• Journal of Environmental Science International
• /
• v.24 no.11
• /
• pp.1451-1461
• /
• 2015

The purpose of this study is to describe how nature-based ecotourism motivation of ecotourists influences destination image and satisfaction of ecotourists. In order to achieve the above purposes, the study carried out a literature study and an empirical analysis. Based on the obtained data through the literature study, the study designed a model for the empirical study. The results of this study are as follows. First, returns to nature, knowledge. fitness and escape as ecotourism motivation of ecotourist had a positive effect on each ecotourism destination image, such as cognitive and affective image. However, effect of novelty on cognitive image for destination had not significant results. Second, ecotourism destination image, such as cognitive and affective image, had a positive effect on ecotourism satisfaction of ecotourists. The results of the article provide implications for strategies for promoting ecotourism destination and suggest some guidelines for the eco-education of tourists.

• Journal of the Optical Society of Korea
• /
• v.14 no.4
• /
• pp.388-394
• /
• 2010

In this paper the object recognition performance of a photon counting integral imaging system is quantitatively compared with that of a conventional gray scale imaging system. For 3D imaging of objects with a small number of photons, the elemental image set of a 3D scene is obtained using the integral imaging set up. We assume that the elemental image detection follows a Poisson distribution. Computational geometrical ray back propagation algorithm and parametric maximum likelihood estimator are applied to the photon counting elemental image set in order to reconstruct the original 3D scene. To evaluate the photon counting object recognition performance, the normalized correlation peaks between the reconstructed 3D scenes are calculated for the varied and fixed total number of photons in the reconstructed sectional image changing the total number of image channels in the integral imaging system. It is quantitatively illustrated that the recognition performance of the photon counting integral imaging system can be similar to that of a conventional gray scale imaging system as the number of image viewing channels in the photon counting integral imaging (PCII) system is increased up to the threshold point. Also, we present experiments to find the threshold point on the total number of image channels in the PCII system which can guarantee a comparable recognition performance with a gray scale imaging system. To the best of our knowledge, this is the first report on comparisons of object recognition performance with 3D photon counting & gray scale images.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.1
• /
• pp.201-207
• /
• 2015

The smartphone with camera can easily generate an image instead of a scanner. However the document image through a smartphone can have distortions related rotation or perspective. In this paper, we proposed a method to generate the document image in that distortions are reduced from the captured document image through a smartphone. For this, the original document image through a smartphone is preprocessed using the MSER-b technique to reduce the light effect. Then, the text area contour is extracted using the characteristics of the document image. Lastly, rotation or perspective distortions are reduced using the extracted text area contour. For experiments, the proposed method is compared two other products. Through experiments, we show that the distortions within the captured document image through smartphone can be effectively reduced.

• The Bulletin of The Korean Astronomical Society
• /
• v.44 no.1
• /
• pp.52.1-52.1
• /
• 2019

The Helioseismic and Magnetic Imager (HMI) is the instrument of Solar Dynamics Observatory (SDO) to study the magnetic field and oscillation at the solar surface. The HMI image is not enough to analyze very small magnetic features on solar surface since it has a spatial resolution of one arcsec. Super resolution is a technique that enhances the resolution of a low resolution image. In this study, we use a method for enhancing the solar image resolution using a Deep-learning model which generates a high resolution HMI image from a low resolution HMI image (4 by 4 binning). Deep learning networks try to find the hidden equation between low resolution image and high resolution image from given input and the corresponding output image. In this study, we trained a model based on a very deep residual channel attention networks (RCAN) with HMI images in 2014 and test it with HMI images in 2015. We find that the model achieves high quality results in view of both visual and measures: 31.40 peak signal-to-noise ratio(PSNR), Correlation Coefficient (0.96), Root mean square error (RMSE) is 0.004. This result is much better than the conventional bi-cubic interpolation. We will apply this model to full-resolution SDO/HMI and GST magnetograms.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.51 no.5
• /
• pp.160-167
• /
• 2014

This paper presents a spliced color image detection method using Benford' Law and color difference. For a suspicious image, after color conversion, the discrete wavelet transform and the discrete cosine transform are performed. We extract the difference between the ideal Benford distribution and the empirical Benford distribution of the suspicious image as features. The difference between Benford distributions for each color component were also used as features. Our method shows superior splicing detection performance using only 13 features. After training the extracted feature vector using SVM classifier, we determine whether the presence of the image splicing forgery. Experimental results show that the proposed method outperforms the existing methods with smaller number of features in terms of splicing detection accuracy.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.20 no.3
• /
• pp.23-30
• /
• 2010

Compression techniques can be applied to large-scale fingerprint systems to store or transmit fingerprint data efficiently. In this paper, we investigate the effects of FBI WSQ fingerprint image compression on the performance of a fingerprint verification system using multiple linear regressions. We propose a maximum compression using fingerprint image quality score. Based on the experiments, we can confirm that the proposed approach can compress the fingerprint images up to 3 times more than the fixed compression ratio without significant degradation of the verification accuracy.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2009.06a
• /
• pp.483-484
• /
• 2009

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2011.10a
• /
• pp.586-587
• /
• 2011

• Proceedings of the Korea Contents Association Conference
• /
• 2018.05a
• /
• pp.555-556
• /
• 2018

• The Research Journal of the Costume Culture
• /
• v.26 no.5
• /
• pp.806-821
• /
• 2018

The study aims to investigate the effects of media and self-image congruity of ideal body image on the dieting and exercising behaviors of Korean and U.S. female college students. This study focuses on the concept of self-image congruity in order to examine how respondents perceive actual and desired self-images compared to an ideal female body image selected by respondents. A self-administered survey was conducted, resulting in 331 total responses (194 from Korean students and 137 from U.S. students). The data were analyzed through descriptive analysis, t-test, exploratory factor analysis, and regression analysis using SPSS 23.0. The findings revealed significant differences between Korean and U.S. female college students. U.S. students were more exposed to body image ideals in the media than Korean students; however, Korean female students valued the information regarding ideal body image conveyed by the media more than U.S. respondents. Among Korean female students, exposure to media messages regarding ideal body image and media importance had significant effects on desired self-image congruity, while these factors were not significant among U.S. students. However, there was a negative effect of media exposure on actual self-image congruity among U.S. respondents only. Additionally, the study uncovered that Korean students manage their body image through dieting behaviors while U.S. respondents manage body image through exercise behaviors (weight training as well as cardiovascular exercise). The study provides further support for self-image congruity, which extends its applications to the body image field.