• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.1235-1238
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• 1998

In television stereo system, to produce the sound image for spatial impression is too difficult because of the narrow distence between two speakers. A method of widening the sound image using precedence effect was introduced but it didn't work effectively in low frequency band. In this paper, we propose a new method to produce an expanded sound image in full band of audio requency in band sound is expanded by phase shifting method and a higher frequency band sound is expanded by reflection. In simulation and experiment, the proposed system guarantees useful effect of sound image expansion in television stereo system.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2459-2463
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• 2005

Optical coherence tomography (OCT) is high resolution medical imaging system which is obtaining image inside biological objects with non-destructive method. OCT system is based on Michelson interferometer with a reciprocating mirror in the reference arm and a biological object in the sample arm. The obtained OCT image suffers from a granular or mottled image, called speckle. Speckle is caused by random interferences between reflected coherence waves. In this paper, we propose effective speckle reduction method that uses wavelet transform. With wavelet domain image, sub-windowing and thresholding are performed. Finally, speckle reduction experiments for Misgurnus mizolepis skin and rat eye images are shown.

• 전자공학회논문지 IE
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• v.45 no.2
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• pp.20-27
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• 2008

In this paper, we propose a new image processing technique that reliably detects the various defects of TFT-LCD polarizing films. The image of polarizing film is acquisited from reflected laser beam First, we apply the morphological image processing technique to remove the background noise. Next, we use the 2-dimensional LMS adaptive filtering and statistical characteristics to detect the white and black defects. Performance of the proposed method is evaluated on real TFT-LCD polarizing film samples.

• Proceedings of the KAIS Fall Conference
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• 2006.05a
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• pp.209-213
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• 2006

In this paper describes image enhancement technique using deconvolution processing for ultrasonic nondestructive testing. . When flaws are detected for B-scan or C-scan, blurring effect which is caused by the moving intervals of transducer degrades the quality of images. In addition, acquisited images suffer form speckle noise which is caused by the ultrasonic components reflected from the grain boundary of material [1,2]. The deconvolution technique can restore sharp peak value or clean image from blurring signal or image. This processing is applied to C-scan image obtained from known specimen. Experimental results show that the deconvolution processing contributes to get improved the quality of C-scan images.

• Journal of Information Processing Systems
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• v.18 no.5
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• pp.701-710
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• 2022

With the development of artificial intelligence technology, various methods have been developed for recognizing objects in images using machine learning. Image segmentation is the most effective among these methods for recognizing objects within an image. Conventionally, image datasets of various classes are trained simultaneously. In situations where several classes require segmentation, all datasets have to be trained thoroughly. Such repeated training results in low training efficiency because most of the classes have already been trained. In addition, the number of classes that appear in the datasets affects training. Some classes appear in datasets in remarkably smaller numbers than others, and hence, the training errors will not be properly reflected when all the classes are trained simultaneously. Therefore, a new method that separates some classes from the dataset is proposed to improve efficiency during training. In addition, the accuracies of the conventional and proposed methods are compared.

• Journal of information and communication convergence engineering
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• v.8 no.5
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• pp.595-601
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• 2010

The strategy through visual sense is one of the ways that subject builds the outside world and communicates. The visual sense seems higher level of dependence than the other senses and contributes to intercommunication. For this reason, the desire of image dates back to primitive art and visual image(visual media and visual culture) has dialectically developed in the history of mankind. Visual subject, based on perspective of Renaissance, was moved from God to human beings. Andre Bazin's 'la genese automatique' through technical art has epochally changed the paradigm of visual art and visual culture. From primitive art to photo and film, the image, based on visual sense, has reflected human wish, appealed visual desire and led to evolution of image. In the late 20 century, without dialectical evolution of technology and culture, rapidly progressive digital image has changed social and cultural implication over rational strategy of production and distribution and it strengthened authority of image through visual approach of endless desire. The goal of this study is to analyze the value change of digital image developing a new Renaissance through production, reading, communication, and implication of evolution due to digitalized image, which has evolved as object and tool of desire.

• Journal of Fashion Business
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• v.8 no.5
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• pp.144-154
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• 2004

The purpose of this study is to consider the characteristics of character's body-image throughout the on-line games and with this study we researched the symbolic meaning reflected by the character's body-images throughout the fashion. The characteristics of the body-images presented in modern fashion is expressed in 4 features on Lineage II game. First, it adopts the ways in which modern fashion expresses the erotic image and represents various sexual stimulation, which can not be represented in the real world, in cyberspace. Second, it expresses the beauty and taste in sensitivity by exchanging the items, which are the features of body-image, each other as the neutral body-image and pursuits for the double side feature between males and females by dismantling the point of view to sex. Third, it shows the new value system different from the existing one by using extraordinary items and materials that you've never seen in real fashion as the abnormal body-image expressed in informal and inaccurate principal of deformation. Fourth, it show the body with the items which induces more interest and curiosity than the real world do as the humorous body-image accompanying with childish amusement and pleasure.

• Journal of the Korean housing association
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• v.20 no.2
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• pp.87-99
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• 2009

The brand is getting more important purchase factor in apartment market, so domestic construction companies have tried to differentiate it from others by creating the unique brand image. The purpose of this study was to investigate consistency of apartment brand image as a process which includes publicity, design and customer service and to analyze how using intergrated brand image affects brand preference and purchasing intention. To examine hypotheses, an empirical study using a survey questionnaire for residents living in 4 different brand apartments in Dongtan, Hwasung city was conducted. The collected data were treated with the SPSS Win Program 14.0. The study indicates that residents living in brand apartment generally preferred natural friendly image, high-class image and modern image to the others. And at first apartment brand images were created with image advertising on TV, catalog for sale and model house tour, but residents have most needs for customer service reflected in brand images. The study also has found that brand images in each process including publicity, design and customer service were not intergrated. However brand image intergration had positive effects on residential satisfaction and customer loyalty. The results of the study are expected to become the useful data in developing sustainable apartment brands and building effective marketing strategy of construction companies.

• Journal of the Korean Society of Costume
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• v.26
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• pp.101-121
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• 1995

The Purpose of this study was to investigate homology between the Popular music and Fashion of youthful subculture and how the image of popular music have influenced on the 90's fashion. As the result, Korean youthful subculture analized to be different from western youthful subculture. In western countries, the style of youthful subculture groups spread to tricle up as developed themselves but represented tricle down phenomenon in Korea. Because life con-dition of Korean Youthful was different from westerns in everything. The Image of popular music have an influenced on the 90's fashion, it is be classified into the Jazz image, the Country & Western image, the Rock image, and Hip-Hop, Ragge image. 1. The jazz image from Jazz music has come back dandism of the nostalgia mood and intro-duce ethnic sense into fashion. 2. The Country & Western image is reflected in fashion of accessories details, materials and Coordination item. 3. The rock image from Acid Rock and Punk Rock effected the advent of hippie mood fashion, ethnic, ecology, new unisex fashion and Punk fashion trend. 4. The hip-hop, raggae image from Rap and Raggae music showed on fashion of primitive mood's naturism, Sports wear's generalization and dualism. After the 90th, youthful fashion of new gener-ation may be infered constantly on the move toward $\ulcorner Fashion democracy \lrcorner$formation.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.4
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• pp.392-400
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• 2001

This paper proposes an illuminant estimation algorithm that estimates the spectral power distribution of an incident light source from a single image. The proposed illumination recovery procedure has two phases. First, the surface spectral reflectances are recovered in the maximum achromatic region (MAR) which is the most achromatic and highly bright region of an image after removing partially the effect of illumination using a modified gray world algorithm. Here, the surface reflectances of MAR are estimated using the principal component analysis method along with a set of given 1269 Munsell samples. Second, the Population of reflected lights is determined with 1269 Munsell samples and a set of illuminations then the spectral distribution of re(looted lights of MAR is selected from the spectral database. That is, color differences are compared between the reflected lights of the MAR and the spectral database, which is the set of reflected lights built by the given set of Munsell samples and illuminants. Then the closest colors from the spectral database are selected. Finally, the illuminant of an image can be calculated dividing the average spectral distributions of reflected lights of MAR by the average surface reflectances of the MAR. In order to evaluate the proposed algorithm, experiments with artificial scenes, which are exposed to chromatic illuminants, were performed and the spectral distribution of estimated illumination and color difference are compared with results of the conventional method.