KR101633635B1 - Color compensation apparatus for controlling three dimensional effect of 3d image and the method thereof - Google Patents

Abstract

The present invention relates to a color correction apparatus and method for adjusting the 3D sensation of a 3D image, and more particularly, to a color correction apparatus for detecting a color correction region based on an LCybCrg color space in an input image of a 3D image, The depth value image of the 3D image is obtained based on the brightness value of the finally detected color correction region and the depth value image and the brightness of the finally detected color correction region is detected based on the detected color correction region and the depth value image, Saturation or a combination thereof, and a method thereof.

Description

TECHNICAL FIELD [0001] The present invention relates to a color correction apparatus and a color correction method for adjusting a three-

[0001] The present invention relates to a color correction apparatus and method for adjusting a three-dimensional image of a 3D image, and more particularly, to a color correction apparatus and method for adjusting a three-dimensional image in a 3D image, The present invention relates to an apparatus and method for detecting a correction region that requires color correction for improvement and adjusting the saturation, brightness, or a combination of the detected correction regions, thereby improving the stereoscopic effect of the 3D image.

Recently, with the development of media industry such as digital cinema and digital broadcasting, content supporting 3D image (3D image) is increasing. In general, a 3D image is not a stereoscopic image output from a display, but a 2D image is processed so as to feel a stereoscopic effect in a human eye.

The right and left eyes of a person usually have a distance of about 6.2 to 6.5 cm on an adult basis. As a result, when a person looks at an object, the images in the left eye and the right eye become slightly different, and each image in both eyes is synthesized in the brain and recognized as a three-dimensional space. As described above, the basic principle of making a stereoscopic image is to use the parallax of two eyes of a person.

In the 3D image production method, two cameras are used to produce left and right images at different time differences. That is, two cameras on the left and right sides are adjusted at intervals of about 6.5 cm, which is the distance between two human eyes, and images are taken. In this way, the left and right images are independently recognized by the left and right eyes of the user through a device such as a display or stereoscopic glasses, so that the user can feel the three-dimensional feeling.

As described above, the stereoscopic feeling perceived by the user while viewing the 3D image is a virtual stereoscopic effect using the parallax of both eyes rather than the actual stereoscopic effect which the stereoscopic image sees, thereby causing a side effect including headache and eye fatigue have.

Meanwhile, in addition to the stereoscopic effect using the parallax of both eyes, the human eye may feel a stereoscopic effect due to color. As shown in FIG. 1 (a), a two-dimensional image can be viewed in three dimensions due to its color. Also, as shown in FIG. 1 (b), the patch may appear forward or backward according to the brightness of the patch 10 with respect to the same background. This is due to the correlation between the characteristics of human vision and the wavelength of light. The human vision has a difference in the position at which the image is formed even if the object is located at the same distance, depending on the color of the object having different wavelengths. As shown in FIG. 1 (c), the human eye recognizes the red color of the long wavelength to be closer to the blue color of the short wavelength.

Based on the above-described human visual characteristics, the present invention proposes an apparatus and method for adjusting the three-dimensional sensation through color correction and reducing eye fatigue.

The following describes briefly the prior art which exists in the technical field of the present invention, and then describes a technical matter that the present invention intends to differentiate from the prior art.

Korean Patent Laid-Open Publication No. 2012-00037454 (Apr. 19, 2012) relates to a method and system for color correction for three-dimensional (3D) projection, and more particularly to a method and system for color correction for three- Acquiring information on an amount of effective hue density adjustment to reduce the amount of hue density adjustment; and producing the stereoscopic image film based on at least the amount of the hue density adjustment. A description of the system is provided.

Korean Patent Registration No. 1119941 (Feb. 26, 2012) relates to a stereoscopic image quality improvement apparatus, and more particularly, to a stereoscopic image enhancement apparatus and a stereoscopic image enhancement method. A depth map generation unit for generating a depth map by applying an edge detection method from an image converted to YUV; A depth map converting unit for obtaining a high frequency component value of the depth map based on the depth map; And a contrast unit for adjusting brightness of a pixel with respect to neighboring pixels having a difference in depth value using high frequency component values of the obtained depth map.

Korean Patent Registration No. 1228783 (2013.01.25) relates to a method of correcting a three-dimensional image using color temperature conversion, and more particularly, to a method of correcting a three- As a target image; A color temperature extraction step of converting the RGB values of the two images of the first step into XYZ coordinates and extracting the color temperature TL (XYZT) of the transformed image and the color temperature TR (XYZR) of the reference image; A mapping calculation step of mapping the converted image XYZR to the XYZT in an XYZ coordinate system; A color temperature conversion function extracting step of extracting RGB values of the converted image according to the calculated mapping; And a color temperature conversion step of performing color temperature conversion of the converted image in accordance with the color temperature conversion function, and a method of correcting a 3D stereoscopic image using color temperature conversion.

The prior art document is related to the correction of the color of a 3D stereoscopic image and has some similarities in the technical field with the present invention. However, the prior art document is for reducing discoloration of 3D stereoscopic images, In order to improve the stereoscopic effect of the 3D image, a color correction region is selected and the brightness, chroma saturation, or saturation of the selected correction region is adjusted to adjust the brightness or consistency of color and brightness in the stereoscopic image. There is a difference from the present invention in that there is no description of a technique for adjusting the combination thereof to improve the stereoscopic effect of a 3D image.

SUMMARY OF THE INVENTION The present invention has been made in an effort to solve the above-described problems, and has an object to provide a method of detecting a correction area requiring correction in an input image of a 3D image, The present invention provides a color correction device and method for adjusting a three-dimensional image of a 3D image, which can improve a stereoscopic effect of a 3D image by adjusting a color saturation or a combination thereof.

In addition, in detecting the correction region requiring correction in the input image of the 3D image, a color correction region is detected based on the LCybCrg color space in the input image, and a color correction region is detected based on the difference of the stereo image And a method of detecting a color correction area to be finally corrected based on the detected color correction area and depth value image, And the like.

In addition, in performing the correction by detecting a correction region requiring correction in the input image of the 3D image, when adjusting the brightness, the saturation, or a combination of the detected correction regions, the fatigue of the eyes felt by the viewer is considered And adjusting a stereoscopic effect of the 3D image to adjust the erection, saturation, or a combination thereof, and a method thereof.

According to an embodiment of the present invention, there is provided a color correction method for adjusting a three-dimensional image of a 3D image, comprising: extracting a color area to be color-corrected from an input image of a 3D image; Extracting a depth value image based on a stereo image from an input image of the 3D image; Extracting one color correction region to be finally subjected to color correction based on the detected color region and depth value image to be subjected to the color correction; And adjusting the saturation of the 3D image by adjusting saturation, brightness, or a combination thereof, after grasping the current saturation and brightness of the finally detected color correction area.

According to an exemplary embodiment of the present invention, the step of extracting the color gamut includes extracting an input image of the 3D image using a brightness image, a Crg image, and a Cyb Separating into an image; And selecting a color region to be color-corrected for controlling the three-dimensional image of the 3D image from the Crg image or the Cyb image among the separated images.

According to another aspect of the present invention, there is provided a method of correcting a 3D image, comprising the steps of: extracting a depth value image from a pair of left and right images constituting the 3D image; and calculating a depth value using an absolute difference stereo matching method.

According to another aspect of the present invention, there is provided a color correction method for adjusting a three-dimensional image of a 3D image, wherein the step of extracting the color correction region comprises: weighting a color region and a depth value image, And adding and adding the data.

In addition, in the color correction method for adjusting the three-dimensional effect of the 3D image according to an embodiment of the present invention, the adjusting of the three-dimensional effect may include adjusting saturation, brightness, And the stereoscopic effect of the 3D image is improved as the brightness is higher.

According to an embodiment of the present invention, there is provided a color correction method for adjusting the three-dimensional sensation of a 3D image, the method comprising the steps of: storing parameter information for a task performed in each step in a database, converting the parameter information into a database, Is used.

According to another aspect of the present invention, there is provided a color correction apparatus for adjusting a three-dimensional sensation of a 3D image, comprising: a color region extraction unit for extracting a color region to be color-corrected from an input image of a 3D image; A depth value extracting unit for extracting a depth value image based on a stereo image from an input image of a 3D image; A color correction region extracting unit for extracting one color correction region to be finally subjected to color correction based on the detected color region and depth value image to be subjected to color correction; And a color correction unit for adjusting the saturation of the 3D image by adjusting the saturation, brightness, or a combination thereof, after grasping the current saturation and brightness of the finally detected color correction area.

According to another aspect of the present invention, there is provided a color correction apparatus for adjusting a three-dimensional image of a 3D image, the color region extraction unit including an input image of a 3D image, a brightness image, a Crg image, and a Cyb image And a color region to be color-corrected is selected for adjusting the three-dimensional image of the 3D image from the separated Crg image or Cyb image.

According to another aspect of the present invention, there is provided a color correction apparatus for adjusting a stereoscopic effect of a 3D image, wherein the depth value extracting unit extracts a pair of left and right images constituting the 3D image by SAD stereo matching stereo matching technique is used to calculate the depth value.

According to another embodiment of the present invention, there is provided a color correction apparatus for adjusting the three-dimensional sensation of a 3D image, wherein the color correction area extracting unit adds weights to the detected color area and the depth value image, And the correction area is extracted.

According to another aspect of the present invention, there is provided a color correction apparatus for adjusting a three-dimensional image of a 3D image, wherein the color correction unit adjusts the color saturation of the 3D image by adjusting chroma, brightness, The higher the brightness, the better the stereoscopic effect of the 3D image.

According to another aspect of the present invention, there is provided a color correction apparatus for adjusting a three-dimensional sensation of a 3D image, the apparatus comprising: a parameter storage unit for storing parameter information for a task to be performed in each configuration; And is used for a correction operation.

More particularly, the present invention relates to a color correction apparatus and method for adjusting a 3D image, and more particularly, to a color correction apparatus and method for detecting a color correction region based on an LCybCrg color space in an input image of a 3D image, Based on the detected color correction area and the depth value image, detects a color correction area to be finally corrected based on the detected color correction area and the depth value image, and calculates the brightness, saturation Or a combination thereof to improve the stereoscopic effect of the 3D image, and it is possible to eliminate the side effects including the pain of the viewer and the fatigue of the eyes.

1 is an illustration for explaining a stereoscopic effect according to color recognition characteristics of a human vision;
FIG. 2 is an exemplary diagram showing RGBCMY chromaticity values of six main indices Red, Green, Blue, Cyan, Magenta and Yellow of an embodiment of the present invention.
FIG. 3A is an exemplary view for explaining a 3D image reproduction experiment performed to distinguish an entering color from a post-fade in the six primary colors according to an embodiment of the present invention; FIG.
FIG. 3B is an exemplary view showing the results of the advance color and post-fade test of the six primary colors according to an embodiment of the present invention. FIG.
FIG. 4A is an exemplary view illustrating CIE LAB color space coordinates of a patch used in the cognitive depth-of-view test according to an embodiment of the present invention; FIG.
FIG. 4B is a diagram illustrating an experiment result of cognitive depth-of-detail according to a chroma change according to an embodiment of the present invention; FIG.
FIG. 5A is an exemplary view illustrating CIE LAB color space coordinates of a patch used in the cognitive depth-of-view test according to an exemplary embodiment of the present invention; FIG.
FIG. 5B is a view illustrating an experiment result of cognitive depth-of-view according to a brightness change according to an embodiment of the present invention; FIG.
6 is a diagram for explaining detection of a color region to be corrected in a stereoscopic image according to an embodiment of the present invention.
FIG. 7 is an exemplary view for explaining acquisition of a depth value image in a 3D image according to an embodiment of the present invention; FIG.
8 is an exemplary view showing a finally detected color correction area according to an embodiment of the present invention;
FIG. 9 is an exemplary view for explaining a color correction device for adjusting a three-dimensional sensation of a 3D image according to an embodiment of the present invention; FIG.
FIG. 10 is an exemplary view for explaining a color correction method for three-dimensional adjustment of a 3D image according to an embodiment of the present invention; FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of a color correction apparatus and method for adjusting a three-dimensional sensation of a 3D image according to the present invention will be described with reference to the accompanying drawings.

FIG. 2 is an exemplary view for explaining six main colors of an embodiment of the present invention, and shows chromaticity values of RGBCMY of Red, Green, Blue, Cyan, Magenta, and Yellow.

In the present invention, first, the primary colors and the post-fading colors are distinguished from the six primary colors according to the color recognition characteristics of the existing human vision. The entry color refers to a color which appears to be protruding forward from the characteristics of the pulling time, and the post-fading refers to a color which appears to be relatively backward.

 The six main colors are red (26), green (22), blue (24), cyan (23), magenta (25) (Chromaticity value 60 of RGBCMY), Green (chromaticity value 120 of RGBCMY), and Cyan (RGBCMY of chromaticity value 20 of RGBCMY) as shown in FIG. 2, Chroma value 180), Blue (RGBCMY chroma value 240), Magenta (RGBCMY chroma value 300), and Red (RGBCMY chroma value 360).

FIG. 3A is a diagram for explaining a 3D image reproduction experiment performed to distinguish an emerging color from a post-fading in the six primary colors according to an embodiment of the present invention. In this experiment, The left and right images are generated, and the left and right images are disparity by moving the right image to give a three-dimensional effect.

 As shown in FIG. 3A, the colors of the cube patch 31 and blue patch 32 are compared with each other to compare colors of the six patches.

FIG. 3B is an exemplary diagram illustrating the results of the advance color and post-color fade test of the six primary colors according to an exemplary embodiment of the present invention. The vertical axis of the graph shown in FIG. .

As shown in FIG. 3B, the degree of advancement of the six major colors showed the highest advance with 25 votes, followed by the order of yellow, green, magenta, cyan, and blue. Based on this, Red, Yellow, and Magenta colors of the red system were evaluated as the entry color which is more advanced in the stereoscopic image. On the other hand, the blue color was evaluated as fading after being seen to be relatively backward compared with any color in the main color.

Meanwhile, FIG. 4A is a view illustrating CIE LAB color space coordinates of a patch used in the cognitive depth-of-view experiment according to an embodiment of the present invention, FIG. 4B is a graph showing the chroma saturation according to an embodiment of the present invention And FIG.

For reference, the CIE LAB color space 40 is a color value defined by CIE (International Lighting Commission), which is a device-independent color space in which the color difference that can be detected by a human eye and the color difference expressed by a numerical value in a color space It is a color space. In the CIE LAB color space 40, L + represents the degree of lightness, a + represents the degree of red and green, and b + represents the degree of yellow and blue.

As shown in FIG. 4A, patches of three levels of chroma (40%, 75%, and 100%) are generated for the six primary colors, and coordinates of the ClE LAB color space 40 for each patch are displayed . In the case of Red, Magenta and Blue, as shown in the figure, the degree of red increases as the saturation increases. In the case of yellow and green, the degree of yellow increases as the saturation increases. Further, in the case of cyan, there is almost no change in the position in the ClE LAB color space 40 due to a large chroma change.

In addition, there is almost no change in L + (degree of brightness) due to the change in saturation. Therefore, the difference in cognitive depth due to the change of saturation is a result not related to the brightness.

In addition, as shown in FIG. 4B, the cued sensation of human vision according to the change of chroma was found to have a higher stereoscopic effect as the saturation increases in all the main colors except blue. However, in the case of Blue, as the saturation increased, the color became more intense. That is, in the case of Red, Magenta and Blue, the degree of the entry index Red increases as the saturation increases. In the case of Yellow, Green and Cyan, as the degree of saturation increases, Of the five major colors except Blue are improved as the saturation increases.

In the case of Blue, the reason why the progression feeling is lowered as the saturation increases is that the degree of Red is higher than that of Green as the saturation increases in the ClE LAB color space (40) coordinates, but the degree of Blue is higher than that of Yellow Because it is bigger.

Meanwhile, FIG. 5A is a diagram illustrating CIE LAB color space coordinates of a patch used in the cognitive depth-of-view test according to an exemplary embodiment of the present invention, FIG. 5B is a graph illustrating a brightness change according to an exemplary embodiment of the present invention. And FIG.

As shown in FIG. 5A, patches of three levels of brightness (30, 50, 70) are generated for the six primary colors, and the coordinates of the ClE LAB color space 40 for each patch are displayed. As shown, there is almost no change in a + and b + depending on the brightness change. Therefore, the difference in cognitive sensation due to the change in brightness is a result different from the change in color.

In addition, as shown in FIG. 5B, the perceived stereoscopic effect of human vision according to the brightness change was found to have a higher stereoscopic effect as the brightness increased in all the main colors.

As a result, it can be seen from FIGS. 4A and 5B that the saturation and brightness of the 3D image are independent from each other.

In the case of Blue, as the degree of saturation decreases, the degree of progression decreases because, as the saturation increases in the ClE LAB color space (40) coordinate, the degree of red is higher than that of Green, but the degree of Blue is higher than that of Yellow It is because of size.

Hereinafter, a method of adjusting the stereoscopic effect of a 3D image using the difference in cognitive sensation caused by a change in color, saturation, and brightness will be described.

In order to perform color correction for enhancing the stereoscopic effect of a 3D image, the present invention first detects a correction region that requires color correction in an input image of a 3D image. The method of detecting the correction region may include first detecting a color region to be corrected based on the LCybCrg color space in an input image and secondly obtaining a depth value image of the 3D image based on a difference in stereo images A method of detecting a color correction area to be finally corrected based on the detected color correction area and depth value image is used.

6 is an exemplary diagram for explaining detection of a color region to be corrected based on an LCybCrg color space in a 3D image according to an embodiment of the present invention. As shown, the present invention first extracts an area to be corrected in the entire image in order to improve the 3D effect through color correction on an input image of a 3D image. First, the color area to be corrected using color information is detected.

The color gamut refers to an in-video region in which a specific color is included in each of input left and right images. In the present invention, the color gamut is extracted based on the LCybCrg color space.

For reference, the LCybCrg color space is an independent color space for each channel, the Cyb axis represents the values of Yellow and Blue, and the Crg axis represents the values of Red and Green.

The input image 50 is separated into the brightness image 51, the Crg image 52, and the Cyb image 53 based on the LCybCrg color space, as shown in FIG. And selects a color region to perform color correction in the separated image.

The method of selecting the color region uses a method of extracting an object to adjust a three-dimensional effect in a background image and selecting a color region mainly used in the extracted object. If detailed work is required, the color gamut to be color-corrected may be determined by the image operator. In the present invention, not only the parameter information on the color gamut selected by the subjective judgment of the image operator, The parameter information for the region extraction can be converted into a database and used for extracting the subsequent color region. That is, in the present invention, in selecting a color region to perform color correction in a 3D image, parameter information about a color region that is automatically or manually selected is stored in a database, and when the next stored color region is selected By using the method of using color space, it is possible to automatically perform the operation over time even though it is a task to manually select a color area.

As described above, according to the present invention, in addition to detecting a color region to be corrected based on an LCybCrg color space in an input image of a 3D image, a depth value image of the 3D image must be acquired based on the difference of stereo images.

FIG. 7 is an exemplary view for explaining acquisition of a depth value image in a 3D image according to an embodiment of the present invention. As shown in FIG. 7, acquiring a depth value image 63 in a 3D image is equivalent to Depth value.

More specifically, a depth value of a 3D image is obtained using a sum of absolute difference stereo matching technique based on a pair of left and right images 61 and 62. Equation 1 below is for calculation to obtain the depth value.

In Equation (1), I _L denotes a left image and I _R denotes a right image. As a result, the depth value image 63 is a parallax image of the left image and the right image. The color correction region to be subjected to the color correction is selected in the parallax image thus obtained.

In addition to using the SAD stereo matching technique, a depth value may be calculated in a 3D image by various methods including a depth camera.

As described above, the resultant images obtained through the two color correction regions (color correction regions 70 and 70 based on the color correction region and the depth value image selected based on the LCybCrg color space) are weighted and added And one color correction area 70 is finally detected.

The color correction area 70 to be finally detected is calculated and detected using the following equation (2).

(W1 = 0.7, w2 = 0.3) is given to the color correction region selected based on the LCybCrg color space rather than the depth value image (63). If the yellow region is selected as the color correction region 70 in the LCybCrg color space in FIG. 6, the final color correction region calculated through Equation (2) is as shown in FIG.

In the present invention, after the color correction area 70 is finally detected in 3D, the current saturation and brightness of the detected color correction area are detected in the ClE LAB color space 40, and the saturation, By adjusting the combination of these, the 3D effect of the 3D image is improved.

To perform the color correction by adjusting the saturation, brightness, or a combination thereof for the finally detected color correction area is basically a method of increasing the saturation, brightness, or a combination thereof by 20% Lt; / RTI > However, in order to obtain an optimum three-dimensional effect, it is necessary to perform color correction differently depending on the conditions of the color type, saturation, brightness, image content, or combination thereof in the color correction region. In addition, even if the stereoscopic effect is improved, the image may cause severe fatigue in the human eye, resulting in side effects such as headache. Therefore, proper color correction can be said to maximize the stereoscopic effect within a range that does not cause the human side effects as described above.

To this end, the present invention employs a method of making a database of all the parameter information to be performed at the time of color correction as well as parameter information about a color correction job performed by a subjective judgment of a video worker and using it later. That is, the information stored in the database can be compared with the condition according to the image to be subjected to the current color correction, and the same effect as that of the expert in the corresponding area can be obtained under the similar conditions.

FIG. 9 is an exemplary view for explaining a color correction apparatus for adjusting a three-dimensional sensation of a 3D image according to an embodiment of the present invention.

9, the color correction apparatus 100 for adjusting the 3D sensation of a 3D image according to the present invention includes a color region extraction unit, a depth value extraction unit 120, a color correction region extraction unit 130, And the color correction device 100 is connected to the database 200. The color correction device 100 includes a color correction device 100,

More specifically, the color region extracting unit 110 extracts a color region to be corrected in the right and left input images of the 3D image, and as described above, And selects a color region mainly used in the extracted object. If detailed work is required, the color gamut to be color-corrected may be determined by the image operator. In the present invention, not only the parameter information on the color gamut selected by the subjective judgment of the image operator, The parameter information for the region extraction can be converted into a database and used for extracting the subsequent color region. The color region thus determined is transmitted to the color correction region extracting unit 130.

In addition, the depth value extracting unit 120 obtains a depth value of a 3D image using a pair of right and left images based on a sum of absolute difference stereo matching (SAD) 130). In addition to the SAD stereo matching technique, the depth value extracting unit 120 may receive a depth value of an image from an external system including a depth camera.

The color correction region extracting unit 130 adds weights to the depth region information received from the depth region extracting unit 120 and adds the weight information to the color region extracting unit 120. Finally, And the weights should be applied differently according to the conditions depending on the color type, saturation, brightness, image content, or a combination thereof of the color correction region of the image. This is possible through the feature of the present invention that the task information is converted into a database and used. That is, when the color correction area is finally extracted, the similar case stored in the database 200 is found and the weight is determined based on the similar case.

The color correction unit 140 performs color correction by adjusting chroma, brightness, or a combination thereof with respect to the color correction area finally detected by the color correction area extractor 130, The information stored in the database 200 and the condition depending on the image to be subjected to the current color correction in order to perform appropriate color correction in accordance with the conditions depending on the color type, saturation, brightness, image content, The color correction is performed based on the experience information of a number of devices stored in the database 200 including the case where the expert of the area manually performs the color adjustment under the most similar conditions.

That is, the color correction apparatus 100 for adjusting the three-dimensional sensation of the 3D image of the present invention is a device capable of learning about color correction, stores information about the work performed in each configuration in the database 200, . That is, as the work information according to the color correction is stored in the database 200 of the present invention, it becomes possible to more and more effectively control the stereoscopic effect of the 3D image.

FIG. 10 is a diagram for explaining a color correction method for adjusting a three-dimensional sensation of a 3D image according to an embodiment of the present invention.

As shown in FIG. 10, the color correction method for adjusting the 3D sensation of a 3D image according to the present invention comprises: firstly, inputting an input image of a 3D image made of a stereo image into a brightness image, a Crg image, and a Cyb image (S101). In operation S102, a color region to be color-corrected is selected to adjust the three-dimensional image of the 3D image in the Crg image or the Cyb image among the separated images. In addition, the depth value of the 3D image is calculated using a SAD (absolute difference stereo matching) technique (S103). A depth value image (parallax image) of the 3D image is obtained using the calculated depth value of the 3D image (S104). Thereafter, weights are added to the color gamut detected based on the LCybCrg color space and the depth value image of the 3D image, respectively, and finally one color correction region is detected (S105). The current saturation and brightness of the finally detected color correction region are obtained by using the ClE LAB color space 40 and then the saturation of the 3D image is improved by controlling the saturation, brightness or a combination thereof (S106).

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be taken by way of limitation. I will understand that. Accordingly, the technical scope of the present invention should be defined by the following claims.

10: Color patch 20: Chromaticity value of RGBCMY
21: Yellow 22: Green
23: Cyan 24: Blue
25: Magenta 26: Red
31: Red Cube Patch 32: Blue Cube Patch
40: ClE LAB color space 50: input image
51: brightness image 52: Crg image
53: Cyb image 61: Left image
62: right image 63: depth value image
70: color correction area 100: color correction device
110: color region extracting unit 120: depth value extracting unit
130: Color correction area extracting unit 140: Color correction unit
200: Database

Claims (12)

Extracting a color region to be color-corrected from an input image of the 3D image;
Extracting a depth value image based on a stereo image from an input image of the 3D image;
Extracting one color correction region to be finally subjected to color correction based on the extracted color region and depth value image to be subjected to the color correction; And
Adjusting the saturation of the 3D image by adjusting saturation, brightness, or a combination thereof, after grasping the current saturation and brightness of the finally extracted color correction region,
The step of extracting the color correction area may include:
And adding and adding weights to the regions selected for color correction in the color region and the depth value image to perform the extracted color correction, respectively. The method according to claim 1,
The step of extracting the color region includes:
Separating an input image of the 3D image into a brightness image, a Crg image, and a Cyb image based on an LCybCrg color space; And
And selecting a color region to be color-corrected in order to adjust the three-dimensional image of the 3D image among the Crg image or the Cyb image among the separated images. The method according to claim 1,
Wherein the step of extracting the depth value image comprises:
And calculating a depth value of a pair of right and left images constituting the 3D image using a sum of absolute difference stereo matching technique. Way. delete The method according to claim 1,
Wherein the step of adjusting the three-
And adjusting the chroma, brightness, or a combination thereof to adjust the 3D sensation of the 3D image, the 3D sensation of the 3D image is improved as the saturation and brightness are increased. The method according to claim 1,
A color correction method for adjusting a stereoscopic effect of a 3D image,
Wherein the parameter information about the operation performed in each step is stored in a database and converted into a database and used for a color correction operation to be performed at a later time. A color region extracting unit for extracting a color region to be color-corrected from an input image of the 3D image;
A depth value extracting unit for extracting a depth value image based on a stereo image from an input image of a 3D image;
A color correction region extracting unit for extracting one color correction region to be finally subjected to color correction based on the color region and the depth value image to perform the extracted color correction; And
And a color corrector configured to adjust the saturation of the 3D image by adjusting the saturation, brightness, or a combination thereof, after grasping the current saturation and brightness of the finally extracted color correction region,
Wherein the color correction area extracting unit
Wherein a weight is added to each of the regions selected for color correction in the extracted color region and the depth value image, and one color correction region is finally extracted. The method of claim 7,
Wherein the color region extracting unit comprises:
The input image of the 3D image is separated into a brightness image, a Crg image, and a Cyb image based on the LCybCrg color space, and a color region to be color-corrected is selected from among the separated Crg image or Cyb image to control the three- And a color correction unit for adjusting the stereoscopic effect of the 3D image. The method of claim 7,
Wherein the depth value extracting unit comprises:
Wherein a depth value of the pair of left and right images constituting the 3D image is calculated using a SAD (SAD) stereo matching method. delete The method of claim 7,
Wherein the color correction unit comprises:
Wherein the three-dimensional sensation of the 3D image is improved as the saturation and brightness are adjusted by adjusting the saturation, brightness, or a combination thereof. The method of claim 7,
A color correction device for adjusting a three-dimensional image of a 3D image,
Wherein the parameter information about the operation performed in each configuration is stored in a database and converted into a database and used for color correction to be performed at a later time.

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