• Journal of the Korea Safety Management & Science
• /
• v.13 no.3
• /
• pp.169-174
• /
• 2011

The purpose of this study was to clarify the impact of national and corporate brand image of Korea on chinese consumers' purchasing Intention, also the impact of China on korean consumers' purchasing Intention. And the second aim of the research is to provide Korean businessmen who are interested in chinese market with information about chinese consumers' purchasing behaviour. Data from 205 chinese and korean consumers were analysed. As the result of analyses, it was found that Korean country image positive affects corporate brand image(samsung) and Chinese country image negative affects corporate brand image(haier) and product image. Korean corporate brand image only affects product image on chinese consumers. The product image affects Korean and Chinese consumer's purchasing intention.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.23 no.2
• /
• pp.296-306
• /
• 1999

This study reflects the aim of analyzing the fashion design connection with ecology. Ecology has been linked to human life through its changing relations with environment. In order to recover eco-system ecology-nature oriented methodology and technology oriented approach will suffice. On the modern design field Green design Recycling and Green marketing resulted in increasing rates of environment-friendly production and an effort to deliver environment-friendly corporate image. Based on above research ecological image on fashion design during the year 1990 to 1995 represents the following conclusion. In the fashion design field natural image primitive image nature -harmonious image material-recyling image culture-recycling image are proposed. In the technology field clean image and high-tech image are proposed. In the marketing field happy image harmonious image serious image and realistic image are proposed.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.19 no.3
• /
• pp.288-293
• /
• 2016

Electronic Image Stabilization(EIS) is widely used as a technique for correcting a shake of an image. The case requiring the EIS function has been increased in high magnification thermal image observation on portable military equipment. Projection Algorithm(PA) for EIS is easy to implement but its performance is sensitive to the projection area. Especially, projection profiles of thermal image have very modest change and are difficult to extract image shifts between frames. In this paper, we proposed algorithm to extract a feature image for the thermal image and compared Block Matching Algorithm(BMA) with PA using our proposed feature image. When using our proposed feature image, BMA was simply implemented using FPGA's internal small memory. And we were able to obtain 30 % PSNR improved results compared to PA.

• Korean Journal of Organic Agriculture
• /
• v.22 no.4
• /
• pp.629-643
• /
• 2014

This study analyzed how the brand image elements influenced upon forming the brand trust and the brand loyalty of the 'Sky Green' the joint agricultural product brand Cheonan, Chungnam. The brand image was classified into functional image, symbolical image and origin - associated image. And what element of the brand image element influences upon forming the brand image loyalty by the consumers who are using 'Sky Green'. In the analysis results, the functional image, symbolical image and the image associated with the origin have influenced on forming the brand trust and the brand loyalty. All variables composing the brand image have positive influences on both brand trust and brand loyalty. It means that brand image influences on brand loyalty directly but the greater influence can be exerted through the effects of the parameter of brand trust.

• Journal of Korea Multimedia Society
• /
• v.19 no.8
• /
• pp.1498-1504
• /
• 2016

The progress of mobile computing technology is bringing a large amount of multimedia contents such as image. Thus, we need an image retrieval system which searches semantically relevant image. In this paper, we propose a semantic image annotation and retrieval in mobile environments. Previous mobile-based annotation approaches cannot fully express the semantics of image due to the limitation of current form (i.e., keyword tagging). Our approach allows mobile devices to annotate the image automatically using the context-aware information such as temporal and spatial data. In addition, since we annotate the image using RDF(Resource Description Framework) model, we are able to query SPARQL for semantic image retrieval. Our system implemented in android environment shows that it can more fully represent the semantics of image and retrieve the images semantically comparing with other image annotation systems.

• The Research Journal of the Costume Culture
• /
• v.24 no.3
• /
• pp.324-335
• /
• 2016

The fashion product image preference changes depending on one's lifestyle and personal inclination. Women want to show the fashion product image preference, often through their clothing and makeup choices. Brand image includes those elements related to the brand. Advertising is the primary method for introducing brands. This study was conducted to investigate the effects of fashion product image preference on emphasis of brand image and advertising factor evaluation targeting working women in their 20s and 30s. The fashion product image preference was s sophisticated image. Preference for a sophisticated image has a significant effect on emphasis of brand image when selecting fashion products. Emphasis of brand image has a notable effect on the brand direct advertising factor evaluation. Fashion product image preference has a significant effect on both brand's direct and indirect advertising factor evaluation. When selecting a fashion product (clothing and cosmetics), brand image importance was found to have a positive effect on a brand's direct advertising factor evaluation. Therefore, fashion companies should take advantage of their brand logo. Companies should also pay attention to clothing and product containers used in advertising to show the brand. In addition, every company should create an advertising image that represents their overall brand, by using a combination of detailed advertising factor evaluation.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.28 no.5
• /
• pp.648-657
• /
• 2004

The purpose of this study was to identify the relationship between avatar image and self-concept of avatar users by utilizing focus group interviews and survey method. The subjects of the focus group interview were Freechal Avatar Club members, while those of the survey were 476 students, who attended middle schools, high schools and colleges at Seoul area. The data were analyzed by frequency, factor analysis, cluster analysis, chi-square test, one-way ANOVA and scheffe test. The main results were summarized as follows. First, the focus group interview revealed that avatar image types, which avatar users made use of, were ideal image, real image and fantastic image. Second, based on the avatar image types of focus group interviews, the researcher made out avatar image question items and conducted factor analysis of the question items: The avatar users pursued ideal image, real image and fantastic image. The avatar users groups were classified into ideal image group, real image group and fantastic image group by employing cluster analysis. Third, all of body-esteem and self-esteem were the highest at real image group, while all of that were the lowest at ideal image group.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.7
• /
• pp.3620-3637
• /
• 2019

Since the birth of Synthetic Aperture Radar (SAR), it has been widely used in the military field and so on. However, the existence of speckle noise makes a good deal inconvenience for the subsequent image processing. The continuous development of sparse representation (SR) opens a new field for the speckle suppressing of SAR image. Although the SR de-noising may be effective, the over-smooth phenomenon still has bad influence on the integrity of the image information. In this paper, one novel SAR image de-noising method based on residual image fusion and sparse representation is proposed. Firstly we can get the similar block groups by the non-local similar block matching method (NLS-BM). Then SR de-noising based on the adaptive K-means singular value decomposition (K-SVD) is adopted to obtain the initial de-noised image and residual image. The residual image is processed by Shearlet transform (ST), and the corresponding de-noising methods are applied on it. Finally, in ST domain the low-frequency and high-frequency components of the initial de-noised and residual image are fused respectively by relevant fusion rules. The final de-noised image can be recovered by inverse ST. Experimental results show the proposed method can not only suppress the speckle effectively, but also save more details and other useful information of the original SAR image, which could provide more authentic and credible records for the follow-up image processing.

• Journal of the Korean Institute of Navigation
• /
• v.19 no.3
• /
• pp.21-28
• /
• 1995

Mathematical morphology skeleton image processing makes many partial skeleton image planes from an original binary image. And the original binary image can be reconstructed without any distortion by summing the first partial skeleton image plane and each dilated partial skeleton image planes using the same structuring element. Especially compression effects of Elias coding to the morphological globally minimal skeleton(GMS) image, is better than that of PCX and Huffman coding. And then this paper proposes mathematical morphological GMS image processing which can be applied to a binary image transmitting for facimile and big size(bigger than $64{\times}64$ size) bitmap fonts storing in a memory.

• Journal of the Korean Society of Costume
• /
• v.52 no.5
• /
• pp.31-45
• /
• 2002

In this paper. the focus is laid on identifying preferred wedding dress image and its co-relationship with self image of female university students. the biggest potential customer group in the industry. As for the research method. it conducted both review of literature and empirical research method. Through the former approach, four main research questions were derived : 1) What is the preferred wedding dress image of female university students\ulcorner 2) What is the relationship between real self-image and preferred wedding dress image\ulcorner and 3) that between ideal self-image and preferred wedding dress image\ulcorner 4)What is the relationship between the consistency level of the two self-images and preferred wedding dress image\ulcorner In the empirical mode of research, 404 surveys were counted in the final analysis among 450 questionnaires completed by female undergraduate students in Seoul and Chun-an city. Collected data analyzed using factor analysis. frequency analysis. descriptive analysis. scheffe test. multiple-regression analysis and t-test. Results are as follows: first, the sophisticated image was most preferred among female students, followed by elegant splendor. lovable and chaste, feminine and decorative, and characteristic and sexy image. This result indicates how wedding dress trend has a keen sensibility to general fashion trend just like the trend of outfits for everyday life. Secondly, the research results indicated consistent level of co-relationship among the real and ideal self-image and the preference of wedding dress image. And the last the level of consistence between the ideal self-image and the real self-image directly related to the preference level of wedding dress image, showing almost no significance.