• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.5
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• pp.753-768
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• 1996

The purpose of this study is to find out the effect of suit color, necktie color and necktie patterns on the men's suit image formation. The experimental materials developed for this study were a set of stimuli and response scales. The stimuli were 28 color pictures manipulated with suit color, necktie color and necktie patterns by computer drawing. The experimental design consists of 3 factorial design; 1) suit color (navy blue, beige), 2) necktie color (analogous, complimentary color), 3) necktie patterns (plain, dot, stripe, check, paisley, floral, abstract) The 7-point semantic differential response scale designed for visual evaluation of men's suit image on suit color, necktie color and necktie patterns were composed of 34 bipolar adjectives. The subject are 150 female undergraduate students in Chin-ju city. They responded twice to 14 stimuli at random order The result of this study are as follows; 1. By analyzing the responses of the subjects, 4 factors emerged in the dimensional structure of the men's suit image formed by suit color, necktie color and necktie patterns. The 4 factors are charm, potency, uniqueness and tenderness. Among these, charming and potential factors proved to be more important. 2. necktie color, suit color and neckite patterns had the significant effect on the formation of men's suit image. In the charm image, only necktie patterns were proved to be the most dominant variable. The most dominant variable in the potencial and unique image was necktie color and second to it suit color was important. But suit color was most significant in the image of tenderness. 3. In the effects of interactions between each variables, the combination of suit color and necktie color wins more significant than that of suit color and necktie patterns and that of necktie color and necktie patterns, but in the image of tenderness, only the combination of suit color and necktie color was more significant. In the interaction of suit color, necktie color and necktie patterns, the potential factor didn't have the significant effect.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2005.05a
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• pp.329-334
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• 2005

Most people are using a Color-CCD-Camera in other to acquire a color image. But we are getting a color image with the Monochrome-CCD-Camera equipped for Rotation-Color-Filter in front of the camera lens. The Monochrome CCD Camera has some advantages such as the low price. In addition Rotation-Color-Filter's design is very simple. So we can make this structure easily and economically. In this paper, we described how to make a color image from Monocrome-Camera and correcting color well.

• Journal of the Korean Society of Costume
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• v.62 no.6
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• pp.38-52
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• 2012

The purpose of this study is to confirm the international unique color sensibility according to the ethnic color preferences. The existing studies about color sensibility were investigated to analyze the international color sensibility. The countries were chosen according to its, strong regional and racial color. Also, the documents and websites about environment color such as structure color, natural feature color, traditional folk costume color and customary color names were investigated, and then, the international color sensibility was analyzed by using the color image scale. As a result of the analysis about the differences of color sensibility, internationally distinguished color sensibility was discovered. There were differences not only for the preference trend of hue but also for the tone or contrast of color among the selected countries. Especially, Great Britain had a strong preference for G categories that they preferred the warm-grayish color image. Russia has a preference for R, G, and B categories with the preference for the warm-clear image. Netherlands had a preference for R, Y, and PB categories and it preferred the cool-hard-grayish, warm-soft-clear image. Italy had a preference for R and Y categories and it preferred the warm-clear image. Morocco had a preference for R and B categories and it preferred the warm and cool, clear image. Japan had a preference for R, G categories and it preferred the warm-grayish image. Korea had a preference for R and B categories and it preferred the warm-soft-clear, and cool-clear image. With these results, the researcher concludes that the integrated analysis of the environment color and the traditional racial color factors are very persuasive methods to comprehend the international color sensibility.

• Journal of the Korean Graphic Arts Communication Society
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• v.22 no.2
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• pp.163-178
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• 2004

In this study, the CIE RGB color space which was one of the most popular device-dependent application program in digital image processing was adopted to make the profile with the device information. The profile was applied to the digital image of a JPEG file format. The result was compared with the color reproduction of another digital image of a JPEG file format, which was made in the e-sRGB color space that had the color spaces allocated to each reproduced color of an image and device-independent colors. In this way it was investigated which color space was more appropriate for digital image processing for web printing and if the e-sRGB color space was good as a color management tool that didn't depend on a device in processing a digital image for web printing.

• Journal of Korea Multimedia Society
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• v.18 no.12
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• pp.1453-1461
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• 2015

Since digital images and videos are rapidly increasing in the internet with the spread of mobile computers and smartphones, research on image retrieval has gained tremendous momentum. Color, shape, and texture are major features used in image retrieval. Especially, color information has been widely used in image retrieval, because it is robust in translation, rotation, and a small change of camera view. This paper proposes a new method for histogram refinement based on local color difference. Firstly, the proposed method converts a RGB color image into a HSV color image. Secondly, it reduces the size of color space from 256³ to 32. It classifies pixels in the 32-color image into three groups according to the color difference between a central pixel and its neighbors in a 3x3 local region. Finally, it makes a color difference vector(CDV) representing three refined color histograms, then image retrieval is performed by the CDV matching. The experimental results using public image database show that the proposed method has higher retrieval accuracy than other conventional ones. They also show that the proposed method can be effectively applied to search low resolution images such as thumbnail images.

• Archives of design research
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• v.19 no.3 s.65
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• pp.31-44
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• 2006

With 'the improvement of brand image through the consolidation of the online and offline brand images' as the goal, the focus of this study lies in brand color. In order to analyze the differences between the website and offline image of a brand, as felt by the consumers, a survey on color image was conducted. Using the results of the survey as the foundation, a comparative analysis of online and offline color images was conducted, and the discrepancies between the two specified. Furthermore, solutions in creating websites that cultivate brand consolidation through color consolidation are presented. Using the thesis 'Research on the Color Strategy of Brand-name Coffees,' as a guide, and supplementing it with necessary improvements, this study presents three areas to consider when designing or managing websites for offline brands. First of all, color image is not static but variable, meaning that it appeals to the consumers differently, depending on change in other brands, trends, consumer point of view, etc. Thus, color image must be flexible. Secondly, overall brand image can be improved by its offline color. However, it should be realized that identical colors could produce different results online and off. Lastly, in general, the online image falls behind the offline image, in regard to color strategy. Therefore, more meticulous and carefully planned color design is necessary, as is the consideration of the unique and distinctive qualities of the World Wide Web.

• Agricultural and Biosystems Engineering
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• v.3 no.1
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• pp.35-43
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• 2002

The spectral color resolution of an image is very important in color image analysis. Two factors influencing the spectral color resolution of an image are illumination intensity and lens aperture for a selected vision system. An optimal combination of illumination intensity and lens aperture for color image analysis was determined in the study. The method was based on a model of dynamic range defined as the absolute difference between digital values of selected foreground and background color in the image. The role of illumination intensity in machine vision was also described and a computer program for simulating the optimal combination of two factors was implemented for verifying the related algorithm. It was possible to estimate the non-saturating range of the illumination intensity (input voltage in the study) and the lens aperture by using a model of dynamic range. The method provided an optimal combination of the illumination intensity and the lens aperture, maximizing the color resolution between colors of interest in color analysis, and the estimated color resolution at the combination for a given vision system configuration.

• Korean Journal of Human Ecology
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• v.17 no.2
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• pp.355-366
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• 2008

The purpose of this study is to investigate the effects of eye shadow color(brown, purple), lipstick color(red, red purple, and yellow red), and lipstick tone(vivid, light, dull, and dark) and clothing tone(vivid, light, dull, and dark) on image formation. Sets of stimulus and response scales(7 point semantic) were used as experimental materials. The stimuli consisted of 64 color photos manipulated with the combination of eye shadow color, lipstick color, lipstick tone, and clothing tone using computer simulation. The subjects were 384 female undergraduates living in Gyeongnam Province. Image factor of the stimulus was composed of 4 different components: attractiveness, visibility, cuteness, and stability. Eye shadow color, lipstick tone and clothing tone independently influenced on visibility, cuteness, and stability. Lipstick color independently influenced on the stability. In color coordination of clothing and makeup of the same hue, 1) visibility image can be created by the coordination of eye shadow color with lipstick color or clothing tone, or lipstick color with lipstick tone. 2) Cuteness image can be produced by the coordination of eye shadow color with lipstick or clothing tone, lipstick color with lipstick or clothing tone. 3) Stability image can be showed by the coordination of eye shadow color with lipstick tone.

• Journal of Fashion Business
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• v.9 no.2
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• pp.20-27
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• 2005

To find suitable color for an individual is very important in personal image-making. In recent years, the importance and role of personal image is also more emphasized. This study deals with the necessity d personal color system and the proposal of color which looks nice on a person as a result d personal color system. It also includes the method of making personal image by balancing between and using both favorite color and unfavorite color. Besides, I study how does the color image affect the personal appearance image in this paper. From clinical experiments, I concluded as follow. First, Each person has his suitable color. When the color is used, the color, pimples, flows and so on are covered and defects of his face are made up for. Second, By changing the factors of his own original color-group and decision factors - color d skin, hair, eye, etc -, I can change personal color-group. Third, The image of color affects the personal appearance image, when it used in make-up and hair-color. Considering above results, If one uses one's suitable color, one will complement defects done's face and improve merits of one's. Besides, One will be more confident and active by using one's suitable color.

• IEIE Transactions on Smart Processing and Computing
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• v.1 no.1
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• pp.8-16
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• 2012

An image obtained from a low light environment results in a low-exposure problem caused by non-ideal camera settings, i.e. aperture size and shutter speed. Of particular note, the multiple color-filter aperture (MCA) system inherently suffers from low-exposure problems and performance degradation in its image classification and registration processes due to its finite size of the apertures. In this context, this paper presents a novel method for the color enhancement of low-exposure images and its application to color shift model-based MCA system for image refocusing. Although various histogram equalization (HE) approaches have been proposed, they tend to distort the color information of the processed image due to the range limits of the histogram. The proposed color enhancement algorithm enhances the global brightness by analyzing the basic cause of the low-exposure phenomenon, and then compensates for the contrast degradation artifacts by using an adaptive histogram specification. We also apply the proposed algorithm to the preprocessing step of the refocusing technique in the MCA system to enhance the color image. The experimental results confirm that the proposed method can enhance the contrast of any low-exposure color image acquired by a conventional camera, and is suitable for commercial low-cost, high-quality imaging devices, such as consumer-grade camcorders, real-time 3D reconstruction systems, digital, and computational cameras.