• Science of Emotion and Sensibility
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• v.13 no.2
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• pp.337-346
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• 2010

The purposes of this research were to evaluate the color sensibility and preferences, and to analyze the effect of the tactile preferences and purchasing preference on structural properties, color characteristics and color sensibility for the black color fabrics. Male and female university students were asked to evaluate the color sensibility, tactile preference and purchasing preference to the nine different black fabrics which were selected on the basis of the previous research results. Data were analyzed by using frequency analysis, mean, factor analysis, t-test, Kruskal-Wallis test, correlation and regression analysis. The color sensibility for black color fabrics was classified into four factors: simplicity/classic, elegance, modernity and dignity. This color sensibility factors showed a significant correlative relationship to the structural properties and color characteristics of black color fabrics. On the other hand, fabrics which were evaluated with good tactile preference among the black color fabrics tended to show higher purchasing preference. Also, among the color sensibility, the structural properties and color characteristics of black color fabrics, major variable factor of influencing on the tactile preference and the purchasing preference was turned out to be the color sensibility.

• Asia Marketing Journal
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• v.11 no.4
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• pp.69-93
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• 2010

In this research, through experiments, we show that incongruity of color between mediums has positive influence on brand attitude in terms of integrated management of brand. We also present that self-image congruence of 'brand-consumer' has moderating effect on such influence of color incongruity. Mediums were limited to the ones that magnifying visual influence in order only to observe influence of color. With the same reason, visual factors other than color were coherently set or held constant and we chose brands with either low familarity or no previous knowledge. As a result, we find that brand attitude by the incongruity of color between mediums was higher compared to brand attitude by the congruence of color. In case with lower self-image congruence of brand-consumer we show higher change in attitude compared to the one with higher self-image congruence of brand-consumer. We believe our findings are interesting to note that brand may be enhanced by forming positive brand attitude through brand expression i.e., color of visual factors. In addition, we suggest that level of congruence and diversity of brand expression is in fact deeper or wider than that of brand manager's intuition. We see that it is possible for studying brands the incongruity which has been studied as a strategy to reposition mature brands can be a way of improving the recognition on new brands.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1035-1038
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• 2004

스테가노그라피는 비밀 정보를 이미지나 오디오, 비디오 또는 텍스트 등 커버(cover) 라고 불리는 다른 미디어에 숨겨서 전송하는 방법으로 제 3자는 정보가 숨겨져 있다는 사실 자체를 알지 못하도록 하는 것이다. 대부분 영상 데이터를 이용하고 있으나, 제한된 색으로만 구성된 이진 영상 및 다치 영상의 경우 비시각적으로 비밀 정보를 숨기는 것이 일반 컬러 또는 그레이 영상에 비해 어려움이 있다. 본 논문에서는 가중치 테이블을 사용하여 영상의 한 블록에 최대 2비트만을 변경시키면서 많은 양의 정보를 숨기는 방법을 제안한다.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.106-116
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• 2022

As part of the Fire Evacuation Service scenario using mobile applications, this study aims to find the appropriate colors to be used in the interface of the application and to define and apply colors that can positively and reliably affect human unstable psychology in the course of evacuating the room in case of fire. In the situation of fire, proper design and placement of the colored escape guidance interface is important, taking into account the psychology of the occupants. However, literature and previous research have shown that colors used to induce evacuation are not suitable for effective evacuation in case of fire. In this study, the purpose of the study was to provide a color that would provide psychological stability in the event of a evacuation in consideration of the psychological issues of those who are still in need of shelter, and to use it to help induce an efficient evacuation in the event of a disaster. Using the image evaluation method, the form and color of images have been derived through frequency analysis to a number of unspecified people, and the main and secondary colors of images were analyzed through KSCA color analysis. Finally, the final application color was constructed through mutual verification between the results by comparing and analyzing the colors obtained through the image evaluation analysis results and the KSCA color analysis results. The results of the study showed that the green line can help stabilize the human mind through comparative analysis with prior research. Therefore, the main color for guiding calm and calm applications in case of fire escape is proposed in the green line. In this study, the experiment with image evaluation cannot accurately measure the effect of factors on color among complex factors. A subsequent study of this will help quantify images if it allows the subject matter of color and image to be defined to some extent through factor analysis.

• Journal of KIISE
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• v.42 no.10
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• pp.1294-1302
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• 2015

A lot of image quality assessment metrics that can precisely reflect the human visual system (HVS) have previously been researched. The Structural SIMilarity (SSIM) index is a remarkable HVS-aware metric that utilizes structural information, since the HVS is sensitive to the overall structure of an image. However, SSIM fails to deal with color difference in terms of the HVS. In order to solve this problem, the Structural and Hue SIMilarity (SHSIM) index has been selected with the Hue, Saturation, Intensity (HSI) model as a color space, but it cannot reflect the HVS-aware color difference between two color images. In this paper, we propose a new image quality assessment method for a color image by using a CIE Lab color space. In addition, by using a support vector machine (SVM) classifier, we also propose an optimization system for applying optimal metric according to the types of distortion. To evaluate the proposed index, a LIVE database, which is the most well-known in the area of image quality assessment, is employed and four criteria are used. Experimental results show that the proposed index is more consistent with the other methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.144-156
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• 2014

This study analyzes effects of color marketing on brand charisma and marketing outcomes, specifically focused on agricultural goods co brand. that is color marketing refers to the extent to which people like color marketing and consists of symbolization, association and discrimination, and so called variables of marketing outcome is defined as the extent to which a color evokes meaning (loyalty, satisfaction, and switching barrier of brand). We collected statistically usable data from 266 questionnaire respondents who live in national provinces and analyzed them with SPSS 20.0 and Amos 5.0 to achieve research's goals. Based on the past studies, a total of three hypothesis are addressed in the study. Analysis results revealed that, first, color marketing of symbolization and association had a positive impacts on brand charisma. Second, the survey found that symbolization has q positive influence on brand loyalty and satisfaction except for switching barrier, association had an effect on brand loyalty, and discrimination had an effect on brand satisfaction. Third, brand charisma had an effect on brand loyalty and satisfaction. specially switching cost had not meaning on all hypothesis by reason of do not fully understand meaning of switching barrier. Summary and strategy implication will be mention in conclusion.

• Journal of Broadcast Engineering
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• v.26 no.3
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• pp.283-295
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• 2021

This paper proposes a method for generating dense depth map using information of color images and depth map generated based on lidar based on self-organizing map. The proposed depth map upsampling method consists of an initial depth prediction step for an area that has not been acquired from LiDAR and an initial depth filtering step. In the initial depth prediction step, stereo matching is performed on two color images to predict an initial depth value. In the depth map filtering step, in order to reduce the error of the predicted initial depth value, a self-organizing map technique is performed on the predicted depth pixel by using the measured depth pixel around the predicted depth pixel. In the process of self-organization map, a weight is determined according to a difference between a distance between a predicted depth pixel and an measured depth pixel and a color value corresponding to each pixel. In this paper, we compared the proposed method with the bilateral filter and k-nearest neighbor widely used as a depth map upsampling method for performance comparison. Compared to the bilateral filter and the k-nearest neighbor, the proposed method reduced by about 6.4% and 8.6% in terms of MAE, and about 10.8% and 14.3% in terms of RMSE.

• Food Science and Preservation
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• v.20 no.6
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• pp.760-765
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• 2013

The image analysis as a tool for evaluation of browning degree on fresh-cut lotus root was studied. The fresh-cut lotus root treated as 4 groups (Cont-without any treatment, DB-blanching at $50^{\circ}C$ for 5 min in distilled water, AB-blanching at $45^{\circ}C$ for 5 min in 1% ascorbic acid, CB-blanching at $45^{\circ}C$ for 5 min in 1% citric acid). The samples treated with each methods were packaged with 0.04 mm polyethylene bag ($25cm{\times}30cm$) and stored at $4^{\circ}C$ for 9 days. On the RGB color space, the AB and CB group showed high R, G, B value. On the HSV and CIE $L^*a^*b^*$ color space, the AB and CB group showed low browning area, $a^*$, $b^*$ value and high $L^*$ value. Polyphenol oxidase activity was low in the AB and CB groups in all storage period. This result means that the AB and CB groups were inhibited the development of tissue browning. The result of sensory evaluation also supported this opinion. And the correlation coefficient between sensory evaluation with all color values was over 0.84. Especially, the $L^*$ value showed the highest correlation coefficient (0.93). In conclusion, the image analysis is suitable for analysis of browning degree on fresh-cut lotus root by analyzing diverse color value.

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.77-82
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• 2017

The first objective of this paper is to develop the frame of design analysis and color plan strategy for the entire brand. A variety of analyses were carried out on the base of the I.R.I system and the semiotic viewpoint to develop the analysis frame for the entire brand meaning and color. The major part of the research is assigned to secure the validity of the analysis framework that is to be applied to the brand environment. Also, by SWOT analysis, analysis consistency has been maintained in design integration based on color frame. And theoretical review was made on color strategy planning. Through this, we attempt to explore the role of total brand strategy and color design requirements and analysis process. As a result, visualization of brand and color has been established by conceptualizing the ideal-type of commercial success. In conclusion, we have demonstrated the results of image analysis of whole brand through commercialization, visualization and expression through analysis and application of design process of total brand, and also showed the process of optimizing color design plan.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.103-110
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• 2015

Recently, Classification of characters in a 3D FPS game has emerged as a very significant issue. In this study, We propose the game character Classification method using Image Region Segmentation of the extracting meaningful object in a simple operation. In this method, first used a non-linear RGB color model and octree color quantization scheme. The input image represented a less than 20 quantized color and uses a small number of meaningful color histogram. And then, the image divided into small blocks, calculate the degree of similarity between the color histogram intersection and adjacent block in block units. Because, except for the block boundary according to the texture and to extract only the boundaries of the object block. Set a region by these boundary blocks as a game object and can be used for FPS game play. Through experiment, we obtain accuracy of more than 80% for Classification method using each feature. Thus, using this property, characters could be classified effectively and it draws the game more speed and strategic actions as a result.