• The Bulletin of The Korean Astronomical Society
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• v.44 no.1
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• pp.52.1-52.1
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• 2019

The Helioseismic and Magnetic Imager (HMI) is the instrument of Solar Dynamics Observatory (SDO) to study the magnetic field and oscillation at the solar surface. The HMI image is not enough to analyze very small magnetic features on solar surface since it has a spatial resolution of one arcsec. Super resolution is a technique that enhances the resolution of a low resolution image. In this study, we use a method for enhancing the solar image resolution using a Deep-learning model which generates a high resolution HMI image from a low resolution HMI image (4 by 4 binning). Deep learning networks try to find the hidden equation between low resolution image and high resolution image from given input and the corresponding output image. In this study, we trained a model based on a very deep residual channel attention networks (RCAN) with HMI images in 2014 and test it with HMI images in 2015. We find that the model achieves high quality results in view of both visual and measures: 31.40 peak signal-to-noise ratio(PSNR), Correlation Coefficient (0.96), Root mean square error (RMSE) is 0.004. This result is much better than the conventional bi-cubic interpolation. We will apply this model to full-resolution SDO/HMI and GST magnetograms.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.2
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• pp.70.4-70.4
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• 2019

Image super-resolution (SR) is a technique that enhances the resolution of a low resolution image. In this study, we use three SR models (RCAN, ProSRGAN and Bicubic) for enhancing solar SDO/HMI magnetograms using deep learning. Each model generates a high resolution HMI image from a low resolution HMI image (4 by 4 binning). The pixel resolution of HMI is about 0.504 arcsec. Deep learning networks try to find the hidden equation between low resolution image and high resolution image from given input and the corresponding output image. In this study, we trained three models with HMI images in 2014 and test them with HMI images in 2015. We find that the RCAN model achieves higher quality results than the other two methods in view of both visual aspects and metrics: 31.40 peak signal-to-noise ratio(PSNR), Correlation Coefficient (0.96), Root mean square error (RMSE) is 0.004. This result is also much better than the conventional bi-cubic interpolation. We apply this model to a full-resolution SDO/HMI image and compare the generated image with the corresponding Hinode NFI magnetogram. As a result, we get a very high correlation (0.92) between the generated SR magnetogram and the Hinode one.

• Journal of KIISE:Software and Applications
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• v.26 no.1
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• pp.150-150
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• 1999

In this paper, a content-based image retrieval scheme based on scale-space theory is proposed. The existing methods using scale-space theory consider all scales for image retrieval,thereby requiring a lot of computation. To overcome this problem, the proposed algorithm utilizes amodified histogram intersection method to select candidate images from database. The relative scalebetween a query image and a candidate image is calculated by the ratio of histograms. Feature pointsare extracted from the candidates using a corner detection algorithm. The feature vector for eachfeature point is composed of RGB color components and differential invariants. For computing thesimilarity between a query image and a candidate image, the euclidean distance measure is used. Theproposed image retrieval method has been applied to various images and the performance improvementover the existing methods has been verified.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.1
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• pp.99-107
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• 2019

Retinex-based image enhancement is a technique that utilizes the property that the human visual characteristics are sensitive to the difference from the surrounding pixel value rather than the pixel value itself. These Retinex-based algorithms show different characteristics of the improved image depending on the applied color space or gamma correction. In this paper, we set eight different experimental conditions according to the application of color space and gamma correction, and analyze the objective and subjective performance of each Retinex based image enhancement algorithm and apply it to the implementation of Retinex based algorithm. In the case of gamma correction, quantitative low entropy images and low contrast images are obtained. The application of Retinex technique in HSI color space rather than RGB color space is found to be high in overall subjective image quality as well as maintaining color.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.05a
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• pp.44-45
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• 2004

With the development of informational machinery and tools in the modern industrial society, the image is expressed diversely as tools of informational transmission and artistic communication. This image is revival equipment and transmissional media in which sound and light are comprehensively formed. The image's intuitive and sensational expressivity can revive subjects and express a fiction, a reality, a nonfiction, and a virtual reality as a communication tool that has synchronicity and the medium of meaning. Because of this, the domain of the image will be gradually extended in the future, and the world of cognizance that can be detected across our living space will absorb the image diversely and react. In this context, the investigator examined what influence image media and equipments have in space as spatial equipments, based on the recognition of cerrelation among the image, space, and mankind, namely, the environmental meaning the mage and the space contain. Therefore, this study was conducted from the aspects of relationship establishment between image equipments that are ever expansive to a variety of domains and the space that accommodates the equipments. As study findings, the influences the image equipments have on space and their expressional features are presented in three aspects: 'the expressional medium of mutual synergy','metaphysical ultra-epithelial space constituent',' and 'object'. This study seems to be meaningful in that we can expect the spatial approach method by purposes and spatial layout of image structures, with this study, through analyzing the meaning of relationship between image equipments and space.

• Journal of Distribution Science
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• v.16 no.2
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• pp.67-81
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• 2018

Purpose - Recently the importance of green consumption and corporate social responsibility has been increasing, thereby enhancing the importance of green consumption space as well. The retail space, as a representative consumption space, is now consuming more energy by introducing bigger retail space, 24-hour operation, cutting-edge equipment, and manless checkout system. Especially for retailers, who are constantly interacting with consumers, not only the economic consideration but also the consumer experience via retail service and physical retail space is crucial for their success. Therefore, this study intends to understand the main factors of motivating consumer perception about green retail space. In addition, we further investigate the mediating and moderating variables to encourage revisit intention and green retail space image. Research design, data, and methodology - In order to test our hypotheses with two models, we conducted a survey using questionnaires. In model 1, 356 respondents were surveyed to determine whether consumers' green attitudes and behaviors enhance environmentally friendly perception on retail space properties. In model 2, a questionnaire survey was conducted on 69 consumers who have experience in green retail space. Questionnaire surveys were conducted with on-line panels in Korea and analyzed using regression model and Hayes' PROCESS macro. Results - We found that consumers with green attitude put more importance on the attributes of green retail space. Also, the utility of the green retail space was found to be significant in emotional and social benefits. And, the consumers, who perceived the importance of green retail space, show higher revisit intentions. The emotional and social utilities have significant positive effects on revisit intention through green retail space image. Conclusions - This study demonstrates that a green retail space can induce positive consumer utility, thereby increasing green retail space image and revisit intention. Thus, in order to increase the image and revisit, retailers should communicate green messages with consumers, enhance green attributes of retail space, and target green consumers. To do so, we suggest that various marketing efforts such as publicity and education are needed to appeal experiential green products and retail space to consumers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4241-4254
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• 2019

The efficiency and accuracy of handwriting measurement could be improved by adopting digital image processing. This study developed a computer-based Korean Handwriting Assessment tool. Second graders participated in this study by performing writing tasks of consonants, vowels, words, and sentences. We extracted boundary parameters for each letter using digital image processing and calculated the variables of size, size coefficient of variation (CV), misalignment, inter-letter space, inter-word space, and ratio of inter-letter space to inter-word space. Children were also administered traditional handwriting and visuomotor tests. Digital variables from image processing were correlated with these previous tests. Using these correlations, we established a three-point scoring system that computed test scores for each variable. We analyzed inter-rater reliability between the computer rater and human rater and test-retest reliability between the first and second performances. The validity was examined by analyzing the relationship between the Korean Handwriting Assessment and previous handwriting and visuomotor tests. We suggested the Korean Handwriting Assessment to measure size, size consistency, misalignment, inter-letter space, inter-word space, and space ratio using digital image processing. This Korean Handwriting Assessment tool proved to have reliability and validity. It is expected to be useful for assessing children's handwriting.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2003.05a
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• pp.183-186
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• 2003

Light is important as to say that it completes space and form. Space that is made by light is not only functional but it can be seen as a place where space and people communicate to each other. Recently mass media is embossed as communication method. Light is the most instant and affluent factor among what consists of the image of space to express sensitivity. Especially the artificial lighting plays an important role in the presentation of space in the mass media with the progress of technology. Therefore this study's purposes are to search how the artificial light present the image of space in the mass media and to suggest alternative methods to present the image with artificial lighting.

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.1 s.6
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• pp.67-73
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• 1996

The objective of this research is to investigate the behavior of the $F\"{o}rstner$ interest operator, which has been widely used for detecting distinct points in the field of digital photogrammetry and computer vision, in scale space. Considering the hugh volume of digital image utilized in digital photogrammetry, the scale space (image pyramid) approach which appears to be a solution for enhancing image processing, began to gain its attention. The investigation of the $F\"{o}rstner$ interest operator in scale space generated by the Gaussian kernel shows its behavior and feasibility for being used in practice.

• Journal of the Korean Society of Costume
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• v.58 no.2
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• pp.107-119
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• 2008

This study aims to define the concept of the futuristic image in fashion since 2000. In this study, earlier studies of the futuristic images in the fashion are analyzed and it is discovered that the most important characteristics of the futuristic images are the cosmic space and virtual reality. An analysis of actual data of the futuristic images of the fashion since 2000 produces the following conclusions. First, since 2000 the futuristic fashion to convey the image of space tends to be minimalist, taking H or A silhouette and using white, silver, or other vivid colors. Second, since 2000 the image of virtual reality is often expressed in the fashion of futuristic image as female fighters or vampires of the future who mostly wear pants suit or skirts that expose the body line. Materials of advanced technology or shiny leather are often used and dark colors including black are dominant in these images. Third, when the space image is expressed, the androgynous youth is emphasized. However when female fighters or vampires of the future are shown, sexual image of gloomy atmosphere is often stressed. Fourth, the fashion of futuristic image since 2000 takes up the space age look of the 1960s and the techno-cyber look of the 1980s and the 1990s. However their internal meanings are lost and only external forms are repeated. In sum, the current fashion of futuristic image emulates the past look of the fashion which was circulated as futuristic images and may be considered as a result of combination of futuristic image and retrospective image.