• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.16-29
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• 2024

Mogao Grottoes in Dunhuang, China is one of the world cultural heritage, is the largest ancient grottoes art group in the world, and is a natural and cultural place with outstanding universal value for mankind all over the world. Dunhuang music and dance derived from the murals of Mogao Grottoes is an artistic representation of its thousand-year-old glorious history and an indispensable historical material for research. As one of the iconic images of Dunhuang music and dance, the "rebound lute behind the back" dance posture has unique charm value both in the original mural composition and the stage image. This paper analyzes the characters holding pipa in Dunhuang murals by case analysis, comparative research and other relevant research methods, then studies the stage image and posture of "rebound lute behind the back", and finally analyzes the stage works of "rebound lute behind the back". It is concluded that the dance image of "rebound lute behind the back" is a dynamic stage art work gradually formed by artists from the static Dunhuang murals through refining, developing, processing and transforming. This is to revive the image of Dunhuang music and dance murals, to provide reference and reference for the inheritance and development of Dunhuang culture, and then to enhance and enrich the artistic value of excellent traditional Chinese culture and world cultural heritage.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.1
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• pp.105-109
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• 2015

This paper presents the results of an experimental analysis of the high-power laser (HPL)-induced damage to a complementary metal-oxide semiconductor (CMOS) image sensor. Although the laser-induced damages to metallic materials have been sufficiently investigated, the damages to electric-optic imaging systems, which are very sensitive to HPLs, have not been studied in detail. In this study, we experimentally analyzed the HPL-induced damages to a CMOS image sensor. A near-infrared continuous-wave (CW) fiber laser was used as the laser source. The influences of the irradiance and irradiation time on the permanent damages to a CMOS image sensor, such as the color error and breakdown, were investigated. The experimental results showed that the color error occurred first, and then the breakdown occurred with an increase in the irradiance and irradiation time. In particular, these damages were more affected by the irradiance than the irradiation time.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.6
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• pp.141-146
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• 2008

Recently, it is studying to provide to users through internet in the SensorWeb of OGC(Open Geospatial Consortium) saving and maintaining data and image information gathered from sensor network. It is necessary to study about data convergence as binding audio and video for delivering the sensing data and image information to users with real-time system. In this article, it suggests how to convergence sensing data and moving picture collected from the sensor network using index. This program indicates both of them that collected sensing data and information identified of moving picture in the integration index and based on this program provides sensing data moving picture at the same time referencing integration index, if the user asks. To verify suggested method designing real-time multimedia service structure using sensor network and image installation and implementing Ubiquitous realtime multimedia system integrating moving picture and sensing data based on index. As a result of this program, it is confirmed providing real-time multimedia service to request information of application service using integration index collected image and sensing data from wireless sensor network and image installation suggested data convergence method.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.185-191
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• 2018

The digital technologies brought a structural transformation to cinema, have lead a change in the way of existence of an assembly of images called cinema, and have shared expression methods with new-media. To look into how in terms of cinema style of the film era and the digital era are different, this article will focus on the matter of 'indexicality.' From the point of view of perceptive realism the discourses on digital image deconstruct the dichotomy between illusionism and classical realism. Therefore the actuality of an image does not depend on only indexicality but has much to do with how the viewers fundamentally perceive the image. In this age of digital cinema it does not matter to distinct a composite-image from a reality-image. This article inquires the relation of indexicality, the world and digital images in digital cinema on the level of reception, and reconsider in terms of image production.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.11
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• pp.188-194
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• 2013

In this paper, we proposed a new method for pulmonary vessels image segmentation and refinement from pulmonary image. Proposed method consist of following five steps. First, threshold estimation is performed by polynomial regression analysis of histogram variation rate of the pulmonary image. Second, segmentation of pulmonary vessels object is performed by density-based segmentation method based on estimated threshold in first step. Third, 2D connected component labeling method is applied to segmented pulmonary vessels. The seed point of both side diaphragms is determined by eccentricity and size of component. Fourth step is diaphragm extraction by 3D region growing method at the determined seed point. Finally, noise cancelation of pulmonary vessels image is performed by 3D connected component labeling method. The experimental result is showed accurately pulmonary vessels image segmentation, the diaphragm extraction and the noise cancelation of the pulmonary vessels image.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.41-46
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• 2021

The method of the edge detection algorithm based on grayscale mathematical morphology has the advantage that image noise can be removed and processed in parallel, and the operation speed is fast. However, the method of detecting the edge of an image using a single structural scale element may be affected by image information. The characteristics of grayscale morphology may be limited to the edge information result of the operation result by repeatedly performing expansion, erosion, opening, and containment operations by repeating structural elements. In this paper, we propose an edge detection algorithm that applies a structural element with strong directionality to noise and then applies weighted entropy to each pixel information in the element. The result of applying the multi-scale structural element applied to the image and the result of applying the directional weighted entropy were compared and analyzed, and the simulation result showed that the proposed algorithm is superior in edge detection.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1486-1494
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• 2021

Character recognition is a technology required in various platforms, such as smart parking and text to speech, and many studies are being conducted to improve its performance through new attempts. However, with low-quality image used for character recognition, a difference in resolution of the training image and test image for character recognition occurs, resulting in poor accuracy. To solve this problem, this paper designed an end-to-end learning neural network that combines image super-resolution and character recognition so that the character recognition model performance is robust against various quality data, and implemented an alternative whole learning algorithm to learn the whole neural network. An alternative end-to-end learning and recognition performance test was conducted using the license plate image among various text images, and the effectiveness of the proposed algorithm was verified with the performance test.

• 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 the Institute of Convergence Signal Processing
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• v.15 no.2
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• pp.30-36
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• 2014

Quality and resolution of camera in mobile device is improved significantly. In this paper, we propose block-based information hide techniques without image distortion for mobile device to solve image degradation in conventional watermarking methods. Information of image is composed with text such as camera maker, model, date, time, etc. Each text is converted to $8{\times}8$ pixel blocks and is added to the bottom of image. Generally image including block based information for image authentication are compressed using JPEG in mobile device. The vertical line value in JPEG header is modified by original size of image sensor. This technique can hide the block based authentication information using general decoder. In the experimental results, JPEG file size is slightly increased within 0.1% for the proposed block based authentication information encoding. Finally proposed methods can be adopted for various embedded systems using medical image, smart phone and DSLR camera.

• Convergence Security Journal
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• v.2 no.1
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• pp.77-86
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• 2002

In this paper, we propose a segmentation algorithm that can reliably separate moving objects from noisy background in the image sequence received from a camera at the fixed position. Image segmentation is one of the most difficult process in image processing and an adoption in the change of environment must be considered for the increase in the accuracy of the image. The proposed algorithm consists of four process : generation of the difference image between the input image and the reference image, removes the background noise using the background nois modeling to a difference image histogram, then selects the candidate initial region using local maxima to the difference image, and gradually expanding the connected regions, region by region, using the shape information. The test results show that the proposed algorithm can detect moving objects like intruders very effectively in the noisy environment.