KR20160046983A - Power consumption control method and apparatus and display device using the same - Google Patents

Abstract

Provided are a method and apparatus for controlling power consumption and a display device using the same, which can reduce power consumption without deterioration of image quality. The present invention relates to a display device which comprises a luminance reduction control unit and a sharpness enhancement unit. The luminance reduction control unit reduces luminance of a pixel as much as the speed of an object moving, and controls the degree of reduction in luminance of the pixel based on an average picture level and gray-scale complexity of an input image. The sharpness enhancement unit enhances sharpness of an edge portion image of the input image when the luminance of the pixel is reduced.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a power consumption control method and apparatus,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a power consumption control method and apparatus for reducing a luminance of a pixel according to an object moving speed of a moving image to reduce power consumption, and a display device using the same.

The flat panel display device includes a liquid crystal display device (LCD), a plasma display panel (PDP), an organic light emitting diode (OLED) display device, And an electrophoretic display device (EPD).

Since the OLED display device is a self-luminous device, it consumes less power and can be made thinner than a liquid crystal display device requiring a backlight. Also, the OLED display device has a wide viewing angle and a high response speed. OLED displays are expanding their market by competing with liquid crystal displays.

The pixels of the OLED display device include organic light emitting diodes (OLEDs), which are self-luminous elements. The OLED includes a hole injection layer (HIL), a hole transport layer (HTL), an emission layer (EML), and an electron transport layer (ETL) between an anode and a cathode. And an electron injection layer (EIL) are laminated on the substrate. An OLED display reproduces an input image by using a phenomenon in which electrons and holes are emitted from an organic layer in a pixel OLED through a current flow in a fluorescent or phosphorescent organic thin film.

OLED display devices can be variously divided according to kinds of light emitting materials, light emitting systems, light emitting structures, driving systems, and the like. The OLED display device is classified into a fluorescent emission and a phosphorescent emission according to a light emission method, and can be divided into a top emission structure and a bottom emission structure according to a light emission structure. In addition, OLED display devices can be divided into PMOLED (Passive Matrix OLED) and AMOLED (Active Matrix OLED) according to the driving method.

Various methods for reducing the power consumption of a display device have been attempted. In particular, technologies are being developed that can reduce power consumption without degrading picture quality. In the case of a moving image to be reproduced on a display device, the observer becomes insensitive to the luminance change as the motion of the image becomes faster. A method of reducing power consumption by controlling the brightness of pixels by analyzing motion of a moving image by comparing forward and backward frames in an input image of a display device can be considered. This method lowers the luminance of the pixel by lowering the peak gain, which controls the peak luminance of the pixel data, from the moving image.

This method requires a frame memory and an algorithm for quantitatively calculating motion since the frame memory must be used to compare before and after frames as shown in FIG. Therefore, this method requires one or more frame memories to be added, which causes a cost increase factor of the display device. In this method, if the luminance of a pixel in a moving picture is lowered, the boundary line becomes unclear as indicated by a red original in the experimental image of FIG. 1, and the entire display image may appear blurred.

The present invention provides a power consumption control method and apparatus capable of lowering power consumption without deterioration of image quality, and a display device using the same.

The display device of the present invention includes an image analysis unit, a brightness attenuation amount control unit, and a sharpness enhancement unit.

The image analyzing unit estimates the motion of the object on the input image based on the edge representative value of the input image, and calculates the average luminance and the tone complexity of the input image.

The luminance attenuation amount control unit lowers the luminance of the pixel as the object moves faster, and adjusts the luminance attenuation amount of the pixel based on the average luminance and the gradation complexity.

The sharpness enhancement unit enhances the sharpness of the boundary image of the input image when the brightness of the pixel is degraded.

The power consumption controller of the present invention includes: an image analyzer for estimating a motion of an object on an input image based on an edge representative value and calculating an average luminance and a gray level complexity of the input image; A luminance attenuation amount controller for lowering the luminance of the pixel as the object moves faster and adjusting the luminance attenuation amount of the pixel based on the average luminance and the gradation complexity; And a sharpness enhancing unit for enhancing the sharpness of the boundary image of the input image when the brightness of the pixel is lowered.

According to another aspect of the present invention, there is provided a power consumption control method comprising: estimating motion of an object in an input image based on edge representative values; calculating an average luminance and a gray level complexity of the input image; Lowering the brightness of the pixel as the object moves faster, and adjusting the luminance attenuation amount of the pixel based on the average luminance and the gradation complexity; And enhancing the sharpness of the boundary image of the input image when the brightness of the pixel is degraded.

The present invention estimates the motion of an object in a moving picture without adding a frame memory, thereby lowering the luminance of a moving picture pixel, adaptively adjusting a luminance attenuation amount of the pixel in consideration of average luminance and gradation complexity, .

FIG. 1 is a diagram illustrating a moving image determination method using a frame memory and a method of reducing a luminance of a pixel based thereon.
2 is a flowchart illustrating a power consumption control method of a display apparatus according to an embodiment of the present invention.
3 is a diagram showing an example in which the image is distorted when the gain of the sharpness filter is excessively high.
4 is a diagram illustrating a motion estimation method using a block-by-block APL comparison.
5 is a diagram illustrating a motion estimation method using a change in edge coordinate per block.
FIG. 6 is a diagram showing various examples of image sizes in which an edge representative value is obtained.
7 is a diagram showing the principle of operation of the sharpness filter.
8 is an experimental result showing the result of compensating the sharpness of the boundary line when the luminance of the pixel is lowered.
9 is a diagram showing an example of a histogram.
10 is a block diagram showing a display device according to an embodiment of the present invention.
11 is a diagram illustrating a power consumption control apparatus according to an embodiment of the present invention.
12 is a view showing a picture quality evaluation system for confirming whether or not the present invention is applied.
13 is a view showing an example of a test image for confirming whether or not an edge representative value is applied.

The present invention judges a moving picture without using a frame memory and lowers the power consumption of a moving picture without feeling a deterioration in the picture quality of a moving picture by using a person's cognitive characteristic. The observer does not perceive the luminance change of the pixel as the motion of the moving image reproduced on the display device is fast and the gray level distribution is complicated. The present invention analyzes a moving picture inputted to a display device with a minimum memory, lowers a luminance of a pixel in a moving picture, and enhances a sharpness of a picture in a deteriorated picture quality when a luminance of the pixel is degraded, Thereby compensating for image quality degradation.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Like reference numerals throughout the specification denote substantially identical components. In the following description, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

2, the power consumption control method of the present invention calculates an edge representative value, a histogram, an average picture level (APL), and the like of an input image (S1 ).

If the edge change indicating the position of the object in the input image can be known, whether or not the object moves and its speed can be known without using the frame memory. In the present invention, an average value of edge coordinates of an input image is calculated for each frame, and the result is used as an edge representative value, and the edge representative value is compared between the previous frame and the next frame. . The edge representative value may be calculated in one screen, that is, in units of one frame, or may be divided into a plurality of blocks, and the number of blocks in one frame may be calculated. The representative value of the edge can be calculated by the center of gravity formula applied to each block.

The histogram represents the cumulative distribution of the number of pixels in the input image. The present invention determines gradation complexity of an input image based on a histogram. The histogram may be calculated in units of one frame or may be calculated in block units by dividing the screen into a plurality of blocks.

The APL is calculated by dividing the luminance sum of the pixels by the number of pixels, and represents the average luminance of one frame image. The APL can be calculated in units of one frame or divided into a plurality of blocks and can be calculated in block units.

In the power consumption control method of the present invention, the brightness attenuation amount and the degree of sharpness adjustment are determined based on the input analysis result (S2).

The peak luminance of the pixel can be controlled by a peak gain (hereinafter referred to as "first gain") multiplied by the pixel data. The first gain has a value between 0 and 1. The present invention adjusts the luminance attenuation amount of the pixel by adjusting the first gain based on the analysis result of the input image. The first gain decreases as the object moves faster in the input image, and lowers the luminance of the pixel. On the other hand, the first gain is closer to 1 as the motion of the object is smaller in the input image, and becomes 1 when there is no motion, so that the amount of luminance reduction of the pixel is decreased or the luminance of the pixel is not decreased.

According to the present invention, the luminance of the pixel is lowered by lowering the first gain as the first gain becomes faster in the input image, and the luminance attenuation amount of the pixel is adaptively adjusted in consideration of the average luminance and the gray level complexity of the input image.

In a dark image, if the luminance of a pixel excessively drops, the observer feels sensitive to the change in luminance. On the other hand, in bright images, the observer is relatively less sensitive to the luminance degradation of the pixels. When the gradation distribution is simple, the observer senses the luminance change of the pixel sensitively, whereas the observer is less sensitive to the luminance degradation of the pixel in the image with complicated gradation distribution. Therefore, according to the present invention, as the APL is higher, the first gain is further lowered to increase the luminance attenuation amount of the pixel, whereas when the APL is lowered, the first gain is increased, thereby minimizing the deterioration of the image quality of the moving image and improving the power consumption. Further, based on the histogram information, the first gain is further lowered and the luminance attenuation of the pixel is increased as the gradation complexity is higher. On the other hand, when the gradation complexity is lowered, the first gain is increased, Increase the improvement effect.

The sharpness of the input image can be adjusted according to the gain of a sharpness filter (hereinafter referred to as "second gain"). The second gain multiplies the neighboring pixel data by different values to enhance the sharpness by enlarging the difference between neighboring pixel data values.

In the present invention, a sharpness filter is applied to compensate for degradation in sharpness that may be seen when a luminance of a pixel is degraded, and a second gain is adjusted based on input image analysis results such as luminance and gradation distribution of an input image. It changes to enemy. If the second gain is excessively high in order to enhance the sharpness in a dark image or a complex gradation image, the image may be unnatural or distorted as shown in FIG.

The second gain should be determined according to the luminance reduction amount determined through the first gain, so that the unnaturalness and distortion due to the enhancement of the sharpness can be minimized. When the first gain is low, the second gain is increased to maintain the sharpness. On the other hand, when the first gain is high, the second gain is lowered to minimize the distortion of the display image. In addition, the second gain can be further increased according to the gradation complexity of the image and the APL value of the image.

The observer easily feels the sharpness enhancement effect if the gradation distribution of the image is complicated, but does not easily feel the sharpness enhancement effect if the gradation distribution is simple. The observer does not easily feel the sharpening enhancement effect when the APL of the image is too high or low, but the sharpness enhancement effect is easily felt when the APL is the middle gradation value. Therefore, if the gradation distribution of the image is complex, the present invention enhances the sharpness by raising the second gain and keeps the second gain as the predetermined reference value when the gradation complexity of the image is low. Also, if the APL is too high or low, the second gain is maintained at the reference value, and in the case of the middle gradation, the second gain is increased to enhance the sharpness. When the second gain thus determined affects the first gain again, the first gain is lowered when the second gain is increased, and the first gain is maintained when the second gain is not changed, thereby maximizing the power consumption reduction effect.

In the power consumption control method of the present invention, the luminance and sharpness of the moving picture are adjusted by the first and second gains determined in step S2 (S3). According to the power consumption control method of the present invention, as the speed of a moving object in a moving image increases, the luminance of the pixel is lowered. Based on the image analysis result, the luminance attenuation amount and sharpness of the pixel are adaptively enhanced so that the power consumption Can be reduced.

As an example of a method of determining motion of a moving picture, a method of calculating a motion vector by comparing a previous frame with a next frame data may be used. However, this method requires a frame memory because two frames of data must be stored in the frame memory.

The present invention estimates the movement amount and speed of an object in a moving picture without a frame memory by calculating a coordinate change of an edge. The edge information can be computed in units of blocks by virtually dividing the screen into a plurality of blocks. Another method of estimating a moving object without using a frame memory is to divide the screen into a plurality of blocks and calculate the APL on a block-by-block basis. Based on the positional change of the block having the same or similar APL, Can be considered. However, this method is more inaccurate than the method of calculating the coordinate change of the edge. This will be described with reference to FIGS. 4 and 5. FIG.

4 is a diagram illustrating a motion estimation method using a block-by-block APL comparison.

Referring to FIG. 4, the screen is virtually divided into a plurality of blocks and an APL is calculated for each block. By comparing the APLs of the previous frame and the current frame for each block, it is possible to estimate the positional change of the moving object by comparing the positions of the blocks having the same or similar APL. However, APL is not accurate as an index for estimating the motion information of an object because it can not accurately express the motion of the object because it shows only the luminance change. It is possible to estimate the motion based on block APL and block APL block position change, but it can not only restrict the motion to block size but also can detect motion because there are many similar blocks in APL.

If the representative value indicating the position of the object in the input image can be known, the movement of the object can be determined relatively accurately based on the change in the representative value.

5 is a diagram illustrating a motion estimation method using a change in edge coordinate per block.

Referring to FIG. 5, the power consumption control method of the present invention divides a screen into a plurality of blocks, calculates an average value of the coordinates of each of the edges in the block as an edge representative value of the block, By comparing frames on a block by block basis, motion information can be obtained without using a frame memory. Through the change of the representative value of the edge, motion of the boundary of the object in the moving picture and its speed can be known. Accordingly, the power consumption control method of the present invention can obtain motion information without adding a frame memory by estimating a moving object in a moving image based on a change in edge representative value.

FIG. 6 is a diagram showing various examples of image sizes in which an edge representative value is obtained.

Referring to FIG. 6, if the edge representative value is calculated on a block basis, the edge representative value must be stored by the number of blocks, so that it is smaller than the frame memory but requires a memory capacity. In FIG. 5, blue is a block to which a motion estimation calculation is applied.

In order to minimize the memory capacity, one edge coordinate value can be obtained as the coordinate average value of each of the edges of the entire screen as shown in the upper left diagram of FIG. 6, the edge representative value may be obtained in one block per two blocks in the blocks divided in the matrix form, or only the edge representative value may be displayed in the blocks arranged in the central portion of the screen, Value can be obtained. In addition, the number of edge representative values can be reduced by appropriately adjusting the block size as shown in the lower right of Fig.

7 is a diagram showing the principle of operation of the sharpness filter.

Referring to FIG. 7, the sharpness filter multiplies the input pixel data by the second gain, so that the upper left matrix value of FIG. 6 represents the pixel data value. The sharpness filter multiplies the pixel data by the second gain value of the 3x3 window as shown in the right side of Fig. 6, modulates the pixel data, and repeats the operation while shifting the window. The second gain value to be multiplied by the central pixel data in the window is the highest and the second gain value of the surrounding pixels is relatively low. In FIG. 7, if the red central pixel data value is 30, the second gain values are multiplied together with the surrounding pixel data values so that the center pixel data value S passing through the sharpness filter is S = (10 x -1) + 24 × -1) + (30 × 5) + (2 × -1) + (2 × -1) = 112.

The present invention adjusts the second gain according to the analysis result of the input image under the condition that the sum of the second gain values in the window is 1, thereby enhancing the sharpness when the luminance of the pixel is lowered. As a result, as shown in FIG. 8, when the luminance of a pixel is lowered, sharpness is enhanced in a portion having a large borderline, and the effect of emphasizing the borderline can be obtained.

9 shows an example of a histogram. 9, the x-axis represents the tone value of the pixel data, and the y-axis represents the number of pixels.

Many boundary lines and complex image parts have a large number of gradations. On the other hand, the image portion having a small boundary line and a similar gradation value has a small number of gradations. Therefore, the complexity of the gradation distribution can be determined by counting the number of gradations in the histogram.

The power consumption control method of the present invention adaptively adjusts the luminance attenuation amount and the degree of sharpness enhancement based on the histogram information so that the luminance of the pixels in the moving picture is lowered and the perceived quality degradation of the observer is small.

10 is a block diagram showing a display device according to an embodiment of the present invention. 11 is a diagram illustrating a power consumption control apparatus according to an embodiment of the present invention.

Referring to Figs. 10 and 11, the display apparatus of the present invention includes a display panel 100, and a display panel driver for displaying pixel data on a pixel array of the display panel 100. Fig. The display panel driver includes a data driver 102, a gate driver 104, a timing controller (TCON) 110, and the like.

A plurality of data lines 11 and a plurality of scan lines (or gate lines) 12 are intersected in the pixel array of the display panel 10. [ The pixel array of the display panel 100 includes pixels arranged in a matrix form to display an input image. Each of the pixels includes an OLED, a switching element, a driving element, a storage capacitor, and the like. The switching element and the driving element can be realized by a TFT (Thin Film Transistor). As shown in FIG. 1, the OLED may include organic compound layers including a hole injection layer (HIL), a hole transport layer (HTL), a light emitting layer (EML), an electron transport layer (ETL), and an electron injection layer (EIL). The switch element applies a data voltage input through the data line to the gate of the driving element in response to the scan pulse from the scan line. The driving device controls the current flowing in the OLED according to the gate voltage. The storage capacitor is connected between the gate and source of the driving element. Each of the pixels may be provided with an internal compensation circuit (not shown) or a sensing circuit for sensing a characteristic change of the driving element. The internal compensation circuit is a circuit that compensates for the threshold voltage and mobility variation of the driving element.

The data driver 102 converts the pixel data input from the timing controller 110 into an analog gamma compensation voltage to generate a data voltage and outputs the data voltage to the data lines 11. [ The pixel data input to the data driver 102 is digital video data of the input video.

The gate driver 104 supplies the scan lines 12 with a scan pulse (or gate pulse) synchronized with the output voltage of the data driver 102 under the control of the timing controller 110. The gate driver 104 sequentially shifts the scan pulses to sequentially select pixels to which data is written, in units of lines.

The timing controller 110 adjusts the first and second gains adaptively using the power consumption control device as shown in FIG. 11 to lower the luminance of the pixel data in the moving image and adjust the luminance attenuation amount and the sharpness. The power consumption control device may be incorporated in the timing controller 110 or may be implemented as a separate module so as to be connected to the timing controller 110. The pixel data modulated by the timing controller 110 is transmitted to the data driver 102. The timing controller 110 controls the operation timings of the data driver 102 and the gate driver 104 based on the timing signals input in synchronization with the pixel data of the input image. The timing signals include a vertical synchronization signal Vsync, a horizontal synchronization signal Hsync, a clock signal CLK, a data enable signal DE, and the like.

The power consumption control device lowers the brightness of the pixel data in the moving picture and adjusts the sharpness by using the power consumption control method described with reference to Figs. 2 to 10.

The power consumption control apparatus includes an image analysis unit 10, a luminance attenuation amount control unit 20, and a sharpness enhancement unit 30. [ The image analyzing unit 10 extracts edge information of an input image, calculates an edge representative value of an edge coordinate value, estimates an object motion in the input image, and calculates an average luminance (APL) and a gradation complexity (histogram) . Since the image analyzing unit 10 estimates the motion based on the edge representative value, it needs only a minimum memory capacity and can be implemented without a frame memory.

The luminance attenuation amount controller 20 lowers the luminance of the pixel as the object moves faster in the input image using the first gain alpha and adaptively adjusts the first gain alpha based on the average luminance and the gray level complexity Thereby adjusting the luminance attenuation amount of the pixel. The average luminance can be calculated as APL. The gradation complexity can be calculated as a histogram. The luminance attenuation amount controller 20 lowers the first gain? As the average luminance is higher, but increases the first gain? When the average luminance is lower. The luminance attenuation amount control unit 20 lowers the first gain? As the gradation complexity is higher, but increases the first gain? When the gradation complexity is lower. The brightness attenuation amount control unit 20 adjusts the first gain? Again when the second gain? Changes. For example, the brightness attenuation amount control unit 20 further reduces the first gain? As the second gain? Increases.

The sharpness enhancement unit 30 enhances the sharpness of the boundary image of the input image when the luminance of the pixel is lowered by using the second gain (beta) of the sharpness filter, and based on the average luminance and grayscale complexity of the input image, ([beta]) is adjusted adaptively to adjust the sharpness enhancement amount according to the brightness and complexity of the image. The pixel data may be multiplied by the second gain beta after the first gain alpha is multiplied, and then transmitted to the data driver 102. [ The sharpness enhancement unit 30 increases the second gain? If the average luminance is the luminance of the middle gradation value. The sharpness enhancement unit 30 increases the second gain beta when the gradation complexity is high and maintains the second gain beta as the reference value when the gradation complexity is low.

The timing controller 110 can receive pixel data and timing signals of an input image from a host system (not shown). The host system may be implemented by any one of a TV system, a set-top box, a navigation system, a DVD player, a Blu-ray player, a personal computer (PC), a home theater system, and a phone system.

The power consumption control method of the present invention can be confirmed through the image quality evaluation system as shown in Fig.

12, the image quality evaluation system includes a computer 200 and a luminance meter 210 connected to the computer 200. [

The luminance meter 210 is directed to the pixels of the display panel 100. The luminance of the pixel measured by the luminance meter 210 is transmitted to the computer 200. The computer 200 transmits a pre-stored test video signal to the display device and measures the brightness of the pixels received from the brightness meter 210. The test video signal includes a first test image with an object moving and edge information, and a second test image to check whether an edge representative value is applied. The second test image is an image in which the coordinates of the edge information are changed but the representative value of the edge does not change in the block. 13 is an example of a second test image.

The computer 200 measures the luminance of a pixel when the first test image is input to the display device, and determines whether the luminance of the pixel varies with the speed of the object. Then, the computer inputs the second test image to the display device, analyzes the digital data input to the data driver 13, and calculates edge representative values for each block. The second test image is an image in which the edge representative value is unchanged because the center of gravity is the same in the block even though the edge is changed as shown in FIG. If the edge representative value for each block is calculated for the second test image data input to the data driver 13, it can be confirmed whether the method is to acquire motion information based on the edge representative value.

It is difficult to measure the gain of the sharpness filter with respect to the first and second test images displayed on the display device but the application of the sharpness filter can be confirmed based on the visual evaluation of the first and second test images displayed on the display panel .

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. Therefore, the technical scope of the present invention should not be limited to the contents described in the detailed description of the specification, but should be defined by the claims.

10: image analysis unit 20: luminance attenuation amount control unit
30: sharpness enhancing part 100: display panel
102: Data driver 104: Gate driver
110: Timing controller

Claims (14)

An image analyzer for estimating a motion of an object on the input image based on an edge representative value of the input image and calculating an average luminance and a gray level complexity of the input image;
A luminance attenuation amount controller for lowering the luminance of the pixel as the object moves faster and adjusting the luminance attenuation amount of the pixel based on the average luminance and the gradation complexity; And
And a sharpness enhancing unit for enhancing the sharpness of the boundary image of the input image when the luminance of the pixel is lowered. The method according to claim 1,
Wherein the brightness attenuation amount control unit comprises:
Wherein the representative value of the edge is determined by dividing the screen into a plurality of blocks, extracting the edge on a block-by-block basis, and comparing edge representative values on a block-by-block basis between a previous frame and a next frame. The method according to claim 1,
Wherein the brightness attenuation amount control unit comprises:
Wherein the pixel data of the input image is multiplied by a first gain that becomes lower as the object moves faster, thereby lowering the luminance of the pixel in the moving image. The method of claim 3,
Wherein the brightness attenuation amount control unit comprises:
The first gain is lowered as the average luminance is higher, while the first gain is increased when the average luminance is lowered,
Wherein the first gain is lowered as the gradation complexity is higher, and the first gain is lowered when the gradation complexity is lower. 5. The method of claim 4,
Wherein the sharpness emphasis unit comprises:
Multiplying the pixel data multiplied by the first gain by a second gain to enhance the sharpness of the pixel data,
The second gain is increased if the average luminance is the luminance of the middle gradation value,
Wherein the second gain is increased when the gradation complexity is high and the second gain is maintained at a preset reference value when the gradation complexity is low. 6. The method of claim 5,
Wherein the brightness attenuation amount control unit comprises:
And adjusts the first gain to be low when the second gain is high. An image analyzer for estimating a motion of an object on the input image based on the edge representative value and calculating an average luminance and a gray level complexity of the input image;
A luminance attenuation amount controller for lowering the luminance of the pixel as the object moves faster and adjusting the luminance attenuation amount of the pixel based on the average luminance and the gradation complexity; And
And a sharpness enhancing unit for enhancing the sharpness of the boundary image of the input image when the brightness of the pixel is lowered. 8. The method of claim 7,
Wherein the brightness attenuation amount control unit comprises:
Wherein the representative value of the edge is determined by dividing a screen into a plurality of blocks, extracting the edge for each block, and comparing the edge representative values for each block between a previous frame and a next frame. 8. The method of claim 7,
Wherein the brightness attenuation amount control unit comprises:
Wherein the pixel data of the input image is multiplied by a first gain which is lowered as the movement of the object becomes faster, thereby lowering the luminance of the pixel in the moving image. 10. The method of claim 9,
Wherein the brightness attenuation amount control unit comprises:
The first gain is lowered as the average luminance is higher, while the first gain is increased when the average luminance is lowered,
Wherein the first gain is lowered as the gradation complexity is higher, whereas the first gain is increased when the gradation complexity is lowered. 11. The method of claim 10,
Wherein the sharpness emphasis unit comprises:
Multiplying the pixel data multiplied by the first gain by a second gain to enhance the sharpness of the pixel data,
The second gain is increased if the average luminance is the luminance of the middle gradation value,
Wherein the second gain is increased when the gradation complexity is high and the second gain is maintained at a preset reference value when the gradation complexity is low. 12. The method of claim 11,
Wherein the brightness attenuation amount control unit comprises:
And adjusts the first gain to be low when the second gain is high. 13. The method according to any one of claims 7 to 12,
The power consumption control device includes:
A power consumption control device of a display device incorporated in a timing controller for controlling a display panel drive section. Estimating a motion of an object in the input image based on the edge representative value, and calculating an average luminance and a gradation complexity of the input image;
Lowering the brightness of the pixel as the object moves faster, and adjusting the luminance attenuation amount of the pixel based on the average luminance and the gradation complexity; And
And enhancing the sharpness of the boundary image of the input image when the brightness of the pixel is lowered.

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