KR20170129982A - Apparatus for processing image data - Google Patents

Apparatus for processing image data Download PDF

Info

Publication number
KR20170129982A
KR20170129982A KR1020160059922A KR20160059922A KR20170129982A KR 20170129982 A KR20170129982 A KR 20170129982A KR 1020160059922 A KR1020160059922 A KR 1020160059922A KR 20160059922 A KR20160059922 A KR 20160059922A KR 20170129982 A KR20170129982 A KR 20170129982A
Authority
KR
South Korea
Prior art keywords
image data
dimensional image
pixel
value
height value
Prior art date
Application number
KR1020160059922A
Other languages
Korean (ko)
Inventor
전재홍
이재훈
손현중
홍성민
윤훈식
Original Assignee
전재홍
손현중
이재훈
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 전재홍, 손현중, 이재훈 filed Critical 전재홍
Priority to KR1020160059922A priority Critical patent/KR20170129982A/en
Publication of KR20170129982A publication Critical patent/KR20170129982A/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/60—Editing figures and text; Combining figures or text
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/005—General purpose rendering architectures
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/30—Image reproducers
    • H04N13/361—Reproducing mixed stereoscopic images; Reproducing mixed monoscopic and stereoscopic images, e.g. a stereoscopic image overlay window on a monoscopic image background
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20221—Image fusion; Image merging

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Graphics (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Image Processing (AREA)

Abstract

The present invention relates to an image data processing device comprising: a 2D image processing unit; a 3D image processing unit; and an image combining unit. The 2D image processing unit extracts a pixel of a background unit from 2D image data; sets a tone value of the extracted background unit pixel as a setting value; and generates/outputs the 2D image data for compensating the background unit. The 3D image processing unit is moved in a row direction and a column direction by a pixel group unit and a pixel unit having a matrix structure defined in the 3D image data; determines line connection between two pixels which are adjacent to each other in the row direction; and generates a mesh for a plurality of pixels. The 3D image processing unit determines a compensation requirement pixel for a pixel group of which a difference between a first average height value, which is an average height value of the plurality of pixels included in each pixel group, and a second average height value, which is an average height value of other pixels excluding a pixel positioned in the center among the plurality of pixels included in each pixel group, exceeds a setting value. The 3D image processing unit controls a height value of the compensation requirement pixel as an average value of the first average height value and the second average height value; and generates/outputs the 3D image data for compensating the height value by compensating the height value. The image combining unit combines the 2D image data for compensating the background unit and the 3D image data for compensating the height value at each pixel unit; and outputs the 3D image data. The present invention improves user satisfaction.

Description

[0001] APPARATUS FOR PROCESSING IMAGE DATA [0002]

The present invention relates to an image data processing apparatus, and more particularly, to an image data processing apparatus for generating a three-dimensional (3D) image by combining two-dimensional image data and three-dimensional image data.

Dimensional image data and three-dimensional image data for a desired area by using a scanner or the like, and then these three-dimensional image data and three-dimensional image data are combined and processed into three-dimensional image data to obtain three A video data processing device for outputting a 2D image to a display device such as a liquid crystal display device has been developed and commercialized.

Therefore, the user does not go to a desired place himself, but attaches a video data processing device to a robot or the like, and acquires a three-dimensional image of a place that is difficult to access or a place desired by the user.

However, using such an image data processing device, a 3D image acquired for a place with poor visibility such as underwater or night is not good in quality, and it is difficult to accurately grasp the terrain for a desired position or secure a view field do.

Therefore, when the image data processing apparatus is used to grasp the terrain and ensure visibility of the place, when a work using equipment such as a robot is performed, a collision accident occurs between the devices due to a poor image quality, Accurate landforms can not be grasped, causing problems such as crashes and equipment failure.

There is a disadvantage in that it is necessary to scan a desired place while moving the corresponding equipment according to a forward scan method when performing a scan operation for a desired place, and a long scan time is required.

SUMMARY OF THE INVENTION Accordingly, the present invention has been made to solve the above-mentioned problems occurring in the prior art.

Another aspect of the present invention is to shorten the image data acquisition time and the image data processing time.

According to an aspect of the present invention, there is provided an image data processing apparatus including a two-dimensional image data storage unit for storing two-dimensional image data that is color image data for each pixel, a three- Dimensional image data stored in the two-dimensional image data storage unit, and extracting background sub-pixels from the two-dimensional image data stored in the two-dimensional image data storage unit, Dimensional image data stored in the three-dimensional image data storage unit, a pixel-by-pixel unit for each pixel group having a predetermined matrix structure stored in the three-dimensional image data storage unit, To determine whether or not a line is connected between two adjacent pixels in the row direction while moving in the row direction and the column direction to generate a mesh for a plurality of pixels A first average height value which is an average height value of a plurality of pixels belonging to each pixel group and a second average height value which is an average height value of other pixels excluding pixels located in the middle of the plurality of pixels belonging to each pixel group A correction requesting pixel is determined for a pixel group whose difference exceeds a set value and the height value of the correction requesting pixel is adjusted to an average value of the first average height value and the second average height value to correct the height value, Dimensional image data and outputting the three-dimensional image data by combining the background-corrected two-dimensional image data and the height-corrected three-dimensional image data on a pixel-by-pixel basis, And a coupling portion.

The three-dimensional image processor calculates a difference between a minimum height value and a maximum height value among a plurality of height values of a plurality of pixels included in each pixel group. If the difference between the calculated height values is less than a set value, It is preferable not to connect the lines between two adjacent pixels in the row direction when the difference in the calculated height value exceeds the set value.

The three-dimensional image processing unit may remove a redundant line such that a plurality of lines are formed between the same pixels and one line is formed between the corresponding pixels.

Preferably, the 3D image processor compares a height value of each pixel belonging to the pixel group with a reference value, and determines a pixel whose height value exceeds a reference value as a correction requesting pixel.

Wherein the two-dimensional image processor calculates an average gray-level value of pixels of the object excluding the background sub-pixels from the image data for two-dimensional, generates a complementary gray-level value for a complementary color of the color corresponding to the calculated average gray- Wherein the image combining unit receives the complementary color tone value applied from the two-dimensional image processing unit and has the same positional information as the background sub-pixel in the image data for height-corrected three-dimensional image supplied from the three- Dimensional background sub-pixel is set as the complementary color gradation value to generate background-adjusted three-dimensional image data, and the three-dimensional background sub-pixel is set with the gradation value of the three- It is desirable to apply contrast differently to the color of a pixel.

According to this aspect, the resolution of the obtained three-dimensional image is improved to accurately grasp the terrain of the place, and the image data acquisition time and the image data processing time are shortened, thereby increasing the satisfaction of the user.

1 is a schematic block diagram of an image data processing apparatus according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating an operation process of the two-dimensional image processing unit and the image combining unit shown in FIG. 1. Referring to FIG.
3 is a view showing an example of a filter mask in an image data processing apparatus according to an embodiment of the present invention.
4 is a diagram schematically illustrating a process of generating a mesh by sequentially moving a filter mask from three-dimensional image data of one frame in an image data processing apparatus according to an embodiment of the present invention.
FIG. 5 is a diagram schematically illustrating a process of generating a mesh in a triangle shape from three-dimensional image data of one frame in an image data processing apparatus according to an embodiment of the present invention.
6 is a view for explaining the principle of mesh formation in three-dimensional image data of one frame of an image data processing apparatus according to an embodiment of the present invention.
7 is a view for explaining a principle of noise elimination performed in a three-dimensional image processing unit of an image data processing apparatus according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but it should be understood that there may be other elements in between do. On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

Hereinafter, an image data processing apparatus according to an embodiment of the present invention will be described with reference to the accompanying drawings, and the image data processing apparatus according to the present example can be used by being attached to a scanner or the like.

1, the image data processing apparatus according to the present embodiment includes a two-dimensional light source unit 110 for acquiring two-dimensional image data, a three-dimensional light source unit 120 for acquiring three-dimensional image data, Dimensional image obtaining unit 210 for obtaining two-dimensional image data according to the operation of the two-dimensional light source unit 110, three-dimensional image obtaining unit 210 for obtaining three-dimensional image data according to the operation of the three- Dimensional image acquiring unit 220,

Dimensional image data obtained from the two-dimensional image acquiring unit 210 and the three-dimensional image acquiring unit 220, which are connected to the two-dimensional image acquiring unit 210 and the three-dimensional image acquiring unit 220, Dimensional light source unit 110 and the three-dimensional light source unit 120, which are connected to the two-dimensional light source unit 110 and the three-dimensional light source unit 120, Dimensional image data storage unit 410 connected to the control unit 300 and storing the two-dimensional image data applied from the two-dimensional image obtaining unit 210, a control unit 300 connected to the control unit 300, Dimensional image data storage unit 420 for storing the three-dimensional image data applied from the image-for-dimension acquiring unit 230, and an output unit 500 connected to the control unit 300. [

In this example, the image data for two-dimensional image data includes red image data obtained by the operation of the two-dimensional image acquiring unit 210 such as a camera when one of red light, green light, and blue light is irradiated, Dimensional (2D) color image data composed of data and red image data.

Accordingly, the two-dimensional image storage unit 410 stores image data (i.e., tone values) for a plurality of pixels arranged in a matrix structure obtained by the operation of the two-dimensional image acquisition unit 210. [

The three-dimensional image data is generated by an operation (for example, photographing operation) of the three-dimensional image acquiring unit 220 when the three-dimensional light source unit 120 for irradiating a beam- And point cloud data consisting of height values of the image data for each pixel obtained from the corresponding region, using the photo-trigonometry or the like, for the corresponding region (i.e., each pixel existing in the corresponding region).

Accordingly, the three-dimensional image storage unit 420 stores height values (i.e., depth information) corresponding to the respective pixels corresponding to the corresponding regions.

The two-dimensional light source unit 110 is a light source for outputting light of a corresponding color to obtain red image data, green image data, and blue image data. The light source unit 110 includes a red light source for emitting red light, a green light source for emitting green light, A green light source for emitting light, and a blue light source for emitting blue light.

The operation states of these light sources are controlled by the operation of the control unit 300. [

However, in an alternative example, in order to obtain two-dimensional image data at night or at night in which a field of view can not be secured due to a shortage of the light source, the two-dimensional light source unit 110 may be a light source for irradiating infrared light or a light source for irradiating ultraviolet light Ultraviolet light can be used.

Therefore, the type of the light source used in the two-dimensional light source unit 110 may vary depending on the surrounding environment of the position for acquiring the two-dimensional image data.

The three-dimensional light source unit 120 includes a light source that outputs a laser beam as described above, and operates in accordance with the control operation of the control unit 300 at that time.

At this time, the control unit 300 may be provided with a separate light source control unit for controlling operations of the two-dimensional light source unit 110 and the three-dimensional light source unit 120.

The two-dimensional image acquiring unit 210 and the three-dimensional image acquiring unit 220 are composed of a camera or a scanner. The two-dimensional image acquiring unit 210 and the three- And outputs the acquired image data to the control unit 300.

At this time, the three-dimensional image acquiring unit 220 includes a transmitter that processes light having a high transmittance in a beam form and transmits the light, and a receiver that receives the reflected light reflected by the transmitted light, The distance between the objects can be measured.

The control unit 300 receives the two-dimensional image data and the three-dimensional image data from the two-dimensional image obtaining unit 210 and the three-dimensional image obtaining unit 220, Dimensional image data storage unit 420 for each frame.

At this time, the size of the two-dimensional image data of one frame made up of the plurality of pixels arranged in the matrix structure acquired by the two-dimensional image obtaining unit 210 is obtained by the three-dimensional image obtaining unit 220 Dimensional image data of one frame composed of a plurality of pixels arranged in a matrix structure.

Accordingly, each pixel has position information indicating that it is located in a few rows and a few columns, a tone value corresponding to the two-dimensional image data, and a height value corresponding to the three-dimensional image data, Values are stored in a storage unit (not shown) so as to correspond to each other.

Then, the two-dimensional image data stored in the storage unit 410 is processed, the three-dimensional image data stored in the storage unit 420 is processed, and the processed two- Dimensional image data, and outputs the generated three-dimensional image data to the output unit 500. [0050]

The control unit 300 includes a two-dimensional image processing unit 310 for processing two-dimensional image data, a three-dimensional image processing unit 320 for processing three-dimensional image data, and two- And an image combining unit 330 for combining three-dimensional image data to generate three-dimensional image data.

The output unit 500 is a display output device that operates under the control of the control unit 300 and outputs a three-dimensional image corresponding to the three-dimensional image data output from the image combining unit 300 of the control unit 300 .

The output unit 500 may be a liquid crystal display (LCD), an organic light emitting diode (OLED), or the like, and may also be a printer.

As shown in FIG. 1, a grating filter 130 may be provided in front of the three-dimensional light source unit 120 to irradiate linearly irradiated light in a lattice form to shorten the acquisition time of three-dimensional image data.

However, the grating filter 130 may be omitted if necessary.

The operation of the image data processing apparatus having such a structure will be described.

First, the operation of the control unit 300 for the two-dimensional image processing unit 310 will be described with reference to FIG.

2 (a)) stored in the two-dimensional image data storage unit 410, the two-dimensional image processing unit 310 extracts the background portion from the two-dimensional image data do.

The two-dimensional image processing unit 310 for this purpose determines whether or not the gray level value of each pixel goes to the set gray level value, and sets the pixel having the set gray level value to a pixel of the background (hereinafter, ) May be a tone value corresponding to black to blue (FIG. 2 (b)).

In order to determine the pixels of the background portion, the two-dimensional image processing portion 310 can determine, as the background sub-pixels, pixels in which the background sub-pixels are consecutively arranged in the row direction or the column direction when determining the background sub-pixels .

When the background subpixel for each pixel of one frame is determined, the two-dimensional image processing unit 310 sets the gray value of the background subpixel to a set value (for example, a gray value of '0' corresponding to white) (Fig. 2 (c)). For this operation, the two-dimensional image processing unit 310 can perform binarization processing on the background sub-pixel.

Next, the two-dimensional image processing unit 310 calculates the average gradation of the pixels (hereinafter referred to as " object pixel ") of the pixels except the background sub-pixels, i.e., A complementary color corresponding to the average gradation value of the calculated object pixels is determined, and then a gradation value (i.e., a complementary color gradation value) for the complementary color is generated.

Next, the two-dimensional image processing unit 310 sets the tone value of the background sub-pixel to a set value (Fig. 2 (d)), Image data).

In this example, the set value may be a gray value corresponding to gray.

At this time, the order of calculating the complementary color gradation value and setting the gradation value of the background sub-pixel to the set value can be changed.

As described above, when the complementary tone values and the image data for background-corrected two-dimensional are generated, the two-dimensional image processing unit 310 outputs the complementary tone values and the background-corrected two-dimensional image data to the image combining unit 330, The image combining unit 330 stores the complementary color gradation value and the background correction two-dimensional image data in a storage unit (not shown) for the combining operation of the image data.

As described above, the two-dimensional image data uses the two-dimensional image data to generate the complementary tone values and the background-corrected two-dimensional image data.

Next, the operation of the three-dimensional image processing unit 320 for processing three-dimensional image data will be described.

3D image data stored in the three-dimensional image data storage unit 420 is first read, and then the three-dimensional image processing unit 320 reads the three-dimensional image data stored in the three- 3 < / RTI > 3 filter matrix having a 3 × 3 matrix structure. At this time, the size of the matrix structure of the filter mask can be changed as needed.

Then, the three-dimensional image processing unit 320 moves the filter mask to a reference pixel (for example, PX (2,2)), and then a plurality of (e.g., 9), a height value processing operation for one frame is performed while moving the positions of the pixels one by one in the row direction and the column direction, as shown in Fig. 4, after the position of the filter mask is moved .

As shown in FIG. 4, the reference pixel is a pixel [PX (2,2)] located in the second row and the second column, but the present invention is not limited thereto and the position of the reference pixel may be changed if necessary. Also, in the case of this example, the height value processing operation for the pixels located in the first row and the first column is excluded, but is not limited thereto.

As described above, when a plurality of (e.g., nine) pixels defined by the filter mask are determined, the three-dimensional image processing unit 320 uses the height values of two adjacent pixels as shown in FIG. 5, And a three-dimensional mesh is generated.

The 3D mesh generation process will be described in more detail with reference to FIG.

In FIG. 6, for convenience, the size of the filter mask is a 3 × 1 matrix structure. For example, a 3-dimensional mesh is generated by moving a pixel unit in a row direction and a column direction in units of a pixel group of a 3 × 1 matrix structure.

Each pixel P1-P9 shown in FIG. 6 is displayed based on the height value.

Therefore, the pixel located closest to the three-dimensional image acquisition unit 220 in the vertical direction (i.e., the height direction) is P2 and the pixel located farthest from the three-dimensional image acquisition unit 220 is P8.

6A, first, the minimum height value and the maximum height value are determined among the respective height values of the pixels P1-P3 included in the first pixel group G11, and the minimum height value and the maximum height (P1-P2) and (P2-P3) adjacent to each other in the row direction if the difference between the calculated height values is less than the set value, ].

However, when the calculated difference in height value exceeds the set value, line connection between two adjacent pixels [(P1-P2), (P2-P3)] in the row direction in the corresponding pixel group G11 is not performed.

In this way, the line matching operation of the pixels belonging to all the pixel groups for the frame is performed.

6B shows a case in which the filter mask is shifted by one pixel in the row direction and a line between two adjacent pixels [(P2-P3), (P3-P4)] in the row direction belonging to the newly generated pixel group G12 Show connection status.

6C is a diagram showing a pixel group G13 generated when the filter mask is moved by one pixel in the row direction in the state of FIG. 6B. In this pixel group G13, , And the difference between the minimum height value and the maximum height value among the pixels P3-P5 exceeds the set value but not less than the set value. Therefore, the line of [P3-P4, P4-P5] The connection is not made and the mesh is not formed.

In the case of FIG. 6C, the line connection between two pixels P3-P4 adjacent in the row direction is performed in the case of the previous pixel group G12.

The height values of the pixels P5-P7 belonging to the pixel group G14 formed in the case of FIG. 6 (d) satisfy the line connecting condition, so that the two pixels [(P5-P6), P7).

By the operation of the three-dimensional image processor 320, the connection state between the corresponding pixels is stored in the storage unit together with the position information of the pixels (i.e., the row direction position and the column direction position).

Next, the three-dimensional image processing unit 320 uses the positional information of the pixels formed with the line using the result of the line connecting operation performed for each pixel group stored in the storage unit, and generates a line formed redundantly between the same pixels So that the lines formed between the pixels become one.

Then, the three-dimensional image processing unit 320 performs an operation of correcting the height value of each pixel and a noise removing operation.

For the noise removing operation, the three-dimensional image processing unit 320 obtains the average height value (n) of all the pixels (n) belonging to the pixel group G21 formed using the filter mask as shown in FIG. 7 1 average height value), and calculates the average height value (second average height value) of the pixels excluding the pixel located at the center among the plurality of pixels, that is, (n-1) pixels.

Then, a difference (e.g., an absolute value) between the first average height value and the second average height value is calculated, and it is determined whether or not the calculated difference set value is exceeded.

Therefore, if the determined error value exceeds the set value, it is determined that a correction is required in which the height value of at least one of the pixels constituting the pixel group G21 is not normal.

In order to determine a pixel requiring correction, the third-dimensional image processing unit 320 compares a height value of each pixel belonging to the pixel group G21 with a reference value, and calculates a pixel requiring a height value correction whose height value exceeds a reference value, That is, the correction required pixel.

If the correction-requiring pixel is determined in the corresponding pixel group G21, the three-dimensional image processing unit 320 sets the corresponding correction value as the average value of the first average height value and the second height value calculated for the corresponding pixel group G21, The height value of the required pixel is adjusted.

Therefore, as shown in Fig. 7C, the correction request pixel Pr is corrected to the pixel Pr 'in the height value, and in the case of (d), due to the correction of the height value of the correction request pixel Ps , And the pixel Ps' corrected in height.

When the height value-corrected three-dimensional image data is corrected through the above process, the three-dimensional image processing unit 320 converts the generated height-corrected three-dimensional image data into an image combining unit 330.

In this manner, when the complementary color gradation value and the background correction two-dimensional image data are applied from the two-dimensional image processing unit 310 and the three-dimensional image processing unit 320 generates and supplies the three-dimensional image data for height value correction, The image combining unit 330 generates three-dimensional image data for the three-dimensional image by combining the two-dimensional image data and the three-dimensional image data using these data, and outputs the three-dimensional image data to the output unit 500, .

That is, the image combining unit 330 generates the background-adjusted three-dimensional image data by setting the complementary tone values of the pixels having the same positional information as the background sub-pixels in the image data for height-corrected three-dimensional images (See Fig. 2 (e)).

Next, the image combining unit 330 sets the height of the background subpixel having the same position information as the background subpixel of the three-dimensional background subpixel, i.e., the background subpixel of the two-dimensional image data, (I.e., a three-dimensional image acquiring unit (i.e., a three-dimensional image acquiring unit) that has a large height in a pixel having a small height value (i.e., a pixel close to the three-dimensional image acquiring unit 220) 220 "). ≪ / RTI >

As a result, the color of the corresponding pixel becomes brighter as it approaches the three-dimensional image obtaining unit 220, and the color of the corresponding pixel becomes darker as the distance from the three-dimensional image obtaining unit 220 increases.

Finally, the image combining unit 330 maps the color-adjusted background-adjusted three-dimensional image data and the background-corrected two-dimensional image data to each other, that is, Dimensional image data is generated by superimposing the image data for background correction 2-dimensional image, and the 3-dimensional image as shown in FIG. 3 (f) is output to the output unit 500.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.

110: two-dimensional light source unit 120: three-dimensional light source unit
210: two-dimensional image acquisition unit 220: three-dimensional image acquisition unit
300: control unit 310: two-dimensional image processing unit
320: a three-dimensional image processing unit 330:
410: Two-dimensional image data storage unit 420: Two-dimensional image data storage unit
500: Output section

Claims (5)

A two-dimensional image data storage unit for storing two-dimensional image data, which is color image data for each pixel,
A three-dimensional image data storage unit for storing three-dimensional image data having a height value for each pixel,
Dimensional image data stored in the two-dimensional image data storage unit to generate background image correction two-dimensional image data by setting the tone value of the extracted background subpixel as a set value and outputting Dimensional image processing unit,
Dimensional image data stored in the three-dimensional image data storage unit, whether or not line connection between two adjacent pixels in the row direction is performed while moving in the row direction and the column direction on a pixel-by-pixel basis for each pixel group having a predetermined matrix structure A first average height value which is an average height value of a plurality of pixels belonging to each pixel group and a second average height value which is a difference between the first average height value of the pixels belonging to each pixel group The correction requesting pixel is determined for the pixel group whose difference between the second average height value, which is the average height value, exceeds the set value, and the height value of the correction requesting pixel is determined as the average value of the first average height value and the second average height value A three-dimensional image processing unit for generating and outputting image data for three-dimensionally correcting the height by adjusting the height value, and
And an image combining unit for combining the background-corrected two-dimensional image data and the height-corrected three-dimensional image data for each pixel to output three-dimensional image data,
And an image processing unit for processing the image data. The method of claim 1,
The three-dimensional image processor calculates a difference between a minimum height value and a maximum height value among a plurality of height values of a plurality of pixels included in each pixel group. If the difference between the calculated height values is less than a set value, And does not connect the line between two adjacent pixels in the row direction when the difference in the calculated height value exceeds the set value. The method of claim 1,
Wherein the three-dimensional image processing unit removes overlapping lines such that a plurality of lines are formed between the same pixels and one line is formed between the corresponding pixels. The method of claim 1,
Wherein the three-dimensional image processing unit compares a height value of each pixel belonging to the pixel group with a reference value and determines a pixel whose height value exceeds a reference value as a correction requiring pixel. The method of claim 1,
Wherein the two-dimensional image processor calculates an average gray-level value of pixels of the object excluding the background sub-pixels from the image data for two-dimensional, generates a complementary gray-level value for a complementary color of the color corresponding to the calculated average gray-
Wherein the image combining unit receives the complementary color tone value applied from the two-dimensional image processing unit and has the same positional information as the background sub-pixel in the image data for height-corrected three-dimensional image supplied from the three- Dimensional background sub-pixel is set as the complementary color gradation value to generate background-adjusted three-dimensional image data, and the three-dimensional background sub-pixel is set with the gradation value of the three- Apply different contrasts to the color of a pixel
Image data processing device.
KR1020160059922A 2016-05-17 2016-05-17 Apparatus for processing image data KR20170129982A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020160059922A KR20170129982A (en) 2016-05-17 2016-05-17 Apparatus for processing image data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020160059922A KR20170129982A (en) 2016-05-17 2016-05-17 Apparatus for processing image data

Publications (1)

Publication Number Publication Date
KR20170129982A true KR20170129982A (en) 2017-11-28

Family

ID=60811101

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020160059922A KR20170129982A (en) 2016-05-17 2016-05-17 Apparatus for processing image data

Country Status (1)

Country Link
KR (1) KR20170129982A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110895550A (en) * 2018-09-13 2020-03-20 北京京东尚科信息技术有限公司 Method and device for processing acquired data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110895550A (en) * 2018-09-13 2020-03-20 北京京东尚科信息技术有限公司 Method and device for processing acquired data
CN110895550B (en) * 2018-09-13 2024-01-12 北京京东尚科信息技术有限公司 Method and device for processing acquired data

Similar Documents

Publication Publication Date Title
JP5973707B2 (en) 3D endoscope device
TWI594018B (en) Wide angle stereoscopic image display method, stereoscopic image display device and operation method thereof
WO2013073028A1 (en) Image processing device, three-dimensional image display device, image processing method and image processing program
US20090079733A1 (en) Apparatus, method, and computer program product for processing three-dimensional images
KR20160121798A (en) Hmd calibration with direct geometric modeling
JP2009524349A (en) Adjustment method of stereoscopic display system
KR101574914B1 (en) Model-based stereoscopic and multiview cross-talk reduction
JP2009080578A (en) Multiview-data generating apparatus, method, and program
US20100079578A1 (en) Apparatus, method and computer program product for three-dimensional image processing
RU2017101484A (en) METHOD AND DEVICE FOR FORMING A THREE-DIMENSIONAL IMAGE
US20190139261A1 (en) Camera parameter calculation apparatus, camera parameter calculation method, and recording medium
JP2006287592A (en) Image generating device, electronic equipment, and image generation method and program
JP2013527932A5 (en)
CN111869202B (en) Method for reducing crosstalk on autostereoscopic displays
JP2013527932A (en) Autostereoscopic display and manufacturing method thereof
CN110662012A (en) Naked eye 3D display effect optimization drawing arranging method and system and electronic equipment
US9202305B2 (en) Image processing device, three-dimensional image display device, image processing method and computer program product
CN108307185B (en) Naked eye 3D display device and display method thereof
CN107730554A (en) The scaling method and device of face battle array structure light imaging system
CN104079913A (en) Sub-pixel arrangement method and device for compatibility of raster stereoscopic displayer with 2D and 3D display modes
KR101454780B1 (en) Apparatus and method for generating texture for three dimensional model
JP4867709B2 (en) Display distortion measuring apparatus and display distortion measuring method
KR20170129982A (en) Apparatus for processing image data
JP5711104B2 (en) Image display apparatus, method, program, and image processing apparatus
US20140313199A1 (en) Image processing device, 3d image display apparatus, method of image processing and computer-readable medium

Legal Events

Date Code Title Description
A201 Request for examination
E902 Notification of reason for refusal
E701 Decision to grant or registration of patent right