amplitude (referred to as “amplitude increase boundary value”). ) To prevent color collapse by preventing the boundary value from being exceeded. Since yellow shown in FIG. 10B is below the boundary value H1, processing for reducing the saturation amplitude is performed. As a result, the frequency of high saturation decreases after the adjustment compared to before the adjustment, so that the vividness of the color is reduced and expressed. However, if the frequency of high saturation is reduced too much, the color may become too light and become inconspicuous. Therefore, the lower limit of the frequency in the high saturation region due to the decrease in amplitude (the “amplitude reduction boundary value”) The above-mentioned possibility is prevented by providing the value so as not to fall below the boundary value. Regarding the degree of saturation amplitude adjustment, in the hue histogram, if the boundary value Hh is exceeded, the difference from the boundary value Hh to the vertex of the histogram result is used, and if it is below the boundary value Hl, from the boundary value Hl. By using the difference to the top of the histogram result, it is determined how much the amplitude is increased or decreased. As another method for adjusting the amplitude of saturation, in the hue histogram, for the colors that fall within the boundary value Hh and the boundary value Hl, the amplitude is increased or decreased by using the ratio of the distance between the boundary value Hh and the boundary value Hl. There is also a way to decide.

  As described above, in this embodiment, based on the hue histogram shown in FIG. 8 calculated by the microcomputer 5 and the saturation histogram shown in FIG. And the saturation amplitude adjustment can be performed to reduce the saturation amplitude for a color that is not frequently emphasized in the hue histogram. Thus, in addition to the improvement in contrast by gradation expansion by gamma correction of the luminance signal Y by the luminance histogram described in the first embodiment, the color correction of the color difference signals Cb and Cr by the hue / saturation histogram respectively. By setting the optimal saturation for each color, it is possible to prevent the case where the color is too light and the image is blurred or the color becomes too dark and difficult to see. Video can be realized.

1 is a basic configuration diagram of a video processing circuit as a first embodiment of the present invention. Explanatory drawing of the gamma correction using APL and luminance brightness histogram in this invention. Explanatory drawing of the relationship between the gamma curve switching characteristic and APL in this invention. FIG. 4 is an explanatory diagram of a method for determining a feature region when the entire input video signal is high luminance and a result after gradation expansion in the present invention. FIG. 4 is an explanatory diagram of a method for determining a feature region when the entire input video signal in the present invention has low luminance and a result after gradation expansion. Explanatory drawing of the expansion method of the gradation in this invention. The basic block diagram of the video processing circuit as a 2nd Example of this invention. Explanatory drawing of the example of a detection result of the hue histogram in this invention. Explanatory drawing of the example of a detection result of the saturation histogram in this invention. Explanatory drawing of the amplitude adjustment of the saturation in this invention.

  DESCRIPTION OF SYMBOLS 1 Video signal processing circuit, 2 Video signal input terminal, 3 Input matrix conversion part, 4 Luminance feature detection part, 5 Microcomputer, 6 Gamma correction part, 7 Feature emphasis part, 8 Color correction part, 9 Output matrix conversion part, 10 Video signal output terminal, 11 video display unit, 12 luminance / color feature detection unit.

Claims (2)

In the video display device,
A feature detection unit for detecting a hue histogram indicating a frequency distribution for each of a plurality of hues in a predetermined period of the video signal as a feature of the video signal from the input video signal;
A control unit for determining a hue exceeding a predetermined first boundary value from the hue histogram detected by the feature detection unit, and a hue falling below a second boundary value smaller than the first boundary value;
The saturation of the hue determined to exceed the first boundary value by the control unit is increased so as not to exceed the saturation upper limit value, and the saturation of the hue determined to be below the second boundary value is A color correction unit that corrects the video signal so as to decrease so as not to fall below a saturation lower limit ;
A video display device comprising: 2. The video display device according to claim 1, wherein an increase degree of saturation of a hue determined to exceed the first boundary value is a difference between a frequency of the hue exceeding the first boundary value and the first boundary value. And the decrease in the saturation of the hue determined to exceed the second boundary value is determined by the difference between the frequency of the hue below the second boundary value and the second boundary value. A video display device.

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