• Journal of Distribution Science
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• v.17 no.10
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• pp.49-59
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• 2019

Purpose - This study aims to verify the effect of sports sponsorship recognition on corporate image and the relationship between image and identification, corporate image and purchasing intention, brand identification and purchasing intention Research design, data, and methodology - To carry out the purpose of this study, a set of data was collected from 320 surveys and 305 of them were used. Statistic programs, SPSS 18.0 and AMOS 20.0, were used to analyze the data. Results - It was found that emotional sports sponsorship recognition and social sponsorship sports sponsorship recognition had positive effects on corporate image and brand identification. Corporate image also had a positive effect on brand identification. Besides, it was analyzed that corporate image and brand identification had positive effects on purchasing intention. Conclusions - The results show that sports sponsorship recognition can influence brand identification and purchasing intention, and contribute to the enhancement of corporate image. Since brand personality that matches the self-image of the targeted customer will have a more positive effect on the relationship with the consumer, marketing activities should be carried out so that the brand image can be identified with the company image of sports sponsorship activities.

• Journal of Korea Multimedia Society
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• v.12 no.6
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• pp.815-823
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• 2009

Most of existing watermarking schemes insert and extract a watermark, focusing on the visual conservation of an original image. However, existing watermarking schemes could be difficult for a watermark detection in case of various distortion caused by display-capture devices. Therefore, we propose a new display-capture based mobile watermarking scheme. The proposed watermarking scheme is a new concept for embedding a watermark, which uses the generated image instead of a given original image. For effective watermark decoding, we also present a method for detecting the background image whose error bit can not be corrected because of various heavy distortion and for avoiding it from the decoding process. For this scheme, we adopt distortion coefficients of camera calibration when we separate a background image from a captured image. For finding available correction bits of ECC through the decoding process, we capture 30,000 images and then calculate the separation ratio of a background image and the average error bits per an image. As experimental result, the separation ratio of a background image is about 96.5% in 30,000 captured image. And the false alarm ratio shows about $5.18{\times}10^{-4}$ in the separated background image. And also we can confirm the availability of real-time processing because the mean execution time is about 82ms per an image for capturing and decoding.

• Journal of the Korean Society of Costume
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• v.58 no.4
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• pp.86-98
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• 2008

This study is purposed to determine the correlation between contemporary fashion and game characters' clothes and to analyze the formative property of the game characters' clothes expressed in the contemporary fashion. The temporal scope of this study is from 2004 to 2007 based on general online game ranks, while the game type is limited to 3D-online role playing game. The most popular clothes of game characters are analyzed and found to have imaginary, sensualistic, and cross-sexual features. These are also expressed as Cyber resistance image, Femme fatal image and Asexual image in the contemporary fashion. Firstly, the Cyber resistance image in the recent fashion is shown as belligerent, destructive and surrealistic image in contemporary fashion. Secondly, the Femme fatal image represents bewitching, brutal and narcissistic image with sleek materials and glowing colors in contemporary fashion. Thirdly, the Asexual image means the concept of sex as the neuter gender. Especially, this image has been introduced by simple and straight silhouette, black, silver, khaki colors in fashion. Accordingly, the clothes of game characters with the popularity and formative property have close correlation with contemporary fashion even if they do not pursue for practical creativity. In this respect, they can consolidate the position as a new fashion trend if they are developed with various design ideas.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.865-869
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• 2009

An image resolution enhancement is mainly utilized as pre-processing technique for various image processing application. It requires to decrease image quality deterioration such as blurring. In this paper, we propose an image resolution enhancement algorithm using low level interpolation. In the proposed algorithm, we calculate an error using low level interpolation, estimate an error image from the calculated error. The estimated error image is added interpolated high resolution image, it become lastly reconstruction image. Our experiments obtained the average PSNR about 1dB which is improved results better than conventional method for sensitive image quality. Also, subjective image quality with edge region is more clearness. The proposed method may be helpful for applications in various multimedia systems such as image restoration.

• Journal of Broadcast Engineering
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• v.18 no.4
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• pp.550-558
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• 2013

The infrared and visible images are represented by different information due to the different wavelength of the light. The infrared image has thermal information and the visible image has texture information. Desirable results are obtained by fusing infrared and visible information. To enhance a visible image, we extract a weight map from a visible image using saturation, brightness. After that, the weight map is adjusted using thermal information in the infrared image. Finally, an enhanced image is resulted from combining an infrared image and a visible image. Our experiment results show that our proposed algorithm is working well to enhance the smoke in the original image.

• The Research Journal of the Costume Culture
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• v.21 no.4
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• pp.546-561
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• 2013

This study investigated how consumers perceive brand image, the consistency between the images of parent brands and extended brands, the consistency of their advertising images, the differences between brand image and advertising image, and how consumers' brand attitudes change based on those differences. An online survey was administered to women in their 20s and 30s who often use cosmetics and are interested in brands. The brands considered in this research were Chanel, Dior, Armani, and Anna Sui, which have extended brands in the clothing and cosmetics areas. In terms of consumers' perception of brand image, it was found that clothing and cosmetic brands were perceived similarly. In addition, significant differences were found in consumers' preferences and purchase intentions of clothing and cosmetic brands, and those whose perceptions of brand image did not change or increased after looking at advertising images had more positive brand attitudes than the group of people who had higher perception of brand image before looking at advertising images. Therefore, in terms of brand extension, it was revealed that the image of a parent brand affected an extended brand, and that the higher was consumers' recognition of brand image through advertising, the more positive was their attitude toward the brand.

• Journal of Biosystems Engineering
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• v.39 no.3
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• pp.166-173
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• 2014

Purpose: In this study, we focused on the image processing method to determine the external quality of Fuji apples by identifying surface defects such as scabs and bruises. Method: A CCD camera was used to capture filter images with 24 different wavelengths ranging between 530 nm and 1050 nm. Image subtraction and division operations were performed to distinguish the defect area from the normal areas including calyx, stem, and glaring on the apple surface image. All threshold values of the image were examined to reveal the defect area of pretreated filter images. Results: The developed operation methods were [image (720 nm) - image (900 nm)]/image (700 nm) for bruise detection and [image (740 nm) - image (900 nm)]/image (590 nm) for scab detection, which revealed 81% and 90% recognition ratios, respectively. Conclusions: Our results showed several optimal wavelengths and image processing methods to detect Fuji apple surface defects such as bruises and scabs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.2
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• pp.117-137
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• 2010

Iris recognition is a biometric technique which uses unique iris patterns between the pupil and sclera. The advantage of iris recognition lies in high recognition accuracy; however, for good performance, it requires the diameter of the iris to be greater than 200 pixels in an input image. So, a conventional iris system uses a camera with a costly and bulky zoom lens. To overcome this problem, we propose a new method to restore a low resolution iris image into a high resolution image using a single image. This study has three novelties compared to previous works: (i) To obtain a high resolution iris image, we only use a single iris image. This can solve the problems of conventional restoration methods with multiple images, which need considerable processing time for image capturing and registration. (ii) By using bilinear interpolation and a constrained least squares (CLS) filter based on the degradation model, we obtain a high resolution iris image with high recognition performance at fast speed. (iii) We select the optimized parameters of the CLS filter and degradation model according to the zoom factor of the image in terms of recognition accuracy. Experimental results showed that the accuracy of iris recognition was enhanced using the proposed method.

• The Research Journal of the Costume Culture
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• v.14 no.6
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• pp.1015-1026
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• 2006

The purpose of the study were to find out (1) the effect of motives on perceiver's image perception on ramie fabrics, and perceiver's trait, age and gender on sensory image evaluation of ramie fabrics. The research was a quasi experiment and experimental materials developed for the study were a set of material stimuli and semantic differential scales to measure sensory image of the stimuli, an aesthetic value scale. the independent design was motif design techniques(Plain Weave, burnt-out, embroidery, stripe, check). The subjects were 421 adults in Daejeon and Seachun. The results was as follows: The factor analysis of semantic differential scales for the ramie materials emerged 4 different image dimensions: attractiveness, hand, elegance, weight). The five design techniques showed significantly different image affects on some selective dimensions. The burn-out design gave the most attractive image, the embroidery design gave the softest image and plain weaved fabric presented the lightest hand image. Consumer's aesthetic values, gender and age tended to affect sensory image evaluation of ramie materials. On conclusion the result revealed that design strategy for the ramie material, design development though motives will be an essential process. and for material design pursued design image and target consumer's trait should be carefully considered.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.252-259
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• 2022

Artificial intelligence is used in fusion with image processing techniques using cameras. Image processing technology is a technology that processes objects in an image received from a camera in real time, and is used in various fields such as security monitoring and medical image analysis. If such image processing reduces the accuracy of recognition, providing incorrect information to medical image analysis, security monitoring, etc. may cause serious problems. Therefore, this paper uses a mixture of YOLOv4-tiny model and image processing algorithm and uses the COCO dataset for learning. The image processing algorithm performs five image processing methods such as normalization, Gaussian distribution, Otsu algorithm, equalization, and gradient operation. For RGB images, three image processing methods are performed: equalization, Gaussian blur, and gamma correction proceed. Among the nine algorithms applied in this paper, the Equalization and Gaussian Blur model showed the highest object detection accuracy of 96%, and the gamma correction (RGB environment) model showed the highest object detection rate of 89% outdoors (daytime). The image binarization model showed the highest object detection rate at 89% outdoors (night).