KR101447820B1 - Image processing method and image processing system using the same - Google Patents

Abstract

An image processing method is provided. The image processing method, according to an embodiment of the present invention, comprises the steps of: storing a plurality of first images; extracting detailed information of the first images; indexing the detailed information to generate a data pool; obtaining detailed information of a second image; and detecting an optimal image which matches to the detailed information of the second image from the first images.

Description

TECHNICAL FIELD [0001] The present invention relates to an image processing method and an image processing system using the image processing method.

The present invention relates to an image processing system, and more particularly to image synthesis.

The photo has been in continuous development since the official announcement of photography in 1839. Thus, it has become an indispensable culture indispensable to our lives today.

As photography became a representative means of celebrating important moments of life, the field of portrait photography became more specialized and subdivided. Currently, family photographs, wedding photographs and baby photographs are expanding to form an independent market. The rapid changes in the values of economic growth and the nuclear family have had a profound impact on baby photographs.

The picture has grown rapidly since the 1990s thanks to the positive outlook for economic development and the angel industry. With the declining fertility rate, a social atmosphere has been created that spends no cash on babies, leading to an increase in the size of the photographic market. In addition, consumers are increasingly demanding to improve the quality of photographs and to take a variety of concept shots as consumers access information through the Internet. Photo studios have evolved to meet the diverse needs of consumers with a rapidly changing social atmosphere and have created their own diverse sets to satisfy their needs. As a result, the number of studios with a size of over 100 pyeong is rapidly increasing.

As the photo studio becomes more advanced and larger, the efforts of the studios such as the construction of the professional staff, the construction of the shooting equipment, and the production and management of the set have been made. In addition, studios are concentrated in large markets where there is a lot of demand for baby photographs, and competition for them is intensifying.

This situation is a great burden for not only the operator but also the preliminary founders, and in particular, it is becoming more difficult for the entrepreneur and nonprofessional to start the business. In addition, specialization and upgrading of photo studios led to price competition and price increase among studios, which led to a burden on consumers.

The present invention aims at research on successful start-up and efficient operation of small-scale studios for entrepreneurs and non-entrepreneurs by proposing a photographic technique and an efficient operation method that can reduce the start-up capital and operating costs and meet customer's needs.

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

In order to solve the above-mentioned technical problems, an image processing system according to an embodiment of the present invention includes a step of storing a plurality of first images, extracting photograph detailed information of the plurality of first images, Indexing the detailed information to generate a data pool, obtaining photo detail information of the second image, and detecting an optimal image from the plurality of first images that matches the photo detail information of the second image do.

According to the present invention as described above, the image processing method can minimize the cost to start-up capital and operation by reducing the size of sets and studios, reduce the investment cost for shooting by simplifying the shooting technique, .

In addition, by streamlining the imaging technology, you can reduce the cost of staffing.

Particularly, in the case of baby photographing, the proposed studio can maintain the condition of the baby since there is no movement between the shooting sets, and it is possible to prevent the difficulty of photographing due to the drop of the physical strength.

In addition, by shortening the overall shooting time, a good state can be maintained and the satisfaction of the customer can be increased.

In addition, it is possible to solve the difficulty of producing a set for a current photo studio through background synthesis through the image processing method of the present invention. That is, the present invention can build an image processing system that minimizes the influence of the season and the weather through the synthesis of the background.

In addition, through the operation of the proposed franchise shop, the founder can supplement the difficulties of independent sales and reduce marketing expenses by collectively marketing and marketing support from the head office.

1 to 4 are flowcharts of an image processing method according to embodiments of the present invention.
5 is a block diagram showing the configuration of an image processing system according to an embodiment of the present invention.
6 is a block diagram illustrating in greater detail the data flow of an image processing system in accordance with an embodiment of the present invention.
7 to 9 are views for explaining an image processing system according to another embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. The terms " comprises "and / or" comprising "used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element.

Hereinafter, an image processing system according to an embodiment of the present invention will be described with reference to the drawings. 1 to 4 are flowcharts of an image processing method according to an embodiment of the present invention.

1 and 2 illustrate an image processing method according to an embodiment of the present invention.

First, storing a plurality of first images (S110) and

Extracting detailed picture information of the plurality of first images (S120) and

A step S130 of generating a data pool by indexing the detailed picture information

A step S140 of obtaining detailed photo information of the second image

A step (S150) of detecting an optimal image matching the detailed photographic information of the second image from the plurality of first images;

Comparing the detected detailed image information of the first image with the detailed image information of the second image (S160); and

A step S170 of extracting different information among the detailed photograph information

(S180) correcting the second image based on comparison data of the extracted information

And combining the corrected second image and the first image (S190).

In more detail, in the step of storing a plurality of first images (S110), the background may be monochromatic to take a first image, and the background may be easily separated from the subject.

For example, if the first image is a background image for taking a baby image, the baby image may be taken in consideration of the baby image position, that is, the position of the baby to be synthesized. After selecting the baby position, a baby-sized bear doll can be used to predict the picture to be taken. After setting the composition, you can remove the teddy bear and shoot the background.

This location and shooting will allow the baby's picture to be synthesized to be predictable and create natural data of the composite background. For example, the background can be photographed with a derived average averaging value of f1.4, exposure time s1 / 160, and sensitivity of 250.

In step S120 of extracting the detailed information of the plurality of first images, the details of the photograph may be the above-mentioned sensitivity, exposure time, aperture, color temperature, lens information, background illuminance, casting degree,

In addition, the detailed picture information may be metadata. Metadata is attribute information, which is assigned to a content according to a certain rule in order to efficiently find and use the information found in a large amount of information. The metadata includes information on the location and content of the content, information on the creator, , Usage conditions, usage history, and the like can be recorded.

The detailed image information including such metadata may be indexed to create a data pool (S130).

In step S140 of acquiring the photograph information of the second image, if the first image is a background image, the second image may be a portrait image.

The second image may be suitable for capturing a variety of backgrounds, in which a desired portion can be separated so that the subject can be photographed and then transferred to another background.

As an example of the above min photographing, the min photographing set can be made of a coved wall. The camera can be proposed as a Canon 5D Mark 2, which is currently used in a photo studio, and a Canon 50mm f1.4 lens. have. In addition, the lighting required for shooting min photographs can be suggested as one Fomex D400 with one main lighting and two background lights. For example, the soft box for main lighting should be 80x100cm in size and the background lighting should be equipped with a diffuser 85cm umbrella . Reflectors can be used as auxiliary lights. In addition, the shooting pose can be divided into 50 days, 100 days, stone, junior, full term, and family according to the growth period. Costumes can be composed of natural casual clothes with bright colors by background synthesis / growth period. You can set the aperture value f4, shutter speed s1 / 125, sensitivity 100, and use the backlight 50W (1/8 illumination dial) and main illumination 25W (1/16 illumination dial).

For example, if the second image is a baby image for taking a baby image, first, the diaphragm can use an open diaphragm of f1.4 or f2.8 to focus attention on the baby. Second, the exposure time can be set to s1 / 125 or higher to record the baby 's instant expression and pose. Third, using natural light to make the background brighter and brighter, using the sensitivity of 250 or more, and fourth, it is possible to use a lot of lenses of 50 ~ 85mm which is good for showing a natural three-dimensional feeling. In this way, the background image of the proposed studio can be set to the aperture of f1.4, the exposure time of s1 / 160, and the sensitivity of 250 through the baby photo studio average shooting data.

An image having the best matching with the detailed image information of the second image among the plurality of first images can be detected (S150).

That is, the background image having the best matching is detected based on the detailed image information of the background image for synthesizing the baby image and the detailed image information of the baby image.

The detailed photo information of the first image and the detailed image information of the second image are compared (S160), and the detailed photo information different from each other can be extracted (S170).

The second image is corrected (S180) with the extracted comparison information, and the corrected second image and the first image are combined (S190).

As an example of a method of synthesizing the first image and the second image, an editing tool such as Photoshop, Illustrator, or the like may be used and the synthesis process may be automated.

For example, when an operator manually composes an image using a computer tool, a method of editing using Photoshop will be described as an example.

First, you can run a Photoshop program to import baby pictures and background pictures for compositing.

Second, select a white background using the Magic Bong tool for the white background part of the baby photo. You can select Add to selection from the magic bar tool's option bar and set Tolerance to the default value of 32. You can arrange all the backgrounds as a selection area. You can use the Inverse menu in the Edit menu to make a baby image a selection. In case of telegraphic photographs, the shadows produced at the time of shooting should be taken separately from the background to allow natural synthesis. If the shadow can not be separated, the shadow can be made to match the direction of light after synthesis to induce natural synthesis.

Third, you can drag the baby photo to the background photo to be synthesized.

Fourth, you can adjust the size of background and baby pictures and specify baby position. Fifth, you can use the Curve to calibrate the background color and brightness of your baby equally. Sixth, blur is used to blur the perimeter of the baby to create a natural depth with the background.

Finally, you can complete the photo composition task by saving the photo.

3 to 4 show another embodiment of the image processing method of the present invention.

First, the steps S210 and S212 of acquiring detailed photo information of the first image

Acquiring detailed photo information of the second image (S220) and

Comparing the detailed image information of the first image with the detailed image information of the second image (S230)

A step S240 of extracting different pieces of information among the photograph detailed information

A step (S250) of correcting the second image based on the comparison data of the extracted information

And synthesizing the corrected second image and the first image to generate a final image (S260).

The steps up to the step of comparing the detailed information of the first image with the detailed information of the second image are the same as those of the previous embodiment, and different information is extracted based on the extracted information (S240), and the first image and the second image are matched The second image can be corrected based on the second image. The first image may be a background image, and the second image may be a portrait image.

Subsequently, the second image may be corrected based on the comparison data of the extracted information (S250). For example, if the exposure value or the brightness value of the first image to be synthesized is different, the completion of the final image after synthesis may be lowered, so that the exposure value or the brightness value of the second image is corrected in advance You can go through the process.

The image combining method according to the present embodiment may further include detecting an outline portion of the synthesized second image and editing the outline portion of the second image in the synthesized final image. For example, the editing of the outline portion may include adding a three-dimensional effect by forming a shadow along the outline of the second image. However, the present invention is not limited to this, and includes all the operations for improving the integrity with the first image can do.

In other words, the work to make the synthesized image appear more natural is added as follows.

First, the photograph detailed information of the second image before synthesis is received and compared with the detailed image information of the finally synthesized final image, thereby making a more natural image.

At this time, the final image is corrected by comparing the illuminance, the reflected light amount, and the outline among the detailed image information of the second image.

For example, even in the case of human and object contours, if the skin color of a person or the color of the clothes and the background color are similar, the shape of the contour line may be damaged. In this case, contours of people / objects can be extracted with the utmost precision based on prior knowledge such as surrounding edge information, color information, human form, and position.

Once the contours are extracted, they store the shapes of the extracted persons and objects. At this time, various poses are taken so that the background does not overlap on the same background, and a method of photographing is repeated, so that a photograph of various poses for a person and an object can be generated.

FIG. 5 is a block diagram illustrating a configuration of an image processing system according to an embodiment of the present invention, and FIG. 6 is a block diagram illustrating a data flow of an image processing system according to an embodiment of the present invention in more detail.

5 to 6, the image processing system may include a first server 100, a first client 500, and a second server 200.

The first server 100 may manage a plurality of first images and detailed photo information.

The plurality of first images may be a background image, an image obtained by graphically representing the shape of a frame or a window, or an image of a sea, a mountain, or a famous sightseeing spot, but is not limited thereto.

Further, it is preferable that the image is variously included in the photographing place, subject, and time. For example, different images for winter and summer, images for daytime or nighttime, etc., and widen the selection range of the first client 500, which will be described later.

The detailed photograph information may be the sensitivity, the exposure time, the aperture, the color temperature, the lens information, the background illuminance, the casting degree, and the reflected light amount of the plurality of first images.

The first server provides the first client with a plurality of first images and detailed information of the plurality of first images.

The first client 500 generates and manages the second image based on the detailed photograph information received from the first server 100.

The first client 500 also receives and displays the plurality of first images from the first server 100, and selects the selected first images.

Here, the second image is an image to be synthesized with the first image, and more specifically, a portrait image may correspond to the second image.

The first client 500 may be a portable device or a camera device including a camera module, and may include a location information module.

The second server 200 extracts image data of the first image selected from the first client 500 and extracts the second image generated from the first client 500 to generate a composite image.

The second server 200 also transmits the combined image to the first client 500 and the first server 100.

The first client 500 and the second server 600 may be physically spaced apart.

As an example of the composition of baby photographs, I take a variety of photographs of the background.

When taking a background picture, take a picture in consideration of the baby photographing position, that is, the position of the baby to be synthesized. After selecting the baby position, place a baby-sized bear doll and predict the picture to be taken. After setting the composition, remove the teddy bear and shoot the background.

By selecting and taking a position like this, the baby's picture to be synthesized is predictable and the natural data of the background picture can be created. The generated data can constitute detailed image information.

The detailed image information may be sensitivity, exposure time, aperture, color temperature, lens information, background illuminance, casting degree, reflected light intensity, and the like. In addition, the detailed picture information may be metadata.

The metadata may be data that is attached to the contents according to a certain rule in order to efficiently find and use the information found in a large amount of information as attribute information.

In the metadata, the location and content of the content, the information on the creator, the rights condition, the use condition, the usage history, and the like can be recorded.

The background image and the background image may be provided to the first client, for example, the apparatus including the location information module and the camera module. Through this device, the user can receive and select background pictures.

The first client 500 may generate a first image, e.g., a baby photo, based on the detailed information of the selected background photo. And a second server 200 for compositing the generated baby photo with the background photo selected in the above.

At this time, the first server 100, the second server 200, and the first client 500 may be physically spaced apart from each other.

7 is a block diagram for explaining an image synthesis system according to another embodiment of the present invention.

Referring to FIG. 7, the image processing system may include a first server 100, a first client 500, and a second server 200.

The first server 100 may manage a plurality of first images and detailed photo information.

The plurality of first images may be background images, images obtained by graphically representing the shape of a frame or a window, or images such as sea, mountains, and famous sightseeing spots, but the present invention is not limited thereto.

Further, it is preferable that the image is variously included in the photographing place, subject, and time. For example, different images for winter and summer, or images for daytime or nighttime.

The detailed photograph information may be the sensitivity, the exposure time, the aperture, the color temperature, the lens information, the background illuminance, the casting degree, and the reflected light amount of the plurality of first images.

The first server 100 provides the second server 200 with detailed information of the plurality of first images and the plurality of first images.

The first client 500 may generate a second image and provide the second image to the second server 200.

Here, the second image is an image to be synthesized with the first image, and more specifically, a portrait image may correspond to the second image.

The second server 200 receiving the first image from the first server 100 and the second image from the first client 500 may receive the first image and the second image from the first server 100, And the second image is finally synthesized to generate a composite image.

The second server 200 can transmit the generated composite image to the first client as shown in FIG.

Although the first server 100 and the second server 200 have been described as being separated from each other, the present invention is not limited thereto, and the first server 100 and the second server 200 may have a single configuration .

9 shows an image processing system according to another embodiment of the present invention.

Referring to FIG. 9, the image processing system includes a first server 100, a second server 200, a first client 500, and a second client 600.

Transmits detailed image information from the first server 100 to the first client 500, and transmits the first image to the second server 200.

The first client 500 photographs and creates a second person image.

The first client 500 may be a portable device including a camera module, and may include a location information module.

And transmits the second person image generated by the first client 500 to the second client 600 for batch management.

And transmits the second person image from the second client 600 to the second server 200.

The second server 200 combines the first image provided from the first server 100 and the second person image provided from the second client 600 to generate a composite image.

The first client 100 further includes a second client 600 that generates and manages a second person image based on detailed photo information received from the first server 100, 500 and the second client 600 may be physically spaced apart from each other.

The second server 200 generates the composite image based on the first image and the second person image.

The first client 500 and the second server 600 are physically spaced apart and the first client 500 may be a portable device including a camera module and may include a location information module.

Also, the second server 200 selects an associated first image among the plurality of first images based on the position information of the first client 500, and the second server 200 analyzes the subject of the second image, Extract information, and select an associated first image of the plurality of first images based on the subject information. The subject information may include the age, skin, and posture of the subject.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

100: first server
200: second server
500: first client
600: second client

Claims (24)

Storing a plurality of background images;
Extracting detailed picture information of the plurality of background images;
Indexing the photo detail information to generate a data pool;
Acquiring detailed photo information of a portrait image;
Detecting an optimal image that matches the photo detail information of the portrait image from the plurality of background images;
Comparing the detailed image information of the detected background image with the detailed image information of the portrait image;
Extracting different comparison information from the detailed picture information;
Correcting the person image based on the comparison information; And
Synthesizing the corrected person image and the background image
Lt; / RTI >
Wherein the photograph detailed information is at least one of a sensitivity, an exposure time, an aperture, a color temperature, lens information, a background illuminance, a casting degree, and a reflected light amount. delete delete delete delete The method according to claim 1,
Wherein the photograph detailed information further includes meta data. Acquiring detailed photo information of the background image;
Acquiring detailed photo information of a portrait image;
Comparing the background image with detailed photo information of the portrait image;
Extracting different comparison information from the detailed picture information;
Correcting the person image based on the comparison information; And
Synthesizing the corrected person image and the background image to generate a final image
Lt; / RTI >
Wherein the photograph detailed information is at least one of a sensitivity, an exposure time, an aperture, a color temperature, lens information, a background illuminance, a casting degree, and a reflected light amount. delete delete delete 8. The method of claim 7,
Detecting an outline portion of the synthesized figure image, and editing the outline portion of the figure image in the synthesized final image. 8. The method of claim 7,
Wherein the photograph detailed information further includes metadata. A first server for managing a plurality of background images and detailed photo information of the plurality of background images;
A first client for generating and managing a portrait image based on the detailed photograph information received from the first server;
And a second server for extracting image data of one of the portrait image and the background images received from the first client to generate a composite image,
Wherein the photograph detailed information is at least one of a sensitivity, an exposure time, an aperture, a color temperature, lens information, a background illuminance, a casting degree, and a reflected light quantity. 14. The method of claim 13,
Wherein the first client receives and displays the plurality of background images from the first server. 15. The method of claim 14,
Wherein the second server extracts the image data for one background image selected by the first client from the plurality of background images. 14. The method of claim 13,
And the second server sends the composite image to the first client. 14. The method of claim 13,
And a second client for managing the portrait image generated by the first client based on the detailed photograph information received from the first server,
Wherein the first client and the second client are physically spaced apart. 18. The method of claim 17,
And the second server generates the composite image based on the background image and the portrait image. 14. The method of claim 13,
Wherein the first client and the second server are physically spaced apart. 14. The method of claim 13,
Wherein the first client is a portable device comprising a camera module. 14. The method of claim 13,
Wherein the first client comprises a location information module for extracting location information. 22. The method of claim 21,
Wherein the second server selects an associated background image of the plurality of background images based on the location information of the first client. 14. The method of claim 13,
Wherein the second server analyzes the subject of the portrait image to extract subject information and selects an associated background image of the plurality of background images based on the subject information. 24. The method of claim 23,
Wherein the subject information includes an age, a skin, and an attitude of the subject.

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