• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.157-160
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• 2003

Recently, several steganographic algorithms for two-color binary images have been proposed. In this paper, we propose a steganographic algorithm which embeds a secret message into bitmap images and palette-based images. To embed a message, the suggested algorithm divides a bitmap image into bit-plane images from LSB-plane to MSB-plane for each pixel, and considers each bit-plane image as a binary one. The algorithm splits each bit-plane image into m$\times$n blocks. and embeds a r-bit(r=[log$_2$(mn+1]-1) message into the block. And our schemes embed a message to every bit-plane from LSB to MSB to maximize the amount of embedded message and to minimize the degradation. The schemes change at most two pixels in each block. Therefore, the maximal color changes of the new algorithm are much smaller than other bit-plane embedding schemes' such as the substantial substitution schemes.

• Journal of Information Display
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• v.12 no.2
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• pp.77-83
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• 2011

The memory compression algorithm CCC-LCP (color-count-controlled local color palette) reduces flicker in the liquid crystal display (LCD) overdrive. Its compression ratio is 1:5.4 for 10-bit images, with a 33 dB PSNR peak signal-to-noise ratio and with five times flicker reduction compared with the block truncation coding. The authors' two-alternative forced choice subjective tests proposed two new soundness properties, the 'CMP harmlessness' and 'OD non-lost (or OD liveliness)', to clarify the functional interaction between the overdrive functionality OD and the compression functionality CMP. The tests verified that CCC-LCP is practically applicable (at a 1.2H viewing distance threshold) for 42" 37-ppi WXGA TVs.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.295-301
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• 1999

본 연구에서는 특정 대상에 대한 사람들의 심리적인 색채반응을 측정할 수 있는 색채감성척도(PCS)를 개발하고 이것을 색채 감성 이미지의 평가에 어떻게 이용하는가를 보여주고자 한다. 색채심리에 기초한 색채감성척도(PCS)는 NCS와 ISCC-NBS 색명법에 의거한 색상과 톤의 개념으로 구성되었으며 기본형과 상세형의 두 가지가 개발 되었다. 표준화된 색채감성척도는 각 사람들마다 다르게 나타나는 색에 관한 이미지나 색에 대한 심리적인 선호반응을 객관적으로 측정할 수 있는 척도로 활용될 수 있다. 본 연구에서는 선호색, 선호의상색, 선호 화장품 색을 나타내는데 PCS가 어떻게 활용되는가를 보여주었다. PCS를 이용한 색채 감성 이미지는 Color Image Palette를 이용하여 각각의 특성을 비교할 수 있도록 제시되기도 하였다. 색채 경험에 대한 광학적이거나 물리적인 속성이 아닌 심리적인 특성을 평가하고 서로 다른 집단의 반응을 비교 평가하는데 PCS와 유용한 도구가 될 것이다.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.53-54
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• 2018

This paper introduces an approach to detect motion areas of stationary objects when the camera slightly moves in the scene by computing optical flow. The flow field is computed by two pyramidal architectures of 5 levels which are built by down-sampling the size of the images by half at each level. Two pyramids of images are built and then optical flow is computed at each level. A warping process combines the information and generates a final flow field after applying edge smoothness and outliers reduction steps. Moreover, we convert the flow vectors in order of magnitude and angle to a color map using a pseudo-color palette. Experimental results in the Middlebury optical flow dataset demonstrate the effectiveness of our method compared to other approaches.

• 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 Fashion Business
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• v.20 no.1
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• pp.98-114
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• 2016

This research study was performed to compare between Korean traditional color and digital transfer textile printing. This would help to find the new direction to apply Korean traditional colors to modern textile industry. The objective of this study is to digitalize Korean traditional colors to be applied to modern textiles, based on research studies by previous researchers, on the actualization of Korean traditional colors for textiles. The study focused on 21 red colors among others. Digital color palette of graphic program was printed on 6 different polyester textiles by using digital transfer textile printing. Different things to be supplemented were found by comparing the results with the colors of Korean traditional standard color names. After measuring the colors, Munsell color system and CIE $L^*a^*b^*$ value were measured then comparative study was performed on the measured values using 3D graphs. Measured colors of Munsell varied by color but in overall, chroma became low while brightness became high. Color characteristic of warm colors got weakened by turning into cold colors as brightness got high but yellow and red got low due to the characteristics of CIE $L^*a^*b^*$ value. This study has limitations with color analysis of digital transfer textile printing due to standardization of textiles and standardization of traditional colors however it can support to actualize the colors for the design using traditional color names by visualizing the color change of digital transfer textile printing in the future.

• Korean Institute of Interior Design Journal
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• v.24 no.5
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• pp.42-50
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• 2015

In the 21st century, university library is changing into a new paradigm. Among others, color image emerges as an important aspect of the library. Up to now, studies on colors of indoor space have been limited on partial and specific spaces. But, this study, using the tool of emotional evaluation, aims to do a comprehensive research on color image of the whole space. This research uses the H University library completed in March 2015. This research is performed in the following procedure. First, previous related researches for the past ten years from 2005 to 2015 is examined, which will help understand the trends in this kind of research, and set up the concrete goal of research. By literature review, color image is established in the environmental psychological aspect. Second, to analyze colors, all the spaces of the library from the entrance lobby are filmed. Filmed images are changed into mosaic, and color palettes are composed, and color values are calculated using the Munsell color system. Third, emotional words are extracted, and emotional evaluation is made. Using the Semantic Differential scale method, emotional differences among subjects are compared, and the validity of the survey data is tested using the statistical program SPSS 18.0. As the outcome of the research shows, the color image and emotion in space are closely related. And, through emotion, it is possible to get color image, and this aspect can be scholastically systemized and developed.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.79-84
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• 2019

Based on the assumption that the environmental color of the general hospital would affect the psychological and emotional aspects of the users, this study conducted an emotional evaluation of the environmental color of the lobby of the general hospital. The purpose of the research is to examine the requirements of environmental colors that are more positive and give psychological satisfaction when planning the general hospital's environmental color. For this, eight major general hospitals in Korea were directly inspected for environmental colors, and based on this, color palette was created to conduct an emotional vocabulary evaluation. As a result, it was found that the effects of brightness among the color factors affecting the environmental color sensitivity evaluation were greater, and that the greater the variation in the range of degrees and colors, the more negatively it was found to affect the emotional response.

• Science of Emotion and Sensibility
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• v.12 no.2
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• pp.205-214
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• 2009

This paper addresses analyzing affective color data for emotional interior design. Both the physical and psychological patterns for spatial colors were tested on thirty subjects, of which fifteen were male. All subjects participated in both the physiological and psychological experiments. The data on the reflecting subjects' affective moods is gathered through EEG physical experiments and SD (Semantic Differential Scale) method surveys. This research has suggested the relation of both experiments through affective color response. The methods of SPSS 10.0 and TeleScan Version 2 are used for analyzing response data to coordinate the colour palette with changeable moods. From the analysis of statistical data, all of the visual stimuli related emotional keywords and physiological responses. Finally, the initial goal of this research is to construct an affective colour database that is tested through human color perception by physical and psychological experiments.

• Journal of IKEEE
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• v.28 no.3
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• pp.352-359
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• 2024

This paper proposes a CNN-ViT hybrid model that automatically evaluates the aesthetic quality of images by combining local and global features. In this approach, CNN is used to extract local features such as color and object placement, while ViT is employed to analyze the aesthetic value of the image by reflecting global features. Color composition is derived by extracting the primary colors from the input image, creating a color palette, and then passing it through the CNN. The Rule of Thirds is quantified by calculating how closely objects in the image are positioned near the thirds intersection points. These values provide the model with critical information about the color balance and spatial harmony of the image. The model then analyzes the relationship between these factors to predict scores that align closely with human judgment. Experimental results on the AADB image database show that the proposed model achieved a Spearman's Rank Correlation Coefficient (SRCC) of 0.716, indicating more consistent rank predictions, and a Pearson Correlation Coefficient (LCC) of 0.72, which is 2~4% higher than existing models.