• Health Policy and Management
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• v.9 no.2
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• pp.157-173
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• 1999

The purpose of this study was to investigate the image of nurse perceived by students of elementary. middle and high schools in Taegu. Korea. Also the details for establishing the image were analyzed. The subjects of this study were 1.119 students from elementary. middle and high schools in Taegu. Data were collected from July 1. to July 16. 1998 and analyzed with Frequency. X 2-test. t-test. ANOVA. and Stepwise Multiple Regression in SPSS 7.5. The results of this study were as follows; (1) There was a significant difference in the nurse's image among the three groups(F= 168.42. p= .000). and the elementary students had the most positive image among the groups. (2) There was a significant difference in the nurse's image between male andfemale students. and the male students had more positive image(t=3.20. p = .001) than female students. (3) The experiences of hospitalization. books. and mass media affected on establishing the image of nurse, and experienced students had more positive image than those who was not. (4) 22.3% of the nurse's image was explained by the educational years. (5) The students who could distinguish between nurses and nurse aids, who had a nurse in their family, and who had experiences of nurse by TV had more positive image than those who had not. The students who had experiences of family member's hospitalization had more negative image than those who had not.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.804-807
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• 2002

Edge of image have a many information about input image. There is a many applications to using a edge detection and uses by variable special effect. Edge detection is a field of image analysis, image segmentation using a pixel make the one field for decision of image construction. In this paper, image segmentation through many ways of edge detection for image segmentation. First of all, it analyze feature of image and extract by feature of each image, to adopt way of edge detection to selective. It realize edge detection efficiently, consider to feature of language through using a java image segmentation.

• Journal of the Korea Computer Graphics Society
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• v.25 no.3
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• pp.21-29
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• 2019

This paper proposes a novel framework for image fusion of satellite imagery to enhance spatial resolution of the image via structure-texture decomposition. The resolution of the satellite imagery depends on the sensors, for example, panchromatic images have high spatial resolution but only a single gray band whereas multi-spectral images have low spatial resolution but multiple bands. To enhance the spatial resolution of low-resolution images, such as multi-spectral or infrared images, the proposed framework combines the structures from the low-resolution image and the textures from the high-resolution image. To improve the spatial quality of structural edges, the structure image from the low-resolution image is guided filtered with the structure image from the high-resolution image as the guidance image. The combination step is performed by pixel-wise addition of the filtered structure image and the texture image. Quantitative and qualitative evaluation demonstrate the proposed method preserves spectral and spatial fidelity of input images.

• 한국체육학회지인문사회과학편
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• v.54 no.4
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• pp.347-361
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• 2015

The purpose of this study was to examine whether corporate sports marketing strategy using professional teams changes corporate image. In particular, this study was intended to analyze the effects of origin and corporate reputation on the change of corporate image in the process of persuading corporate image. Finally 211 effect data were secured by pre-test and post-test. The change of corporate image and the moderating effect of origin perception and corporate reputation were analyzed. The results were as follows. First, corporate trust image and social contribution image showed statistically significant increase. Second, corporate image had a difference before and after the test according to origin perception and after the test, corporate trust image and social contribution image were increased. Third, corporate image had a difference before and after the test according to corporate reputation. After the test, corporate trust image and social contribution image were increased and trust image confirmed the mediating effect according to corporate reputation. Based on the findings, this study suggests that corporate sports marketing strategy using professional teams has an effect on the persuasion of corporate image. Moreover, it demonstrates that the strategy is an important marketing tool to change consumers' corporate image.

• Archives of design research
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• v.16 no.2
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• pp.375-384
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• 2003

This study is on the strategy for establishing successful corporate brand image, by understanding the need for increasing brand value based on the level of brand recognition. In order to carry this out, the PICS (Product Image Concentration System) is suggested, which includes Brand Image Analysis on a high-level, Product Image Programming based on the result of the image analysis, and Product Image Coherency Assessment and Management, resulting in setting up a guideline for gaining competitive advantage and brand management. Brand Image Analysis is a method that utilizes image association to understand brand disposition by analyzing the association pattern among available visual materials to measure the corporate and brand image inclinations. As the next step, Product Image Programming establishes design philosophy and principles based on the analysis of brand image, and the Visual Programming is a process for visualizing the intended product image direction. Lastly, Product Image Coherency Assessment examines whether to incorporate design philosophy and principles or not to arrive at an agreed evaluation criteria for developing designs coherent with the brand image. The PICS (Product Image Concentration System) is a practical method for increasing a company' competitive advantage and managing brand. The expectation on this system is to provide a guideline for applying brand image in design process more objectively. For further study, diversification of image spectrum based on expressive keywords and comparative analysis on images as well as a product image interpretation program to understand the order of visual materials will be necessary.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.40 no.9
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• pp.658-665
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• 2003

In this paper, we propose an improved image encryption and the shift-tolerance method in the Fourier space using a virtual phase image. The encrypted image is obtained by the Fourier transform of the product of a phase-encoded virtual image, not an original image, and a random phase image. Therefore, even if unauthorized users analyze the encrypted image, we can prevent the possibility of counterfeiting from unauthorized people using virtual image which dose not contain any information from the original image. The decryption technique is simply performed by inverse Fourier transform of the interference pattern between the encrypted image and the Fourier decrypting key, made of proposed phase assignment rule, in frequency domain. We demonstrate the robustness to noise, to data loss and shift of the encrypted image or the Fourier decryption key in the proposed technique.

• Journal of Fashion Business
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• v.13 no.4
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• pp.99-111
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• 2009

The purpose of this study was to identify women's clothing image according to their body image. Self-administered questionnaires were used for data collection. The results were as followed: First, the body image was shown in three dimensions of care for appearance, concern about weight, and appearance attractiveness. And clothing image was shown in seven dimensions of gorgeousness, beauty, sophistication, comfort, confidence, neatness, and feminity. Second, women were segmented into interest in appearance attractiveness group, body image intermediate group, appearance & weight concern group, and body image retard group. Interest in appearance attractiveness group and appearance & weight concern group were found frequently among women in 20s and students or unmarried women, preferred for gorgeousness and feminity of clothing more, and enjoyed internet shopping. Appearance & weight concern group was heavier than interest in appearance attractiveness group. Body image intermediate group were found frequently among women of lower education, and shopped at stores. Third, younger unmarried women preferred for beauty, confidence, and feminity of clothing image and older women preferred for comfort more. Women who preferred for beauty and sophistication of clothing image shopped at internet shopping mall more frequently.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.129.1-129
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• 2001

In this paper, we present an approach for matching images from finding interesting points and applying new image interpolation algorithm. New algorithms are developed that automatically align the input images match them and reconstruct 3-D surfaces. The interpolation algorithm is designed to cope with simple shapes. The proposed image interpolation algorithm generate a rotation image about vertical axes by an any angle from 4 base images. Each base image that was obtained from CCD camera has an angle difference of 90$^{\circ}$ The proposed image interpolation algorithm use the geometric analysis of image and depth information.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06a
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• pp.33-36
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• 1998

Most image restoration problems are ill-posed and need to e regularized. A difficult task in image regularization is to avoid smoothing of image edges. In this paper, were proposed an edge-preserving image restoration algorithm using block-based edge classification. In order to exploit the local image characteristics, we classify image blocks into edge and no-edge blocks. We then apply an adaptive constrained least squares (CLS) algorithm to eliminate noise around the edges. Experimental results demonstrate that the proposed algorithm can preserve image edges during the regularization process.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.573-577
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• 2010

Image resolution improvement is commonly technique for applications such as image reconstruction or enlargement. It is important to remove image quality degradation such as blocking effect or artificiality occurrence. In this paper, we propose image resolution improvement method using loss information of image. The proposed compute and estimate by low level interpolation of obtained low resolution image, it is applied by interpolated high resolution as 1-stage interpolation. We generate last interpolation image by iteration of error computation and application between obtained low resolution image and 1-stage interpolation image. By experiments using same test images, we confirmed improvement over 3.2dB of average PSNR and enhancement of subject image quality. Also, we can reduce more than 85% computation complexity. The proposed image resolution improvement method may be helpful for various applications of image processing.