• Proceedings of the Korea Multimedia Society Conference
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• 2001.11a
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• pp.869-872
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• 2001

This paper proposes on the implementation of efficient image transmission system by generation and protection of watermark signals. For this, the image structure understanding is performed for improving the image quality and the generation of watermark signals. Then, the histogram is constructed and the watermark signals are selected from this. At this stage, by embedding of the coefficients of curve fittness into the lower 4 its of the image data pixels, image quality degradation due to the embedding of watermark signals are prevented. Finally, turbo encoding is performed to solve the problem of watermark signal losses that may occur on channels when transmitting. Especially, a new interleaving method called semi-random interleaver is proposed.

• The Journal of Korea Robotics Society
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• v.8 no.3
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• pp.179-185
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• 2013

In this paper we propose a haptic interaction system that physically represents the underlying geometry of objects displayed in a 2D picture, i.e., a digital image. To obtain the object's geometry displayed in the picture, we estimate the physical transformation between the object plane and the image plane based on homographic information. We then calculate the rotated surface normal vector of the object's face and place it on the corresponding part in the 2D image. The purpose of this setup is to create a force that can be rendered along with the image without distorting the visual information. We evaluated the proposed haptic rendering system using a set of pictures of objects with different orientations. The experimental results show that the participants reliably identified the geometric configuration by touching the object in the picture. We conclude this paper with a set of applications.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.8 no.1
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• pp.57-62
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• 1994

In this paper, a system for measuring of treeing degradation in organic dielectric material by using image processing technics, is discussed. Traditionally, treeing is measured by visual method. It made difficulty to understanding for features and changes in the configlEation of the tree growth. Using image processing system, it is made to describe the characters of the tree growth, specially length of tree and area of treeing degradation. From this image processing and visual measurement, the similar results were made, an automatic measurement system was made for configuration of the tree growth.

• Applied Microscopy
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• v.37 no.2
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• pp.143-146
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• 2007

The objects of the nature have three dimensional (3-D) parameters. The 3-D profiles are embedded on the photographs and microscopic images. To understand 3-D configuration, stereo pair image with thick section is frequently employed. The perception of 3-D images is possible with the aid of stereoscopic glasses, although the expert can perceive 3-D images without the glasses. Anaglyphic stereo images are constructed by various softwares from commercial and freeware. Here we would like to present an easy anaglyphs construction method with Adobe $Photoshop^{(R)}$ based on tilting paired images from high voltage electron microscope. The anaglyphic stereo images constructed revealed the same 3-D perception with conventional stereoscopy. We could zoom in/out the anaglyph image digitally to investigate the detail configuration by real time. This method is expected to contribute to understanding complex structures 3 dimensionally.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.401-403
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• 2019

In this paper, we propose a generative adversarial networks (GAN) based text-to-image generating method. In many natural language processing tasks, which word expressions are determined by their term frequency -inverse document frequency scores. Word2Vec is a type of neural network model that, in the case of an unlabeled corpus, produces a vector that expresses semantics for words in the corpus and an image is generated by GAN training according to the obtained vector. Thanks to the understanding of the word we can generate higher and more realistic images. Our GAN structure is based on deep convolution neural networks and pixel recurrent neural networks. Comparing the generated image with the real image, we get about 88% similarity on the Oxford-102 flowers dataset.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.768-791
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• 2023

Effective brand management using images has been a challenge for the brand managers. The brand identity-brand image alignment on the social media is an important yet mostly-overlooked phenomenon. We proposed a scalable Google Cloud Vision-based approach for measuring the alignment between brand identity and brand image, and understanding the brand positions. We analyzed 3247 images of 13 leading Indian brands on Instagram. Images containing wordy announcements by the firms are in stark contrast with the relatively more emotive images by the users. It leads to a noticeable disconnect between the brand identity and brand image. Also, the private sector brands do not always outperform the public sector brands in branding efforts. By offering practical guidance on how to measure and reduce the misalignment, this study paved a feasible path towards better visual branding on Instagram.

• Journal of Korean Elementary Science Education
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• v.40 no.3
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• pp.366-389
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• 2021

The purpose of this study is to extract the factors that compose the image of science teacher desired by elementary school students in inquiry-based instruction and analyze the structural associations between them. Factors that compose the image of science teacher desired by elementary school students in inquiry-based instruction were extracted through exploratory factor analysis (EFA). Based on the findings of EFA, the questionnaire has been further analyzed using confirmatory factor analysis (CFA). In addition, based on the factor structure identified through factor analysis, we comprehensively analyzed the image of science teacher desired by elementary school students in inquiry-based instruction. As a result of EFA, five factors were identified which compose the image of science teacher desired by elementary school students in inquiry-based instruction: namely, teaching strategy, assessment strategy, prior guidance, understanding students, learning development. The CFA results showed a relatively strong correlation between teaching strategy and learning development, teaching strategy and understanding students. As a result of a comprehensive review of students' perception of the image of science teachers in inquiry-based instruction based on the extracted factor structure, students perceived that it is important for science teachers to run inquiry-based instruction by reflecting their understanding of students. Students also perceived importantly that science teachers run inquiry-based instruction using effective teaching strategies and proper evaluation strategies.

• Journal of The Korean Association For Science Education
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• v.35 no.5
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• pp.871-876
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• 2015

The purpose of this research was to investigation of elementary preservice teachers' understanding of the image observed in a diverging lens. To achieve the research purpose, Scientific inquiry activity of 'Observing Objects through a Diverging Lens' in the 2009 Revised Science Curriculum was carried out by 29 junior elementary preservice teachers, and preservice teachers' difficulties were analyzed during scientific inquiry activity. The results were as follows. First, preservice teachers had difficulties in comparing the size of the images. Second, preservice teachers couldn't correctly explain the reason about the changing of the image size according to distance from the lens to the object. Third, preservice teachers couldn't correctly explain the changing of the image size according to distance from the lens to the eyes. Fourth, preservice teachers were classified into five levels according to their conceptions of the image formation by the diverging lens, and most of them stayed in the first level. The result of this research suggests that reformations in text and preservice teachers' education.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.3
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• pp.1-10
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• 2012

This study has purpose to understanding recent trends and image effect of textile in fashion by looking to dyeing technique and aesthetics of diffusing image pattern. Further the study will hope to provide basic data for fashion and textile designer fashion. The methods of this study are academic literatures as well as practical study through case studies about actual works. Dyeing techniques and aesthetics of diffusing image pattern since 2000 fashion collection and their results are as follows. First, Dyeing techniques of diffusing image pattern are wet-dyeing and printing. There are plangi dyeing, salt dyeing, alcohol dyeing and ikat dyeing in the wet-dyeing and spray dyeing, discharge dyeing in the printing. There are tie-dyeing, rumpling-dyeing and plank-dyeing in the plangi. Second, Forming of the diffusing image pattern are due to uneven seeping and the contingency of a chemical reaction by reducing the pressure and intensity. Third, Aesthetics of diffusing image pattern are extracted purity missing childhood, fantasy escaping facts of the situation and abstraction representing informal world from formative characteristics of diffusing image pattern.

• Journal of Fashion Business
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• v.21 no.3
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• pp.29-42
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• 2017

This study investigates the impact of female consumer self-image on pursued fashion style. A survey was carried out among 717 women between the ages of 20 and 60 living in Seoul, Incheon, and Gyeonggi. Analysis was conducted in the following manner: SPSS 18.0 was used to perform an Exploratory Factor Analysis (descriptive analysis, principal factor analysis, Pearson correlation analysis, frequency analysis, and reliability analysis) and AMOS 21.0 was used to carry out a Confirmatory Factor Analysis. Based on a Structure Equation Model, results show that ideal self-image and realistic self-image, which are factors derived from psychology, affect pursued fashion style. By contrast, social self-image - derived from social contexts - does not. Therefore, the female consumers' self-image influences pursued fashion style; this is opposed to the relationship between the realistic self-image and ideal self-image of women, which is more unconscious and self-satisfying. The presented results indicate that we should respond to changes in the fashion industry and develop a deeper understanding of consumer niches to discover the factors that predict purchasing behavior. This knowledge can then be applied to establish market strategies. This study contributes to the literature by producing preliminary data that can help support such strategy formulation in the fashion and clothing industry.