• Journal of the Korean Society of Costume
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• v.57 no.7
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• pp.137-152
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• 2007

The purpose of this study is to research on concept, consisting factors, and specialties of theme park' character costumes to understand better about character costumes as well as to establish fundamental research data. The characteristics of character costumes in the theme park are as follows. First, theme park' character costumes are personified so that visitors may feel friendly and have emotional communication with them. Specially, costume that anthropomorphize an animal(85.3%) and silhouette of lozenge style(86.8%) dominated the highest weight. Animal figures are walking upright and wearing human's clothes. They communicate with visitors using mime actions. Second, various types of body proportion is applied to highlight the characteristics of character costume. Most character costumes are applied with unrealistic body proportion. This unrealistic body proportion give abnormal image and looks funny. The important factor is size of their head. Especially, 3.5 body proportion(78.9%) is general. Third, simplification, exaggeration, shrinkage, and modification are other factors. Simplification is applied differently by parts. Pocket, collar details are simplified to clarify the character's image. More simplification can lead to ommission. For their head, peculiar parts look stand out but other parts are simplified to stress their characteristics. Exaggeration is used with shrinkage to give strong impression to visitors. Forms are broken intentionally and they are modified. They look impressive because they are not harmonized. It is unexpected image and induces humor and familiar feelings. Matter of stylization includes exaggeration, shrinkage, modification and movement of actors that have tangible factor of character costume.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.83-88
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• 2005

In this paper, detection based - adaptive windowed nonlinear filters(DB-AWNF) are proposed for removing one-side impulse noise in infrared image. They are composed of impulse detector and window-size-variable median filters. Impulse detector checks whether current pixel is impulse or not using range function and nonlinear location estimator. If impulse is detected, current pixel is filtered according to four kinds of local masks by use of median filter. If not. current pixel is delivered to output like identity filter. In qualitative view, the proposed could have removed heavy corrupted noise up to $20\%$ and reserved the details of image. In quantitative view, PSNR was measured. The proposed could have 13 - 31[dB] more improved performance than those of median($3{\times}3$) filter and 18 - 25[dB] more improved performance than those of median($5{\times}5$) filter.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.871-879
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• 2020

Perceptual Ad-Blocking is a new advertising blocking technique that detects online advertising by using an artificial intelligence-based advertising image classification model. A recent study has shown that these Perceptual Ad-Blocking models are vulnerable to adversarial attacks using adversarial examples to add noise to images that cause them to be misclassified. In this paper, we prove that existing perceptual Ad-Blocking technique has a weakness for several adversarial example and that Defense-GAN and MagNet who performed well for MNIST dataset and CIFAR-10 dataset are good to advertising dataset. Through this, using Defense-GAN and MagNet techniques, it presents a robust new advertising image classification model for adversarial attacks. According to the results of experiments using various existing adversarial attack techniques, the techniques proposed in this paper were able to secure the accuracy and performance through the robust image classification techniques, and furthermore, they were able to defend a certain level against white-box attacks by attackers who knew the details of defense techniques.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.270-277
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• 2010

The BAMS filter is a kind of wavelet shrinkage filter based on the Bayes estimators with no simulation, therefore it can be used for a real time filter. The denoising efficiency of BAMS filter is seriously affected by the estimated noise variance in each wavelet band. To remove noise in signals in existing BAMS filter, the noise variance is estimated by using the quartile of the finest level of details in the wavelet decomposition, and with this variance, the noise of the level is removed. In this paper, to remove the image noise includingodified quartile of the level of detail is proposed. And by these techniques, the image noises of mid and high frequency bands are removed, and the results showed that the increased PSNR of ab the midband noise, the noise variance estimation method using the monotonic transform and the mout 2[dB] and the effectiveness in denosing of low noise deviation images.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.250-252
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• 2022

Recently, with the development of IoT technology and AI, unmanned and automated systems are progressing in various fields, and various application technologies are being studied in systems using algorithms such as object detection, recognition, and tracking. In the case of a system operating based on an image, noise removal is performed as a pre-processing process, and precise noise removal is sometimes required depending on the environment of the system. In this paper, we propose a modified central weight filter algorithm using pixel division of local regions to minimize the blurring that tends to occur in the filtering process and to emphasize the details of the resulting image. In the proposed algorithm, when a pixel of a local area is divided into two areas, the center of the dominant area among the divided areas is set as a criterion for the weight filter algorithm. The resulting image is calculated by convolving the transformed center weight with the pixel value inside the filtering mask.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.1
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• pp.1-16
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• 2024

This study aims to investigate the differences in blue jean styles and the visual images associated with them. To achieve this, literature reviews, case studies, and surveys were conducted. The results are as follows. 1) Based on previous studies, it was found that the design elements influencing the style of blue jeans and their visual images include waistline position, silhouette, details, decorations, and color. Additionally, differences in the preferences and visual evaluations of Korean and Chinese individuals regarding the style of blue jeans were confirmed. 2) Skinny blue jeans are typically characterized by a high waistline and a length that reaches the ankles, featuring a snug fit with stretchy fabric. Straight blue jeans, on the other hand, usually have a natural or high waistline and cover the instep, with a straight silhouette descending from the thigh to the hem. Bell-bottom blue jeans are primarily high-waisted and cover the instep with a silhouette forming a bell shape from the knee to the hem. 3) Korean and Chinese women in their 20s evaluated skinny, straight, and bell-bottom styles of blue jeans as having a 'casual' image. However, they also associated bell-bottom style blue jeans with 'unique' and 'attractive' images. Interestingly, Korean women described skinny-style blue jeans as making someone look 'youthful', while Chinese women perceived them as 'sophisticated', 'making the waist look thicker', and 'unassuming'. As for straight-style blue jeans, Korean women saw them as 'well-fitting', while Chinese women described them as 'making one appear taller', 'desirable', and 'free-spirited'.

• Journal of Digital Policy
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• v.3 no.1
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• pp.27-32
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• 2024

In this paper, proposes a super resolution method that enhances the quality of results by refining texture features, contrasting each, and utilizing the results as weights. For the improvement of quality, a precise and clear restoration result in details such as boundary areas is crucial in super resolution, along with minimizing unnecessary artifacts like noise. The proposed method constructs a residual block structure with multiple paths and skip-connections for feature estimation in conventional Convolutional Neural Network (CNN)-based super resolution methods to enhance quality. Additional learning is performed for sharpened and blurred image results for further texture analysis. By contrasting each super resolution result and allocating weights through this process, the proposed method achieves improved quality in detailed and smoothed areas of the image. The experimental results of the proposed method, evaluated using the PSNR and SSIM values as quality metrics, show higher results compared to existing algorithms, confirming the enhancement in quality.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.43-52
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• 2020

This paper is a study of Gustav Deutsch's film (2013). The film transformed the painting of Edward Hopper into an homage film. So it gives the impression that the picture is moving. In this regard, it raises the issue of 'remediation' between film and pictures. In this study, We ask how (2013) dealt with the movement in turning Hopper's paintings into movies. To that end, To this end, we look at two aspects of movement: the actor's movement and the screen's movement. The concepts of "tableau vivant," Agamben's gesture and mediation were used in the process. The actor's movement in the film is not an act of making and developing events. It is a gesture that moves a person's body and expression itself. It is not a story-oriented acting, but a gesture that Giorgio Agamben said. Editing and camera movements are used while maintaining frontality. This suggests that the movement of the screen is the eye of the audience. At first glance, it embodies the voyeuristic gaze of the original work. However, But the audience isn't looking at the image unilaterally, as in mainstream fiction films, but they are also being seen by that image. Also, the camera's movement to take a closer look at the details of the screen shows the movement itself rather than the means to reveal the details. The 'vision of reality' in a film is made through movement. The film questions the vision of reality between painting and film, between words and images. The move is a means of mediating reality, but the film is regaining the "lost gesture" that Giorgio Agamben once said by revealing its mediated nature. This tells us that the vision of reality appears when it obscures its mediated nature.

• The Transactions of the Korea Information Processing Society
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• v.7 no.8
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• pp.2349-2360
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• 2000

In medical image processing, if new technologies arc developed, they arc applied to real clinical cases. The results are to be analyzed by doctors to improve the new technologies. So, it is important for doctors to have a tool that helps the doctors in applying the new technologies to clinical cases and analyzing the clinical results. In this paper, we design and implement a visual programming environment where non-programming experts, such as medical doctors, can easily compose a medical image processing application program. A set of image processing functions are implemented and represented as icons. Thc user selects functions by clicking correslxmding icons. The users can easily find necessary' functions from the visualized library. A user selects a function from the visualized library and [Jut the function node into a canvas of Visual Programming Interface. The user connects nodes to compose a dataflow diagram. The connected dataflow diagram shows the now of the program. Hyperbolic Tree is helpful in visualizing a set of function icons in a single screen because it provides both the whole stmcture of the function Iihrary and the details of the focused functions at the same time. We also developed a CUI builder where the user interfaces of the medical image processing applications are composed. Therefore. non'programming experts such as physicians can apply new medical image processing algorithms to clinical cases without performing complex computer programming procedures.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.3D
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• pp.445-450
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• 2008

Recently, environmental and ecological approaches is in progress in urban stream, especially the guarantee of instream flow becomes very important. In this paper, it is suggested that water volume estimation method utilizing the topographical shape data obtained by field investigation and satellite image to manage the urban stream efficiently. The data obtained at Gap River is the study area are analysed and those results are as belows. First, surveying to investigate topographic shape characteristics of urban stream is carried out. In details, the gradient characteristics from water surface to bottom in case of sand area and in case of grass area are 0.013 and 0.065 respectively. In conclusion, the gradient characteristic of grass area is five times bigger than that of sand area. Besides, IKONOS image is classified by spectrum analysis and Minimum Distance Method and the sand area extraction method by the generalization method as Median filter is suggested to calculate water volume. Finally, mapping process on the sand area extracted from the topographical shape field data in river and satellite images is carried out by the GIS spatial analysis. And on the assumption that the water level was 1m at that time when satellite image was taken, the water volume was $225,258m^3$. It is clarified that the effect of water volume improvement was about 10.5% in comparison with water volume that had no consideration on the gradient characteristics of sand-bar.