• Journal of the Korean Society of Costume
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• v.60 no.7
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• pp.61-73
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• 2010

This study aims to develop an fashion color design system based on personal color and sensorial images. This web-based system has a parallel structure which a user can search her own personal color, sensorial, and fashion images. The fashion image was presented according to the type of personal color image and sensorial image: futuristic fashion image from alluring image on all of personal color images; elegant fashion images from calm with pure/splendid images or faint/calm with alluring images; modern fashion image from pure/calm with alluring images or faint with lively images; plain fashion image from plain images with all personal color images but pure image; romantic fashion image from calm image with all personal color images but calm image. Fashion color and color combination palettes based on personal color images were presented with the each of those fashion images.

• Journal of the Korean Society of Costume
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• v.50
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• pp.23-32
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• 2000

This study was performed to investigate the mothers' preferences for their children's clothing images and color images. Questionaries were analysed by factor analysis cluster analysis one way ANOVA x2 -test. The results are as follow: First the preferred clothing images for children have no differences across gender. The preferred images are active tidy and fashionable. Second the preferred clothing images are according to season. In the case of clothing color images the preferences in spring and summer seasons are differed from fall and winter seasons. Third factors of boy's clothing image were fashionable cute splendid and classic And factors for girl's clothing image were lively tidy fashionable and classic. These factors revealed the differences of preferences between boys and girls clothing image. Fourth the preferences of clothing color image for children changed across seasons. Bright and neat color images were preferred in spring and summer warm and deep color images were preferred in fall and winter. Fifty the preferences of clothing images classified into four groups and each group has the different preference in color tone. Finally Season and gender were revealed to be more important variables in the preferences of children's clothing image and color image.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2007.10b
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• pp.78-83
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• 2007

The colors have a close to our life and there are many color names derived from plants in Japan. This study aimed to analyze relationship people and plants and investigated what the images of colors derived from plants related to the color names. Surveys on color images of abstract and concrete were conducted with adults who lived in the metropolitan area and in urban areas. The subjects were surveyed about images of similar colors derived from plants(3 type of similar two colors; pink, green and yellow) and asked to select a pair of color names(momo or pink, midori or green, yamabuki or lemon) corresponding to the color. The subjects were simultaneously presented with two similar colors and asked to give their perceptions of each color against 13 polar opposite pairs of terms or phrases using a Semantic Differential Scale, and asked to select the number of the 16 items concerned with life such as clothes and food. With the pink colors, many subjects did not feel opposite abstract images between these two similar colors and felt the same concrete images such as 'cosmetics' and 'clothes', and these color names such as momo and pink are confused. With the green colors and the yellow colors, many subjects felt opposite abstract images between these two similar colors such as 'natural - artificial' and 'rural - urban' and different concrete images such as 'plants' and 'plastics', and these two similar colors are distinguished by the color names such as 'midori - green' and 'yamabuki - lemon'. The results revealed that there are two patterns in the relationship colors derived from plants, color images and color names. In the pattern which images of colors derived from plants are connected with artificial things irrelevant to plants, the color names corresponding to the two similar colors are confused. On the other hand, in the pattern which images of colors derived from plants are connected with plants and artificial things, the two similar colors are distinguished by their color names. So demographics influenced the images of color, younger subjects compared with older tend to obviously distinguish images of colors derived from plants, and there are images of color influenced by the environment as a child. In both patterns, images of colors derived from plants are influenced by artificial things and natural colors are limited among many people. These results indicate that there are a few opportunities to see colors of plants which are full of variety. These results suggest that it is necessary to recognize colors derived from plants in relation to plants and to educate regarding the nature of plants, therefore landscape architecture focused on colors of plants is required.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.9 no.2
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• pp.73-79
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• 2010

The most popular technique for image retrieval in a heterogeneous collection of color images is the comparison of images based on their color histogram. The color histogram describes the distribution of colors in the color space of a color image. In the most image retrieval systems, the color histogram is used to compute similarities between the query image and all the images in a database. But, small changes in the resolution, scaling, and illumination may cause important modifications of the color histogram, and so two color images may be considered to be very different from each other even though they have completely related semantics. A new method of color feature representation based on the 3-dimensional RGB color map is proposed to improve the defects of the color histogram. The proposed method is based on the three 2-dimensional projection map evaluated by projecting the RGB color space on the RG, GB, and BR surfaces. The experimental results reveal that the proposed is less sensitive to small changes in the scene and that achieve higher retrieval performances than the traditional color histogram.

• Journal of information and communication convergence engineering
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• v.2 no.2
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• pp.123-127
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• 2004

The most popular technique for image retrieval in a heterogeneous collection of color images is the comparison of images based on their color histogram. The color histogram describes the distribution of colors in the color space of a color image. In the most image retrieval systems, the color histogram is used to compute similarities between the query image and all the images in a database. But, small changes in the resolution, scaling, and illumination may cause important modifications of the color histogram, and so two color images may be considered to be very different from each other even though they have completely related semantics. A new method of color feature representation based on the 3-dimensional RGB color map is proposed to improve the defects of the color histogram. The proposed method is based on the three 2-dimensional projection map evaluated by projecting the RGB color space on the RG, GB, and BR surfaces. The experimental results reveal that the proposed is less sensitive to small changes in the scene and that achieve higher retrieval performances than the traditional color histogram.

• Journal of the Korean Society of Costume
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• v.66 no.6
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• pp.158-177
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• 2016

In recent years, K-beauty including Korean cosmetics and beauty care tips, is becoming popular in various Asian countries such as China and Vietnam along, with the popularity of the Korean wave. Color images are a highly effective tool in establishing image development strategies in the process of developing cosmetic brands. Surveys on the color images of K-beauty perceived by foreigners need to be preceded for the development of differentiated images and the establishment of management strategies regarding K-beauty. Therefore, the purpose of this study was to examine the color images perceived by Asian consumers about K-beauty, and come up with measures to facilitate K-beauty. To this end, this study selected the two countries, China and Vietnam that show high levels of acceptance of K-beauty, and compared the color images of K-beauty perceived by female consumers in these countries. Then, the study visually suggested these images with color palettes, and compared differences in the perception of color images according to demographic characteristics. Beijing and Shanghai showed similar degrees of perception in most color images of K-beauty whereas Hanoi showed a lower perception level. K-beauty color images were classified into 6 groups: feminine, natural, elegant, modern, sensual, active, and popular, which represent symbolic images of K-beauty.

• Journal of the Korean Society of Costume
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• v.55 no.6 s.96
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• pp.1-14
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• 2005

The purpose of this study is to examine the makeup color range for developing the new makeup product line of domestic cosmetic brand, and suggest the special color stories and color palettes appropriate to characteristics of brand image For this study, personal color images are analyzed and classified through the literature survey of Korean womens' skin rotor like korean PCDS and japanese PCS. Also, a total of 3879 colors were selected from the 18 cosmetic brands and were analyzed by hue/tone color system. Based on the color analysis, the color range for makeup products are determined, and the typical colors of 4 personal color images are suggested. As a results, personal color images are classified into 4 types: DEW of p, lt, b tone; FLASH of s, v tone; MIST of ltg, g, sf, d tone; TERRA of dk, dkg, dp tone. we developed the color stories through five senses and lifestyles based on the consumers' emotion, and the rotor palettes suitable to each type of personal color images are developed.

• Journal of the Korean Home Economics Association
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• v.48 no.3
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• pp.125-134
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• 2010

The purpose of this study was to analyze the characteristics and images of colors in the stewardess's uniforms. For this study, 530 color samples were selected by extracting digital color data by using the Eyedropper Tool of Photoshop 7.0. The RGB color data were transformed into H V/C and the attributes of colors and tones were analyzed. The color images were analyzed with the color image scales of IRI and Shigenobu Kobayashi. As a results, purple-blue(21.7%), neutral(20.9%), red(17.9%) and yellow(10.8%) were found to be the most frequently used colors. In the tone analysis, vivid tone(18.7%) occupied high frequency and the next orders were white(17.4%), dark grayish(12.8%), light(8.5%), dark(8.1%). The color images were focused on dynamic, modern, casual, gorgeous, classic, elegance images in the color image scales of IRI and Kobayashi.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.1233-1243
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• 2015

The contrast enhancement is great challenge in the image processing when images are suffering from poor contrast problem. Therefore, in order to overcome this problem an automatic method is proposed for contrast enhancement of natural color images. The proposed method consist of two stages: in first stage lightness component in YIQ color space is normalized by sigmoid function after the adaptive histogram equalization is applied on Y component and in second stage automatic color contrast enhancement algorithm is applied on output of the first stage. The proposed algorithm is tested on different NASA color images, hyperspectral color images and other types of natural color images. The performance of proposed algorithm is evaluated and compared with the other existing contrast enhancement algorithms in terms of colorfulness metric and color enhancement factor. The higher values of colorfulness metric and color enhancement factor imply that the visual quality of the enhanced image is good. Simulation results demonstrate that proposed algorithm provides higher values of colorfulness metric and color enhancement factor as compared to other existing contrast enhancement algorithms. The proposed algorithm also provides better visual enhancement results as compared with the other existing contrast enhancement algorithms.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.4
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• pp.319-326
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• 2017

SAR (Synthetic aperture radar) images are less affected by the weather compared to optical images and can be obtained at any time of the day. Therefore, SAR images are being actively utilized for military applications and natural disasters. However, because SAR data are in grayscale, it is difficult to perform visual analysis and to decipher details. In this study, we propose a color mapping method using RF (random forest) regression for enhancing the visual decipherability of SAR images. COSMO-SkyMed 2 and WorldView-3 images were obtained for the same area and RF regression was used to establish color configurations for performing color mapping. The results were compared with image fusion, a traditional color mapping method. The UIQI (universal image quality index), the SSIM (structural similarity) index, and CC (correlation coefficients) were used to evaluate the image quality. The color-mapped image based on the RF regression had a significantly higher quality than the images derived from the other methods. From the experimental result, the use of color mapping based on the RF regression for SAR images was confirmed.