• Journal of Fashion Business
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• v.20 no.4
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• pp.141-152
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• 2016

This study aims to draw the factors about the desired image of skinny jeans and to analyze the difference desired image, preference, and wearing satisfaction according to demographic characteristics. The data for this study were collected from men and women in their from 10s to 40s. This study used SPSS 20.0 for windows and factor analysis, t-test, one-way ANOVA were used to perform the statistical analysis on the survey data. The result showed that the desired image of skinny jeans was five. The difference results of skinny jeans according to demographic characteristics showed the significant difference in the comfortable and stylish image, the thin and long image, and the active image according to gender, in the bold and sensual image according to marital status, in the bold, comfortable, stylish, and sensual image according to age, in the bold image according to monthly income, and in the bold, thin, and sensual image according to occupation. The difference results about the preference of skinny jeans according to demographic characteristics showed that the groups of women, teenager, five millions won and over to six millions won in monthly income, owner-operators, service and production workers, office workers, middle and highschool students, and university students have the higher preference than the other groups. The difference analysis results about the wearing satisfaction of skinny jeans according to demographic characteristics showed that the groups of women, teenager, five millions won and over to six millions won in monthly income have higher wearing satisfaction than the other groups.

• The Research Journal of the Costume Culture
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• v.24 no.1
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• pp.93-106
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• 2016

Study objectives are: 1) to investigate the difference in consumer perceptions of the model's image and physical attractiveness according to advertising model types; 2) to explore the effect of the difference between the model's image and the consumer's self image, the difference between the model's image and the brand's image, and the physical attractiveness of the model on attitude toward the advertising model; and 3) to explore the effect of attitude toward the advertising model on attitude toward the advertisement. A total of 306 female consumers over the age of 45 participated in experiments with advertisement stimuli for a senior apparel brand. Results showed a significant difference in the model's images and physical attractiveness according to each model type. The consumer's attitude toward the advertising model was determined by physical attractiveness of the model, not by the difference between model's image and the consumers' self-image, nor by the difference between the model's image and brand image. Attitude toward advertisements was determined by attitude toward the advertising model. The findings imply that advertising models of a senior apparel brand can be selected based on the physical attractiveness of the model. Consumers do not consider whether the model's image fits well with their self-images or the brand's image when building an attitude toward the advertising model, and this precedes the consumer's attitude toward the advertisement. These results can be used as guidelines to select appropriate models for advertisements of senior apparel brands.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.573-577
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• 2016

In this paper, reversible data embedding scheme was proposed using the locality of image and the adjacent pixel difference sequence. Generally, locality exists in natural image. The proposed scheme increases the amount of embedding data and enables data embedding at various levels by applying a technique of predicting adjacent pixel values using image locality to an existing technique APD(Adjacent Pixel Difference). The experimental results show that the proposed scheme is very useful for reversible data embedding.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.4
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• pp.758-766
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• 2003

This paper proposes a tree-based hierarchical image mosaicing system using camera and object parameters for efficient video database construction. Gray level histogram difference and average intensity difference are proposed for scene change detection of input video. Camera parameter measured by utilizing least sum of square difference and affine model, and difference image is used for similarity measure of two input images. Also, dynamic objects are searched by through macro block setting and extracted by using region splitting and 4-split detection methods. Dynamic trajectory evaluation function is used for expression of dynamic objects, and blurring is performed for construction of soft and slow mosaic image.

• The KIPS Transactions:PartB
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• v.14B no.5
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• pp.361-368
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• 2007

In this paper, we propose a smoke detection method which is based on block-wise difference of image frames in video. Our proposed method is composed of three steps which are (a) the detection step of the changed regions against the background, (b) the background update step, and (c) the smoke determination step from the changed regions. We first construct the block mean Image of frames in video. And to extract the changed regions against the background, we use a block-wise difference between background's block mean image and a current input frame's block mean image. After applying projections in block-based difference images, we can determine the changed regions as rectangles using projections of difference images. we propose a update scheme of background's block mean image using the projections. We decide the smoke region using the femoral statistics of the central position and YUV color in the changed region.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.10
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• pp.874-880
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• 2002

A number of techniques have been proposed for 3D display using view-difference of two eyes. These methods do not express enough reality like real world. The display images have to change according to the position of a viewer to improve reality. In this paper, we present an approach for generating intermediate image between two different view images by applying new image interpolation algorithm The interpolation algorithm is designed to cope with complex shapes. The proposed image interpolation algorithm generates rotated image about vertical axes by any angle from base images. Each base image that was obtained from CCD camera has an view-angle difference of $3^{\circ}C$, $5.5^{\circ}C$, $^{\circ}C$, $22^{\circ}C$, and $45^{\circ}C$. The proposed into mediate image generation method uses the geometric analysis of image and depth information through the block-based matching method.

• Journal of radiological science and technology
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• v.25 no.1
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• pp.77-81
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• 2002

The purpose of this study is to examine quantitatively the relationship between visual image quality and degradation In spatial resolution for a gamma camera by the increase in distance from collimator. The relationship between the portion(p) of images identified the difference of image quality and the difference(${\Delta}FWHM$) in FWHM between paired images was showed in a sigmoid curve. Using Dendy's method, minimum level to be correctly identified the difference of Image duality on three out of four occasion(p=0.75) was corresponded to 0.4 mm in ${\Delta}FWHM$. Using fuzzy theory, the level to be identified the difference of image quality was examined under various conditions. The truth-value of fuzzy sets-degraded or slightly degraded and not-degraded in image quality between palled Images-was gained the peak at 0.5 mm of ${\Delta}FWHM$. It was founded that changes of $0.4{\sim}0.5\;mm$ in FWHM-corresponding about 2 cm distance from collimator could be sufficiently identified in the difference of image quality.

• Journal of the Korean Society of Costume
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• v.58 no.10
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• pp.148-163
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• 2008

The purpose of this study is to review the previous researches, to make clear the difference between general image and brand image in overseas luxury fashion brands. The questionaries were given to female residents in the ages of $20s'{\sim}40s'$ in Seoul and Kyung-gi province in October 2007. The collected data were analyzed by using SPSS 12.0 software such as paired t-test. The results of this study as fellows; 1. As the result of the analysis of the difference across general images, it was regarded as the most Reputed' and 'Conspicuous' image. 2. As the result of the analysis of the difference across brand images of oversea fashion luxury brands, it was regarded as the most Reputed' image. 3. As the result of analysis of the difference between general images and brand images in overseas fashion luxury goods, it was found out that Chanel brand was regarded as more 'luxurious' and 'original' image, on the other hand, Giorgio Armani and Burberry were not.

• Journal of Fashion Business
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• v.16 no.4
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• pp.64-74
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• 2012

The purpose of this study would be to find out the relationship of social as a sign of fashion image and the followership. This study is classified into theoretical and experimental research. Following are the summary of the results revealed through the experimental study. First, The relationship of oneself pursuit of fashion image types and leader's favourite fashion image types for regression analysis result indicated significant difference. Second, The factor analysis of followership are used, developed by Colangeol is asking. The results of factor analysis are four types classification as to Active Participation, Convergence objective, Team Spirit, Critical Thinking. Third, The relationship of types of fashion images and factor variance of followership indicated a difference in Active Participation factors. But The relationship of types of leader's fashion images and factor variance of followership indicated a difference in Convergence objective factors. Analysis of the fashion image based on the conceptual properties of followership is to understand the characteristics of followers, and the leader's image based on research for building materials will be provided.

• Journal of Korea Multimedia Society
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• v.21 no.9
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• pp.1044-1051
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• 2018

In this paper, we propose a new method to improve low light image. In order to improve the image quality of a night image with a moving object as much as the quality of a daytime image, the following tasks were performed. Firstly, we reduce the noisy of the input night image and improve the night image by the tone mapping method. Secondly, we segment the input night image into a foreground with motion and a background without motion. The motion is detected using both the difference between the current frame and the previous frame and the difference between the current frame and the night background image. The background region of the night image takes pixels from corresponding positions in the daytime image. The foreground regions of the night image take the pixels from the corresponding positions of the image which is improved by the tone mapping method. Experimental results show that the proposed method can improve the visual quality more clearly than the existing methods.