KR101814174B1 - Apparatus and method for determining image type and smart device including the apparatus - Google Patents

Abstract

The present invention discloses an image type determining apparatus for determining an image type. The image type determining apparatus includes: an image acquiring unit for extracting a plurality of partial images from an input image; a downscaling unit for generating thumbnails by downscaling the partial images; a binarization threshold value calculating unit for calculating a binarization threshold value by using the thumbnails; a binarization thumbnail generating unit for converting the thumbnails into binarization thumbnails based on the calculated binarization threshold value; and an image type determining unit for calculating and summing a difference value between the binarization thumbnails and determining the input image as a three-dimensional image when the sum of the difference values is less than or equal to a determination reference value. Accordingly, the present invention can reduce a used resource and determine the image type with low power.

Description

TECHNICAL FIELD [0001] The present invention relates to a smart device including a video type discrimination device, a video type discrimination device, a video type discrimination device, a video type discrimination device,

The present invention relates to an apparatus and a method for processing a video signal, and more particularly, to a smart device equipped with a microdisplay, the present invention automatically discriminates a 2D input image or a 3D input image with respect to an arbitrary input image A smart device including the same, and a method of determining a video type.

Recently, a smart device equipped with a microdisplay has been released. A microdisplay generally refers to a small display with a screen size of less than 2 inches diagonally.

 Such a smart device can display not only a two-dimensional plane image (hereinafter, also referred to as a 2D image) but also a three-dimensional image (hereinafter, also referred to as a 3D image). While 2D images show the same images in both eyes, 3D images show different images successively in the left and right eyes of a person, thereby making a person feel like a stereoscopic image by using binocular parallax.

On the other hand, 3D movies and 3D games that can be universally enjoyed through current 3D TVs and monitors are produced so that they can feel the realistic distance feeling, and there is a limitation in realizing virtual reality as reality. In recent years, a head mounted display (HMD) has been commercialized and displays a 3D virtual reality in front of the user using a microdisplay, thereby providing a realistic image to the user.

The 3D image formats include side-by-side, top-and-bottom, and frame sequential. The side-by-side format is an image format in which left and right images are arranged horizontally in one image frame. Top-and-bottom is an image format in which left and right images are arranged vertically in one image frame. It is an image format that sequentially composes left and right video frames alternately without reducing the resolution. For example, a 3D image in a side-by-side format is composed of two frames divided into left and right sides.

However, since the method of displaying a 2D image is different from the method of displaying a 3D image, the smart device should know whether to display a 2D image or a 3D image. If a 3D image input is received while the 2D display mode is in operation, or a 2D image input is received during the 3D display mode operation, the smart device can not expect a normal image display. Therefore, there is a need to distinguish between a 2D image and a 3D image.

2. Description of the Related Art [0002] Conventionally, a technique for distinguishing a 2D image and a 3D image is known. For example, US Patent Publication No. US2013 / 0293673 discloses a technique for determining a video frame type. In this patent, frame type coefficients are output which indicate that the frame is a 2D type, a side-by-side type, or a top-and-bottom type, wherein the frame type coefficients are calculated independently of each other .

In this conventional technique, a lot of software and hardware resources are required to process image type discrimination. Therefore, it is difficult to implement the conventional image type discrimination technology in a smart device such as a smartphone or HMD device having a limited resource, for example, a battery-driven small-sized and limited hardware resource. In other words, since the smart device must use the battery as the power source and the power consumption must be minimized in order to maintain the long usage time, there is a limitation in implementing the conventional image type discrimination technology.

On the other hand, a method of automatically switching the display mode by recognizing codes for a 2D or 3D image by manually selecting a display mode or inserting a recognition code into an input image for normal image display on an arbitrary input image However, additional steps are needed to add and recognize input overhead.

U.S. Published Patent Application 2013/0293673 A1

In order to solve the problems described above, in a smart device equipped with a microdisplay, the present invention automatically performs 2D and 3D image recognition without additional overhead or manual switching by a user, The present invention is directed to a smart device including a video type determination device capable of automatically determining a video type with low power in consideration of the characteristics of a smart device having a limited power capacity, a method thereof, and a video type determination device.

The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided an apparatus for discriminating a video type according to an embodiment of the present invention includes an image acquiring unit for extracting a plurality of partial images from an input image; A downscaling unit for downscaling the partial images to generate thumbnails; A binarization threshold value calculation unit for calculating binarization threshold values using the thumbnails; A binarization thumbnail generator for converting the thumbnails into binarized thumbnails based on the binarization threshold; And an image type discrimination unit for discriminating the input image as a three-dimensional image when the sum of the difference values is less than or equal to a discrimination reference value.

According to another aspect of the present invention, there is provided an image type determination method for determining a video type, including: extracting a plurality of partial images from an input image; Downscaling the partial images to generate thumbnails; Calculating a threshold value for binarization using the thumbnails; Converting the thumbnails into binarized thumbnails based on the calculated binarization threshold; Calculating and summing difference values between the binarized thumbnails; And discriminating the input image as a three-dimensional image when the sum of the difference values is less than or equal to a discrimination reference value.

A smart device including a microdisplay according to another embodiment of the present invention includes an image type determination device for determining whether the input image is a two-dimensional image or a three-dimensional image by calculating a difference between binarized thumbnails generated based on an input image, ; And a display mode switching device for switching display modes according to the discrimination result of the image type discrimination device.

According to embodiments of the present invention, since all operations are performed on thumbnails reduced through downscaling instead of operations on the entire image, resources to be used can be reduced, and a plurality of thumbnails are binarized on the basis of a threshold value (T) The difference between binary values can be obtained by a simple logic operation such as XOR, so that a device for image discrimination can be designed with low power.

In addition, according to the embodiments of the present invention, there is an effect that the image type determination result is automatically reflected on the input image in real time to switch between 2D and 3D display modes.

1 is a configuration diagram of a smart device equipped with a microdisplay according to an embodiment of the present invention.
2 is a block diagram of a video type determination apparatus according to an exemplary embodiment of the present invention.
3 is a flowchart of a method for improving a pixel selection candidate when a representative pixel is selected in a downscaling unit according to an exemplary embodiment of the present invention.
4 is a diagram for explaining an example in which an input image is converted into thumbnail images according to an embodiment of the present invention.
5 is a flowchart of a threshold calculation method for binarization according to an embodiment of the present invention.
FIG. 6 illustrates a binary thumbnail image according to an embodiment of the present invention.
7 is a flowchart illustrating an operation of the image type determination unit according to an exemplary embodiment of the present invention.
FIG. 8 is a flowchart illustrating a method of determining a video type in a video type determination apparatus according to an exemplary embodiment of the present invention. Referring to FIG.
9 is a graph showing a difference ratio when the number of pixels having a difference in the binarized thumbnail of the partial image is divided by the size of the thumbnail (the total number of pixels).

It is noted that the technical terms used in the present invention are used only to describe specific embodiments and are not intended to limit the present invention. In addition, the technical terms used in the present invention should be construed in a sense generally understood by a person having ordinary skill in the art to which the present invention belongs, unless otherwise defined in the present invention, Should not be construed to mean, or be interpreted in an excessively reduced sense. In addition, when a technical term used in the present invention is an erroneous technical term that does not accurately express the concept of the present invention, it should be understood that technical terms that can be understood by a person skilled in the art can be properly understood. In addition, the general terms used in the present invention should be interpreted according to a predefined or prior context, and should not be construed as being excessively reduced.

Furthermore, the singular expressions used in the present invention include plural expressions unless the context clearly dictates otherwise. The term "comprising" or "comprising" or the like in the present invention should not be construed as necessarily including the various elements or steps described in the invention, Or may further include additional components or steps.

Furthermore, terms including ordinals such as first, second, etc. used in the present invention can be used to describe elements, but the elements should not be limited by terms. Terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals refer to like or similar elements throughout the several views, and redundant description thereof will be omitted.

In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. It is to be noted that the accompanying drawings are only for the purpose of facilitating understanding of the present invention, and should not be construed as limiting the scope of the present invention with reference to the accompanying drawings.

1 is a configuration diagram of a smart device equipped with a microdisplay according to an embodiment of the present invention.

As shown in FIG. 1, the smart device 100 according to an exemplary embodiment of the present invention automatically recognizes the type of an input image, that is, a 2D image or a 3D image, and automatically switches the display mode. To this end, the smart device 100 may include a video type determination device 110, a display mode switching device 120, and a display 130.

The image type determination apparatus 110 receives the input image, determines whether the input image is a 2D image or a 3D image, and outputs the determination result to the display mode switching device 120.

The image type determination apparatus 110 can determine whether the input image is a two-dimensional image or a three-dimensional image by calculating a difference between binary thumbnails generated based on an arbitrary input image.

The display mode switching device 120 receives the output value of the image type determination device 110 and generates a signal so that the display mode of the display 130 can be switched to the 2D display mode or the 3D display mode.

The output value of the image type determination apparatus 110 may include a result indicating whether the input image is a 2D image or a 3D image. In the case of a 3D image, a 3D image format scheme (side-by-side, top-and-bottom, frame sequential, etc.) can be included in the result. In addition, if the 3D image format type determination is added, the display mode converter 120 may be configured to automatically select a mode corresponding to each image format.

Hereinafter, the configuration and operation of the image type determination apparatus 110 will be described with reference to FIG.

2 is a block diagram of a video type determination apparatus according to an exemplary embodiment of the present invention.

The image type determination apparatus 110 includes an image acquisition unit 111, a downscaling unit 112, a binning threshold value calculation unit 113, a binarization thumbnail generation unit 114, (115).

The image acquisition unit 111 extracts a plurality of partial images from the input image.

The term " partial image " means at least one frame constituting one image. In the case of a 2D image, the partial image may be a part of a frame constituting the 2D image. In the case of a 3D image, the partial image may be one of a plurality of frames constituting the 3D image. The input image may be a 2D image or a 3D image. The 3D image may have a 3D image format such as a side-by-side, a top-and-bottom, and a frame sequential. The image obtaining unit 111 may extract partial images from the input image according to the 3D image format set by default. Alternatively, the image obtaining unit 111 may extract partial images from the input image according to the information on the 3D image format obtained according to any other method.

If the input image is a 3D image in a side-by-side format, the image obtaining unit 111 extracts left and right partial images from the input image. For example, the image obtaining unit 111 extracts the left side partial image as the right side partial image and the left side as the reference point, half of the resolution width of the input image.

If the input image is a 3D image of a top-and-bottom format, the upper and lower partial images are extracted from the input image. In the case of a 3D image of a frame sequential format, the partial images of the 3D image are not coded into one frame. In this case, the image obtaining unit 111 may extract the two sequentially provided image frames of the input image as partial images of the 3D image.

The partial images output from the image acquisition unit 111 are input to the downscaling unit 112. The downscaling unit 112 generates thumbnail images by downscaling each of the partial images at an N: 1 ratio.

For example, if N is 16, the downscaling unit 112 divides each partial image into a plurality of NxN-sized blocks, and selects one representative pixel in each NxN-sized block to generate a thumbnail image of the sample partial image. Here, the thumbnail image is an image composed of sample pixels of blocks of the partial image.

The number represented by N may be any natural number. When the horizontal resolution of the partial image is W and the vertical resolution is H, it is basically reduced to W / NxH / N. In some cases, W / Mx If you need to reduce to H / N or W / N x H / M, you can define the reduction ratio (M, N) for X and Y axis respectively.

Also, since power consumption is an important design factor in smart devices equipped with microdisplay, if N (or M) becomes large, the computation burden will be reduced in the following stage to further reduce power consumption. However, Since there is a side view, it can be selected based on the trade-off of the amount of calculation depending on accuracy and power consumption.

In addition, representative pixels can be selected by a random pixel, a fixed pixel, and a method specified by an algorithm.

In this case, the downscaling unit 112 may select a representative pixel by using a random method, a fixed method, or a predetermined algorithm, excluding the pixels at the boundary (edge) among representative pixel candidates. An embodiment for improving the pixel selection candidate when the representative pixel is selected in the downscaling unit 112 will be described with reference to FIG.

3 is a flowchart of a method for improving a pixel selection candidate when a representative pixel is selected in a downscaling unit according to an exemplary embodiment of the present invention.

Since the edge portion of the partial image does not represent the characteristic of the image, the downscaling unit 112 excludes the pixel in the edge region of the partial image from the pixel selection candidate so as not to become the representative pixel.

Referring to FIG. 3, when a representative pixel is selected for each of the blocks obtained by dividing the partial image, the downscaling unit 112 determines whether the pixel is a pixel in the edge area of the partial image in step 310. If the corresponding pixel is a pixel in the boundary region of the partial image, the downscaling unit 112 selects the representative pixel by excluding the corresponding pixel from the selection candidate for the thumbnail image in step 320, and outputs the thumbnail image in step 330 . FIG. 4 shows a thumbnail image of the input image.

4 is a diagram for explaining an example in which an input image is converted into thumbnail images according to an embodiment of the present invention. The left image of FIG. 4 is an input image, and the right image of FIG. 4 is a thumbnail image obtained by reducing a partial image.

As shown on the left side of FIG. 4, the input image is a FHD (Full HD) (resolution: 1920x1080) class image. 3D images are images having a side-by-side image format. For each image, sports, movies, landscapes and so on are named according to the characteristics of the images (3D_golf, 3D_avatar, 2D_coastalcity, 2D_road).

The image shown on the left side of FIG. 4 was input and the reduction ratio N was experimentally set to 16 in both the horizontal and vertical directions. Therefore, the size of the reduced thumbnail of the FHD image (1920x1080) is represented by 60x68 on each side. The thumbnail image shown on the right side of FIG. 4 is generated by reducing the input image to a reduction ratio of 16: 1 in the horizontal and vertical directions, and is a thumbnail image in gray scale.

Referring to FIG. 2 again, the downscaling unit 112 provides the generated thumbnail image to the binarization threshold calculator 113 and the binarized thumbnail generator 114.

The binarization threshold value calculation unit 113 calculates the binarization threshold value T using the thumbnail images. Specifically, the threshold value calculation unit 113 calculates a threshold value for binarization for use in converting thumbnail images of partial images into binary thumbnail images. The binarization threshold value T may be a previously defined value. In this case, since the image characteristics may be different for each partial image, it may be preferable to calculate the binarization threshold T for each partial image. A method of calculating the threshold value for binarization by the binarization threshold value calculation unit 113 will be described with reference to FIG.

5 is a flowchart of a threshold calculation method for binarization according to an embodiment of the present invention. 5, description will be made only on the assumption that the input image has the side-by-side format and that the left partial image and the right partial image are extracted from the input image.

Referring to FIG. 5, in step 410, the binarization threshold calculator 113 calculates sum pixel values by summing all the pixel values of the thumbnail image of each partial image. The binarization threshold value calculator 113 sums all the pixel values of the left and right thumbnail images, for example.

The sum pixel value of each thumbnail image can be obtained as shown in Equation (1) below.

In Equation (1), W represents the width of the thumbnail image, and H represents the height of the thumbnail image.

After calculating the sum pixel value, the binarization threshold calculating unit 113 calculates the average pixel value by dividing the sum pixel value of each thumbnail image by the size of the thumbnail image, that is, the number of pixels in step 420. The average pixel value of each thumbnail image can be obtained by the following equation (2).

 The binarization threshold value calculation unit 113 calculates an average value of average pixel values of the thumbnail images in step 430 and determines binarization threshold value as a binarization threshold value. The threshold value for binarization can be obtained by the following equation (3).

The steps of FIG. 5 may be separated / expanded / added or integrated / reduced by redefining the function of the operation step as necessary.

The binarized thumbnail generator 114 receives the binarization threshold T from the binarization threshold calculator 113. In addition, the binarized thumbnail generator 114 receives the thumbnail image from the downscaling unit 112. The binarized thumbnail generator 114 converts the thumbnail images into binarized thumbnail images based on the binarization threshold value T.

Specifically, the binarized thumbnail generator 114 compares the value of each pixel with the binarization threshold T for a thumbnail image of each partial image, and changes the value of the corresponding pixel to a binary value 1 when the threshold is exceeded And generates a binary thumbnail image by changing the value of the pixel to a binary value 0 if the value of the pixel is equal to or smaller than the binarization threshold value T. [

FIG. 6 illustrates a binary thumbnail image according to an embodiment of the present invention.

Referring to FIG. 6, a binarized thumbnail image output from the binarized thumbnail generator 114 is shown. In the case of FIG. 6, a thumbnail reduced to a reduction ratio of 16: 1 in the horizontal and vertical directions with respect to the input image is converted into binary thumbnail images based on the threshold value T for binarization.

The binarized thumbnail generating unit 114 provides the binarized thumbnail images of the partial images to the image type discriminating unit 115.

The image type determination unit 115 calculates and sums the difference value between the binarized thumbnail images. Specifically, the image type determination unit 115 may perform logical operations on the pixel values of the binarized thumbnail images to calculate the result of the logical operation as the difference value between the binarized thumbnail images.

The logical operation may be an exclusive or (XOR) operation. If the pixel values between the binarized thumbnail images are the same value, the result value of O is calculated. If the pixel values between the binarized thumbnail images are different values, a result value of 1 is calculated. The image type determination unit 115 may generate a difference thumbnail made up of the result of the logical operation.

In this case, the image type determination unit 115 may be implemented as an XOR circuit.

The image type determination unit 115 calculates the sum value by summing the difference values between the binarized thumbnail images. If the logical operation is an exclusive logical OR, the sum of the difference values between the binarized thumbnail images can indicate how the binarized thumbnail images are different. If the sum of the difference values between the binarized thumbnail images is large, the difference between the binarized thumbnail images is large. If the sum of the differences between the binarized thumbnail images is small, the difference between the binarized thumbnail images is small.

The image type determination unit 115 compares the sum value with the determination reference value. The discriminant reference value is used to determine whether the input image is a 2D image or a 3D image. Specifically, when the sum value exceeds the discrimination reference value, the image type determination unit 115 may determine that the partial images are different parts than the same part, and thus output a result of discriminating the input image as a 2D image . If the sum value is equal to or smaller than the discrimination reference value, the image type determination unit 115 may determine that the partial images are 3D frames of the same portion, and thus output the resultant image as the 3D image.

On the other hand, the image type determination unit 115 may determine the case where the image type does not represent a general image. In this case, the video type determination unit 115 can output a determination value indicating that the input video has a video type having a predetermined pattern (also referred to as a special pattern). The operation of the image type determination unit 115 in this case is shown in FIG.

7 is a flowchart illustrating an operation of the image type determination unit according to an exemplary embodiment of the present invention.

Referring to FIG. 7, the image type determination unit 115 performs logic operation on the binary thumbnail images in step 610, and determines whether the input image has a special pattern in step 620. For example, as in the case where a 2D image is represented by one color, a 2D image having little difference between partial images is highly likely to be discriminated as a 3D image. If the input image has a special pattern, the image type determination unit 115 may output a determination value indicating that the input image has a special pattern in step 630. If the input image does not have the special pattern, the image type determination unit 115 compares the sum of the difference values between the binarized thumbnail images with the discrimination reference value in step 640. In step 650 or 660, the image type determination unit 115 determines the input image as a 2D image or a 3D image according to the comparison result. The video type determination unit 115 outputs the video type determination value to the display mode switching device 120. [

If the input image has a special pattern, the display mode switching device 120 may select a display mode suitable for the special pattern, or maintain the previous display mode, or the like so that the display mode switching device 120 reflects the smoother image representation. In order to process an image discriminated as a special pattern, the display mode switching device 120 does not consider only the discrimination value of the current input image, but rather holds a display mode value of some past image and performs a smooth transition or a mode switching disregard .

 The operation of the video type determination device 110 having the above-described configuration is shown in Fig.

FIG. 8 is a flowchart illustrating a method of determining a video type in a video type determination apparatus according to an exemplary embodiment of the present invention. Referring to FIG.

Referring to FIG. 8, in operation 810, the image type determination apparatus 110 extracts a plurality of partial images from the input image.

In step 820, the image type determination apparatus 110 generates thumbnail images of partial images by downscaling each of the partial images at an N: 1 ratio.

In operation 830, the image type determination apparatus 110 calculates the binarization threshold value T using the thumbnail images. Specifically, the image type determination apparatus 110 calculates a threshold value for binarization for use in converting thumbnail images of partial images into binary thumbnail images. The binarization threshold value is calculated by summing all the pixel values of the thumbnail image of each partial image, calculating the sum pixel value, and calculating the average pixel value by dividing the sum pixel value of each thumbnail image by the size of the thumbnail image, And then calculating an average value of average pixel values of the thumbnail images.

Subsequently, in step 840, the image type determination apparatus 110 converts the thumbnails into binary thumbnails based on the calculated binarization threshold value. Specifically, the image type determination apparatus 110 compares the value of each pixel with the threshold value T for binarization with respect to a thumbnail image of each partial image, and changes the value of the pixel to a binary value 1 when the threshold value is exceeded And generates a binary thumbnail image by changing the value of the pixel to a binary value 0 if the value of the pixel is equal to or smaller than the binarization threshold value T. [

Then, in step 850, the image type determination device 110 calculates and sums the difference value between the binarized thumbnails. Specifically, the image type determination apparatus 110 may perform a logical operation on pixel values of the binarized thumbnail images to calculate the result of the logical operation as a difference value between the binarized thumbnail images. Then, the image type determination apparatus 110 calculates the summation value by summing the difference values between the binarized thumbnail images.

The image type discriminating apparatus 110 discriminates the input image as a three-dimensional image when the sum of the difference values is compared with the discrimination reference value in step 860 and the sum value is equal to or smaller than the discrimination reference value in step 880. If the sum value exceeds the determination reference value in step 870, the image type determination device 110 determines the input image as a two-dimensional image.

9 is a graph showing a difference ratio when the number of pixels having a difference in the binarized thumbnail of the partial image is divided by the size of the thumbnail (the total number of pixels).

In the case where the partial images are small in the input image (horizontal axis), the 3D image can be discriminated. In the case where the partial images are different, the 2D image can be distinguished from the graph in the graph . In addition, since the discrimination margin area which can be set as the reference value of 2D and 3D is sufficient in FIG. 9, it can be confirmed that the method proposed by the present invention is effective.

111:
112: downscaling unit
113: binarization threshold value calculation unit
114: a binarized thumbnail generating unit
115: image type discrimination unit

Claims (16)

A video type discriminating apparatus for discriminating a video type, comprising:
An image obtaining unit for extracting a plurality of partial images from the input image;
A downscaling unit for downscaling each of the plurality of partial images to generate a plurality of thumbnails;
A binarization threshold value calculation unit for calculating binarization threshold values using the plurality of thumbnails;
A binarization thumbnail generator for converting the plurality of thumbnails into a plurality of binarization thumbnails based on the calculated binarization threshold; And
And an image type discrimination unit for discriminating the input image as a three-dimensional image when the sum of the difference values is less than or equal to a discrimination reference value, based on the differences between the plurality of binarization thumbnails.
The apparatus of claim 1, wherein the plurality of partial images include a first partial image and a second partial image.
The apparatus of claim 2, wherein the image type determination unit comprises logic operation result values obtained by performing logical operations on pixel values of a binarized thumbnail of the first partial image and pixel values of a binarized thumbnail of the second partial image, And calculates and sums the difference values.
The image type discrimination apparatus of claim 1, wherein the image type discrimination unit discriminates the input image as a two-dimensional image when the sum of the difference values exceeds the discrimination reference value.
4. The apparatus of claim 3, wherein the logical operation is an exclusive or (XOR) operation.
The apparatus of claim 1, wherein the image type determination unit determines whether the input image has a predetermined pattern, and determines whether the input image has a predetermined pattern if it is determined that the input image has a predetermined pattern Output type image type discrimination device.
A video type discrimination method for discriminating a video type,
Extracting a plurality of partial images from an input image;
Generating a plurality of thumbnails by downscaling each of the plurality of partial images;
Calculating a threshold value for binarization using the plurality of thumbnails;
Converting the plurality of thumbnails into a plurality of binarization thumbnails based on the calculated binarization threshold value;
Calculating and summing difference values between the plurality of binarized thumbnails;
And discriminating the input image as a three-dimensional image when the sum of the difference values is less than or equal to a discrimination reference value.
8. The method of claim 7, wherein the plurality of partial images include a first partial image and a second partial image.
The method of claim 8, wherein calculating and summing the difference values between the plurality of binarized thumbnails is performed for pixel values of the binarized thumbnail of the first partial image and pixel values of the binarized thumbnail of the second partial image, And calculating and summing the result values of the logical operations obtained by performing the logical operation as the difference values.
8. The method of claim 7, further comprising determining the input image as a two-dimensional image if the sum of the difference values exceeds the determination reference value.
11. The method of claim 9, wherein the logical operation is an exclusive or (XOR) operation.
The method of claim 7, further comprising: determining whether the input image has a predetermined pattern; And
And outputting a discrimination value indicating that the input image has a predetermined pattern if it is determined that the input image has a predetermined pattern.
In a smart device including a microdisplay,
An image type discrimination device for discriminating whether the input image is a two-dimensional image or a three-dimensional image by calculating a difference between binarized thumbnails generated based on an input image; And
And a display mode switching device for switching display modes according to the discrimination result of the image type discrimination device,
Wherein the image type determination device comprises:
An image acquiring unit for extracting a plurality of partial images from the input image,
A downscaling unit for downscaling each of the plurality of partial images to generate a plurality of thumbnails,
A binarization threshold value calculation unit for calculating a binarization threshold value using the plurality of thumbnails,
A binarization thumbnail generator for transforming the plurality of thumbnails into a plurality of binarization thumbnails based on the binarization threshold;
And a video type determination unit for determining and summing difference values between the plurality of binarization thumbnails and determining the input video as a three-dimensional video when the sum of the difference values is less than or equal to a discrimination reference value.
delete 14. The apparatus of claim 13, wherein the image type determination unit determines whether the input image has a predetermined pattern, and determines whether the input image has a predetermined pattern if it is determined that the input image has a predetermined pattern Smart device to output.
16. The smart device according to claim 15, wherein the display mode switching device switches to a display mode corresponding to the predetermined pattern upon receiving a discrimination value indicating that the input image has a predetermined pattern, from the image type discriminating part.

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