• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.433-438
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• 1999

The land use type of Korea is high-density. So, the image classification using coarse resolution satellite image may not provide land cover classification results as good as expected. The purpose of this paper is to compare the result of visual interpretation with that of digital image classification of 20 m resolution SPOT satellite image at Kwangju-eup, Kyunggi-do, Korea. Classes are forest, cultivated field, pasture, water and residential area, which are clearly discriminated in visual interpretation. Maximum likelihood classifier was used for digital image classification. Accuracy assessment was done by comparing each classification result with ground truth data obtained from field checking. The classification result from the visual interpretation presented an total accuracy 9.23 percent higher than that of the digital image classification. This proves the importance of visual interpretation for the area with high density land use like the study site in Korea.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.454-466
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• 2016

The Korean wave refers to the spread of Korean popular culture from China to all over the world. The Korean wave has been improving the national image and creating a new brand value for Korea as a symbolic soft power. Its spread has been operating as a kind of energy that is fueling national competition. The Korean wave creates a new type of tour and increases tourists' intention to visit special places revealed indirectly through mass media. People can vary highly in terms of awareness, attitude and behavioral pattern according to the degree of care for and interest in something. This is called involvement. Three hypotheses were established to study the effect of the Korean wave in terms of involvement. First of all, it confirms whether the Korean wave involvement affects national image and image as a tourist destination. Second, it confirms whether national image affects Korea's image as a tourist destination. Third, it confirms whether the Korean wave involvement affects intention to visit Korea. The certification results of these hypotheses confirm that the Korean wave affects national image, Korea's image as a tourist destination, and intention to visit Korea. The national image also partly affects its image as a tourist destination.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.2
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• pp.145-157
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• 2017

This study aimed to investigate the relationship between values orientation and fashion image orientation with a focus on the new senior generation. The study conducted data analysis by using the SPSS 17.0 program for the final 397 copies excluding incomplete questionnaires. The results of this study are as follows. First, values orientation was drawn as the four factors of social orientation, dependent orientation, family-like orientation, and individual orientation. The fashion image orientation was compartmentalized as three factors: urban image, individual image, and feminine image. Second, social orientation had a significant effect on feminine image as shown in Photo 1, while only individual orientation exerted a significant influence on individual image (Photo 2). Social orientation and family-like orientation respectively exercised a significant influence on individual image and feminine image, and feminine image (Photo 3). Third, the four groups did not show a significant difference in the relationship with the sub-elements of fashion image orientation. It appeared that all four groups were felt as a complex image in which modern, feminine, and individual images were mixed. Fourth, the four groups showed a significant difference in the unusual, elegant, refined, youthful, feminine, and modern images among the factors of fashion image orientation.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.153-162
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• 2017

Today, weather radar is used as a key tool for modern high-tech weather observations and forecasts, along with a wide variety of ground gauges and weather satellites. In this paper, we propose a frequency transform based weather radar image processing technique to improve the weather radar image damaged by beam blocking and clutter removal in order to minimize the uncertainty of the weather radar observation. In the proposed method, DCT based mean energy correction is performed to improve damage caused by beam shielding, and DWT based morphological image processing and high frequency cancellation are performed to improve damage caused by clutter removal. Experimental results show that the application of the proposed method to the damaged original weather radar image improves the quality of weather radar image adaptively to the weather echo feature around the damaged area. In addition, radar QPE calculated from the improved weather radar image was also qualitatively confirmed to be improved by the damage. In the future, we will develop quantitative evaluation scales through continuous research and develop an improved algorithm of the proposed method through numerical comparison.

• Asia-Pacific Journal of Business
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• v.8 no.1
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• pp.79-93
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• 2017

The image of Korean products in the US market and attitudes toward Korean companies and brands have very high purchasing value, but there are many doubts about the image of Korea. However, previous studies have shown that national image, product image, and brand attitude have a positive effect on consumers' purchase intention. The purpose of this study is to analyze the effect of Korean image and Korean brand image on purchasing Korean products in North Texas area. As a result of this study, the effect of the national image on Korean corporate image was not significant, and the effect of the national image on Korean brand image was not significant. However, the effect of the corporate image, purchase intention, brand image, and purchase intention is significant. In this study, US consumers do not perceive the correlation between Korean national image, Korean corporate image and brand image, and it is analyzed that Korean products are purchased mostly because of corporate image and brand image.

• Korea Trade Review
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• v.46 no.6
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• pp.55-71
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• 2021

The purpose of this study was to establish the causal structural model among brand image and country image associated with consumers' purchase decision of products. The specific objectives were 1) to analyze the effects of brand image on consumers' purchase decision of products, 2) to analyze the effects of country image on consumers' purchase decision of products, 3) to analyze the effects of brand image on country image, 4) to analyze the mediating effects of country image between brand image and consumers' purchase decision of products. The conclusions of this study are as follows: First, companies must have an advantage strategy for brand image along with country image. To this end, a strategy to promote the brand image through various media is effective. Second, it is necessary to find new transformation through the establishment of brand identity at the corporate level so that consumers can have a good impression on the brand image. Third, it is important for companies to make efforts at the level of brand image and country image to provide consumers with information that can increase expectations and actual satisfaction and to build product reputation. In addition, it is necessary to embody brand images and country images into global marketing mix strategies. Fourth, if companies build a brand image that symbolizes a differentiated culture, the brand image can have a positive effect on consumer purchase decisions. Along with this, companies can further increase their positive effects by developing representative brand image contents. Fifth, this study confirmed that the higher the image level of the manufacturing country in a situation where consumers' preferences are diversifying, the more the brand image leads to consumers' purchasing decisions. Therefore, brand managers are required to build a country image suitable for the existing brand image when advertising at the time of product introduction.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.729-732
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• 2003

In this paper, the transformed logo image is used as a watermark image, then the extraction rate is good when the logo image is transformed into randomly distribute Image domain. The robustness is good resist of clipping and noise.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.3
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• pp.59-65
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• 2004

This paper explores an image segmentation and representation method using Vector Quantization(VQ) on color and texture for content-based image retrieval system. The basic idea is a transformation from the raw pixel data to a small set of image regions which are coherent in color and texture space. These schemes are used for object-based image retrieval. Features for image retrieval are three color features from HSV color model and five texture features from Gray-level co-occurrence matrices. Once the feature extraction scheme is performed in the image, 8-dimensional feature vectors represent each pixel in the image. VQ algorithm is used to cluster each pixel data into groups. A representative feature table based on the dominant groups is obtained and used to retrieve similar images according to object within the image. The proposed method can retrieve similar images even in the case that the objects are translated, scaled, and rotated.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.7
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• pp.1503-1508
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• 2009

This study applied image processing techniques, constructed to real-time, to thermal infrared camera image. Thermal infrared image data was utilized for hot mapping, cool mapping, and rainbow mapping according to changing temperature. It was histogram image processing techniques so that detected shade contrast function of the thermal infrared image, and the thermal infrared image's edge was extracted to classification of object. Moreover, extraction of temperature from image was measured by using the image information program.

• Journal of Korea Multimedia Society
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• v.22 no.8
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• pp.860-873
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• 2019

LCD backlight boosting and the integration of boosting and dimming are proposed based on image analysis to maximize perceptual image qualities and to reduce display system power. Based on the histogram of the image data, methods for selecting an image suitable for boosting and for adjusting the optimum backlight brightness are proposed. A comprehensive combined optimization method of LCD backlight boosting, dimming and bypass based on image characteristics is also described. Perceptual image quality enhancement and power consumption are evaluated based on well known image databases. Average subjective image quality is improved by 24.8%, RMS contrast is improved more than 20%, and average power consumption is reduced by 15.94% compared to conventional uniform boosting.