• 품질경영학회지
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• 제37권4호
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• pp.87-99
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• 2009

Medical tourism is a contemporary phenomenon which has its root in both tourism and health service. Especially, Korea's medical tourism market has grown dramatically after activation of foreign patient attraction law. The purpose of this study is to find out which is the most influential factors among political, economic, relative and national image in case of Japanese tourists when they purchase Korean medical tourism. This study estimates the Japanese tourists' Trust in the Korean health service quality and tourism service quality. It means perception of medical tourism. The results are as follows; The political, relative and economic image not have any significant influences on tourism service and trust in health service quality. And just the national image has a positive influence on tourism service and trust in health service quality. Tourism service quality is related with trust in the health service quality. Trust in health service quality is only related with purchase intention of medical tourism. The implications of this study are: First, the national image factors such as thoughtfulness, high education and polite attitude should be utilized as a Korea medical tourism marketing strategy to differentiate itself from the other foreign country in Japan. Next, the differentiated national image in Japan will be the most important factors for Korean hospital and tourism companies to attract medical tourists.

• 한국멀티미디어학회논문지
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• 제21권7호
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• pp.764-771
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• 2018

In this paper, we propose a high-quality image acquisition algorithm using only a single image, which the high-quality image is normally referred as HDR ones. In order to acquire the HDR image, conventional methods need many images having different exposure values at the same scene and should delicately adjust the color values for a bit-expansion or an exposure fusion. Thus, they require considerable calculations and complex structures. Therefore, the proposed algorithm suggests a completely new approach using one image for the high-quality image acquisition by applying statistical difference and histogram manipulation, or histogram specification, techniques. The techniques could control the pixel's statistical distribution of the input image into the desired one through the local and the global modifications, respectively. As the result, the quality of the proposed algorithm is better than those of conventional methods implemented in commercial image editing softwares.

• 대한안전경영과학회지
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• 제13권1호
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• pp.151-160
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• 2011

Cosmetic industry is a typical industry for domestic demand and is closely connected with domestic demand growth. In 2006, domestic cosmetics market is showing high growth rate due to the recovery of domestic demand and the market reorganization of sales channels is proceeding rapidly due to the recent global economic slowdown, Due to the situation, many companies are launching low-priced brand shop. The purpose of this study was to clarify the impact of marketing strategy of cosmetic brand-shop on consumers' purchasing intention. As the result of analyses, it was found that product, place, promotion factors of cosmetic brand-shop affect brand image. Also only product factor affects corporate image, perceived quality. And using regression analysis between brand image, corporate image, perceived quality and customer behaviors. Brand image and perceived quality factors influence consumers purchasing intention. Brand image has a positive impact on corporate image. And corporate image affects the perceived quality.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 추계학술대회 논문집 Vol.16
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• pp.380-383
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• 2003

The purpose of this study is to develope prototype EPID system and improve image quality of radiation therapy field imaging system using CCD camera. For this research we used Linac(Clinac 4/100), Copper metal plate, $Gd_2O_2S_2$ phosphor and CCD camera(Photronic). In this study we find best thickness of buil-up metal plate and acquired projection image of humanoid head phantom. Also we enhanced raw image data using superposition and histogram stretching method. Through the thickness optimized of metal plate and image processing, we confirmed of an improved image quality of an EPID system using CCD camera. As result, highest quality image was acquired at 1mm thickness of Copper metal plate and improved image quality by image processing methods.

• Biomedical Engineering Letters
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• 제8권4호
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• pp.355-364
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• 2018

When focusing using an ultrasonic transducer array, a main lobe is formed in the focal region of an ultrasound field, but side lobes also arise around the focal region due to the leakage. Since the side lobes cannot be completely eliminated in the focusing process, they are responsible for subsequent ultrasound image quality degradation. To improve ultrasound image quality, a signal processing strategy to reduce side lobes is definitely in demand. To this end, quantitative determination of main and side lobes is necessary. We propose a theoretically and actually error-free method of exactly discriminating and separately computing the main lobe and side lobe parts in ultrasound image by computer simulation. We refer to images constructed using the main and side lobe signals as the main and side lobe images, respectively. Since the main and side lobe images exactly represent their main and side lobe components, respectively, they can be used to evaluate ultrasound image quality. Defining the average brightness of the main and side lobe images, the conventional to side lobe image ratio, and the main to side lobe image ratio as image quality metrics, we can evaluate image characteristics in speckle images. The proposed method is also applied in assessing the performance of side lobe suppression filtering. We show that the proposed method may greatly aid in the evaluation of medical ultrasonic images using computer simulations, albeit lacking the use of actual experimental data.

• 한국콘텐츠학회논문지
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• 제18권4호
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• pp.516-529
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• 2018

본 연구는 종합병원을 내원한 외래환자가 지각한 의료 서비스의 질이 병원 이미지, 만족도 및 재이용 의도에 미치는 영향을 파악하였다. 대전에 소재한 S종합병원 외래 환자에게 2017년 9월 1일부터 20일까지 3주간 설문조사를 시행하여 총 176부를 분석 결과, 첫째, 의료 서비스의 질은 재이용 의도, 만족도, 병원 이미지에 유의한 영향을 미치는 것으로 나타났다. 둘째, 의료 서비스의 질과 재이용 의도에 대한 만족도의 매개작용은 유의하지 않은 것으로, 병원 이미지는 유의한 매개 영향력을 미치는 것으로 나타났다. 셋째, 병원에 대한 만족도와 이미지는 재이용 의도에 유의한 영향을 미치는 것으로 나타났다. 본 연구는 종합병원을 내원한 실제 외래환자를 대상으로 의료 서비스의 질이 병원 이미지와 만족도 그리고 재이용 의도에 미치는 영향력을 실증하였다는 데 의의가 있다, 기관에 대한 만족보다 병원 이미지가 의료의 질과 재이용 의도의 관계에서 실질적으로 매개 작용을 한다는 것을 실증함으로써 병원의 마케팅 활동에 있어 일반적인 만족이상이 필요하다는 시사점을 제시하였다.

• 대한방사선기술학회지:방사선기술과학
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• 제47권3호
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• pp.175-182
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• 2024

Advanced modeled iterative reconstruction (ADMIRE) represents a repetitive reconstruction method that can adjust strength and kernel, each of which are known to affect computed tomography (CT) image quality. The aim of this study was to quantitatively analyze the noise and spatial resolution of CT images according to ADMIRE control factors. Patient images were obtained by applying ADMIRE strength 2 and 3, and kernel B40 and B59. For quantitative evaluations, the noise level, spatial resolution, and overall image quality were measured using coefficient of variation (COV), edge rise distance (ERD), and natural image quality evaluation (NIQE). The superior values for the average COV, ERD, and NIQE results were obtained for the ADMIRE reconstruction conditions of ADMIRE 2 + B40, ADMIRE 3 + B59, and ADMIRE3 + B59. NIQE, which represents the overall image quality based on no-reference, was about 6.04 when using ADMIRE 3 + B59, showing the best result among the reconstructed image acquisition conditions. The results of this study indicate that the ADMIRE strength and kernel chosen for use in ADMIRE reconstruction have a significant impact on CT image quality. This highlights the importance of adjusting to the control factors in consideration of the clinical environment.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.7-13
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• 2021

Machine vision is a technology that helps the computer as if a person recognizes and determines things. In recent years, as advanced technologies such as optical systems, artificial intelligence and big data advanced in conventional machine vision system became more accurate quality inspection and it increases the manufacturing efficiency. In machine vision systems using deep learning, the image quality of the input image is very important. However, most images obtained in the industrial field for quality inspection typically contain noise. This noise is a major factor in the performance of the machine vision system. Therefore, in order to improve the performance of the machine vision system, it is necessary to eliminate the noise of the image. There are lots of research being done to remove noise from the image. In this paper, we propose an autoencoder based machine vision system to eliminate noise in the image. Through experiment proposed model showed better performance compared to the basic autoencoder model in denoising and image reconstruction capability for MNIST and fashion MNIST data sets.

• 한국멀티미디어학회논문지
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• 제21권9호
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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.

• Imaging Science in Dentistry
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• 제47권2호
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• pp.75-86
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• 2017

Purpose: The purpose of this study was to apply a newly developed free software program, at low cost and with minimal time, to evaluate the quality of dental and maxillofacial cone-beam computed tomography (CBCT) images. Materials and Methods: A polymethyl methacrylate (PMMA) phantom, CQP-IFBA, was scanned in 3 CBCT units with 7 protocols. A macro program was developed, using the free software ImageJ, to automatically evaluate the image quality parameters. The image quality evaluation was based on 8 parameters: uniformity, the signal-to-noise ratio (SNR), noise, the contrast-to-noise ratio (CNR), spatial resolution, the artifact index, geometric accuracy, and low-contrast resolution. Results: The image uniformity and noise depended on the protocol that was applied. Regarding the CNR, high-density structures were more sensitive to the effect of scanning parameters. There were no significant differences between SNR and CNR in centered and peripheral objects. The geometric accuracy assessment showed that all the distance measurements were lower than the real values. Low-contrast resolution was influenced by the scanning parameters, and the 1-mm rod present in the phantom was not depicted in any of the 3 CBCT units. Smaller voxel sizes presented higher spatial resolution. There were no significant differences among the protocols regarding artifact presence. Conclusion: This software package provided a fast, low-cost, and feasible method for the evaluation of image quality parameters in CBCT.