• International Journal of Internet, Broadcasting and Communication
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• v.7 no.1
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• pp.36-41
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• 2015

This paper is proposed a wavelet-based MCDT(Mask Coefficient Differential and Threshold) method of image registration of Multi-images contaminated with visible image and infrared image. The method for ensure reliability of the image registration is to the increase statistical corelation as getting the common feature points between two images. The method of threshold the wavelet coefficients using derivatives of the wavelet coefficients of the detail subbands was proposed to effectively registration images with distortion. And it can define that the edge map. Particularly, in order to increase statistical corelation the method of the normalized mutual information. as similarity measure common feature between two images was selected. The proposed method is totally verified by comparing with the several other multi-image and the proposed image registration.

• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.3
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• pp.367-379
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• 1993

The objectives of this study were to classify the contents of clothing image preferences of Korean and American students, and to examine how clothing image preferences vary according to sex role identity, sex, and culture. A woman's clothing image preference inventory and the Bem Sex Role Inventory were administered to 127 Korean students and 116 American students. Sex role idendity was classified into androgynous, masculine, feminine, and undifferentiated type. 1. Four segments of woman's clothing image preference derived by factor analysis : F. 1 'splendid-plain' ; F. 2 'feminine-masculine' ; F. 3 'casual-formal' ; F. 4 'classic-contemporary'. 2. Americans prefered splendid image more than did Koreans. Androgynous-typed males liked splendid image most among American male subjects. 3. There was interaction effect between sex and culture on feminine-masculine image preference. In Korean students, males liked feminine image much more than did females. Masculine-typed females liked masculine image most among American female subjects. 4. Koreans prefered casual image more than did Americans. 5. There was interaction effect between sex role identity, sex, and culture($4{\times}2{\times}2$) on classic-contemporary image preference. Feminine-typed females liked classic image most among Korean female subjects. 6. Korean males especially prefered luxurious image least. Korean females contemporary most, American males sexy most, American females fashionable most among four subject groups. That is, differences on clothing image preferences were found according to sex role identity, sex, and culture.

• The Research Journal of the Costume Culture
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• v.11 no.2
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• pp.293-319
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• 2003

Retro, one of these fusion styles, was found in various pattern in fashion. Recent fashion trend shows coexistence with variety which cannot be represent by one or two themes, and introduces various images in a season. Therefore, this study was found three fusion image of Retro pattern which has appeared since 1990; Romantic, Ethnic, and Hippie-look. shown in VOGUE, BAZZAR and etc. 1, Romantic image overcame the exaggerated style of 18th century and expressed in a volume gown, a tight dress of high-waist, and bustier. In addition, beads or sequin became more brilliant and gorgeous which decorated the whole clothing. 2. Ethnic image was expressed with fusion of particular traits from all of the world such as Japan, China, India, South America, Greece, and Africa. 3. Hippie-look image has been shown in slim & long silhouette style, and fusion styles of romantic factors or ethnic factors were also found. Retro as one of the phenomenon of fusion was found in romantic image, ethnic image and hippie-look Image.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.127-134
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• 2023

Existing studies on this topic have focused on the effect of online content quality on consumer attitudes and behavior, with very few illustrating the effect of influencer image on consumer attitudes and behavior. The purpose of this study intents to reveal how influencer image affect consumer behavior. We have developed an image transfer theory-based research model to reveal how influencers transfer their image to endorsed products to influence consumer behavior. The results show that influencer image positively affects satisfaction, which in turn affects the product's cognitive and affective images in the vlog. Moreover, it was found that a product's cognitive image and affective image influence consumer behavior intention. Furthermore, purchase experience exhibits significant differences in its path. Based on these results, the social media-related research theoretical implication will be offered, and managerial implications will be provided for foreign brand promotion strategies

• Journal of the Semiconductor & Display Technology
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• v.10 no.3
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• pp.89-94
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• 2011

The image identification methodology associates an image with a unique identifiable representation. Whenever the methodology regenerates an identifier for the same image, moreover, the newly created identifier needs to be consistent in terms of representation value. In this paper, we discuss a methodology for image identifier generation utilizing luminance correlation. We furthermore propose a method for performance enhancement of the image identifier generation. We also demonstrate the experimental evaluations for uniqueness and similarity analysis and performance improvement that have shown favorable results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.9
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• pp.2317-2327
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• 1996

Original binary image can be reconstructed without any distortion by MS(morphological skeleton) image. Though we reduce some points in a MS image, there is no problem to reconstruct original image by it. And then, there are two methods of LMS and GMS which reduce the redundant points of a MS image. The redundancy degree of a GMS image is zero and it is less than that of LMS. And then, GMS image is the best thing of the three kinds of morphological skeleton image to enhance the compression efficienty by the Elias code. But there are continous SKF=1 points in a GMS image whenever using 2 dimensional structureing element. Those points in a GMS image gives rise to a bad compression efficiency. And then, solving this problem, this paper proposes hybrid structuring elements algorithms for binary image compression.

• The Research Journal of the Costume Culture
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• v.6 no.3
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• pp.88-99
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• 1998

Image of Modern Art & Fashion are created on the whole in daily life. Image itself is not simple. There is no more distinction between content & form through mutual crossing for intellectual thinking. Specially, image of reproduction circumstance too many mixtual and compromise (collage) are continued to occur. They could pursuit to change their image through the more increase of impulse, exception and popular experience. In this thesis, I studied about image of Modern fashion & Art. In the modern art, visual image showed as anti-beauty and combination of cultural system. It has shown in the theory of Fred Davis and through fashion brand advertising image as follows; Youth vs maturity (ageless image), male s female and androgynous vs unisexuality (genderless image), colligation vs monopoly (street mode image). As a results, the modern trend image are showing the value of the ambivalence. It can be said that he anti-beauty which are occasionally showed in ambivalence has shown a tendency toward another tradition (feminity) through giving an impulse and paradox.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.1
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• pp.100-110
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• 2003

The purpose of this study were 1) to find out the structural elements in classifying clothes images, and 2) to segment the consumer market for women's street clothes based on clothes image preferences and to identify the group differences in psychological variables, purchasing behavior variables and demographic variables. The sample was taken from 1106 middle class women who were in thier 30's∼40's living in Gwangju city. Consumers were classified into six groups: active image group (35.4%), feminine image group (25.9%). daring image group (16.5%), elegant image group (10.8%), dressy image group (8.9%) and brisk image group (3.5%). Women in their 30's∼40's preferred elegant image, daring image, active image and feminine image. Elegant image oriented group: This group is the lowest education level group and has the highest rating of housewife. This group has the lowest scores use of person information search, Daring image oriented group: Woman in their 30's prefers daring image. This group thinks practical benefit sought is less important than self-expression benefit sought. This group has the highest scores use of non-person information search, Active image oriented group: This group is practical benefit seeking group. and purchases the lowest amount of clothes. The amount of average household income is the lowest. Feminine image oriented group: The amount of average household income is the highest. This group perceives more youth$.$fashion benefit sought and self-expression benefit sought than elegant image oriented group. ANOVA, $\chi$$^2$-test revealed differences among groups according to benefit sought use of information sources, purchasing behavior variables and demographic variables.

• Journal of Fashion Business
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• v.17 no.2
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• pp.164-178
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• 2013

The purpose of this study is to verify effects of female college students' self-image on appearance management behavior and investigate the differences caused by TV involvement and entertainer imitation on the appearance managing behavior. Respondents of the survey were 424 college females living in Seoul and Gyeonggi province. For statistical analysis, factor analysis and multiple regression were conducted using SPSS 18.0 program. The results of this study are as follows: First, self-image among college females were composed of 5 factors, which were active image, feminine image, intelligent image, gentle image and modern image. Second, college females' self-image influenced on skin management behavior, hair management behavior, make-up behavior, clothing behavior and weight management behavior significantly. Specifically, as respondents' active image and modern image are getting higher, they tend to perform skin management behavior, hair management behavior and clothing behavior. As female students' intellectual image and modern image were getting higher, more positive effects were found on make-up behavior. As female students' gentle image and active image were getting higher, there was more positive effects on weight management behavior. But, female students' self-image didn't show significant effects on cosmetic surgery behavior. Third, when subjects' TV involvement was high, self-image made greater effect on skin management behavior and cosmetic surgery behavior than those with low TV involvement. Forth, when entertainer imitation was high, self-image made greater effects on skin management behavior, hair management behavior, clothing behavior, make-up behavior, weight management behavior, cosmetic surgery behavior than those with low entertainer management.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.2
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• pp.162-171
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• 1991

This paper presents an algorithm for compressing image data by separating the image into two parts. I.e. edge image containing high-frequency components and non-edge image containing low-frequency components of image. The edge image is extracted by using 8 level compass gradient masks and the non-edge image is obtained by removing the edge image from the original image. The edge image is coded by Huffman run-length code and the non edge image is transformed first by DCT and the transformed images is coded next by a quantized bit allocation table. For an example image. GIRL. the proposed algorithm shows bit rate of 0.52 bpp with PSNR of 36dB.