• Journal of the Korean Society of Costume
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• v.52 no.8
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• pp.55-71
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• 2002

The purpose of this study was to identify a basic meaning of humor from the costume expressing cartoon image, to grasp the status of contemporary costume, and also to supply people with a database related to the sphere of costume design. This was done by analyzing and examining humor of the costume expressing cartoon image in post-industrial society. Consequently, the result of this study was summarized as follows; First, humor by parody of Pop Art is recognized as humorous expression that repulsed the main current culture and post-industrial society phenomenon. Second, humor by quotation tends to appear through cartoon character. Costume which quote cartoon character is against Kidult tastes and the pre-existing authoritative prejudices in post-industrial society. Third, humor by bricolage, making bricolage with silhouette, color, pattern item, is recognized as new creation of humor In other words, it is regarded as enlargement of new esthetic consciousness and humor about instrumented gender in post-industrial society. Lastly, humor by deformation expressed itself in deformation of body image of character and cloth silhouette by cartoon image. Deformation of cloth silhouette by cartoon image, being not conscious pre-existing concept of harmony of human and costume, is recognized as humor which have characteristic of play with introduction of new silhouette. In addition to, the result of this study showed that humor expressed in cartoon image of costume has been limited to the works of few designers because of characteristics of fashion designers who made use of popularity as subjects of the works and internal meanings which were related to the characteristics of post-industrial society.

• Journal of Distribution Science
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• v.15 no.1
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• pp.71-81
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• 2017

Purpose - Consumers heuristically have a specific stereotype on the price level of individual retail format because each format provides them with a different level of purchase satisfaction and emotional benefits. However, if price image which is consumers' overall impression of the aggregate price level of a retailer does not match with their expectations, its price level would be perceived as unfair. It will eventually lead to dissatisfaction and decreased revisit intention. Focused on department store and discount store, this study was designed to verify whether the price fairness plays a role of mediating effect on two influential relationships between price image and post-purchase satisfaction, and price image and repatronage intention. Research design, data, and methodology - A main survey was conducted to 140 students and 128 effective responses were used for the related analysis. T-test, factor analysis, reliability test, and mediated regression analysis were performed. Six hypotheses were developed to examine the mediating effect of price fairness on the two influential relationships between price image and post-purchase satisfaction, and price image and repatronage intention. It was also examined whether the price image of two different retail format is formed differently or not. Results - People perceived the price images of the two retail formats differently. Overall price level of department store is much higher than that of discount store. Analysis results showed that price image did not solely have a significant influence on post-purchase satisfaction unless price fairness as a mediating variable is added. Price fairness turned out to be having a significant influence on relationship between price image and repatronage intention. It influences on repatronage intention directly and also via price fairness. Conclusions - Post-purchase satisfaction can be achieved only if people perceive the price image as fair no matter how the price level is high or low according to traits of retail formats. If they think it's not fair, they would disapprove of the rightness for the price image, and also express their dissatisfaction with it. Consumers willingly make repeated visits to a store if they are convinced of appropriate price level which is perceived as fair, and if they experienced a satisfaction with overall benefits a particular store offered.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.959-969
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• 2021

This study aims to develop new constructs and indicators for sharia destination image, and then examine its effects on perceived value, tourist satisfaction, and post-visit behaviour. Furthermore, it analyses the mediating role of perceived value and tourist satisfaction on relationship between sharia destination image and post-visit behaviour. The population were domestic and Malaysian Muslim tourists who visited Aceh during the study period. The sampling was carried out in two stages. The first stage involved selecting most visited districts. The second stage involved randomly selecting tourists who visit during the study period in the districts. Data was collected using a structured questionnaire with a Likert scale. Also, a total of 270 questionnaires were distributed to domestic and Malaysian tourists in Aceh. Cluster sampling was used to determine the sample area, and purposive sampling technique was used to determine the study sample. Furthermore, the data analysis technique is Structural Equation Modelling. The results showed that the sharia destination image has a significant effect on perceived value. Meanwhile, the perceived value significantly influenced tourist satisfaction and post-visit behaviour. In addition, the perceived value and tourist satisfaction can mediate the effects of sharia destination image, which has no direct effect on post-visit behaviour.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.347-357
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• 2020

This study intended to examine the nature of image which uses the network as the medium in the context of 'post-internet art' and categorize and analyze the cases of applications within art images. In the post-internet art which embraces the background of Web 2.0 and extended digital and network environment, image is transformed and re-mediated into various formats beyond fixed forms. Hito Steyerl defined the image, copied, downloaded, and reedited digitally in low quality as 'poor image.' Young artists, the digital native generation, capture and re-contextualize the changed network environment and depict it in various images. In this context, the application of image in post-internet art can be categorized and analyzed into the 'Image Collected as Material' produced by collecting and recomposing images found in social media, operating system, and website, 'Image Processed through Work' which is newly processed and re-contextualized by using editing programs, and 'Combined Digital-Reality Image' which represents the section of the digital society as the film and image that combine virtuality and reality.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.3
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• pp.49-58
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• 2020

Image interpolation, a technology that converts low resolution images into high resolution images, has been widely used in various image processing fields such as CCTV, web-cam, and medical imaging. This technique is based on the fact that the statistical distributions of the white Gaussian noise and the difference between the interpolated image and the original image is similar to each other. The proposed algorithm is composed of three steps. In first, the interpolated image is derived by random image interpolation. In second, we derive weighting functions that are used to apply non-local mean filtering. In the final step, the prediction error is corrected by performing non-local mean filtering by applying the selected weighting function. It can be considered as a post-processing algorithm to further reduce the prediction error after applying an arbitrary image interpolation algorithm. Simulation results show that the proposed method yields reasonable performance.

• Fashion & Textile Research Journal
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• v.13 no.6
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• pp.866-876
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• 2011

We find ourselves living in a post-human era when technology and images coexist with humans. A cyborg, a combination of an organic body and a machine could be called a human fused with a machine. It could be understood as a new species where humans and machines have combined rather than simple protoplasm or an organic body. The purpose of this study is to demonstrate that a concept of a body in post humanism era is finding expression in fashion illustration through cyborg images. The concepts of post humanism and cyborg are analysed by means of research into literature and characteristics in which cyborg images as post humans are expressed through art, and images of a cyborg body in fashion illustration and their meanings are explored with the foregoing as a framework of reference. Cyborg image reflects new images and concept of a human in post humanism. The cyborg body images in fashion illustration are expressed through the addition of mechanical images, digital virtual body, monster image by means of hybrid combination, distorted physical transformation and fragmented body and body absence. And cyborg image in fashion illustration shows the extension of body concepts through the technology and uncertain and ambiguous identity.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.4
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• pp.648-661
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• 1997

This paper presents a new method for post-processing of coded images based upon the low-pass filtering followed by the projection onto the NQCS (narrow quantization constraint set). We also investigate how the proposed method works on JPEG-coded real images. The starting point of the QCS-based post-processing techniques is the centroid of the QCS, where the original image belongs. The low-pass filtering followed by the projection onto the QCS makes the images lie on the boundary of the QCS. It is likely that, however, the original image is inside the QCS. Hence projection onto the NQCS gives a lower MSE (mean square error) than does the projection onto the QCS. Simulation results show that setting the narrowing coefficients of the NQCS to be 0.2 yields the best performance in most cases. Even though the JPEG-coded image is low-pass filtered and projected onto the NQCS repeatedly, there is no guarantee that the resultant image has a lower MSE and goes closer to the original image. Thus only one iteration is sufficient for the post-processing of the coded images. This is interesting because the main drawback of the iterative post-processing techniques is the heavy computational burden. The single iteration method reduces the computational burden and gives us an easy way to implement the real time VLSI post-processor.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.709-716
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• 2020

In social media, when posting a post, tag information of an image is generally used because the search is mainly performed using a tag. Users want to expose the post to many people by attaching the tag to the post. Also, the user has trouble posting the tag to be tagged along with the post, and posts that have not been tagged are also posted. In this paper, we propose a method to find an image similar to the input image, extract the label attached to the image, find the posts on instagram, where the label exists as a tag, and recommend other tags in the post. In the proposed method, the label is extracted from the image through the model of the convolutional neural network (CNN) deep learning technique, and the instagram is crawled with the extracted label to sort and recommended tags other than the label. We can see that it is easy to post an image using the recommended tag, increase the exposure of the search, and derive high accuracy due to fewer search errors.

• Journal of Korean Academy of Nursing
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• v.37 no.4
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• pp.603-612
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• 2007

Purpose: The purpose of this study was to verify the effect of aromatherapy massage on abdominal fat and body image in post-menopausal women. Method: A Non-equivalent control group pre-post test Quasi-experimental design of random assignment was applied. All subjects received one hour of whole body massage as treatment by the same researcher every week for 6 weeks. Participants also massaged their own abdomen two times everyday for 5 days each week for 6 weeks, The two groups used different kinds of oil. The experimental group used 3% grapefruit oil, cypress and three other kinds of oil. The control group used grapeseed oil. Data was collected before and after the treatment using Siemens Somatom Sensation 4, a tape measure and MBSRQ. Data was analyzed by ANCOVA using the SPSS/PC+Win 12 Version. Result: Abdominal subcutaneous fat and waist circumference in the experimental group significantly decreased after aromathetapy massage compared to the control group. Body image in the experimental group was significantly better after aromathetapy massage than in the control group. Conclusion: These results suggest that Aromatheapy massage could be utilized as an effective intervention to reduce abdominal subcutaneous fat, waist circumference, and to improve body image in post-menopausal women.

• Korean Journal of Geomatics
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• v.1 no.1
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• pp.43-49
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• 2001

Although many kinds of stereo matching method have been developed in the field of computer vision and photogrammetry, wrong matches are not easy to avoid. This paper presents a new method to reduce wrong matches after matching, and experimental results are reported. The main idea is to analyze the histogram of the image attribute differences between each pair of image patches matched. Typical image attributes of image patch are the mean and the standard deviation of gray value for each image patch, but there could be other kinds of image attributes. Another idea is to check relative position among potential matches. This paper proposes to use Gaussian blunder filter to detect the suspicious pair of candidate match in relative position among neighboring candidate matches. If the suspicious candidate matches in image attribute difference or relative position are suppressed, then many wrong matches are removed, but minimizing the suppression of good matches. The proposed method is easy to implement, and also has potential to be applied as post processing after image matching for many kinds of matching methods such as area based matching, feature matching, relaxation matching, dynamic programming, and multi-channel image matching. Results show that the proposed method produces fewer wrong matches than before.