• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.2997-3017
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• 2020

With the advancement in the field of image processing, images are being processed using various image processing algorithms. Nowadays, many efficient content-aware image resizing techniques are being used to safeguard the prominent regions and to generate better results that are visually appealing and pleasing while resizing. Advancements in the new display device with varying screen size demands the development of efficient image resizing algorithm. This paper presents a survey on various image retargeting methods, comparison of image retargeting results based on performance, and also exposes the main challenges in image retargeting such as content preservation of important regions, distortion minimization, and improving the efficiency of image retargeting methods. After reviewing literature from researchers it is suggested that the use of the single operator in image retargeting such as scaling, cropping, seam carving, and warping is not sufficient for obtaining satisfactory results, hence it is essential to combine multiple image retargeting operators. This survey is useful for the researchers interested in content-aware image retargeting.

• Journal of the Semiconductor & Display Technology
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• v.15 no.3
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• pp.51-56
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• 2016

This paper proposes a new image enhancement method for an infrared thermal image. The proposed method uses both Laplacian and Prewitt edge detectors. Without a visible light, it uses an infrared image for the edge detection. The method subtracts contour images from the infrared thermal image. It results black contours of objects in the infrared thermal image. That makes the objects in the infrared thermal image distinguished clearly. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using various infrared thermal images. The results show that the proposed method is successful for image enhancement of an infrared thermal image.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3620-3637
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• 2019

Since the birth of Synthetic Aperture Radar (SAR), it has been widely used in the military field and so on. However, the existence of speckle noise makes a good deal inconvenience for the subsequent image processing. The continuous development of sparse representation (SR) opens a new field for the speckle suppressing of SAR image. Although the SR de-noising may be effective, the over-smooth phenomenon still has bad influence on the integrity of the image information. In this paper, one novel SAR image de-noising method based on residual image fusion and sparse representation is proposed. Firstly we can get the similar block groups by the non-local similar block matching method (NLS-BM). Then SR de-noising based on the adaptive K-means singular value decomposition (K-SVD) is adopted to obtain the initial de-noised image and residual image. The residual image is processed by Shearlet transform (ST), and the corresponding de-noising methods are applied on it. Finally, in ST domain the low-frequency and high-frequency components of the initial de-noised and residual image are fused respectively by relevant fusion rules. The final de-noised image can be recovered by inverse ST. Experimental results show the proposed method can not only suppress the speckle effectively, but also save more details and other useful information of the original SAR image, which could provide more authentic and credible records for the follow-up image processing.

• East Asian Journal of Business Economics (EAJBE)
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• v.6 no.4
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• pp.25-34
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• 2018

Purpose - The purpose of this study is to investigate the effect of Korean Wave on consumer intentions by adjusting the Korean image and image of Korean company to counterbalance the hostility through the control effect of Korean Wave. Research design and methodology - This paper measure individual and national hostility and suggest that the effect of the adjustment of Korean culture satisfaction on corporate image, product image and consumer's purchase intention. Results - This study suggests the subjects to be studied empirically by presenting research themes and models, but it is necessary to verify the model through statistical verification since it is not verified empirically. In addition, it is necessary to further control factors and identification of anti-marginal or anti-marginal products. Conclusions - This study suggests research topics that investigate how hostility affects Korean Wave in consideration of the current special situation, while conventional researches mainly focus on ethnocentrism and patriotism. In this way, this study suggests research direction that helps to enhance corporate image and product image by eliminating hostility and actively utilizing Korean Wave. The Proposal will be helpful to provide a frame for empirical analysis in future and to develop strategic means to further utilize it in international marketing.

• Journal of Korean Medical classics
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• v.18 no.1 s.28
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• pp.1-6
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• 2005

In classfying human being into four types: Soeum-in(少陰人), Taeeum-in(太陰人), Soyang-in(少陽人), Taeyang-in(太陽人), let, s try to match four season's image to the four type constitution. 1. spring's image(春) soeum-in(少陰人) summer's image(夏) taeeum-in(太陰人) autumn's image(秋) soyang-in(少陽人) winter's image(冬) taeyang-in(太陽人). 2. Treating disease, we should also consider essence chi(精氣) state.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1995.06a
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• pp.91-96
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• 1995

In this paper we propose algorithms for high resolution image sequence interpolation. Image sequences, in general, are assumed to have greater amount of information than a still image. By this reason, image sequences can be used to improve the resolution of interpolated image sequences. Therefore the proposed algorithms can be the theoretical basis for interpolating dynamic image sequences. In order to demonstrate the validity of the proposed algorithms, experimental results using both synthetic and real test images are presented.

• Journal of Fashion Business
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• v.28 no.2
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• pp.33-49
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• 2024

Despite COVID-19 and the global economic depression, cosmetics exports are continuously increasing due to the growth of Hallyu consumption overseas. Thus, systematic research is needed to determine what impact Hallyu has on cosmetics. Many studies have been conducted on psychological distance, Hallyu preference, and the overall Korean product image, but research related to the image of cosmetics has been insufficient. AMOS 26.0 was used to empirically analyze the impact of cultural distance, social distance, and Hallyu preference on the national image and the impact of the country's image on the image of cosmetics among females experienced with Hallyu in Indonesia and Malaysia. The empirical analysis showed that cultural distance, social distance, and Hallyu preference had a positive effect on the national image, and the national image also had a positive effect on the image of cosmetics. Since Hallyu has a positive indirect effect on the image of cosmetics, it strengthens the competitiveness of cosmetics companies in overseas markets. In Indonesia, only cultural distance and Hallyu preference were found to affect the national image. However, in Malaysia, all variables affected the national image. Thus, even the same Hallyu content could have different effects on the national and cosmetic images in each country. Therefore, strategies for utilizing different Hallyu contents that are suitable for each country are needed to revitalize Korean cosmetics in overseas markets.

• Journal of the Korean Society of Costume
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• v.59 no.1
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• pp.14-28
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• 2009

Exoticism, by definition, is 'the charm of the unfamiliar', usually because of associations with a distant country. In the western-centric world, exoticism implies non-western or oriental style. The purpose of this study was to identify Koreans' perception of "Exoticism", and to compare the perception of exotic fashion image according to gender and education differences. Empirical study was composed of two parts focusing on gender and education effects respectively. For the first part, data were collected by self-administered questionnaires distributed to 280 respondents at 2 universities and 2 high schools during August and September 2005. The sample was consisted of 140 male and 140 female. A measurement, including 24 image adjectives to evaluate 16 fashion stimuli, was developed. Data were analyzed by descriptive statistics, correlations, t-test, and MDS. There was no difference in the perception of exotic fashion image according to gender. Both gender groups perceived exotic image as western image and non-exotic image as oriental image. Thus it could be said that Koreans perceive western-based fashion as foreign and exotic. This finding implies the relativity of "Exoticism." In the second part, the measurement and the analysis methods were the same with the first part. The respondents were consisted of 70 fashion majored female students and 70 non-fashion majored female students. There was considerable difference between fashion and non-fashion major groups in their perception of exotic fashion image. Whereas non-fashion major group perceived exotic image as western image and non-exotic image as oriental image, fashion major group perceived exotic image as both western and oriental image. This result suggested that fashion major group have western-centered conception as well as general perception character of Korean.

• Journal of Ocean Engineering and Technology
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• v.36 no.1
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• pp.32-40
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• 2022

Underwater optical images face various limitations that degrade the image quality compared with optical images taken in our atmosphere. Attenuation according to the wavelength of light and reflection by very small floating objects cause low contrast, blurry clarity, and color degradation in underwater images. We constructed an image data of the Korean sea and enhanced it by learning the characteristics of underwater images using the deep learning techniques of CycleGAN (cycle-consistent adversarial network), UGAN (underwater GAN), FUnIE-GAN (fast underwater image enhancement GAN). In addition, the underwater optical image was enhanced using the image processing technique of Image Fusion. For a quantitative performance comparison, UIQM (underwater image quality measure), which evaluates the performance of the enhancement in terms of colorfulness, sharpness, and contrast, and UCIQE (underwater color image quality evaluation), which evaluates the performance in terms of chroma, luminance, and saturation were calculated. For 100 underwater images taken in Korean seas, the average UIQMs of CycleGAN, UGAN, and FUnIE-GAN were 3.91, 3.42, and 2.66, respectively, and the average UCIQEs were measured to be 29.9, 26.77, and 22.88, respectively. The average UIQM and UCIQE of Image Fusion were 3.63 and 23.59, respectively. CycleGAN and UGAN qualitatively and quantitatively improved the image quality in various underwater environments, and FUnIE-GAN had performance differences depending on the underwater environment. Image Fusion showed good performance in terms of color correction and sharpness enhancement. It is expected that this method can be used for monitoring underwater works and the autonomous operation of unmanned vehicles by improving the visibility of underwater situations more accurately.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.5
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• pp.646-660
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• 1994

The purpose of this study was to investigate the difference of the visual evaluation about Clothing form and the surface image of detail. This study consists of pre-experiment for selecting the method of expression among detail which shows difference of the image and main experiment for identifying the clothing image as clothing form and the suface image of detial. Main experiment is made of factorial design for three variables-clothing form (H-line, A-line, V-line, X-line), detail (frill, tape), direction (width, length). Questionaire consists of 24 semantic differential scale expressing clothing form and detail. The subjects were 100 female students majoring in clothing and textile.7he data were analyzed by Frequencey, Factor analysis, Anova, scheffe's test and MCA method. The major findings were; 1) The image of clothing form and the surface image of detail were composed of 5 factors; attractiveness, prettiness, attention, modern, young. 2) For the visual evaluation of clothing form as the surface image of detail, there were significant differences in prettiness and attention factors. For the pretty and attentive image, we should express by the image of frill. 3) For the visual evaluation of the image of detail as clothing forms variation, there were significant difference in prettiness by A-line and X-line. 4) For the effect of clothing form and the surface image of detail, main effect was significant in attractiveness, prettiness, attention, modern factor. For the pretty image of clothing, it will be expressed by the image of frill and A-line, X-line. For the attentive image of clothing, it will be expressed by the image of frill and V-line. For the modern image of clothing, it will be expressed by the image of tape and V-line.