• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1245-1252
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• 2013

As the usage of digital image contents increase, a security problem for the payed image data or the ones requiring confidentiality is raised. This paper propose a depth-map image contents encryption methodology to hide the depth information. This method is performed on the frequency coefficients in the Wavelet domain. This method, by selecting the level and threshold value for the wavelet transform, encryption at various strengths are possible. The experimental results showed that encrypting only 0.048% of the entire data was enough to hide the constants of the depth-map. The encryption algorithm expected to be used effectively on the researches on encryption and others for image processing.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.77-82
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• 2022

The research study was conducted for development of the advanced image analysis service system based on deep learning. CNN(Convolutional Neural Network) is built in this system to extract learning data collected from Google and Instagram. The service gets a place image of Jeju as an input and provides relevant location information of it based on its own learning data. Accuracy improvement plans are applied throughout this study. In conclusion, the implemented system shows about 79.2 of prediction accuracy. When the system has plenty of learning data, it is expected to predict various places more accurately.

• Journal of Biomedical Engineering Research
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• v.44 no.4
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• pp.293-301
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• 2023

Scoliosis is a three-dimensional deformation of the spine that is a deformity induced by physical or disease-related causes as the spine is rotated abnormally. Early detection has a significant influence on the possibility of nonsurgical treatment. To train a deep learning model with preprocessed images and to evaluate the results with and without data augmentation to enable the diagnosis of scoliosis based only on a chest X-ray image. The preprocessed images in which only the spine, rib contours, and some hard tissues were left from the original chest image, were used for learning along with the original images, and three CNN(Convolutional Neural Networks) models (VGG16, ResNet152, and EfficientNet) were selected to proceed with training. The results obtained by training with the preprocessed images showed a superior accuracy to those obtained by training with the original image. When the scoliosis image was added through data augmentation, the accuracy was further improved, ultimately achieving a classification accuracy of 93.56% with the ResNet152 model using test data. Through supplementation with future research, the method proposed herein is expected to allow the early diagnosis of scoliosis as well as cost reduction by reducing the burden of additional radiographic imaging for disease detection.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.210-215
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• 2023

As a public space providing night commercial services, night market represents the regional culture of a region or city to a certain extent. With the development of material economy and the continuous improvement of spiritual civilization, the modern night market has also begun to show some new changes. is an important strategy for the development and transformation of modern night market to build the brand image of night market and turn the traditional night market into a new "national tide" night market". Based on the regional cultural perspective, this paper takes many night markets in Changzhou, China as the object of study, and aims to summarize the effective ways to construct a new night market image. We are designed the following conclusions. The first is to deploy rational and unique features. The second is to enrich the business style and to perfect matching. The third is to regulate management and promote multiple effects. Therefore, it is expected that a new strategy will be proposed to create a night market brand image from a local cultural perspective.

• Journal of Distribution Science
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• v.22 no.9
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• pp.97-106
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• 2024

Purpose: In view of increased social awareness of today's consumers, it is very important to understand how retail customers perceive their sense of social responsibility. This study aims to explore the decision processes of university students that affect the patronage of social enterprises in retail sector. Research design, data and methodology: This study proposes and tests whether and how social network traits, firm's image, and perceived trustworthiness serve as predictors of value co-creation behavior specific to two different industries (social enterprises and regular firms) operating in retail sector of South Korea. This study incorporated theoretical premise of value co-creation to verify the structural relationships among the predictors of value co-creation. Results: The result demonstrates that social network and firm's image both significantly influence consumers' value co-creation behavior. The study further found that the firm's image is overall more effective for eliciting consumers' value co-creation behavior than social network traits. Conclusions: As the result of comparing the industry type (social enterprises vs. regular firms), the study confirmed a meaningful difference such that consumers indicated greater impact of firm's image on value co-creation for social enterprises than for regular firms. The findings are expected to provide useful industrial insights for the management of social enterprises.

• Journal of Fashion Business
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• v.14 no.3
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• pp.97-115
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• 2010

The purpose of this study is to compare and analyze the relationship among image, customer satisfaction and loyalty of fashion Extension brands. It is expected that this study will provide guidance to fashion companies that are planning to expand their brand in setting up marketing strategies and service strategies. The results of the study are the following. First, women consumers in their 20s had an perception that second brands provided diverse and unique products at cheap prices. However, after purchasing the products, they recognized that the second companies' service level was not so satisfying. Second, consumers were satisfied with the brand awareness, reputation, image, design, color, and packing conditions of the second brands while being not satisfied with the pricing. Third, when the study examined brand loyalty of second brands, consumers have shown high loyalty to the four subsidiary brands. Fourth, the satisfaction level for the four second brands had a significant effect on the brand loyalty for each second brands.

• Journal of Digital Contents Society
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• v.11 no.3
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• pp.367-374
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• 2010

The technology of wireless internet has been recently developing very fast and affecting everyday life using mobile media. In this paper, we propose an algorithm that can get necessary information such as image pixels from photos taken by mobile phones and search approximate values from reference database in the internet. This algorithm is expected to enable us to use a mobile phone to take a picture of something we see in every day life and go online to search for some information on that entity in the internet. An example system employing this proposed algorithm is illustrated in this paper.

• Journal of Ocean Engineering and Technology
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• v.12 no.2 s.28
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• pp.121-129
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• 1998

A quantitative non-contact multi-point measurement system is proposed to the measurement of three-dimensional movement of floating vessels by using digital image processing. The instantaneous three-dimensional movement of a floating structure which is floating in a small water tank is measured by this system and its three-dimensional movement is reconstructed by the measurement results. The validity of this system is verified by position identification for spatially distributed known positional values of basic landmarks set for the camera calibration. It is expected that this system is applicable to the non-contact measurement for an unsteady physical phenomenon especially for the measurement of three-dimensional movement of floating vessels in the laboratory model test.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.219-221
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• 2009

In this paper, we present stereoscopic conversion based on movie shot information. To overcome the low stereoscopic quality of automatic stereo conversion technologies, the usage of the shot type is expected to provide more satisfactory stereoscopic perception. In general, movie clips are produced with a variety of shot techniques such as long shot, closeup shot, medium shot, etc. Each shot has its own characteristics that can be utilized during the conversion process. Furthermore, description sceme for shot and camera information is presented in XML. XML shot editor generates XML shot data. and conversion module parses such data and converts 2D image into stereoscopic image.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.10
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• pp.102-108
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• 2004

In this paper, we studied a vibration problem that is critical and common to most precision measurement systems. For micro mechanical part measurements, results obtained from the vision-based precision measurement system may contain errors due to the vibration. In order to defeat this generic problem, for the current study, a PC based image processing technique was used first, to assess the effect of the vibration to the precision measurement and second, to develop an in-situ calibration algorithm that automatically compensate the measurement results in real time. We used a set of stereoscopic CCD cameras to acquire the images for the dimensional measurement and the reference measurement. The mapping function was obtained through the in-situ calibration to compensate the measurement results and the statistical analysis for the actual results is provided in the paper. Based on the current statistical study, it is expected to obtain high precision results for the micro measurement systems.