• 한국의류산업학회지
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• 제2권3호
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• pp.246-252
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• 2000

The purpose of this study was to analyze the characteristics of the factor structure in Clothing Silhouette Image and the differences of Image Evaluation related to Grouping of Line and Grouping of Body Emphasis using Silhouette Image Factor and Life Space as variables. Clothing Silhouette Image was estimated by the photographs of 9 Life Spaces ${\times}$ 23 Clothing Silhouettes with 15 semantic differentiated by-polar scales. The major finding were : The factor structure of Clothing Silhouette Image were found to include 4 factor dimensions-Capability Evaluation, Function, Activity. It was clear that Silhouette Image were affected by Life Spaces. There were the differences of Image Evaluation related to Grouping of Line and Grouping of Body Emphasis. There were the differences of Life Space Evaluation related to Grouping of Line and Grouping of Body Emphasis. Therefore it is important to considerate Life Space for selecting Clothing Silhouette.

• Journal of information and communication convergence engineering
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• 제13권4호
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• pp.264-269
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• 2015

The chest X-ray image cannot be focused in the same manner that optical lenses are and the resultant image generally tends to be slightly blurred. Therefore, the methods to improve the quality of chest X-ray image have been studied. In this paper, the inherent noises of the input images are suppressed by adding the Laplacian image to the original. First, the chest X-ray image using an Gaussian high pass filter and an optimal high frequency emphasis filter has shown improvements in the edges and contrast of flat areas. Second, using fuzzy logic_histogram equalization, each pixel of the chest X-ray image shows the normal distribution of intensities that are not overexposed. As a result, the proposed method has shown the enhanced edge and contrast of the images with the noise canceling effect.

• 복식문화연구
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• 제24권3호
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• pp.324-335
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• 2016

The fashion product image preference changes depending on one's lifestyle and personal inclination. Women want to show the fashion product image preference, often through their clothing and makeup choices. Brand image includes those elements related to the brand. Advertising is the primary method for introducing brands. This study was conducted to investigate the effects of fashion product image preference on emphasis of brand image and advertising factor evaluation targeting working women in their 20s and 30s. The fashion product image preference was s sophisticated image. Preference for a sophisticated image has a significant effect on emphasis of brand image when selecting fashion products. Emphasis of brand image has a notable effect on the brand direct advertising factor evaluation. Fashion product image preference has a significant effect on both brand's direct and indirect advertising factor evaluation. When selecting a fashion product (clothing and cosmetics), brand image importance was found to have a positive effect on a brand's direct advertising factor evaluation. Therefore, fashion companies should take advantage of their brand logo. Companies should also pay attention to clothing and product containers used in advertising to show the brand. In addition, every company should create an advertising image that represents their overall brand, by using a combination of detailed advertising factor evaluation.

• 전자공학회논문지 IE
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• 제48권1호
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• pp.51-56
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• 2011

본 연구에서는 흉부 CR 영상에 대하여 다양한 디지털 영상처리 기법을 가하여 영상의 질을 개선시키고 화질 평가를 수행하였다. 또한 흉부 CR 영상의 선예도를 개선하기 위해서 고주파 강조 필터링과 히스토그램 평활화를 MATLAB으로 구현하여 시뮬레이션 한 결과 고주파 강조 필터링과 히스토그램 평활화를 통해서 원영상의 대조도가 개선되었다. 디지털영상처리에 의해 화질의 개선된 정도를 평가하기 위해서 영상의 관찰에 의한 주관적 평가기법을 이용하였다. 신호 또는 병소가 있는 영상에서 신호 또는 병소를 발견할 확률로 감도를 계산하였다. 고주파 강조 필터링과 히스토그램 평활화가 수행된 영상의 감도는 원영상보다 개선되었고, 의료영상에서 수행된 디지털 영상처리는 영상의 질을 향상시켰다.

• 한국멀티미디어학회논문지
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• 제19권3호
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• pp.626-632
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• 2016

In this paper, we propose the defect emphasis in TFT-LCD panel image. The defect emphasis image consist of S(Shape) map and B(Brightness) map. S map based on DoG(difference of gaussian) is made with the mura defect shape characteristic. And B map use defect intensity property that defect intensity is higher than background. The experiments were conducted to evaluate the performance of the proposed defect emphasis method. The results of experiments show the validity of the defect emphasis using the proposed method.

• 조명전기설비학회논문지
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• 제29권5호
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• pp.1-12
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• 2015

In this study, we derive an evaluation structure and 18 Valuation vocabulary for the media facade lighting conditions. In addition, this study deduced the applicable elements that could be applied in time of building nightscape lighting design using media facade by conducting affective evaluation. The research results are as follows: It was found that the image axis of "Dynamic, Colorful" showed the lighting change speed was fast with diverse application of lighting color, and its evaluation object applied by general emphasis, vertical emphasis, partial emphasis lighting method was highly assessed. In addition, it was found that "Luxurious, Unusual" axis showed lighting change speed was slow with the application of lighting color in warm hue series, and its evaluation object applied by line lighting, dot lighting, general emphasis lighting methods was highly assessed. Lastly, it was found that "Soft, Secure" image axis showed the lighting change speed was slow with the application of pastel tone lighting color, and the evaluation object applied by general emphasis lighting method was highly assessed.

• 한국정보통신학회논문지
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• 제17권3호
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• pp.698-704
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• 2013

영상개선을 위한 영상처리는 응용분야에 따라서 동일한 알고리즘이 각각 다르게 적용되므로 응용분야에 적합한 최적값이 필요하다. 본 논문에서는 X선 의료영상분야에 고주파통과 필터를 적용해서 에지영역을 개선하였고, 결과영상에 상수승수와 오프셋을 더하여 에지영역 및 평탄영역의 컨트라스트를 향상시켰다. 그러므로, 의료영상을 최적화시키기 위해서는 고주파강조필터가 필요함을 알 수 있었다. 또한, 구체적인 최적화 변수값으로는 가우시안 고주파통과필터, 차단주파수의 거리=0.05, 오프셋=0.5 값이다. 마지막으로 이들 최적화 변수값을 적용시켜 시뮬레이션 한 결과, 제안된 방법이 기존 방법들에 비해서 영상의 컨트라스트와 에지부분들을 향상시켰다.

• Journal of information and communication convergence engineering
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• 제15권2호
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• pp.131-136
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• 2017

Chest X-ray image cannot be focused in the same manner as optical lenses and the resultant image generally tends to be slightly blurred. Therefore, appropriate methods to improve the quality of chest X-ray image have been studied in this paper. As the frequency domain filters work well for slight blurring and moderate levels of additive noises, we propose an algorithm that is particularly suitable for enhancing chest image. First, the chest image using Gaussian high pass filter and the optimal high frequency emphasis filter shows improvements in the edges and contrast of the flat areas. Second, as compared to using histogram equalization where each pixel of chest image is characterized by a loss of detail and much noises, in using fuzzy logic, each pixel of chest image shows the detail preservation and little noise.

• JSTS:Journal of Semiconductor Technology and Science
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• 제15권1호
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• pp.60-67
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• 2015

This paper proposes an image-dependent color image enhancement method that uses adaptive luminance enhancement and color emphasis. It effectively enhances details of low-light regions while maintaining well-balanced luminance and color information. To compare the structure similarity and naturalness, we used the tone mapped image quality index (TMQI). The proposed method maintained better structure similarity in the enhanced image than did the space-variant luminance map (SVLM) method or the adaptive and integrated neighborhood dependent approach for nonlinear enhancement (AINDANE). The proposed method required the smallest computation time among the three algorithms. The proposed method can be easily implemented using the field-programmable gate array (FPGA), with low hardware resources and with better performance in terms of similarity.

• 통합자연과학논문집
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• 제8권2호
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• pp.141-144
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• 2015

As the visual quality of X-ray images is a critical reference for the accuracy of the clinical diagnosis, the methods to improve the quality of X-ray images have been investigated. Among many existing methods, using frequency domain filter is a very powerful method to improve the visual quality of images. In this paper, the inherent noises of the input images are suppressed by adding the Laplacian image to the subjected image. The medical X-ray images using the optimal high pass filter has shown improved edges. Further, the optimal high frequency emphasis filter has shown the improved contrast of flat areas by using the result image from the optimal high pass filter. Also the resulting images of the global contrast have improved by the histogram equalization. As a result, the proposed methods have shown enhanced contrast and edges of the images with noise canceling effect.