• Journal of Satellite, Information and Communications
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• v.12 no.3
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• pp.69-73
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• 2017

In this paper, we developed a real-time image recognition algorithm based on machine learning and tested the performance of the algorithm. The real-time image recognition algorithm recognizes the input image in real-time based on the machine-learned image data. In order to test the performance of the real-time image recognition algorithm, we applied the real-time image recognition algorithm to the autonomous vehicle and showed the performance of the real-time image recognition algorithm through the application of the autonomous vehicle.

• Journal of the Korean Society of Costume
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• v.61 no.9
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• pp.1-14
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• 2011

The purpose of this study was to understand the relationship between one's social-self image and Online Avatar image. Influence of these virtual images on one's attitude toward real world and commitment to the virtual world was examined. In addition, the gender difference was examined. A structural equation model with social self image as exogenous variable and influence of Avatar as endogenous variable was designed. Real and ideal Avatar images were the mediating variable in the model. Survey questionnaire was developed and data from 425 respondents were analyzed. Results indicated that the conceptual model was a good fit to the data. Respondents who perceived their social self-images importantly were likely to have real images of Avatars. Ideal image and real image had significant on commitment to virtual world and attitudes toward the real world. For male respondents, social self image had stronger influence on real image of Avatar and ideal image had stronger influence on commitment to virtual world than female respondents.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1998.11a
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• pp.194-197
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• 1998

Image Processing은 Image Data가 대량이고 내재된 정보가 병렬로 연관성을 가진다는 측면에서 실시간 처리가 용이하지 알다. 본 연구에서는 High Speed Real Time Image Processing을 위한 IPU(Image Processing Unit)와 이를 구동하기 위한 High Speed Real Time image Processing Language인 IPASM(Image Processing Assembly)을 제안한다. 우선 IPU의 기본개념을 설명하고 IPU의 구현을 위한 IPLU(Image Processing Logic Unit)를 설계한다. 그 후 Window98환경에서 구동 가능한 IPASM Interpreter를 실제로 제작하여 IPU의 동작방식을 간접적으로 진단한다.

• Fashion & Textile Research Journal
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• v.5 no.5
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• pp.503-510
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• 2003

The purpose this study is to segments apparel market based on difference real-self image and ideal-self image. The objects of the study were to prepare for the establishment of marketing strategy and alternative plan intended to users which are needed in subdivided market, after analyzing according to what the subdivided market is divided into due to the difference real-self image and idea-self image and what difference do they show as a demographic special quality or as a general active special quality in each subdivided market. Factor analysis was performed to determine the leading difference real-self image and ideal-self image, and cluster analysis was employed to identify groups of respondents based on the delineated five image difference factors. Based on the finding, three distinct groups were formed: ideal-self image seeker group, moderators group, real-self image seeker group. And logistic regression was used to assess the relative importance that demographic characteristics play in determining the segmentation. The results of this study show statistically significant differences among the three groups in terms of demographic. Marketing and management implications for effectively targeting the segments are discussed.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.35.4-35
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• 2001

Image detection system for road traffic data analysis is a real time detection system using image processing techniques to get the real-time traffic information which is used for traffic control and analysis. One of the most important functions in this system is to match the coordinates of real world and that of image on video camera. When there in no way to know the exact position of camera and it´s height from the object. If some points on the road of real world are known it is possible to calculate the coordinates of real world from image.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.217-223
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• 2010

In the case of image magnification by using interpolation methods, interpolated pixels are estimated from the known pixels in source image. The magnified image is composed of the known pixels in source image and the interpolated pixels which is estimated. If the interpolated pixels are estimated to have the locality which is exists in real images, the magnified image is much closer to the real image. In this paper, an improved interpolation scheme is proposed to estimate pixels from the known pixels in source image using the locality which is exists in real images. The magnified image by using the proposed interpolation scheme is much closer to the real image. The performance of the proposed interpolation scheme is evaluated by using PSNR(Peak Signal to Noise Ratio) in experiment. The PSNR of the magnified image by using the proposed scheme is improved than that of the magnified images by using existing interpolation methods. So, the proposed interpolation scheme is an efficient interpolation method for the quality improvement of magnified image.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.8
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• pp.643-649
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• 2016

This paper presents a new image cache algorithm for real-time implementation of high-resolution color image warping. The cache memory is divided into four cache memory modules for simultaneous readout of four input image pixels in consideration of the color filter array (CFA) pattern of an image sensor and CFA image warping. In addition, a pipeline structure from the cache memory to an interpolator is shown to guarantee the generation of an output image pixel at each system clock cycle. The proposed image cache algorithm is applied to an FPGA-based real-time color image warping, and experimental results are presented to show the validity of the proposed method.

• Journal of the Korean Home Economics Association
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• v.44 no.11
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• pp.67-78
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• 2006

Self-concept is a multi-dimensional characteristic including self-image and self-evaluation. Self-image is the descriptive side of self-concept and is composed of the real self-image and the ideal self-image. Self-evaluation is the appraisable side self-concept and is composed of the internal self-concept, external self-concept and total score of self-concept. The purposes of this study were to determine the correlation of self-image and self-evaluation and to identify the effects of self-image and self-evaluation on consumption value. The data were collected from 237 college women residing in Gwangju using a questionnaire to investigate real/ideal self-image, self-evaluation and consumption value. The results were analyzed with factor analysis, Pearson's correlation and multiple regression analysis using statistical program SPSS 10.0. The results of this research were as follows. 1. The real self-image and ideal self-image had a significant correlation with internal self-concept, external self-concept and total score of self-concept. It was ensured that self-image and self-evaluation are one side of the multidimensional self-concept. 2. The real/ideal self-image and internal/external self-evaluation had a significant influence on consumption value. The real self-image and external self-evaluation were the most important variables explaining the consumption value.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3092-3107
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• 2019

Visible-infrared image fusion is a process of synthesizing an infrared image and a visible image into a fused image. This process synthesizes the complementary advantages of both images. The infrared image is able to capture a target object in dark or foggy environments. However, the utility of the infrared image is hindered by the blurry appearance of objects. On the other hand, the visible image clearly shows an object under normal lighting conditions, but it is not ideal in dark or foggy environments. In this paper, we propose a multi-guided filter and a real-time image fusion method. The proposed multi-guided filter is a modification of the guided filter for multiple guidance images. Using this filter, we propose a real-time image fusion method. The speed of the proposed fusion method is much faster than that of conventional image fusion methods. In an experiment, we compare the proposed method and the conventional methods in terms of quantity, quality, fusing speed, and flickering artifacts. The proposed method synthesizes 57.93 frames per second for an image size of $320{\times}270$. Based on our experiments, we confirmed that the proposed method is able to perform real-time processing. In addition, the proposed method synthesizes flicker-free video.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.3
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• pp.168-173
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• 2011

In this paper, an optical image hiding technique using real-valued decoding key is proposed. In the embedding process, a each zero-padded original image placed in a quadrants on an input plane is multiplied by a statistically independent random phase pattern and is Fourier transformed. An encoded image is obtained by taking the real-valued data from the Fourier transformed image. And then a phase-encoded pattern, used as a hidden image and a decoding key, is generated by the use of multiple phase wrapping from the encoded images. A transmitted image is made from the linear superposition of the weighted hidden images and a cover image. In reconstruction process, the mirror reconstructed images can be obtained at two quadrants by the inverse-Fourier transform of the product of the transmitted image and the decoding key. Computer simulation and optical experiment are demonstrated in order to confirm the proposed technique.