KR20090057567A - Image display apparatus and method for controlling image - Google Patents

Abstract

An image display device according to the present invention includes a data storage unit for storing an image signal input from the outside in units of frames; A position detector for detecting vertical and horizontal starting points of an input frame pre-stored in the data storage unit based on a gray level preset by a user; A controller configured to determine a crop region of the input frame based on the vertical and horizontal start points detected by the position detector, and control the size of the input frame to be adjusted according to the determined crop region; And an image adjusting unit adjusting the size of the input frame based on the determined crop area according to the control signal of the controller.

Description

Image display apparatus and method for controlling image

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image display device, and more particularly, to an image display device and an image adjusting method for setting an optimal overscan rate according to an input image.

Recently, image display devices have been introduced that show an input image as it is, but do not over-scan the input signal (HDMI, DTV, etc.).

The over-scan is implemented by cutting the outer portion of the input image by a specific ratio, and the just scan is implemented by displaying the input image without cutting it.

In order to implement the over scan and just scan functions, the vertical start and horizontal start parts of an image are calculated by using DE (Data Enable) information and vertical (H) / horizontal (V) sync information carried in an input signal. In this case, the abnormal image of the outer portion of the image is cut out and displayed to the user.

In this case, since the above information exists only in a specific input signal source such as HDMI and not in most other input signals, the outer edge of the input image is set to a default setting value (H, V Position and size). Cut out the part and display it.

However, when displaying a video signal input from the outside in a conventional manner, when watching a low-cost DVD title or when watching an analog signal without relevant information on the input signal, the H / V start at which the starting point of the actually input video is calculated is calculated. Unlike the viewpoint, sizzling abnormal images are shown.

In other words, as shown in FIG. 1, there is a problem in that information on an image signal does not exist, and an arbitrary region sizzling in the outer portion of the image is displayed as it is by performing a just scan by calculating an arbitrary H / V starting point. .

Therefore, a user may have to manually adjust an aspect ratio control (ARC) or a zoom ratio to avoid an abnormal section of the outer portion of the image.

In addition, when adjusting the aspect ratio of an image by setting a specific ratio (for example, 16: 9) as described above, since there is no information on the input image, an arbitrary H / V starting point is calculated to calculate the By adjusting the aspect ratio, there is a problem that the auto scan rate is not finely adjusted and the image area that the user wants to view is cut off.

SUMMARY OF THE INVENTION The present invention has been made to solve such a problem, and an object thereof is to prevent an abnormal section about an outer portion of an image from being displayed to a user by inspecting an input image in real time and adjusting a crop section accordingly. have.

In addition, there is another purpose to provide an optimal image screen to the user by optimizing the over scan rate according to the input image.

According to an aspect of the present invention, there is provided a video display device comprising: a data storage unit for storing an image signal input from an external frame; A position detector for detecting vertical and horizontal starting points of an input frame pre-stored in the data storage unit based on a gray level preset by a user; A controller configured to determine a crop region of the input frame based on the vertical and horizontal start points detected by the position detector, and control the size of the input frame to be adjusted according to the determined crop region; And an image adjusting unit adjusting the size of the input frame based on the determined crop area according to the control signal of the controller.

In addition, an image adjusting method of an image display apparatus according to the present invention for achieving the above object comprises the steps of storing the image signal input from the outside in units of frames; Detecting vertical and horizontal starting points of the stored input frame based on a gray level preset by a user; Determining a crop region of the input frame based on the detected vertical and horizontal starting points; And adjusting the size of the input frame based on the determined crop region.

According to the present invention, an image display device and an image adjusting method crop a video abnormal section outside the image screen with minimal over-scan when viewing an image by using just scan, thereby providing a clean image. To the user, and adjusts the aspect ratio by applying an optimal over-scan rate based on the image in which the abnormal image section is cropped, thereby preventing the image from being lost and making the original image of the image possible for the user. There are many effects that can be provided.

Hereinafter, specific embodiments of the present invention will be described in detail with the accompanying drawings. However, the spirit of the present invention is not limited to the embodiments presented, and other embodiments included within the scope of other inventive inventions or the scope of the present invention can be easily made by adding, changing, or deleting other elements. I can suggest.

Figure 2 is a block diagram showing the configuration of an image display device according to the present invention, Figure 3 is a view showing an aspect ratio adjustment menu screen displayed according to an embodiment of the present invention. Figure 4 is a vertical and horizontal starting point according to the present invention 5 is a diagram illustrating an example of detection, FIG. 5 is a diagram illustrating a crop region of an optimized input frame according to an embodiment of the present invention, and FIG. 6 is an image adjusting method of an image display device according to an embodiment of the present invention. Is a flowchart for explaining step by step, and FIGS. 7 and 8 are flowcharts for describing in detail an image abnormal section detection method of FIG. 6.

First, the image display device according to the present invention includes a key input unit 10 for receiving a request command from a user, and a memory unit 20 for storing an image size adjustment condition set by the user through the key input unit 10. ), A signal receiver 30 for receiving and decoding the video signal input from the outside, a data storage unit 40 for storing the video signal decoded through the signal receiver 30 in units of frames, and the memory unit. A position detector 50 that detects vertical and horizontal start points of the input frame pre-stored in the data storage unit 40 based on the image size adjustment condition previously stored in the 20, and the position detector 50. A controller configured to determine a crop region of the input frame based on the vertical and horizontal starting points, and to adjust the size of the input frame according to the determined crop region 60, an image adjusting unit 70 for adjusting the size of the input frame based on the determined crop area according to the control signal of the control unit 60, and a size adjusting unit through the image adjusting unit 70. And a display unit 80 for displaying the adjusted image.

The operation of the image display device according to the present invention configured as described above is as follows.

First, the image size adjustment condition preset by the user is stored in the memory unit 20.

Here, the image size adjustment condition is a condition for detecting an image abnormal section region, the gray level information which is a reference level for detecting a pointer to which non-black data is input, and the image abnormal section. The inspection frame number for detecting an area and detection area information for detecting the video abnormal section area in the vertical / horizontal area are included.

In addition, in order to variously apply the image size adjustment condition for each implementation time, the user may set the image size adjustment conditions for each time.

Each of the image size adjustment conditions will be described in more detail below.

The video signal input from the outside is received and decoded through the signal receiver 30, and the decoded video signal is stored in the data storage 40 in units of frames.

The controller 60 outputs a control signal to detect vertical and horizontal start points of input frames stored in the data storage unit 40 based on the image size adjustment condition previously stored in the memory unit 20.

In this case, to detect the vertical and horizontal start points, as shown in FIG. 3, it may be performed only when the user sets the auto overscan 100 menu rather than the just scan on the menu screen. It may also be carried out irrespective of.

The position detector 50 detects a vertical / horizontal starting point of an input frame stored in the data storage 40 based on the preset image size adjustment condition according to the control signal of the controller 60.

That is, the position detector 50 checks the level of the vertical / horizontal detection area based on the gray level preset by the user, and accordingly detects the vertical / horizontal starting point where the actual video signal is input. The start point is detected as many as the number of inspection frames set in advance to detect an optimal vertical / horizontal start point.

Here, the vertical / horizontal detection area is H region 1, which is an image abnormal section detection region for the left horizontal region, H region 2, which is an image abnormality detection region for the right horizontal region, and an upper vertical region, as shown in FIG. Information includes V Region 1, which is an image abnormality detection region, and V Region 2, which is an image abnormality detection region of a lower vertical region.

Accordingly, the position detector 50 detects the maximum value Hmax1 at which the actual image data exists in the H region 1 region based on the set gray level, and also exists in the H region 2 region. The maximum value Hmax2 is detected, and the larger of the detected Hmax1 and Hmax2 values is determined as the starting point of the horizontal point.

Similarly, the position detector 50 detects a maximum value Vmax1 in which the actual image data exists in the V region 1 region based on the set gray level, and also in which the actual image data exists in the V region 2 region. The maximum value Vmax2 is detected, and the larger of the detected Vmax1 and Vmax2 values is determined as the starting point of the horizontal point.

The controller 60 may output a control signal so that the size of the input frame is adjusted based on the horizontal / vertical start point detected by the position detector 50, to implement an optimal image screen of the input frame. An area for cropping the abnormal section may be reset based on the resolution of the frame and the original aspect ratio.

That is, the controller 60 receives the horizontal / vertical starting point detected through the position detector 50, and finally finds a larger value among the horizontal / vertical starting points according to the resolution of the input frame and selects the corresponding value. Set the reference starting point.

For example, when the maximum horizontal coordinate (Hmax1) value in the H Region 1 region detected by the position detector 50 is 30 and the maximum horizontal coordinate (Hmax2) value in the H Region 2 region is 15 (at this time) If the maximum horizontal coordinate is x, H total-x), the starting point for the horizontal region is set to 30, the maximum horizontal coordinate (Vmax1) in the region V Region 1 is 10, and in the region V region 2 If the maximum horizontal coordinate (Vmax2) is 20 (V total-y if the maximum vertical coordinate is y), the starting point for the vertical area is set to 20.

In this case, when the resolution of the input frame is 1080P, the area occupied by the video abnormal section in the horizontal region is 30/1920 = 0.0156, and the area occupied by the video abnormal section in the vertical region is 20/1080 = 0.0185. Since the reference start point for adjusting the image size is set to the detected vertical start point.

The controller 60 receives the set reference start point and sets an area for cropping the video abnormal section based on the original aspect ratio of the input frame.

That is, when the set reference start point is a vertical start point, the total vertical area size V_size from which an image abnormal area is cropped in a vertical area may be calculated based on the vertical start point Vmax. The horizontal starting point Hmax and the total horizontal area size H_size from which the abnormal image region is cropped are calculated based on the total vertical area size from which the area is cropped.

In addition, if the set reference start point is a horizontal start point, the total horizontal area size H_size from which an image abnormal area is cropped in a horizontal area may be calculated based on the horizontal start point Hmax. The vertical starting point Vmax and the total vertical area size V_size in which the abnormal image region is cropped are calculated based on the total horizontal area size H_size in which the area is cropped.

For example, if Hmax (horizontal starting point) / H_total (horizontal total number of pixels for the input frame) ≥ Vmax (vertical starting point) / V_total (vertical total number of pixels for the input frame), the H max is referred to as the reference starting point. If Hmax (horizontal starting point) / H_total (horizontal total number of pixels for the input frame) <Vmax (vertical starting point) / V_total (vertical total number of pixels for the input frame), the V max is defined as the starting point. Set it.

In this case, when the H max is set as the reference start point, the horizontal start point for cropping the image abnormal region is H_start = H max, and the total horizontal size H_size in which the image abnormal region is cropped in the horizontal region is H. Since the left horizontal area and the right horizontal area are cropped based on max, respectively, H_total- (2 * H_start) is obtained.

Also, V_start and V_size for maintaining the aspect ratio of the original input frame are calculated based on the calculated H_start and H_size.

In order to maintain the aspect ratio with respect to the original input image, a proportional expression of H_total: V_total = H_size: (V_total-2 * V_start) must be satisfied. The aspect ratio of the original image is equal to the total number of vertical pixels: the number of horizontal vertical pixels. H_size: V_size, the image in which the section is cropped, is also maintained to have the same aspect ratio.

Here, V_size becomes V_total- (2 * V_start) because each of the upper region and the lower region is cropped based on V_start.

Based on such a proportional expression, the V_start and V_size values are obtained based on the following equation.

V_start = {V_total * (H_total-H_size)} / (2 * H_total)

V_size = V_total- (2 * V_start)

Here, since the V_total, H_total, and H_size values are the calculated values or already known values, the V_start value, which is the vertical starting point, can be calculated accordingly, and the image abnormal region is cropped based on the calculated V_start value. The vertical size V_size (= V_total-2 * V_start) can be calculated.

Based on the H_start, H_size, V_start, and V_size values calculated as described above, the image adjusting unit 70 adjusts the size of the input frame by cropping the horizontal area by H_size and the vertical area by V_size at the H_start and V_start points.

That is, as shown in FIG. 5, in the input frame (0,0) of the original image, the horizontal region is cropped by H_siz from the (H_start, V_start) point according to the vertical starting point V_start and the horizontal starting point H_start, and vertical. The area is cropped by V_size to adjust the optimal video screen size in which the video abnormal section is cropped.

In contrast, when V max is set as the reference start point, V_start = V max, which is a start point at which the image abnormal region is cropped, and the total vertical size V_size in which the image abnormal region is cropped in the vertical region is V. Based on max, the upper vertical region and the lower vertical region are cropped V_total- (2 * V_start), respectively.

In addition, the controller 60 calculates H_start and H_size for maintaining the aspect ratio of the original input frame based on the calculated V_start and V_size.

That is, in order to maintain the original aspect ratio, the proportional expression of H_total: V_total = (H_total-2 * H_start): V_size must be satisfied. In other words, since the aspect ratio of the original image is the number of vertical total pixels: the number of horizontal vertical pixels, H_size: V_size, which is an image in which an abnormal image section is cropped, is maintained to have the same aspect ratio.

Here, H_size becomes H_total- (2 * H_start) because each of the left horizontal area and the right horizontal area is cropped based on H_start.

Based on such a proportional expression, the H_start and H_size values are obtained based on the following equation.

H_start = {H_total * (V_total-V_size)} / (2 * V_total)

H_size = H_total- (2 * H_start)

Here, since the H_total, V_total, and V_size values are the calculated values or already known values, the H_start value, which is the horizontal start point, can be calculated accordingly, and the image abnormal region is cropped based on the calculated H_start value. The horizontal size H_size (= H_total-2 * H_start) can be calculated.

Based on the H_start, H_size, V_start, and V_size values calculated as described above, the image adjusting unit 70 adjusts the size of the input frame by cropping the horizontal area by H_size and the vertical area by V_size at the H_start and V_start points.

In addition, the controller 60 controls to adjust the aspect ratio based on a video image in which the video abnormal section is cropped when a user inputs a specific aspect ratio (4: 3, 16: 9, 14: 9, etc.) adjustment command from the user. In this way, the optimal auto-scan rate is applied so that as much of the original image as possible can be displayed.

As described above, the image display device according to the present invention crops an image abnormal section outside the video screen with minimal over-scan when viewing an image using the Just Scan, thereby allowing the user to display an image having a clean image quality. It can provide to the user, and by adjusting the aspect ratio by applying the optimal over-scan rate based on the image of the image abnormal section is cropped, to provide a lot of the original image of the image possible to the user by preventing the image is lost can do.

In the image adjusting method of the image display device according to the present invention configured as described above, as shown in FIG. 6, first, it is determined whether an auto over-scan command is input from the user (S10).

Subsequently, when the auto-scan command is input (S10), the still picture is continuously displayed or the display screen is muted (S20).

Then, the image size adjustment condition preset by the user is extracted from the memory unit 20 (S30). That is, the number of inspection frames, vertical / horizontal starting point detection areas, and gray level information preset by a user are extracted.

Subsequently, the maximum X coordinate value Hmax1 in the H1 area is detected based on the set horizontal start point detection area (S40).

As in step S40, the maximum X coordinate value H max2 in the H2 area is detected based on the horizontal starting point detection area (S50).

Subsequently, it is determined whether the H max1 value in the H1 region is greater than or equal to the H max2 in the H2 region based on the steps S40 and S50 (S60).

Then, when the determination result (S60) Hmax1> = Hmax2, the horizontal start point (Hmax) value is determined as Hmax1 (S70).

In addition, when the determination result (S60) H max1 <H max2, the horizontal start point (H max) value is determined as H max2 (S80).

Subsequently, the maximum Y coordinate value V max1 in the V1 detection area is detected based on the set vertical start point detection area (S90).

Similarly, the maximum Y coordinate value V max2 in the V2 region is detected based on the vertical viewpoint detection region (S100).

Subsequently, it is determined whether the Vmax1 value in the V1 region is greater than or equal to the Vmax2 value in the V2 region based on the steps S90 and S100 (S110).

Then, when the determination result (S110) Vmax1> = Vmax2, the vertical start point (Vmax) value is determined as the Vmax1 value (S120).

In addition, if the determination result (S120) Vmax1 <Vmax2, the vertical start point (Vmax) value is determined as the Vmax2 value (S130).

The reference starting point value for receiving the determined Hmax value and Vmax value and maintaining the aspect ratio of the original image based on the resolution of the input frame (vertical total number of pixels V_total and horizontal total number of pixels H_total) Select (S140).

Subsequently, based on the selected reference starting point value, a crop region of an image abnormal section according to the aspect ratio of the input frame is determined (S150).

Then, the size of the input frame is adjusted according to the determined crop region (S160).

Subsequently, the adjusted image is displayed and the freeze display or the screen mute is released (S170).

Then, it is determined whether the aspect ratio adjustment commands (4: 3, 16: 9, 14: 9) are input from the user (S180).

Subsequently, when an aspect ratio adjustment command is input, the aspect ratio of the input frame is adjusted based on the image in which the video abnormal section is cropped (S190).

Herein, the method (S40 and S50) of detecting the abnormal image section will be described in more detail with reference to FIGS. 7 and 8.

First, a method of detecting the maximum X coordinate value in the H1 detection area (S40) is shown in FIG. 7. First, the x coordinate is set to 0 and the y coordinate is set to 0 to obtain the X coordinate value for the H1 detection area. (S200).

Subsequently, it is determined whether the set y coordinate value is smaller than or equal to V_total (S202).

If the set y coordinate value is less than or equal to V_total, it is determined whether the set x coordinate value is less than or equal to X1 (H1 detection area x coordinate value) (S204).

Subsequently, when the set x coordinate value is less than or equal to X1, the determination result (S204) reads pixel data for the set coordinate (x, y) (S206).

In operation S208, it is determined whether the set coordinate (x, y) data is greater than or equal to a preset gray level.

Subsequently, when the determined coordinate (x.y) data is smaller than the preset gray level, the determination result (S208) returns to step S204 by setting x = x + 1 (S210).

In addition, if the set coordinate (x, y) data is greater than a preset gray level, the determination result (S208) determines whether the coordinate x value having the value is larger than the previously calculated Hmax1 value (S212).

When the x coordinate value is greater than the calculated Hmax1, the determination result (S212) determines the x coordinate value as the Hmax1 value (S214).

Subsequently, the process returns to step S202 with the y coordinate value as y + 1.

On the other hand, if the x value is greater than the set value X1, the determination result (S204), the corresponding coordinate value is set to x = 0 and y = y + 1, respectively, and the process returns to step S202.

In addition, as shown in FIG. 8, in the method S50 of detecting the maximum X coordinate value in the H2 detection area, first, the x coordinate is set to H_total and the y coordinate is set to 0 to obtain the X coordinate value for the H2 detection area. (S300). That is, since the H2 region belongs to the right region in the horizontal region, first, the maximum pixel x coordinate value starts.

Subsequently, it is determined whether the set y coordinate value is smaller than or equal to V_total (S302).

If the set y coordinate value is less than or equal to V_total, it is determined whether the set x coordinate value is greater than or equal to X2 (H2 detection area x coordinate value) (S304).

Subsequently, when the determined x coordinate value is greater than or equal to X2, the determination result (S304) reads pixel data of the set coordinates (x, y) (S306).

In operation S308, it is determined whether the set coordinate (x, y) data is greater than or equal to a preset gray level.

Subsequently, when the determined coordinate (x.y) data is smaller than the preset gray level, the determination result (S308) returns to step S304 by setting x = x−1 (S310).

In addition, if the set coordinate (x, y) data is greater than a preset gray level, the determination result (S308) determines whether the coordinate x value H_total-x having the value is larger than the previously calculated Hmax2 value. (S312).

If the x coordinate value is greater than the calculated Hmax2, the determination result (S312) determines the x coordinate value H_total-x as the Hmax2 value (S314).

Subsequently, the process returns to step S302 with y coordinate value y + 1.

On the other hand, if the x value is smaller than the set X2 value in the determination result (S304), the corresponding coordinate value is set to x = H_total and y = y + 1, respectively, and the process returns to step S302.

Similarly, the maximum y coordinate value in the V1 detection area and the maximum y coordinate value in the V2 detection area along the vertical area are detected.

As described above, the image display device and the image adjusting method according to the present invention crop a video abnormal section outside the image screen with minimal over-scan when viewing an image using the Just Scan, thereby providing clean image quality. The image can be provided to the user, and by adjusting the aspect ratio by applying an optimal over-scan rate based on the image in which the abnormal section is cropped, it is possible to prevent an image that is lost meaninglessly. You can provide a lot of images.

1 is a view showing an image displayed on the display screen according to the prior art.

2 is a block diagram showing the configuration of an image display device according to the present invention;

3 is a diagram illustrating an aspect ratio adjustment menu screen displayed according to an exemplary embodiment of the present invention.

4 illustrates an example of vertical and horizontal starting point detection in accordance with the present invention.

5 is a diagram illustrating a crop region of an input frame optimized according to an exemplary embodiment of the present invention.

6 is a flowchart for explaining a step of adjusting an image of an image display device according to an exemplary embodiment of the present invention.

7 and 8 are flowcharts illustrating a method of detecting an abnormal image section in FIG. 6 in detail.

Claims (16)

A data storage unit for storing an image signal input from the outside in units of frames; A position detector for detecting vertical and horizontal starting points of an input frame pre-stored in the data storage unit based on a gray level preset by a user; A controller configured to determine a crop region of the input frame based on the vertical and horizontal start points detected by the position detector, and control the size of the input frame to be adjusted according to the determined crop region; And, And an image adjusting unit for adjusting the size of the input frame based on the determined crop area according to the control signal of the controller. The method of claim 1, And a memory unit configured to store at least one size adjustment condition among a preset inspection frame number, a vertical / horizontal starting point detection area, and a gray level. The method of claim 2, The position detection unit detects an image abnormal section of the corresponding frame by inspecting the level of the vertical / horizontal detection area by the number of inspection frames based on the gray level stored in the memory. . The method of claim 1, The controller selects one of the detected vertical start points and the horizontal start points based on the resolution of the input frame, and the horizontal start point or the vertical start point for maintaining the aspect ratio based on the selected one of the start points. Image display apparatus, characterized in that for calculating the point. The method of claim 4, wherein The control unit calculates a vertical size that crops an image abnormal region of a vertical portion based on the resolution of the input frame based on the vertical start point detected by the position detector, and calculates a circle size of the input frame. An image display device, characterized in that the horizontal size is calculated by cropping the horizontal starting point and the abnormal section of the horizontal portion based on the aspect ratio. The method of claim 4, wherein When the controller sets the horizontal start point detected by the position detector as a reference, the controller calculates a horizontal size that crops an image abnormal region of a horizontal part based on the resolution of the input frame, and accordingly, the input frame. And a vertical size obtained by cropping the vertical starting point and the abnormal region of the vertical portion based on the original aspect ratio of the image. The method according to any one of claims 5 and 6, And the image adjusting unit adjusts the size of the input frame based on the vertical start point, the horizontal start point, the vertical size, and the horizontal size calculated by the controller. The method of claim 7, wherein And adjusting an aspect ratio of a corresponding input frame based on a size at which the abnormal image section is cropped when a user inputs an aspect ratio adjustment command. Storing image signals input from the outside in units of frames; Detecting vertical and horizontal starting points of the stored input frame based on a gray level preset by a user; Determining a crop region of the input frame based on the detected vertical and horizontal starting points; And, And adjusting the size of the input frame based on the determined crop area. The method of claim 9, And setting at least one condition among a number of inspection frames, a gray level, and a vertical / horizontal detection area for detecting vertical and horizontal start points of the input frame. . The method of claim 10, Detecting vertical and horizontal starting points of the input frame Detecting a video abnormal section of the input frame by inspecting the level of the vertical / horizontal detection area of the input frame by the number of corresponding inspection frames on the basis of the preset gray level. . The method of claim 9, Determining a crop region of the input frame Selecting any one to be a reference among the detected vertical and horizontal starting points based on the resolution of the input frame; And re-detecting a horizontal or vertical starting point based on the selected starting point to determine an area for cropping the abnormal section of the image. The method of claim 12, Re-detecting a horizontal or vertical starting point based on the selected starting point to determine an area for cropping the abnormal section of the image If the selected criterion is a vertical start point, calculating a vertical size that crops an image abnormal section in a vertical region based on the selected vertical start point; And calculating a horizontal size that crops a horizontal start point and a video abnormal section in a horizontal area based on the original aspect ratio, the vertical viewpoint, and the vertical size of the input frame. How to adjust image of display device. The method of claim 12, Re-detecting a horizontal or vertical starting point based on the selected starting point to determine an area for cropping the abnormal section of the image If the selected criterion is a horizontal start point, calculating a horizontal size that crops an image abnormal section in a horizontal area based on the selected horizontal start point; And calculating a vertical size cropped from a vertical start point and a video abnormal section in a vertical area based on the original aspect ratio, the horizontal start time, and the horizontal size for the input frame. How to adjust image of video display device. The method according to any one of claims 13 and 14, Adjusting the size of the input frame And adjusting the size of the input frame based on the calculated vertical start time, vertical size, horizontal start time, and horizontal size. The method of claim 15, Receiving an aspect ratio adjustment command from a user; And adjusting the aspect ratio based on the image of which the size is adjusted by cropping the abnormal part of the image.

Images