KR20070114511A - Image simulator apparatus for liquid crystal display and method thereof - Google Patents

Abstract

An image simulation apparatus for an LCD and a method thereof are provided to estimate and analyze how an image which an observer views is changed through simulation to simulate the characteristic of the image and check the characteristic of the image on a monitor without manufacturing the LCD. An image simulation apparatus for an LCD(Liquid Crystal Display)(100) includes a first TV curve calculator(110), a reference TV curve calculator(120), a reference gradation value detector(130), a second TV curve calculator(150), an actual TV curve calculator(160), an actual TV curve converter(170), and a comparative output unit(190). The first TV curve calculator separately calculates a first TV curve indicating a transmission rate according to an applied voltage by each of RGB(Red, Green, Blue) for reference image data. The reference TV curve calculator calculates a reference TV curve normalized on the basis of a peak value by each of RGB in the first TV curve. The reference gradation value detector converts the reference TV curve into gradation data to detect a reference gradation value separately according to the applied voltage by each of RGB. The actual TV curve calculator calculates an actual TV curve by normalizing a second TV curve on the basis of the first TV curve. The comparative output unit checks an actual gradation value by matching the TV curve converted in the actual TV curve converter and a TV curve converted in the reference gradation value calculator and outputs output image data on the basis of the actual gradation value.

Description

Image simulator apparatus for liquid crystal display and method thereof

1 is a graph illustrating transmittance characteristics according to an applied voltage of a general liquid crystal display.

2 is a graph illustrating transmittance characteristics according to a viewing angle of an observer in a general liquid crystal display.

3 is a conceptual diagram illustrating an image simulation for a liquid crystal display according to the present invention.

4 is a block diagram illustrating an image simulation apparatus for a liquid crystal display according to an exemplary embodiment of the present invention.

5 to 12 are diagrams illustrating graphs and images implemented by the image simulation apparatus of FIG. 4 by configuration.

FIG. 13 is a photograph illustrating a result of simulating an image transmittance along an observer's viewing angle direction. FIG.

14 is a flowchart illustrating an image simulation method for a liquid crystal display according to an exemplary embodiment of the present invention.

15 and 16 are detailed views of the method shown in FIG. 14.

FIG. 17 is an input screen illustrating an example of a method of inputting variable information illustrated in FIG. 14.

(Explanation of symbols for the main parts of the drawing)

100: image simulation device

110: first TV curve calculation unit

120: reference TV curve calculation unit

130: reference gray level detection unit

140,180: First and second database

150: second TV curve calculation unit

160: the actual TV curve calculation unit

170: the actual TV curve conversion unit

The present invention relates to a liquid crystal display device, and more particularly, to an image simulation apparatus and method for a liquid crystal display device for simulating and analyzing an image according to a viewing angle or an external characteristic of an observer observing a screen of a liquid crystal display device. It is about.

In recent years, with the rapid progress of the multimedia industry, the demand for lightweight thin information display devices is increasing.

In particular, a liquid crystal display using a thin film transistor exhibits characteristics that are comparable to conventional CRTs in terms of resolution, contrast, color reproducibility, viewing angle, visibility, and response speed. It is used in various indicators.

Moreover, the advent of the digital broadcasting era and the popularization of mobile communication devices have further stimulated the market for liquid crystal displays, and have characteristics of ultra-thin, light weight, and low power consumption due to the characteristics of the liquid crystal display, and are mainly used for devices requiring portability. It is used.

1 is a graph illustrating transmittance characteristics according to an applied voltage of a general liquid crystal display, and FIG. 2 is a graph illustrating transmittance characteristics according to a viewing angle of an observer in a typical liquid crystal display.

In general, since the liquid crystal display device transmits light, contrast, and color reproducibility depending on a voltage applied to implement a specific image (hereinafter referred to as an applied voltage) and switching characteristics of the liquid crystal over time, It is important to accurately analyze the distribution of the liquid crystal alignment with the applied voltage and time. Therefore, in the related art, an experiment or computer simulation was performed to analyze the characteristics of the liquid crystal.

Referring to FIG. 1, an example of transmission characteristics of a liquid crystal display is illustrated through computer simulation.

Each curve shown in FIG. 1 represents a degree of transmittance (hereinafter, referred to as a “TV curve”) relative to an applied voltage for each of red (R), green (G), and blue (B) wavelengths. Since the device is designed by optimizing the green wavelength in the 550 nm band, as shown, the green (G) wavelength shows higher transmittance than the red (R) and blue (B) wavelengths. However, it is not limited to this characteristic.

Next, referring to FIG. 2, the results of image simulation of the liquid crystal display having the transmission characteristics shown in FIG. 1 according to the viewing angle direction of the observer will be described.

When the viewing angle direction of the observer is located at the front center of the liquid crystal display device, the red (R), green (G), and blue (B) wavelengths of the image all have maximum transmittances. Therefore, it can be said that the luminance and contrast ratio (CR) of the image felt by the observer's eye is the highest.

In contrast, when the viewing angle direction of the observer is located in the side direction away from the front center, the transmittance of the red (R), green (G) and blue (B) wavelengths of the image gradually decreases toward the side. The brightness and contrast ratio (CR) of the visible image is lowered toward the side, and thus the image quality is deteriorated.

As described above, even though the display screen is fixed in the related art, the transmittance of the image perceived by the observer's eye varies according to the viewing angle direction, and thus the luminance and contrast ratio (CR) of the screen are different, and the screen is severely different. Looks different.

However, the image simulation of the conventional liquid crystal display device is directly manufactured since the liquid crystal display device is manufactured and commercialized, and then the applied voltage versus transmittance characteristics are simulated, and the characteristics of the luminance and the contrast ratio are inferred based on the simulated results. Without making them, there is a problem in that it is impossible to detect characteristics that appear as the liquid crystal display is viewed from various directions.

In addition, the image simulation of the conventional liquid crystal display device simulates the transmittance of each of the red (R), green (G), and blue (B) wavelengths, and only infers the brightness and contrast ratio of the image. With this change or by various other conditions it is impossible to predict how the actual image will look to the observer's eye.

Patent application No. 2004-08866 discloses a simulation method for predicting which color characteristics, luminance characteristics, or contrast characteristics for an output image according to a viewing angle of an observer of a liquid crystal panel.

This conventional technology performs a visual conversion process on the basis of the viewing angle of the observer viewing the liquid crystal panel for the image to be output, and converts the image into an image considering the perspective through the projection. Only the perspective of the field of view is considered.

The prior art also has a problem in that it is impossible to predict how the actual image looks different to the observer's eye depending on various conditions such as external light conditions, response speed, and backlight brightness of the liquid crystal display device in addition to the viewing angle direction of the observer.

Accordingly, the technical problem to be achieved by the present invention is an image simulation apparatus for a liquid crystal display device and a simulation that can simulate and analyze the image characteristics observed in various directions of the liquid crystal display device before directly manufacturing the liquid crystal display device and its To provide a way.

Another technical problem to be solved by the present invention is to simulate and analyze image characteristics according to various conditions such as response speed, backlight brightness, and external light conditions of the liquid crystal display as well as image characteristics according to observing the liquid crystal display in various directions. It is an object of the present invention to provide an image simulation apparatus for a liquid crystal display and a method thereof.

Further technical problems to be achieved by the present invention are not limited to the above-mentioned technical problems, and other technical problems not mentioned above are clearly understood by those skilled in the art from the following description. It can be understood.

According to another aspect of the present invention, there is provided an image simulation apparatus for a liquid crystal display device, including: a first TV curve calculating unit configured to calculate first TV curves representing transmittances according to an applied voltage for RGB with respect to reference image data; A reference TV curve calculating unit for calculating a reference TV curve normalized based on peak values of RGB in each first TV curve, and converting the reference TV curve into grayscale data to convert a reference gray value according to the applied voltage for each RGB A reference gradation value detector for detecting each other; a second TV curve calculator configured to calculate a second TV curve for each RGB signal according to input of at least one of variable information with respect to the reference image data; An actual TV curve calculating unit which normalizes the first TV curve calculated by the TV curve calculating unit to calculate an actual TV curve, and the actual TV curves A real TV curve conversion unit for converting to and a TV curve converted by the real TV curve conversion unit and a TV curve converted by the reference gray scale value calculating unit And a comparison output unit configured to output output image data based on the actual gray value.

In this case, the reference grayscale value detected by the reference grayscale value detector further includes a first database for storing the table according to the applied voltage for each RGB.

The apparatus may further include a second database that stores the actual gradation values in a table according to the applied voltage for each RGB.

The variable information may be a viewer's viewing angle information, the observer's azimuth information, response speed information, backlight brightness information, monitor characteristic information, external light information, or gamma characteristic information.

On the other hand, the image simulation method for a liquid crystal display according to the present invention for achieving another technical problem, (a) input the reference image data, (b) red (R), green (G) for the reference image data ), Performing image simulation for each blue (B) wavelength, and (c) look-up table of the simulation results according to applied voltages for red (R), green (G), and blue (B) wavelengths. creating a table), (d) inputting at least one of the variable information for the reference image data, (e) performing an image simulation according to the input variable information, and (f) performing the simulation Comparing the result with the look-up table to detect an actual RGB value for each RGB changed for the same applied voltage, and (g) outputting output image data based on the changed RGB-specific actual grayscale value do.

In this case, step (b) calculates a first TV curve representing transmittance to applied voltage for each of red (R), green (G), and blue (B) wavelengths with respect to the reference image data. (b-2) normalizing each of the first TV curves based on a peak value and converting the grayscale data into (b-3) the red (R), green (G), and blue colors; (B) detecting a reference gray value according to the applied voltage for each wavelength.

The step (d) is a step of selectively inputting at least one or more of the viewer's viewing angle information, the viewer's azimuth information, response speed information, backlight brightness information, monitor characteristic information, external light information, or gamma characteristic information. It features.

In the step (e), (e-1) calculating second TV curves showing transmittances to applied voltages for red (R), green (G), and blue (B) wavelengths according to the input parameter information, respectively; And (e-2) normalizing each second TV curve based on the first TV curve and converting the second TV curves into grayscale data.

The step (f) stores the actual gradation values for the red (R), green (G), and blue (B) wavelengths according to the applied voltages for the red (R), green (G), and blue (B) wavelengths. The method further includes creating a look-up table.

Specific details of other embodiments are included in the detailed description and the drawings. Advantages and features of the present invention and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. Like reference numerals refer to like elements throughout.

Hereinafter, an image simulation apparatus for a liquid crystal display according to an exemplary embodiment of the present invention will be described in detail with reference to the accompanying drawings.

3 is a conceptual diagram illustrating an image simulation for a liquid crystal display according to the present invention.

As shown, image simulation for the liquid crystal display according to the present invention calculates electrical and optical characteristics of the liquid crystal display through numerical analysis, and finally predicts the image characteristics felt by the observer's eyes. It is a simulation.

In other words, by performing image simulation (2) according to various parameter conditions on the input image (1), and outputting the output image (3) as a result, the image characteristics of the degree of deformation from the input image (1) Analyze

The input image 1 is image data of a predetermined image, and becomes reference image data with respect to the output image 3.

The output image 3 is the result of performing the image simulation 2 according to various parameter conditions, and becomes the final image seen by the observer's eye. It can be seen that the output image 3 is deformed in various forms according to the variable conditions.

In addition, the various variable conditions herein refer to a variation factor in which an image seen by an observer's eye looks different from the input image 1 when the observer observes the input image 1, for example. The viewing angle direction of the observer, the azimuth angle of the three-dimensional observer, the response speed of the liquid crystal display, the brightness of the backlight, monitor characteristics, external light conditions, and the like.

Therefore, the image simulation method and apparatus for a liquid crystal display according to the present invention do not commercialize an actual liquid crystal display by simulating and analyzing how the image felt by the observer varies according to other variable conditions based on a given image. Predictions can be made on the monitor.

4 is a block diagram illustrating an image simulation apparatus for a liquid crystal display according to an exemplary embodiment of the present invention, and FIGS. 5 to 12 illustrate graphs and images implemented by the image simulation apparatus of FIG. 4 by configuration. 13 are photographs showing simulation results of image transmittance according to a viewer's viewing angle direction.

First, referring to FIG. 4, an image simulation apparatus 100 for a liquid crystal display according to an exemplary embodiment may include a first TV curve calculator 110, a reference TV curve calculator 120, and a reference gray value detector ( 130, the first database (DB) 140, the second TV curve calculation unit 150, the actual TV curve calculation unit 160, the actual TV curve conversion unit 170, the second database (DB) 180 And a comparison output unit 190.

Here, in describing the image simulation apparatus 100 for a liquid crystal display device according to an exemplary embodiment of the present disclosure, for the convenience and understanding of the description, the transmission of an image according to the viewing angle direction of the viewer will be described with reference to FIGS. 5 to 11. Only the characteristics will be described by way of example.

The first TV curve calculating unit 110 receives the reference image data through the input module, and transmittance according to the applied voltage for each of red (R), green (G), and blue (B) wavelengths with respect to the input reference image data ( Hereinafter, referred to as "first TV curve").

For example, as shown in FIG. 5, when an observer observes a given image from the center (zero viewing angle), computer simulation of the transmission characteristics of the image shows red (R) and green (G) as shown in the graph on the right. ), The first TV curves are implemented for each blue (B) wavelength.

In this case, the predetermined image becomes reference image data, and the first TV curves of the predetermined image represent transmission characteristics of the image that vary depending on the viewing angle direction of the viewer.

As shown in FIG. 6, the reference TV curve calculating unit 120 includes red, green, and blue colors in the first TV curve calculated from the first TV curve calculating unit 110. The reference TV curve is calculated by normalizing the peak value of the wavelength.

This reference TV curve is intended to facilitate the conversion of the grayscale data to grasp the characteristics of the image below.

The reference gray scale detection unit 130 converts the reference TV curve calculated by the reference TV curve calculating unit 120 into gray scale data, and applies the red, green, and blue wavelengths to the converted TV curve. Each of the reference gray scale values according to the voltage is detected.

As shown in FIG. 7, assuming that red (R), green (G), and blue (B) color data are information having a value of 0 to 255, each reference TV curve is multiplied by 255 in accordance with the 255 gradation table. The graph curve shown can be implemented by converting it into data.

In this graph curve, the reference gray scale values R1, G1, and B1 corresponding to the specific applied voltages VR, VG, and VB applied to the red (R), green (G), and blue (B) wavelengths are respectively detected. .

Therefore, the image characteristic of the reference image data can be confirmed by detecting the reference gray scale values R1, G1, and B1 when the reference image data is observed from the center.

Referring back to FIG. 4, the first database 140 stores the reference gray values R1, G1, B1 and the corresponding applied voltages VR, VG, and VB detected by the reference gray value detector 130. Create a look-up table based on the data and save it.

The created look-up table becomes data data for searching for applied voltages of red (R), green (G), and blue (B) wavelengths, and corresponding gray values, with respect to the reference image data.

The second TV curve calculating unit 150 receives at least one of various variable information through an input module and performs simulation according to the input variable information, thereby causing red (R), green (G), and blue (B). The second TV curve for each wavelength is calculated.

For example, as shown in FIG. 8, a case in which the viewing angle direction of the observer is changed to 40 degrees with respect to a predetermined image will be described.

As a result of the simulation, a corresponding value of 40 degrees is input in the viewing angle direction (θ) input field of the observer as the parameter information, and second TV curves as shown in the graph on the left are displayed.

Here, the second TV curve shows the transmission characteristics of the image changed as the viewer's viewing angle direction is changed.

That is, the second TV curve has a very high transmittance of red (R), green (G), and blue (B) wavelengths compared to the first TV curve (see FIG. 5) when the viewer views it from the center (viewing angle of 0 degrees). It appears low, and in this case it can be seen that the characteristics of the image felt by the observer's eyes have changed.

The actual TV curve calculating unit 160 functions to normalize the second TV curve calculated by the second TV curve calculating unit 150 to tone data, and the reference TV curve calculating unit 120 The first TV curve calculated by the first TV curve calculation unit 110 without normalizing the peak values of the red (R), green (G), and blue (B) wavelengths as shown in FIG. Normalize with reference to FIG. 5).

The normalized TV curve is called an actual TV curve for convenience of description, and the actual TV curve is shown in FIG. 9.

The actual TV curve converting unit 170 calculates the gray level value changed according to a specific applied voltage for each of red (R), green (G), and blue (B) wavelengths. It converts TV curves into grayscale data.

That is, as shown in FIG. 10, assuming that the red (R), green (G), and blue (B) color data have a value of 0 to 255, each real TV curve is multiplied by 255 according to the 255 gradation table. Convert to data. The converted graph curve has different actual gradation values according to the applied voltages of red (R), green (G), and blue (B) colors.

Here, the actual gray scale value is stored in the second database 180 after creating a look-up table for each applied voltage corresponding thereto.

As shown in FIG. 11, the comparison output unit 190 matches the TV curve converted by the actual TV curve converter 170 and the TV curve converted by the reference gray value detector 130, and then the reference gray value detector. The reference grayscale values R1, G1, B1 and the actual grayscale values R2, G2, and B2 are compared and detected according to the same applied voltages VR, VG, and VB applied in the TV curve of 130. The output image data is transmitted to the output module to display the output image data based on the actual gradation values R2, G2, and B2.

The reason for comparing and analyzing the reference gray values R1, G1, B1 and the actual gray values R2, G2, B2 according to the same applied voltage VR, VG, VB is specific even if the viewing angle direction of the observer is different. This is because the applied voltage applied to the image is the same regardless of the viewing angle direction of the observer.

Accordingly, the actual grayscale values R2, G2, and B2 according to the applied voltages of the red (R), green (G), and blue (B) wavelengths are checked through the comparison output unit 190, and the reference grayscale values (R1, Compared to G1, B1), the degree of deformation may be analyzed, and the characteristics of the output image may be confirmed on the monitor based on the actual gray values R2, G2, and B2. The output image is as shown in FIG.

In addition, when the viewing angle direction is changed to 20 degrees, 60 degrees as shown in Figure 13, the farther away from the center of the image is smaller in size, unlike the image observed in the center of the eye The image felt is blurred. Severely the brightness and contrast ratio (CR) of the image is significantly low, it can be seen that the image looks deformed.

The image simulation apparatus 110 of the liquid crystal display according to the exemplary embodiment of the present invention configured as described above has a degree of transmittance (first TV) when an observer observes the given reference image data at the center (zero viewing angle). Curve) and calculates it by red (R), green (G), and blue (B) wavelengths and converts it into grayscale data, and then looks up the table according to the applied voltage so that the converted reference grayscale value can be used as data reference data. Create a look-up table. When the viewing angle direction of the observer is different with respect to the reference image, the transmittance degree (second TV curve) according to the applied voltages for each of the red (R), green (G), and blue (B) wavelengths is calculated as grayscale data. After the conversion, the output image data, which is changed with respect to the reference image data, is output by matching the data data to detect the actual gray value according to the same applied voltage.

Therefore, if the TV curves of red (R), green (G), and blue (B) wavelengths change as the viewing angle direction of the observer changes with respect to the reference image, it is possible to simulate and predict how the image seen by the actual observer looks. Can be.

The variable information may include at least one of azimuth angle of the observer's field of view, response speed information of the liquid crystal display, brightness information of the backlight, monitor characteristic information, external light characteristic information, gamma characteristic information, and the like, in addition to the viewing angle direction of the observer. One or more may be entered.

Among these, the external light characteristic information has a brightness that is different from the liquid crystal display according to a natural external environment (day and night) or an artificial external environment (indoor / outdoor lighting), and accordingly, an image that an observer feels may look different. Considered.

Such external light characteristic information may be known as surface reflection characteristics.

In other words, the video image displayed on the liquid crystal display generally looks sharper as the contrast ratio is higher. However, surface reflection may vary according to external light characteristics so that the image may not be clearly seen. Therefore, image characteristics may vary according to the degree of surface reflection according to external light conditions.

When the simulation is performed according to the external light characteristic information as described above, a sensor capable of detecting indoor / outdoor brightness may be separately added.

The monitor characteristic information is information corresponding to the system characteristics of the monitor such as the size, brightness, and resolution of each monitor, and the TV curve of the video image may vary according to the state in which the monitor is manufactured.

The gamma characteristic information is information representing the degree to which the output data varies with respect to the input data when converting the input data from the light signal to the electrical signal or the electrical signal to the light signal in performing the image simulation. Image simulation can be performed to achieve a brightness similar to.

Typically, a monitor including a liquid crystal display device does not show output data corresponding to the input data 1: 1. In other words, if the gradation data of (127, 127, 127) is input to the red (R), green (G), and blue (B) images, the brightness of the phosphor of the actual monitor does not become (127, 127, 127) but appears 10 to 40 or more apart. .

That is, the output data is proportional to the gamma (gamma) characteristic not proportional to the input data.

Therefore, in performing the image simulation, since the data of the video image is gamma (gamma) state, in order to link it with the brightness characteristics of the liquid crystal display, a method of converting the original brightness data into the panel is actually made. Perform image simulation to achieve a brightness similar to.

To this end, before calculating the TV curve based on the reference image data, the first reference image data is converted into luminance data converted into light amount by performing a de-gamma processor, and after performing a series of image simulations described above, A method of gamma processing the obtained luminance data again and adding a method of storing the output image data. In this case, when the gamma processor and the de-gamma processor are processed, the gamma may be set as a variable so that the user may change a similar value.

Hereinafter, an image simulation method for a liquid crystal display according to an exemplary embodiment of the present invention will be described in detail.

14 is a flowchart illustrating an image simulation method of a liquid crystal display according to an exemplary embodiment of the present invention. FIGS. 15 and 16 are detailed views of the method illustrated in FIG. 14, and FIG. 17 is illustrated in FIG. 14. It is an input screen showing an example of a method of inputting the variable information.

First, referring to FIG. 14, as first step S100, reference image data for a specific image is input.

Next, in step S110, an image is simulated with respect to the input reference image data, which step includes the steps as shown in FIG. 15 in detail.

That is, in step S111, a computer simulation is performed on the input reference image data to calculate a degree of transmittance (first TV curve) according to applied voltages for each of red (R), green (G), and blue (B) wavelengths. .

Next, in step S113, each peak value is normalized based on the calculated first TV curve, and then converted into grayscale data.

If it is assumed that the red, green, and blue colors of the image have information values of 0 to 255, the normalized first TV curve is multiplied by 255 and converted into gradation data according to the 255 gradation table. do.

Finally, in step S115, a reference gray level value corresponding to the applied voltages of red (R), green (G), and blue (B) wavelengths is detected on the first TV curve converted into grayscale data, and then returned.

Referring to FIG. 14 again, in the next step S120, the look-up table is looked up according to the applied voltages for each of red, green, and blue wavelengths. -up table) and save it.

The look-up table prepared as described above becomes reference data data of a TV curve which varies according to variable information in the following step.

Next, in step S130, at least one of the variable information is input with respect to the reference image data so as to simulate how the image felt by the observer's eye varies according to the variable information.

Here, the variable information is a variation factor that makes the reference image data feel differently to the observer's eye due to external environmental factors or internal factors of the system. For example, as shown in FIG. 16, the viewing angle? Information, the azimuth angle (φ) information of the observer according to the coordinates, the width (W) of the image, the backlight (B / L) luminance value (R), the response speed (A), the characteristics of the monitor, external light characteristics, gamma characteristics, and the like.

The input of such variable information may be selectively performed in the input box shown in FIG. 16.

In operation S140, image simulation is performed on reference image data based on the input variable information.

This step S140 goes through the steps as shown in FIG. 17 in detail.

That is, in operation S141, computer simulation is performed on the inputted variable information to calculate the degree of transmittance (second TV curve) according to the applied voltages for the red (R), green (G), and blue (B) wavelengths.

Next, in step S143, the calculated second TV curve is normalized and converted into grayscale data. In this case, the peaks of the red (R), green (G), and blue (B) wavelengths are not normalized, but normalized based on the first TV curve with respect to the reference image data. do.

When converting the grayscale data, the grayscale data in step S113 is matched to simulate the same method as in step S110 described above.

If it is assumed that the red, green, and blue colors of the image have 0 to 255 information values as in step S113, 255 is applied to the normalized second TV curve according to the 255 gray scale. Multiply and convert to grayscale data.

Finally, in step S145, based on the second TV curve converted into grayscale data, the actual grayscale value for each of the red (R), green (G), and blue (B) wavelengths is stored and returned.

Referring back to FIG. 14, in operation S150, the result of performing image simulation is compared with a look-up table for reference image data to detect an actual gray value according to an applied voltage of the reference image data.

The reason for detecting the actual gray scale value corresponding to the applied voltage applied to the reference image data is that the applied voltage applied to the same image is the same regardless of the variable information even if the variable information is different in the viewing angle direction of the observer.

Subsequently, the actual grayscale values for each of the red (R), green (G), and blue (B) wavelengths are stored according to the applied voltage corresponding thereto, and a look-up table is prepared.

Finally, in step S160, the output image data according to the variable information is output based on the detected actual gray value.

Although embodiments of the present invention have been described above with reference to the accompanying drawings, those skilled in the art to which the present invention pertains may implement the present invention in other specific forms without changing the technical spirit or essential features thereof. I can understand that.

Therefore, since the embodiments described above are provided to completely inform the scope of the invention to those skilled in the art, it should be understood that they are exemplary in all respects and not limited. The invention is only defined by the scope of the claims.

The image simulation apparatus and the method for a liquid crystal display according to an embodiment of the present invention made as described above, red (R), green according to the change of the viewing angle direction of the observer with respect to the reference image or other various variable conditions (G) and blue (B) When the TV curve for each wavelength is different, there is an effect that can simulate and predict how to simulate the actual image of the observer's eyes.

Accordingly, in the case of the liquid crystal display device, the characteristics of the image can be simulated and confirmed on the monitor without commercializing the liquid crystal display device as in the prior art.

Furthermore, not only the viewing angle direction of the observer, but also the azimuth angle of the observer, the luminance level of the backlight (B / L), the response speed of the liquid crystal display, the characteristics of the monitor, the external light characteristics, and the like can be considered, thereby realizing more realistic images. Characteristic analysis is possible.

Claims (9)

A first TV curve calculator configured to calculate first TV curves representing transmittances of reference image data according to an applied voltage for each RGB; A reference TV curve calculating unit for calculating a reference TV curve normalized based on peak values of RGB in each of the first TV curves; A reference gradation value detector for converting the reference TV curve into gradation data and detecting a reference gradation value according to the applied voltage for each RGB; A second TV curve calculator configured to calculate a second TV curve for each RGB as at least one of variable information is input to the reference image data; An actual TV curve calculator configured to normalize the second TV curve based on the first TV curve calculated by the first TV curve calculator to calculate an actual TV curve; An actual TV curve converting unit converting the actual TV curve into grayscale data; And Matching the TV curve converted by the actual TV curve converting unit and the TV curve converted by the reference gradation value calculating unit to check the actual gradation value according to the same applied voltage for each RGB, and output image based on the actual gradation value An image simulation apparatus for a liquid crystal display device comprising a comparison output unit for outputting data. The method of claim 1, And a first database for storing the reference gray scale values detected by the reference gray scale detector in a table according to the applied voltage for each RGB. The method of claim 1, And a second database for storing the actual gradation values in a table according to the applied voltage for each RGB. The method of claim 1, And the variable information is an observer's viewing angle information, the observer's azimuth information, response speed information, backlight brightness information, monitor characteristic information, external light information, or gamma characteristic information. (a) inputting reference image data; (b) performing image simulation for each of red (R), green (G), and blue (B) wavelengths on the reference image data; (c) preparing a look-up table based on the applied voltages of the red, green, and blue wavelengths based on the simulation results; (d) inputting at least one of the variable information for the reference image data; (e) performing image simulation according to the input variable information; (f) comparing the result of the simulation with the look-up table and detecting the actual gray level value of each RGB change for the same applied voltage; And and (g) outputting output image data based on the changed actual gradation value for each RGB. The method of claim 5, wherein step (b) comprises: (b-1) calculating first TV curves representing transmittances to applied voltages for each of red (R), green (G), and blue (B) wavelengths with respect to the reference image data; (b-2) normalizing each first TV curve based on a peak value and converting the first TV curve into grayscale data; And (b-3) detecting a reference gray value according to the applied voltage for each of the red (R), green (G), and blue (B) wavelengths; The method of claim 5, wherein step (d) And selectively inputting at least one or more of the viewing angle information of the observer, the azimuth information of the observer, response speed information, luminance information of the backlight, monitor characteristic information, external light information, or gamma characteristic information. Image simulation method. The method of claim 5, wherein step (e) (e-1) calculating second TV curves showing transmittances relative to applied voltages for each of red (R), green (G), and blue (B) wavelengths according to the input variable information; And (e-2) normalizing each of the second TV curves based on the first TV curves and converting the second TV curves to grayscale data. The method of claim 5, wherein step (f) comprises: The actual gray value of each of the red (R), green (G), and blue (B) wavelengths is stored according to the applied voltages of the red (R), green (G), and blue (B) wavelengths. -up table), further comprising the step of creating an image simulation apparatus for a liquid crystal display.

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