• Journal of Digital Convergence
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• v.5 no.2
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• pp.155-165
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• 2007

The meaning of images are changed rapidly by a time, and the images' social function and skills are different by times. Nowadays, the reasons to have different meanings of images are the different ways of representation and reproduction of images by new digital technologies. However, the images are communicating with each other, and the image makers should have responsibility to represent the images. Also, the images should be concerned in social, cultural context, and focused on positive ways to represent. It is hard to predict the future of images, but people shouldn't be controled by manipulated digital images. Therefore, image makers need to have right ethics and morals in digital era not to be controled by commercial enterprises.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.43-49
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• 2018

In this paper, we propose a displacement measurement method based on deep learning using image data obtained from tensile tests of a material specimen. We focus on the fact that the sequential images during the tension are generated and the displacement of the specimen is represented in the image data. So, we designed sample generation model which makes sequential images of specimen. The behavior of generated images are similar to the real specimen images under tensile force. Using generated images, we trained and validated our model. In the deep neural network, sequential images are assigned to a multi-channel input to train the network. The multi-channel images are composed of sequential images obtained along the time domain. As a result, the neural network learns the temporal information as the images express the correlation with each other along the time domain. In order to verify the proposed method, we conducted experiments by comparing the deformation measuring performance of the neural network changing the displacement range of images.

• Journal of the Korean Home Economics Association
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• v.36 no.12
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• pp.105-114
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• 1998

The objectives of this study were to classify the contents of clothing image preferences, and to examine how clothing image preferences vary according to extroversion-introversion, gender, and age. Subjects for the study were 627 men and women ranging in ages from teens to forties in Kwangju City, Korea. The results of the study were as follows; 1) Four factors of clothing image preference derived by factor analysis : F. 1 'peculiar image' ; F. 2 'noble image' ; F. 3 'bright image' ; F. 4 'sprightly imagel'. 2) The interaction between extroversion-introversion groups and gender groups was significant for sprigtly images. The men of extroversion group tended to prefer gentle images, while the women of extroversion group preferred sprightly images. 3) The women liked sprightly images more than the men, the liked gentle images more. Women in their 20's liked sprightly image most, but as they grew older they tended to prefer gentle images. 4) The extroversion groups liked peculiar images more than the introversion groups. Teens liked peculiar image more than the others, subjects in their 30's and 40's preferred commonplace images. 5) The extroversion groups liked noble images more than the introversion groups. Women in their 30's and 40's liked popular images more than female subjects in their teens and twenties. Women in their teens and twenties liked popular images more than did the men in the same age group. 6) The extroversion groups liked bright images more than the introversion groups. Men in their teens and 20's liked bright images more than did men in their 30's and 40's. This finding suggests that women liked sprightly and noble clothing images, and men liked commonplace and gentle images. As they grew older, they tended to like commonplace, popular, and gentle clothing images. The extroversion groups liked peculiar, noble, and bright images more than did the introversion groups. The results of this study mean that personality traits such as extroversion-introversion are characteristics that affect clothing preferences, and it is possible to infer people's personality by their attire.

• Imaging Science in Dentistry
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• v.33 no.4
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• pp.199-205
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• 2003

Purpose: To compare the visibility of the mandibular canal at the different radiographic methods such as conventional panoramic radiographs, Vimplant multi planar reformatting (MPR)-CT panoramic images, Vimplant MPR-CT paraxial images and film-based DentaScan MPR-CT images. Materials and Methods: Data of 11 mandibular dental implant patients, who had been planned treatment utilizing both panoramic and MPR-CT examination with DentaScan software (GE Medical systems, Milwaukee, USA), were used in this study. The archived axial CT data stored on CD-R discs were transferred to a personal computer with 17' LCD monitor. Paraxial and panoramic images were reconstructed using Vimplant software (CyberMed Inc., Seoul, Korea). Conventional panoramic radiographs, monitor-based Vimplant MPR-CT panoramic images, monitor-based Vimplant MPR-CT paraxial images, and film-based DentaScan MPR-CT images were evaluated for visibility of the mandibular canal at the mental foramen, 1 cm, 2 cm, and 3 cm posterior to mental foramen using the 4-point grading score. Results: Vimplant MPR-CT panoramic, paraxial, and DentaScan MPR-CT images revealed significantly clearer images than conventional panoramic radiographs. Particularly at the region 1 em posterior to mental foramen, conventional panoramic radiographs showed a markedly lower percentage of 'excellent' mandibular canal images than images produced by other modalites. Vimplant MPR-CT and DentaScan MPR-CT images did not show significant difference in visibility of the mandibular canal. Conclusion: The study results show that Vimplant and DentaScan MPR-CT imaging systems offer significantly better images of the mandibular canal than conventional panoramic radiograph.

• Journal of the Korean Society of Costume
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• v.60 no.7
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• pp.61-73
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• 2010

This study aims to develop an fashion color design system based on personal color and sensorial images. This web-based system has a parallel structure which a user can search her own personal color, sensorial, and fashion images. The fashion image was presented according to the type of personal color image and sensorial image: futuristic fashion image from alluring image on all of personal color images; elegant fashion images from calm with pure/splendid images or faint/calm with alluring images; modern fashion image from pure/calm with alluring images or faint with lively images; plain fashion image from plain images with all personal color images but pure image; romantic fashion image from calm image with all personal color images but calm image. Fashion color and color combination palettes based on personal color images were presented with the each of those fashion images.

• Korean Institute of Interior Design Journal
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• v.13 no.4
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• pp.12-20
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• 2004

The purposes of this study were to identify styles of contemporary interior design, construct their images, and find out the relation of the identified styles to the structure images. Content analysis was used as the main method of this study, and the focus of the analysis was on a typological approach. Two hundred interior design photos were drawn from five different interior design magazines published in the past ten years, and ,they were analyzed by interior design professionals. Contemporary interior design was classified into ten styles: romantic, ethnic, classical, high tech, elegant, country, modern, minimal, natural, and causal. Given the ten styles, five images of interior design were identified - simple, comfortable, rustic, classical, and delightful. With regard to the relationships between 10 styles and 5 images of interior design, the this study found that the romantic style was related to the images of rustic and classical, the ethnic style to the images of comfortable, classical, and delightful, the classical style to the image of classical, the high tech style to the images of classical and rustic, the elegant style to the images of simple and classical, the country style to the images of comfortable and rustic, the modern style to the images of simple and delightful, the minimal style to the image of comfortable, the natural style to the images of comfortable and delightful, and the causal style to the images of comfortable and delightful.

• The Korean Journal of Community Living Science
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• v.19 no.3
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• pp.431-444
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• 2008

Today people obtain much information about appearances through movies. The stars' body images in movies have been created through total fashion as they play the roles of an ideal model to create actual body images. This study examined the relations between the body images in the film media in terms of appearances or total fashion and actual body images based on the simulation theory by Jean Baudrillard. It conducted a literature study by collecting and analyzing film media-related picture images from books, papers, periodicals and the Internet home and abroad. The research scope was limited to the stars who made appearances in movies and the ones who starred in movies in addition to their other lines of work. As a result, the following conclusions were drawn; the stars' body images went hyperreal between their actual body images and the ones of their roles in movies and then were simulated in fashion. To be specific, 1. the stars' actual body images went hyperreal and were simulated in fashion in the following cases; 1) the stars in the heyday of film; 2) fashionistas; and 3) pictures taken by paparazzi. 2. The body images of their roles went hyperreal in the following cases; 1) through brand participation; 2) through changed body images; and 3) through cyber body images. Their body images became hyperreal and were simulated in fashion by the input of fashion designers and the techniques of other areas. The body images in film are the object of desire to the audience. They go hyperreal and become the ideal body image to real people. The various kinds of hyperreal images in the film media create new beauty as a reference and object of comparison for people to change their body images in reality.

• Journal of Electrical Engineering and Technology
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• v.10 no.2
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• pp.659-669
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• 2015

Face Recognition assumes much significance in the context of security based application. Normally, high resolution images offer more details about the image and recognizing a face from a reasonably high resolution image would be easier when compared to recognizing images from very low resolution images. This paper addresses the problem of recognizing faces from a very low resolution image whose size is as low as $8{\times}8$. With the use of CCTV(Closed Circuit Television) and with other surveillance camera-based application for security purposes, the need to overcome the shortcomings with very low resolution images has been on the rise. The present day face recognition algorithms could not provide adequate performance when employed to recognize images from VLR images. Existing methods use super-resolution (SR) methods and Relation Based Super Resolution methods to construct from very low resolution images. This paper uses a learning based super resolution method to extract and construct images from very low resolution images. Experimental results show that the proposed SR algorithm based on relationship learning outperforms the existing algorithms in public face databases.

• International Journal of Contents
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• v.11 no.3
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• pp.39-46
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• 2015

When host images are watermarked with CRT (Chinese Remainder Theorem), the watermark images are still robust in spite of the damage of the host images by maintaining the remainders in an unchanged state within some range of the changes that are incurred by the attacks. This advantage can also be attained by "zero-watermarking," which does not change the host images in any way. This paper proposes an improved zero-watermarking scheme for color images on the DCT (Discrete Cosine Transform) domain that is based on the CRT. In the scheme, RGB images are converted into YCbCr images, and one channel is used for the DCT transformation. A key is then computed from the DC and three low-frequency AC values of each DCT block using the CRT. The key finally becomes the watermark key after it is combined four times with a scrambled watermark image. When watermark images are extracted, each bit is determined by majority voting. This scheme shows that watermark images are robust against a number of common attacks such as sharpening, blurring, JPEG lossy compression, and cropping.

• Journal of the Korean Society of Costume
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• v.58 no.10
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• pp.21-36
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• 2008

This study intended to analyze the morphological characteristics and images of figure skating costume designs in order to grope the figure skating costume designs that can effectively demonstrate beauty in actual competitions. The study was implemented on the figure skating costumes of Ladies medalists in 4 largest international competitions held in 2005. The morphological elements of the costumes for Ladies include lines and colors, textures, details and accessories and these are used in designing for visual effects of movements and for maximum expressions of program images. The images that account for the largest percentage of Ladies figure skating costumes were shown to be elegant images followed by sexy images, luxury images and girlish images in the order of precedence. Overwhelmingly many refined and sexy images were presented in 2005 season and in 2006 season appeared along with them, many costumes with individual and gorgeous images. In 2007 season appeared many costumes with matured and exotic images and in 2008 began to appear many refined and elegant costumes. The images of costumes show slight differences among players enabling the taste of each player for figure skating costumes to be guessed.