KR101572815B1 - Apparatus and method for converting image - Google Patents

Abstract

Disclosed are an apparatus and method for converting an image. The apparatus for converting the image according to the present invention includes a segmentation unit which segments image information into one or more first color model values, a storage unit which stores one or more color model values corresponding to one or more first color model values and one or more preset second color model values, and a conversion unit which converts the image information based on one or more third color model values.

Description

[0001] Apparatus and method for converting image [0002]

The present invention relates to an image conversion apparatus and method, and more particularly, it relates to an image conversion apparatus and method that reduces the capacity of a memory required by using a pre-computed image table without performing an operation process, And more particularly, to an image conversion apparatus and method that enables image conversion in real time in an embedded system.

In addition, the present invention can be applied to TV (Television), computer monitor, smart mirror, and the like by making it possible to convert not only a picture but also a moving picture. Linear Dodge, and Color Burn. In addition to Red-Green-Blue (RGB) values as color model values, Hue-Saturation-Brightness (HSB), Cyan-Magenta- Black) values, thereby broadening the versatility of the present invention.

2. Description of the Related Art In general, a video output device such as a color television receiver, a beam projector, and a color printer receives a color signal, demodulates it, and outputs the color signal through a display means (e.g., an LCD panel) The image is reproduced. However, since the color signal received by the video output device causes color distortion due to various factors, a color correction is required accordingly. Further, in the image output apparatus, a correction process due to a difference in color point of view may be partially required for each person to compensate for a lack of primary color.

In the conventional color correction method, color correction for adjusting color saturation, hue, and the like is performed after converting RGB (Red-Green-Blue) data into a color space , The color-corrected color space is converted into RGB data, or the result obtained by using an image for filter calculation is converted into RGB data.

However, such a conventional color correction method has a problem in that an image can not be converted in real time in an embedded system where an excessive memory capacity is required and a graphic acceleration function is not supported.

The present invention relates to an image conversion apparatus and method that complement a conventional technique by using a pre-computed image table without going through an arithmetic operation.

Korean Patent Publication No. 10-2014-0029025

It is an object of the present invention to reduce the memory capacity required by using a pre-computed image table without performing an arithmetic operation and to reduce the memory capacity required in an embedded system that does not support a graphic acceleration function, And to provide an image conversion apparatus and method capable of conversion.

It is also an object of the present invention to provide an image display device capable of converting not only a picture but also a moving picture into a television (TV), a computer monitor, a smart mirror, (Hue-Saturation-Brightness), CMYK (Cyan-Magenta-Blue) values as well as RGB (Red-Green-Blue) values as color model values. Yellow-Black ") value of the image, thereby broadening the versatility of the present invention.

According to an aspect of the present invention, there is provided an image conversion apparatus comprising: a decomposition unit decomposing image information into one or more image segment units; A storage unit for storing at least one first color model value of the at least one image segment unit and at least one third color model value corresponding to each of at least one second color model value set in advance; And a conversion unit for converting the image information based on the at least one third color model value.

The storage unit may store one or more third color model value tables obtained by calculating one or more first color model values of the at least one image segment unit and the predetermined one or more second color model values according to a predetermined method.

The predetermined method may be at least one of Soft Light, Linear Dodge, and Color Burn.

The one or more first color model values may be one or more of RGB values.

The one or more second color model values or the one or more third color model values may be RGB values of the same type as the one or more first color model values.

According to an embodiment of the present invention, there is provided an image conversion method comprising: decomposing image information into one or more image segment units; Storing one or more first color model values of the one or more image segmentation units and one or more third color model values corresponding to each of the predetermined one or more second color model values; And converting the image information based on the at least one third color model value.

Wherein the storing step stores at least one third color model value table obtained by calculating one or more first color model values of the at least one image segment unit and the predetermined one or more second color model values according to a predetermined method have.

The predetermined method may be at least one of Soft Light, Linear Dodge, and Color Burn.

The one or more first color model values may be one or more of RGB values.

The one or more second color model values or the one or more third color model values may be RGB values of the same type as the one or more first color model values.

According to an aspect of the present invention, an embedded system that does not support a graphic acceleration function reduces the capacity of a required memory by using a pre-computed image table without going through an operation process It is possible to provide an image conversion apparatus and method that enable image conversion in real time.

In addition, the present invention can be applied to TV (Television), computer monitor, smart mirror, and the like by making it possible to convert not only a picture but also a moving picture. Linear Dodge, and Color Burn. In addition to Red-Green-Blue (RGB) values as color model values, Hue-Saturation-Brightness (HSB), Cyan-Magenta- Black) values, it is possible to provide an image conversion apparatus and a method for broadening the versatility of the present invention.

1 is a schematic view illustrating an image conversion apparatus according to an embodiment of the present invention.
2 is a view showing a third color model value table corresponding to each of the first color model value and the second color model value according to an embodiment of the present invention.
3 is a flowchart for explaining an image conversion method according to an embodiment of the present invention.

The present invention will now be described in detail with reference to the accompanying drawings. Hereinafter, a repeated description, a known function that may obscure the gist of the present invention, and a detailed description of the configuration will be omitted. Embodiments of the present invention are provided to more fully describe the present invention to those skilled in the art. Accordingly, the shapes and sizes of the elements in the drawings and the like can be exaggerated for clarity.

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise.

Further, the term "part" in the description means a unit for processing one or more functions or operations, which may be implemented by hardware, software, or a combination of hardware and software.

1 is a schematic view of an image conversion apparatus 100 according to an embodiment of the present invention.

Referring to FIG. 1, an image transformation apparatus 100 according to an exemplary embodiment of the present invention may include a decomposition unit 110, a storage unit 120, and a transformation unit 130.

The image conversion apparatus 100 shown in FIG. 1 is according to one embodiment, and its components are not limited to the embodiment shown in FIG. 1, and some components may be added, have.

The decomposition unit 110 may decompose the image information into one or more image segment units.

Here, the image information may be a still image, a moving image, a photograph, and the like outputted on a screen such as a monitor, a TV, a smart mirror, and the like, but is not limited thereto.

A smart mirror is a digital mirror that displays various information and advertisements on a mirror.

The smart mirror, which is a structure that inserts the monitor on the back of the mirror, can create a unique atmosphere without greatly hurting the existing interior. Therefore, it is not only a bathroom, but also a hotel lobby, a department store, a playground, etc. In addition, it is possible to maximize the advertisement effect through various arrangements and screen configurations without any special admission, such as exposing all the advertisement to the front of the mirror or using only a part of the advertisement at a specific location.

In addition, the smart mirror can provide a 3D virtual fitting system that shows the appearance of a user wearing a garment on a mirror-like screen, automatically measures a user's body size using an infrared camera, The minute movements of the clothes can be realized in real time.

In the meantime, the smart mirror is a technology that has been spotlighted in all industrial fields, such as inserting a sensor for detecting a living body signal into a smart mirror, To convert the image information output from the image processing apparatus.

The image dividing unit refers to a unit in which image information is divided by a predetermined size and can be designated by a user or can be displayed on a display such as a pixel or a monitor as a unit for measuring the sharpness on the screen in a computer, ), And the like.

The reason for decomposing the image information into one or more image segment units is to more accurately convert image information in which various colors and shapes are mixed, and image quality can be improved as the number of image segment units per unit area is increased. For example, when the image division unit is a pixel, the higher the PPI (Pixel Per Inch), which means the number of pixels existing within 1 inch, the more the resolution is because the number of pixels to be represented is large. In addition, when the image segment unit is a dot, the higher the DPI (Dots Per Inch), which means the number of dots existing within an inch, the higher the resolution because the number of dots to be displayed is larger.

The storage unit 120 may store one or more first color model values 210 of one or more image segment units and one or more third color model values 230 corresponding to one or more second color model values 220 Can be stored.

The storage unit 120 may store one or more first color model values 210 of one or more image division units and one or more predetermined second color model values 220 A third color model value 230 table can be stored.

A color model is a means of representing colors in computer graphics or electronic publishing. In graphic arts and printing, colors are often assigned by the Pantone Matching System (PMS). In computer graphics, one of several color models can be used to describe and specify colors. Hue-Saturation-Brightness (HSB), Cyan-Magenta-Yellow-Black (CMYK) Blue) model. Here, the first color model value 210, the second color model value 220, and the third color model value 230 may be one or more of HSB, CMYK, and RGB models, and are not limited to any one specific color model Do not.

2 is a diagram showing a table of third color model values 230 corresponding to the first color model value 210 and the second color model value 220 according to an embodiment of the present invention.

Here, the first color model value 210 refers to a color model value of one or more image segmentation units of image information, which may be different for each image information, and the second color model value 220 has a predetermined value It may be different. For example, it may have a second color model value 220 different from a soft light filter and a hard light filter, respectively.

The third color model value 230 may be a color model value corresponding to the first color model value 210 and the second color model value 220. In one embodiment, And may be a result value obtained by calculating the two-color model value 220 according to a predetermined method. The predetermined method may differ depending on the effect to be implemented. For example, the soft light filter and the hard light filter may have different predetermined methods.

Conventionally, in order to convert an image, an operation process using an image for filter calculation is essential. Therefore, there is a limitation that it is impossible to implement in real time in an embedded system in which a large amount of memory is required for image conversion and the graphic acceleration function is not supported. In order to solve this problem, the present invention stores the previously calculated third color model value 230 in the storage unit 120 without performing an arithmetic operation, and can convert the image using the stored third color model value 230.

More specifically, if the color model value is an RGB value, the first color model value 210, the second color model value 220, and the third color model value 230 are respectively 0 to 255 And 256 * 256 = 65536 tables are required for each of R, G, and B, each occupying 64 Kbytes of memory capacity. Therefore, a memory capacity of 64 * 3 = 192 Kbytes per filter effect is required, which requires a smaller memory capacity than an image for filter operation.

In one embodiment, the predetermined method may be at least one of a soft light, a linear dodge, and a color burn.

A soft light is a ray that spreads to a subject and minimizes shadows. This is the daylight of a cloudy day, and it includes a ray of light which is a strong light source but which is filtered by a light diffusing filter. Artificial lighting refers to illumination that reflects light emitted by a fixture onto a white surface and diffuses the light at a uniform area over a large area. This ray suppresses the texture of the object, does not create sharp highlights, and makes the details of the shade visible. It also significantly reduces the strong contrast caused by surface curvature. It has the characteristic of wrapping a curve, so that it can smoothly express the curve when projected toward the side of the person. In order to make a soft light which does not make a shadow, the light source area must be wide, so there is a drawback that the efficiency of the light source is lowered because the light reaches the adjacent portion of the object to be illuminated. In contrast to a soft light, a light that clearly shows the outer part of a subject and produces a strong shadow is called a hard light.

When the predetermined method is a soft light, the third color model value can be calculated by the following equations (1) and (2). If the first color model value 210 is smaller than 128, the calculation is performed according to Equation 1. If the first color model value 210 is greater than or equal to 128, the calculation is performed according to Equation (2). Here, A is a first color model value 210, B is a second color model value 220, and C is a third color model value 230.

&Quot; (1) "

&Quot; (2) "

Linear Dodge is a synthesis that makes existing images brighter. When the predetermined method is Linear Dodge, the third color model value 230 can be calculated by Equation (3) below. Here, A is a first color model value 210, B is a second color model value 220, and C is a third color model value 230.

&Quot; (3) "

The color number refers to the color information of each channel and increases the contrast so that the basic color is darkened to reflect the mixed color. When mixed with white, the color does not change. If the second color model value 220 is 0, the third color model value 230 can be calculated by Equation (4) below. If the second color model value is not 0, The third color model value 230 can be calculated through Equation (5). Here, A is a first color model value 210, B is a second color model value 220, and C is a third color model value 230.

&Quot; (4) "

Equation (5)

In one embodiment, the one or more first color model values 210 may be one or more of the RGB values, and the one or more second color model values 220 or the one or more third color model values 230 may include one or more first color And may be an RGB value of the same type as the model value 210. [

If the first color model value 210 is an RGB value, the second color model value 220 and the third color model value 230 may be RGB values. More specifically, if the first color model value 210 is an R value The second color model value 220 and the third color model value 230 may also be R values.

3 is a flowchart for explaining an image conversion method according to an embodiment of the present invention.

Referring to FIG. 3, when the image transform method according to an embodiment of the present invention starts, image information is decomposed into image segment units (S310). The step S310 is a step that can be performed by the decomposing unit 110 illustrated in FIG. 1, and the description of the decomposing unit 110 is applied here, and therefore, a duplicate description will be omitted.

Then, the third color model value 230 is stored (S320). The step S320 is a step that can be performed in the storage unit 120 described with reference to FIG. 1. Since the description of the storage unit 120 is applied here, a duplicate description will be omitted.

Then, the image information is converted (S330). The step S330 is a step that can be performed by the converting unit 130 described in FIG. 1. Since the description of the converting unit 130 is applied here, a duplicated description will be omitted.

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 will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

100: image conversion device
110: decomposition unit
120:
130:

Claims (10)

A decomposition unit decomposing the image information into one or more image segment units;
Storing one or more first color model values of the at least one image segment unit and at least one third color model value corresponding to each of at least one second color model value that is set in advance, A storage unit for storing a third color model value table including the at least one third color model value obtained by calculating the second color model values according to a predetermined method; And
And a conversion unit for converting the image information based on the at least one third color model value included in the third color model value table. delete The method according to claim 1,
In the predetermined method,
Wherein the image data is at least one of a soft light, a linear dodge, and a color burn. The method according to claim 1,
Wherein the at least one first color model value is one or more of RGB values. 5. The method of claim 4,
Wherein the one or more second color model values or the one or more third color model values are RGB values of the same type as the one or more first color model values. Decomposing the image information into one or more image segmentation units;
Storing one or more first color model values of the at least one image segment unit and at least one third color model value corresponding to each of at least one second color model value that is set in advance, Storing the third color model value table including the at least one third color model value obtained by calculating the second color model value according to a predetermined method; And
And converting the image information based on the at least one third color model value included in the third color model value table. delete The method according to claim 6,
In the predetermined method,
Wherein the image is one or more of a soft light, a linear dodge, and a color burn. The method according to claim 6,
Wherein the at least one first color model value is one or more of RGB values. 10. The method of claim 9,
Wherein the one or more second color model values or the one or more third color model values are RGB values of the same type as the one or more first color model values.

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