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

• Journal of the Korean Society of Costume
• /
• v.63 no.4
• /
• pp.143-157
• /
• 2013

Fashion products are goods purchased based on cultural and psychological values derived from a brand image as well as on the physical value of the product itself. Management of brand image has been one of the most important marketing strategies in the fashion industry. In this research, three best-selling young casual brands were tested with 200 male and female subjects to compare brand image, logo image, and advertisement image. The objective of the research were as follows: 1) to explore the effect of advertisement on the purchase of young casual wear and brand image management status through advertisements of domestic brands, and 2) to investigate differences in consumer perception on brand logo image and advertisement image. The results showed that most of young casual brands are depending much on star marketing rather than developing differentiated brand image through advertisements as indicated in brand image management status. Failure in development of differentiated and consistent brand image is a barrier to the long-term and continuous advancement of young casual brands. Therefore, more efforts should be made for the reinforcement of brand image for the consistent growth of domestic young casual brands.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2019.01a
• /
• pp.83-86
• /
• 2019

Histogram equalization is extensively used for image contrast enhancement in various applications due to its effectiveness and its modest functions. In image research, image enhancement is one of the most significant and arduous technique. The image enhancement aim is to improve the visual appearance of an image. Different kinds of images such as satellite images, medical images, aerial images are affected from noise and poor contrast. So it is important to remove the noise and improve the contrast of the image. Therefore, for this purpose, we apply a median filter on MR image as the median filter remove the noise and preserve the edges effectively. After applying median filter on MR image we have used intensity transformation function on the filtered image to increase the contrast of the image. Than applied the histogram equalization (HE) technique on the filtered image. The simple histogram equalization technique over enhances the brightness of the image due to which the important information can be lost. Therefore, adaptive histogram equalization (AHE) and contrast limited histogram equalization (CLAHE) techniques are used to enhance the image without losing any information.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2004.08a
• /
• pp.436-439
• /
• 2004

Most of past image processing systems have been designed independent of image contents. Now, evolving computation power is making the "image-dependent" elegant algorithms possible to get the better image renditions on display. This paper introduces our recent approaches to quality and pleasant imaging based on image-dependent. Three typical approaches to comfortable "Sharpness", "Lightness", and "Color" renditions on display image arc presented.

• Cross-Cultural Studies
• /
• v.26
• /
• pp.379-404
• /
• 2012

This study aims to investigate national image of South Korea held by russians. Surveys(based on Free-association Image) and discussion were conducted on LiveJournal (internet blog) with russian netizen. A national image is influenced by a subjective perspective rather than an objective one. Therefore, an image can differ substantially from reality. Futhermore, it takes a long time to change an established image, particularly to a positive image. According to the results, the image of South Korea were dominated by unstable political situations, especially factors related to North Korea. In addition, based on Free-association image, thinking about Korea or Korean, most russians recognize Korea(South) with North Korea. Above all Russians recognize Korea, basing their images on factor of the past or their neighbors-russian korean- or famous Korean brand like Samsung, LG, Hyndai, "Dosirak". Russian netizen did not recognize South Korea as one of leading countries in Asia, paying little attention to South Korea compared to China or Japan. We belive that it is necessary to consider these situations in future efforts to enhance the national image of South Korea.

• Korean Management Science Review
• /
• v.27 no.2
• /
• pp.97-108
• /
• 2010

Previous studies have shown that country image affects consumers' valuation of products. Based on a literature review this paper identifies five dimensions (economic, political, relational, people and cultural image) and purifies them with Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). The data was gathered by using a structured questionnaire from 252 Korean consumers. Among the five dimensions of country image, this paper derives the three factors of country image for four countries (The United States, Japan, Australia, and China) - economic, relational, and cultural image. Then it examines the impacts of the three dimensions of country image on consumers' purchase intention of two industry types : industrial products vs. agricultural products. The result shows there is no difference between both of the two types in the impacts of country image on purchase intention. This implies that for managing the country image it not necessary to develop a communication strategy which is differentiated by industry types.

• Fashion & Textile Research Journal
• /
• v.6 no.6
• /
• pp.715-722
• /
• 2004

The social culture critics say that the current situation of the boom in pretty men happened because stereotyped notions of sex roles have changed. However, no scientific study has been done as yet to support this theory. Therefore, this study analyzed the present situation and examined it from many different points of view. I asked 600 men to fill out the questionnaire: 300 from Daegu and the other 300 from Seoul. I analyzed four 461 of them. The inner/outer image of Korean males in their 20s was analyzed into seven factors, a positive image, a progressive image, an affirmative image, a sensible image, an exemplary image, a conscious image, and an active image. The demographic result based on the inner/outer image factors showed a significant difference in ages for a sensible image, a conscious image, and an active image.

• Fashion & Textile Research Journal
• /
• v.10 no.3
• /
• pp.322-328
• /
• 2008

This study examined Korean college women's perceptions of their body image, ideal body, and body satisfaction. Five research questions assessed participants: 1) self-defined image, 2) ideal body image, 3) body dissatisfaction, 4) body satisfaction, and 5) perceptions of their friends' weight concerns. A convenience sample of 101 female college students participated in the study. Respondents' average age is 20.78, ranging from 18 to 36 years. Two approaches were used to define Korean college women's body image and body satisfaction: A scale of illustration showing nine females' body drawing, and a verbal scale for the satisfaction with body image. The findings revealed that Korean college women pursue "thinness." Although they were somewhat happy with their height, the development of their figure, and their overall good looks, they were significantly dissatisfied with their weight. These results indicate that Korean college women would benefit from positive body image education.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2007.04a
• /
• pp.187-190
• /
• 2007

This study is for analyzing best band in image matching using correlation coefficient of left and right images of stereo image pair, lot red, green, blue band images separated from color aerial photo and gray image converted from the same color aerial photo image. The image matching is applied to construct Digital Elevation Model(DEM) or terrain data. The correlation coefficients and variation by change of pixel patch size are computed from pixel patches of which sizes are $11{\times}11{\sim}101{\times}101$. Consequently, the correlation coefficient in red band image is highest. The lowest is in blue band. Therefore, to construct terrain data using image matching, the red band image is preferable. As the size of pixel patch is growing, the correlation coefficient is increasing. But increasing rate declines from $51{\times}51$ image patch size and above. It is proved that the smaller pixel patch size than $51{\times}51$ is applied to construct terrain data using image matching.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.22 no.2
• /
• pp.325-333
• /
• 1997

In fractral decoding procedure, the reconstructed image is obtained by iteratively applying the contractive transform to an arbitrary initial image. But this method is not suitable for the fast decoding because convergence speed depends on the selection of initial image. Therefore, the initial image to achieve fast decoding should be selected. In this paper, we propose an initial image estimation that can be applied to various decoding methods. The initial image similar to the original image is estimated by using only the compressed data so that the proposed method does not affect the compression ratio. From the simulation, the PSNR of the proposed initial image is 6dB higher han that of ones iterated output image of conventional decoding with Babaraimage. Computations in addition and multiplication are reduced about 96%. On the other hands, if we apply the proposed initial image to other decoding algorithms, the faster convergence speed is expected.