KR20020076799A - Frame Part Control Device And Method For Corresponding To Each Video Signal - Google Patents

Abstract

PURPOSE: An apparatus and a method for controlling a frame part adapted for an image signal are provided to reduce an interference effect between adjacent pixels during an operation of data by variably modulating the frame part method in response to gradations of each pixel data consisting of an input image signal and allow the image to have a high definition by clearly representing gradation differences between each pixel as well as to effectively consume a power in comparison with a method for uniformly driving one frame including a whole gradation on a panel. CONSTITUTION: An apparatus for controlling a frame part adapted for an image signal includes an input block(10) for inputting image signals, an image processing block(11) for separately processing the image signals inputted from the input block(10) into each frame, respectively, an image evaluating block(12) for evaluating operation gradation values by operating the pixel gradations of the image signals inputted from the input block(10) by an operation device previously incorporated thereinto, a frame part processing block(13) and a timing block(14) for outputting an organic electroluminescence(EL) panel by controlling output timings of the frame parts realized in the frame part processing block(13). The frame part processing block(13) selects one among a plurality of predetermined frame part methods in response to the operation gradation value evaluated at the image evaluating block(12). And, the frame part processing block(13) reimplements gradations of pixel data consisting of the image signals as a plurality of frame parts by applying image signals in the form of frame unit outputted from the image processing block(11).

Description

Frame Part Control Device And Method For Corresponding To Each Video Signal}

According to the present invention, a gray scale value of pixel data constituting the input image information is processed according to a preset calculation method to detect a calculated gray scale value, and a frame part scheme is selected according to the detected gray scale value, according to a selected frame part scheme. The present invention relates to an image signal adaptive frame control apparatus and method for re-implementing the gradation of input image information into a plurality of frame parts having different gradation ranges.

In a data driving method applied to a general organic EL panel, a pixel emits light when there is a constant potential difference according to the voltage difference between the data line and the scan line, and the gray level of the light emitting pixel is adjusted according to the amount of current flowing through the pixel. That is, the gray level of the pixel is adjusted according to the application time of the current driving the data line, and the time directly affects the gray level representation of the pixels constituting the panel.

As the general organic EL panel adjusts the gradation representation adjusted by the current driving to the application time of the current flowing through the data line, when even the inter-pixel system is remarkable, the gradation included in the original image information is caused by the inter-pixel interference. In some cases, the display may not be displayed, and unnecessary power consumption may occur due to an unstable potential between the data line and the scan line or between the pixels.

In order to solve this problem, the frame part method (Application No. 2000-54117), which is applied, instead of driving the entire frame including the entire gradation on the panel, the frame of which the gradation range of the pixels constituting one frame is different The present invention is to reduce the interference between pixels caused by displaying a plurality of gray scales in a line by reconstructing the sum of the frame parts.

However, since the frame part method implements the gray level of the pixels constituting the frame simply as the sum of the frame parts, the interference elimination effect between each pixel that is emitted when expressing the gray level of various input pixel data on the panel is constant. There was a difficult problem.

Accordingly, the present invention has been invented to solve the above-described problems, and defines a frame part method for realizing one frame by summing frame parts having different gradation ranges, and the frame part method is defined as each input video signal. The purpose of the present invention is to provide a high brightness image by reducing the power consumption caused by uniformly adjusting the frame parts by minimizing the frame part processing and minimizing the interference between each driven pixel.

1 is a block diagram of a video signal adaptive frame part adjusting apparatus according to the present invention.

Figure 2 is a block diagram of a video signal adaptive frame part adjusting apparatus according to an embodiment of the present invention.

3 is a block diagram of an image information evaluator constituting the present invention comprising an averaging device and a disperser;

Figure 4 is a flow chart of the video signal adaptive frame part adjustment method according to the present invention.

<Description of the symbols for the main parts of the drawings>

10, 20: input unit 12, 30: image information evaluation unit

11: image processing unit 13: frame part processing unit

14: timing portion 40: adjustment portion

50: image information evaluation unit 60: frame part application unit

70: frame part table 80: time stamp generator

90 timing application unit 100 organic EL panel

110: average detector 120: distributed detector

111: adder 112: divider

113, 124: Sampler 121: Subtractor

122: absolute value detector 123: averager

Hereinafter, an apparatus and method for adjusting a video signal adaptive frame part according to the present invention will be described with reference to the accompanying drawings.

1 is a block diagram showing the configuration of the present invention, first input unit 10 for inputting a video signal; An image processor 11 for dividing the image signals input by the input unit 10 for each frame; An image information evaluation unit (12) which calculates an operation gray value by calculating a pixel gray level of an image signal input by the input unit (10) with a built-in calculation device; Among the plurality of preset frame part methods, one frame part method is selected according to an operation gray value calculated by the image information evaluator 12 and applied to a video signal in a frame unit output by the image processor 11. A frame part processing unit 13 for re-implementing the gradation of pixel data constituting the video signal into a plurality of frame parts; And a timing unit 14 for adjusting the output timing of the frame parts implemented in the frame part processing unit and outputting the output timing to the organic EL panel.

Hereinafter, the internal operation of the present invention will be described in detail with reference to FIG. 1.

First, the input unit 10 receives an image signal from the outside and outputs it to the image information evaluator 30 and the image processor 11, respectively.

Then, the image processor 11 processes the image signals input by the input unit 10 in units of one frame and outputs them to the frame part processor 13, and the image information evaluation unit 12 includes pixels constituting the input image information. These grayscales are arithmeticly processed by an arithmetic processing unit such as an averager or a disperser to detect arithmetic grayscale values and input them to the frame part processor 13.

Accordingly, the frame part processor 13 selects one frame part method based on a combination of calculation tone values output by the image information evaluation unit 12, and the image processor 11 processes the frame part method in units of frames. Applies to one video signal.

In the above-mentioned frame part method, the gradation of pixel data is re-implemented through the sum of the frame parts having different gradation ranges, and the sum combinations are pre-stored in the frame part processing unit 13 in the form of a lookup table (LUT). Or may be implemented as logic arithmetic circuitry.

The frame part processor 13 re-implements the gray level of the input pixel data output by the image processor by the sum of the frame parts and outputs the reimplemented frame parts to the timing unit 14 in such a frame part method.

Then, the timing unit 14 adjusts the output timing of the frame parts output through the frame part processing unit 13 and outputs them to the organic EL panel.

The above-described internal operation is a general description of the internal operation of the present invention. Hereinafter, an embodiment to which the present invention is applied will be described in detail with reference to FIGS. 2, 3, and 4.

FIG. 2 is a block diagram of an apparatus for adjusting an image signal adaptive frame part to which the present invention is applied. FIG. 3 is an average detector 110 and a distributed detector 120, which are examples of the image information evaluation unit 12 of FIG. ) Shows a block diagram.

First, the video signal adaptive frame part adjusting apparatus of the present invention comprises: an input unit 20 for converting an image signal received from the outside into a basic structure stored in a frame memory; An adjusting unit 40 for dividing the input image signals by frame or line; An image information storage unit 50 for receiving and storing an image signal processed for each frame or line through the adjustment unit 40; An image information evaluation unit 30 for evaluating an input image signal according to a predetermined computing device to select one frame part method and storing the result as an arithmetic value; A frame part applying unit 60 which receives the result values obtained by evaluating the input image and selects one frame part method as a combination of these values and applies the selected frame part method to the input frame output through the adjusting unit 40; Implement the input frame according to a predetermined frame part method selected by the frame part application unit by storing a plurality of frame part sum combinations, each of which may be implemented as the sum of frame parts having different gray levels, in the form of an arithmetic value. A frame part table 70 for determining a predetermined frame part summing combination and outputting the result to the frame part applying unit; A time stamp generator 80 for adjusting the time at which the frame parts implementing each gray level of the input frame are driven in the organic EL panel; And a timing applying unit 90 for adjusting the frame parts and outputting the frame parts in accordance with a synchronization signal indicating a timing at which the frame parts are driven.

The computing device configuring the image information evaluator 30 includes an average detector 110 and a distributed detector 120 as illustrated in FIG. 3.

The average detector 110 includes: an adder 111 for receiving and adding a gray value of pixel data constituting input image information and an average gray value of image information connected to the input image signal; A divider (112) for dividing the sum gray scale value output from the adder (111) by the total gray scale value of pixel data constituting an input frame and a concatenated frame connected to the input frame; And a sampler 113 for sampling the average gradation value output through the divider 112 and outputting the average gradation value to the frame part application unit 60.

In addition, the dispersion detection unit 120 receives and subtracts the gray level value of the pixel data constituting the input image signal and the average gray level value output through the sampler 113; An absolute value detector 122 for obtaining an absolute value of the subtracted value output through the subtractor 121; An averager 123 for calculating an average of the absolute gray scale values output from the absolute value detector 122 and outputting the average values to the frame part applying unit 60; The sampler 124 is configured to sample the average gradation value output from the averager 123 and output the sample to the frame part application unit 60.

Hereinafter, with reference to Figures 2, 3 and 4 will be described in detail the internal operation of an embodiment to which the present invention is applied.

First, the adjusting unit 40 processes the input image signal output from the input unit 20 for each frame part according to the first step S11 shown in FIG. 4, and outputs the result to the image information evaluator 50 and the frame part. Input to the application unit 60.

In addition, the image information evaluation unit 50 performs arithmetic processing on the pixel gray scale values constituting the input image signal output from the input unit 20 according to the second predetermined step S12 shown in FIG. The result is output to the frame part application unit 60 so that the frame part application unit 60 can select one frame part method according to the result output from the image information evaluation unit 50.

To do this, first, a method of determining an optimal frame part method that can implement the gray level constituting the input video signal as the sum of the frame parts is needed. Here, the gray level average value and the acidity value of the pixels constituting the input video signal are used in this way. The combination of makes it possible to select one frame part method.

Hereinafter, as shown in FIG. 4, a method of determining the frame part method in which the image information evaluation unit 30 is variably adjusted according to the average gray value and the acidity value of the pixel data is illustrated in FIG. 3. Detailed description with reference to the following.

First, as illustrated in FIG. 3, when the grayscale values of the pixel data constituting the input video signal are input to the adder 111 and the subtractor 121 built in the image information evaluation unit 30 (S11), When the gray value of the pixel data input from the adder 111 is added to the average gray value of the contiguous pixel data output through the divider 112 and output to the divider 112, the divider 112 is input. The summed grayscale value is divided into the total grayscale value of the pixel data and stored, and then the average grayscale value is output to the sampler 113.

Then, the sampler 113 samples the average grayscale value of the input pixel data in units of frames and outputs the result to the subtractor 121 in the frame part applying unit 60 and the dispersion detector 120, respectively.

The subtractor 121 calculates a difference between the grayscale value of the pixel data input through the input unit 20 and the average grayscale value output through the divider 112, and outputs the result to the absolute value detector 122. The absolute value detector 122 obtains the absolute value of the output result and inputs it to the averager 123 (correction).

Accordingly, the averager 123 obtains an average grayscale value of the pixel data output through the absolute value detector and outputs the average grayscale value to the frame part application unit 60.

As such, the image information evaluator 30 including the average block 110 and the disperser block 120 frames the average value of the pixel data output from the average detector 110 and the acidity value output through the dispersion detector 120. Inputted to the part applying unit 60 (S13), the frame part applying unit 60 may select one frame part method through a combination of the average gray value and the acidity value of the pixel data input from the image information evaluation unit. Make sure

When the third step is finished according to the above-described operation, as shown in FIG. 4, the frame part applying unit 60 may calculate the average gray value and the acidity value received from the image information evaluation unit according to the fourth step S14. In combination, one frame part method is selected.

Hereinafter, a method of selecting one frame part method according to the average gradation value and acidity value of pixel data output from the image information evaluation unit 30 by the frame part application unit 60 will be described in detail with reference to Table 2 below. Same as

One 2 3 4 5 6 7 8 9 10 11 12 13 14 15 0 One One One One One One One One 5 6 6 7 7 7 7 One One One One One One One One One 5 6 6 7 7 7 2 One One One 5 5 5 5 5 6 6 6 6 3 2 2 2 2 2 2 2 2 2 2 4 2 2 2 2 2 2 2 2 5 3 3 3 3 3 3 6 4 4 4 4 7 4 4

<Table 2> Example of frame part application table by mean and variance

The numbers displayed in the uppermost row are mean grayscale values of the pixel data, and the values in the leftmost column define acidity grayscale values of the pixel data.

In addition, the symbol in the block of Table 2 shows the kind of frame part method, for example, "7" expressed as an example of the frame part method is a frame part method which implements one frame as the sum of seven frame parts. The type of is represented as an arithmetic value.

According to Table 2, if the average gradation value of the pixel data output from the image information evaluation unit 30 is 5 and the acidity value is 3, the frame part method defined as "2" in the block of Table 2 is selected. In addition, since the memory (not shown) including the contents of Table 2 is already stored in the frame part applying unit 60, the frame part applying unit may normally perform a processing process.

Through this process, the frame part application unit selects one of the frame part methods (here, “2”) and displays the result as shown in Table 2 of the average gradation value and acidity value output from the image information evaluation unit 30. When input to the part table 70, the frame part table 70 specifically defines one frame part method (here, “2”) selected by the frame part application unit according to Table 1, and the result is defined by the frame part application unit. Output to step 60 to end the fourth step (S14) and proceed to the fifth step (S15).

Hereinafter, in the step S15, the frame part table 70 implements one frame as a sum of frame parts having different gradation ranges and defines the result as an arithmetic value (S15). When described in detail with reference to as follows.

FP 1 FP 2 FP 3 FP 4 #0 0-15 #One 0-7 8-15 #2 0-4 5-9 10-15 # 3 0-3 4-7 8-11 12-15 #4 0-10 11-15 # 5 0-7 8-15 8-15 # 6 0-4 5-15 5-15

<Table 1> Example of frame part table

The top row (FP1-4) is the frame that is applied to implement one frame

As the number of parts, as an example, a method of implementing one frame through four frame parts FP1 to FP4 is described.

In addition, # 1 to # 7 shown in the leftmost column of Table 1 define a frame part application rule as one value. For example, # 3 represents a method of implementing one frame using the sum of FP1, FP2 and FP3 in the upper part. The number defined (for example, 0-15) connected to the hi-phone in the block shown in Table 1 represents the gradation value of the pixel data included in the frame part.

For example, “# 2” in which the frame part application unit 60 selects the average gradation value and the acidity value of the pixel data output from the image information evaluation unit 30 according to the combination of Table 2 represents one frame. As shown in Table 2, FP (Frame Part) 1, in which the grayscale value of pixel data is represented by 0-7, and the grayscale value of pixel data is 8- The sum of FP (frame part) 2 represented by 15 shows that one input frame can be implemented.

Here, each of the gray scale values is an electrical signal representing a degree of color and brightness that implements pixel data included in the frame part. Here, values classified into 0 to 15 steps are used as an example. Accordingly, the different gradation ranges may be adjusted by adjusting the application time of the current output by the data drive to drive data on the scan line of the organic EL panel 100.

In accordance with the above-described operation, the frame part table 70 determines in detail how many sums of frame parts having different gradation ranges are implemented, and stores the result according to the order of frames or the contents of image data. Output to the frame part application unit 60.

Then, the frame part applying unit 60 enables the frame part processing of each gray level of the input image information processed in units of frames through the adjusting unit 40 according to the result output from the frame part table. When the evaluation unit 30 selects # 2 as the frame part method, the frame part applying unit processes the image frame output from the adjusting unit 40 as the sum of two frame parts having different gradation ranges as shown in Table 1, and the The result is output to the timing application unit 90, and the fifth step S15 is completed.

Accordingly, when the fifth step S15 is finished and proceeds to the sixth step S16 as shown in FIG. 4, the data drive constituting the organic EL panel adjusts the frame parts constituting each gray level of the video signal. In this case, the timing applying unit 90 adjusts the frame parts according to the synchronization signal generated from the time stamp 80 and inputs the frame parts constituting one frame to the data drive.

As described in detail above, the apparatus and method for adjusting an image signal adaptive frame part according to the present invention may adjust the frame part method according to the gray level of each pixel data constituting the input image signal, thereby causing interference between adjacent pixels generated during data driving. It is possible to reduce the phenomenon and express the gradation difference between each pixel much more clearly to provide high brightness image and to consume much more efficient power than the method of driving a single frame including the entire gradation on the panel. Can be.

Although the invention has been described in detail only with respect to the specific examples described, it will be apparent to those skilled in the art that various modifications and variations are possible within the spirit of the invention, and such modifications and variations belong to the appended claims.

Claims (11)

An input unit 10 for inputting a video signal; An image processor 11 for dividing the image signals input by the input unit 10 frame by frame; An image information evaluation unit (12) which calculates an operation gray value by calculating a pixel gray level of an image signal input by the input unit (10) with a built-in calculation device; Among the plurality of preset frame part methods, one frame part method is selected according to an operation gray value calculated by the image information evaluator 12 and applied to a video signal in a frame unit output by the image processor 11. A frame part processing unit 13 for re-implementing the gradation of pixel data constituting the video signal into a plurality of frame parts; And And a timing unit (14) for adjusting the output timing of the frame parts implemented by the frame part processor (13) to output the organic EL panel. The method of claim 1, The image processor 11 includes an adjusting unit 40 for processing the image signals input through the input unit 10 by frame or line; An image signal adaptive frame part adjusting apparatus comprising an image information storage unit (50) for receiving and storing the image signal processed for each frame through the adjusting unit (40). The method of claim 1, The frame part processor 13 receives an operation gray level value that evaluates the input image, selects one frame part method using a combination of these values, and divides the selected frame part method by one frame through the adjustment unit 40. A frame part applying unit 60 applied to the; The frame part table 70 determines in detail how many frame parts the gradation of pixel data constituting the image information is to be implemented by the frame part application unit 60 and outputs the result to the frame part application unit 60. Image frame adaptive frame part adjusting apparatus characterized in that consisting of. The method of claim 1, The timing unit 14 includes a time stamp generator 80 for adjusting the time for which the frame parts implemented in the frame part applying unit 60 are driven in the organic EL panel; And a timing applying unit (90) for adjusting the frame parts and outputting the frame parts according to a synchronization signal indicating a timing at which the frame parts are driven. The method of claim 1, The calculating device constituting the image information evaluator 30 detects an average of a gray value of pixel data constituting input image information and an average gray value of image information connected to the input image signal. Wow; And a dispersion detector (120) for calculating an acidity between the grayscale value of the pixel data constituting the input image signal and the average grayscale value output through the average detector. The method of claim 5, The average detector 110 includes: an adder 111 for receiving and adding a gray value of pixel data constituting the input image information and an average gray value of the image information connected to the input image signal; A divider (112) for dividing a sum gray scale value output from the adder (111) into a total gray scale value of an input frame and contiguous frames having time duplication with the input frame; And And a sampler (113) for sampling the average gradation value output through the divider (112) and outputting the average gradation value to the frame part application unit (60). The method of claim 5, The dispersion detector 120 includes: a subtractor 121 which receives a gray value of pixel data constituting an input image signal and an average gray value output through the divider 112 and subtracts the gray level value; An absolute value detector 122 for obtaining an absolute value of the subtracted value output through the subtractor 121; And An averager 123 that calculates an average of the absolute gradation value output from the absolute value detector 122 and the average gradation value output from the sampler 113 and outputs the average value to the frame part application unit 60; And a sampler (124) for sampling the dispersion value output from the averager (123) and outputting the sample to the frame part application unit (60). A first step (S11) of inputting a video signal; A second step (S12) of dividing the image information input in the first step (S11) by one frame unit; A third step (S13) of generating an operation gray value from the gray data of the pixel data constituting the input image information according to the first step (S11) using an operation processing method; A fourth step (S14) of selecting one of a plurality of frame part schemes for implementing the gray level of each pixel data by the sum of the frame parts having different gradation ranges based on the combination of the operation gradation values generated in the third step S13; ; A fifth step (S15) of applying respective pixel gradations of the input image information divided by one frame unit in the second step (S12) to the frame part method selected in the fourth step (S14); And According to the frame part method applied in the fifth step S15, a sixth step S16 of re-implementing the grayscales of the pixel data processed in one frame unit in the second step into a plurality of frame parts and outputting the plurality of frame parts is performed. The video signal adaptive frame part adjustment method characterized in that. The method of claim 8, The operation processing method of the third step (S13) is a video signal adaptive frame part adjustment method characterized in that it calculates any one or more of the gray scale average value, the variance value, the deviation value of the pixel data constituting the image information . The method of claim 8, The frame part method selected through the fourth step (S14) is determined by the combination of the operation gray value calculated in the third step. The method according to claim 8 or 10, The combination of the operation gray value is a video signal adaptive frame control method characterized in that the combination of two or more of the average value, variance value, deviation value calculated.