• Journal of Korea Multimedia Society
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• v.16 no.8
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• pp.934-942
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• 2013

Image scaling is used for a variety of real-life applications. In order to evaluate the performance of transform functions, the image quality are compared together before and after processing. For the objective evaluation of the transform functions, the exact criterion of image quality is required, and various aspects approaches are practically performed. However, few researches have been conducted on image quality measurement considering the position of pixels that are skipped or newly generated in the process of the image scaling. Therefore this paper focuses on the objective image quality measurement for positions of skipped or estimated pixels in the image scaling. The proposed method generated new image quality measure considering the positional changes using a conventional measure and evaluated sensitivity about positional changes. Through this experiments, it is observed that conventional image quality measurement is definitely affected by positional changes of a skipped and estimated pixels. It is also confirmed that the proposed method is an objective criterion to represent image quality for positional changes of skipped or estimated pixels. The proposed method can be used as a criterion to evaluate the performance of image restoration or enhancement functions.

• Culinary science and hospitality research
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• v.13 no.4
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• pp.57-66
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• 2007

The purpose of this study was to assess the effects of service quality, perceived sacrifice, food price and image on value. A total of 273 questionnaires were completed. MANOVA, ANOVA, and ANCOVA were used to measure the main effects and mediating effects of service quality and perceived sacrifice on the relationships among price, image, and value. The main effects of price on service quality, perceived sacrifice, and value were statistically significant. The main effects of image on service quality and value were statistically significant. As expected, when price, service quality, and perceived sacrifice regressed on the value, they were statistically significant. Moreover, when image, service quality, and perceived sacrifice regressed on the value, they had statistically significant effects on value. The results demonstrated that service quality played a mediating role in the relationship between price and value.

• Journal of Korean Society for Quality Management
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• v.45 no.2
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• pp.275-292
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• 2017

Purpose: This study is designed to explore web-site service quality factors in job information site for high quality human resource, and to test relationship among web service quality, image, user satisfaction, relationship quality, and loyalty intention. Methods: A survey tool was questionnaire that had obtained validity and reliability through literature survey and pretest survey, and sample 214 was analyzed through SEM using SPSS21.0 and AMOS21.0. Results: Web design and information offer affect Image and user satisfaction. Also, relationship quality turned out to be an important mediator between image and loyalty intention and between customer satisfaction and loyalty intention. Conclusion: This study shows that two factors in via of relationship quality, were important factors that related companies have to emphasize to raise performance, Also, in order to raise loyalty intention of customer, marketer should exert to well manage relationship quality having significance as a mediator.

• The KIPS Transactions:PartB
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• v.17B no.3
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• pp.233-238
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• 2010

In this paper, we propose a multiple classifier combination method based on image degradation modeling to improve recognition performance on low-quality images. Using an image degradation model, it generates a set of classifiers each of which is specialized for a specific image quality. In recognition, it combines the results of the recognizers by weighted averaging to decide the final result. At this time, the weight of each recognizer is dynamically decided from the estimated quality of the input image. It assigns large weight to the recognizer specialized to the estimated quality of the input image, but small weight to other recognizers. As the result, it can effectively adapt to image quality variation. Moreover, being a multiple-classifier system, it shows more reliable performance then the single-classifier system on low-quality images. In the experiment, the proposed multiple-classifier combination method achieved higher recognition rate than multiple-classifier combination systems not considering the image quality or single classifier systems considering the image quality.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.491-500
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• 2020

The purpose of this study was to analyze the antecedents of student loyalty which included Servicescape University, relationship quality, university image, and student satisfaction. The research was conducted in three universities with Islamic atmosphere under Al Washliyah Foundation in Medan, North Sumatra Province, Indonesia. Data analysis in this study includes descriptive analysis and Structural Equation Modeling (SEM). The results showed that: (1) Servicescape university influences university image, student satisfaction, but does not influence student loyalty; (2) Servicescape university through university image influences student loyalty, (3) Servicescape university through student satisfaction influences student loyalty, (4) Relationship quality influences university image, satisfaction Students, but does not influence student loyalty, (5) Relationship quality through university image influences student loyalty, (6) Relationship quality through student satisfaction influences student loyalty, (7) University image influences student loyalty, and (8). Student satisfaction influences student royalty. The findings of this study suggest that the antecedent of student loyalty in universities with Islamic atmosphere which was examined in this research includes four factors: Servicescape university, quality relationship, university image, and students' satisfaction.

• Journal of KIISE:Software and Applications
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• v.34 no.9
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• pp.797-803
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• 2007

Adaptive binarization is very important for the camera-based document recognition. This paper proposes a binarization method which can effectively adapt to the variation of image Qualify. Firstly, it analyzes the effect of binarization parameters to the result and proposes a method to measure the image quality. Then, it statistically analyzes the relationship between the image quality and the binarization parameter. Finally, it proposes a binarization method that automatically adapts to the quality of the input image, using the analysis result. The experiment results show that there is a meaningful relationship between the image quality and the binarization parameter, and therefore, the proposed method can effectively adapt to the variation of image quality.

• Korean Journal of Digital Imaging in Medicine
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• v.5 no.1
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• pp.32-44
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• 2002

The role of radiology department has been greatly increased in the past few years as the technology in the medical imaging devices improved and the introduction of PACS (Picture Archiving and Communications System) to the conventional film-based diagnostic structure is a truly remarkable factor to the medical history. In addition, the value of using digital information in medical imaging is highly expected to grow as the technology over the computer and the network improves. However, the current medical practice, using PACS is somewhat limited compared to the film-based conventional one due to a poor image quality. The image quality is the most important and inevitable factor in the PACS environment and it is one of the most necessary steps to more wide practice of digital imaging. The existing image quality control tools are limited in controlling images produced from the medical modalities, because they cannot display the real image changing status. Thus, the image quality is distorted and the ability to diagnosis becomes hindered compared to the one of the film-based practice. In addition, the workflow of the radiologist greatly increases; as every doctor has to perform his or her own image quality control every time they view images produced from the medical modalities. To resolve these kinds of problems and enhance current medical practice under the PACS environment, we have developed a program to display a better image quality by using the ROI optical density of the existing gray level values. When the LUT is used properly, small detailed regions, which cannot be seen by using the existing image quality controls are easily displayed and thus, greatly improves digital medical practice. The purpose of this study is to provide an easier medical practice to physicians, by applying the technology of converting the H-D curves of the analog film screen to the digital imaging technology and to preset image quality control values to each exposed body part, modality and group of physicians for a better and easier medical practice. We have asked to 5 well known professional physicians to compare image quality of the same set of exam by using the two different methods: existing image quality control and the LUT technology. As the result, the LUT technology was enormously favored over the existing image quality control method. All the physicians have pointed out the far more superiority of the LUT over the existing image quality control method and highly praised its ability to display small detailed regions, which cannot be displayed by existing image quality control tools. Two physicians expressed the necessity of presetting the LUT values for each exposed body part. Overall, the LUT technology yielded a great interest among the physicians and highly praised for its ability to overcome currently embedded problems of PACS. We strongly believe that the LUT technology can enhance the current medical practice and open a new beginning in the future medical imaging.

• Journal of Industrial Convergence
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• v.4 no.1
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• pp.109-132
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• 2006

The purpose of this paper is to examine the relationships among service quality, corporate image, and customer satisfaction of a financial institution in J city of Gyeongnam. The results show as follows. First, service quality affects positively corporate image. Second, service quality affects positively customer satisfaction. Third, corporate image affects positively customer satisfaction. Specifically, among the dimensions of service quality, the most significant predictor of corporate image is responsiveness, while the most significant predictor of customer satisfaction is tangibles. Further discussion and managerial implications can be drawn from these findings.

• Journal of Distribution Science
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• v.12 no.5
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• pp.5-13
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• 2014

Purpose - We seek feasible strategies to draw customers into a state of attitudinal/behavioral loyalty through perceived quality and perceived risk in the experienced food industry. Research design, data, and methodology - We utilize the LISREL model to examine the cause and effect relationships between customer loyalty, perceived quality, perceived risk, and three marketing proposals (brand image, store image, and promotion). We employed the quota sampling method to conduct the survey questionnaires, collecting365 effective customer samples in coffee shops/stores in Taipei City. Results - We find that store image substantially benefits consumer loyalty through perceived quality. Marketing managers can enhance store environment and atmosphere to elicit both attitudinal and behavioral aspects of customer-perceived quality and loyalty. Conclusions - This is the first paper to investigate simultaneously customer loyalty across brand image, store image, and promotion/marketing proposals in the food industry. Managers can promote brand image and store image at the same time to enhance customer-perceived quality.

• Journal of Information Processing Systems
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• v.10 no.2
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• pp.256-270
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• 2014

A new morphed steganographic algorithm is proposed in this paper. Image security is a challenging problem these days. Steganography is a method of hiding secret data in cover media. The Least Significant Bit is a standard Steganographic method that has some limitations. The limitations are less capacity to hide data, poor stego image quality, and imperceptibility. The proposed algorithm focuses on these limitations. The morphing concept is being used for image steganography to overcome these limitations. The PSNR and standard deviation are considered as a measure to improve stego image quality and morphed image selection, respectively. The stego keys are generated during the morphed steganographic embedding and extracting process. Stego keys are used to embed and extract the secret image. The experimental results, which are based on hiding capacity and PSNR, are presented in this paper. Our research contributes towards creating an improved steganographic method using image morphing. The experimental result indicates that the proposed algorithm achieves an increase in hiding capacity, stego image quality, and imperceptibility. The experimental results were compared with state of the art steganographic methods.