• Journal of Broadcast Engineering
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• v.17 no.4
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• pp.695-706
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• 2012

The purpose of this paper is to propose a service system for a digital hologram video, which has not been published yet. This system assumes the existing service frame for 2-dimensional or 3-dimensional image/video, which includes data acquisition, processing, transmission, reception, and reconstruction. This system also includes the function to service the digital hologram at the viewer's view point by tracking the viewer's face. For this function, the image information at the virtual view point corresponding to the viewer's view point is generated to get the corresponding hologram. Here in this paper, only a prototype that includes major functions of it is implemented, which includes camera system for data acquisition, camera calibration and image rectification, depth/intensity image enhancement, intermediate view generation, digital hologram generation, and holographic image reconstruction by both simulation and optical apparatus. The proposed prototype system was implemented and the result showed that it takes about 352ms to generate one frame of digital hologram and reconstruct the image by simulation, or 183ms to reconstruct image by optical apparatus instead of simulation.

• Journal of KIISE:Software and Applications
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• v.33 no.10
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• pp.862-867
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• 2006

To restore image degraded by blur and additive noise in the optical and electrical system, a regularized iterative restoration is used. A regularization operator is usually applied to all over the image without considering the local characteristics of image in conventional method. As a result, ringing artifacts appear in edge regions and the noise is amplified in flat regions. To solve these problems we propose an adaptive regularization iterative restoration considering the characteristic of edge and flat regions using directional regularization operator. Experimental results show that the proposed method suppresses the noise amplification in flat regions, and restores the edge more sharply in edge regions.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.133-140
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• 2005

This paper presents a rapid face shape acquisition system. The system is composed of two cameras and one projector. The technique works by projecting a pattern on the object and capturing two images with two cameras. We use a 'one shot' system which provides 3D data acquired by single image per camera. The system is good for rapid data acquisition as our purpose. We use the 'absolutely coded pattern' using the hue and saturation of pattern lines. In this 'absolutely coded pattern' all patterns have absolute identification numbers. We solve the correspondence problem between the two images by using epipolar geometry and absolute identification numbers. In comparison to the 'relatively coded pattern' which uses relative identification numbers, the 'absolutely coded pattern' helps obtain rapid 3D data by one to one point matching on an epipolar line. Because we use two cameras, we obtain two images which have similar hue and saturation. This enables us to have the same absolute identification numbers in both images, and we can use the absolutely coded pattern for solving the correspondence problem. The proposed technique is applied to face data and the total time for shape acquisition is estimated.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.9B
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• pp.1360-1368
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• 2010

Recently, as the development of Radio Frequency Identification (RFID) technology becomes active, the demand for services which can electronically manage the history and location information of major trees, including trees for cultural heritage restoration and nurse trees, has been increased. This information has been managed by separated drawings and documents or storing its information into PDAs and then structuring data files through input and computation. But, these methods imply limitations in terms of its extensibility and scalability. This paper has designed and implemented an RFID based Tree History Information System (THIS) for cultural heritage restoration. The purpose of the proposed system is to support to be able to effectively and consistently manage historical information of major trees and improve working processes by implementing mobile RFID services through wireless Internet or Local Area Network (LAN) as mobile communication networks. Through implementation, it is confirmed that the proposed system can manage the historical information of major trees more effectively than conventional methods and also improve previous field working conditions.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.2
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• pp.72-80
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• 1996

본 논문은 카오스 발생회로(chaos generation circuit)를 설계 및 구현하고, 카오스 회로들간의 카오스 동기화(chaos synchronization) 알고리즘을 기초로 하여 카오스 변조통신을 구성하여 음성비화시스템의 구현에 관하여 실험적으로 검증했다. Pecorra와 Carroll 은 카오스 신호로서 카오스 시스템을 구동하면 카오스 동기화가 가능하다고 발표했다. 이러한 제어기법은 카오스 신호의 마스킹과 복원 알고리즘의 등장을 초래했다. 본 연구는 카오스 신호를 발생하기 위하여 상태변수 기법을 이용하여 로렌쯔(Lorenz) 카오스 발생회로를 하드웨어로 구현했다. 수치 실험 및 보드상의 실험에서 카오스 회로는 카오스의 동적특성을 나타냈으며, 카오스 발생회로들간의 카오스 동기제어를 아루었다. 음성비화를 위한 카오스 신호의 변조는 카오스 신호에 음성신호를 가산하여 송신하며, 광대역)spread spectrum)의 카오스 변조통신 (chaotic modulation communication)에서 음성정보는 수신시스템의 카오스 부시스템에서 카오스 신호를 빼내어 신호를 복원한다. 보드상에서 하드웨어로 구현한 카오스 변.복조 통신시스템을 구성하여 음성신호와 비화통신에 카오스 지능제어기법을 적용하였다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.594-596
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• 1998

본 논문에서는 컴퓨터 비젼의 사진측량학적 방법과 대상물의 기하학적 정보를 결합하여, 사진으로부터 건축물의 정확한 값을 복원해 내는 새로운 모델링 시스템을 소개한다. 사용자의 간단한 프로토타입핑으로 얻은 대략의 모델 정보를 시스템이 사진 이미지와의 오차를 최소화하는 방법으로 자동적으로 모델 정보를 복원해 내며, 사진에서 최선의 텍스쳐 맵을 생성해 내므로, 세밀한 모델링 없이도 사진 수준의 사실적인(photo-realistic)모델을 얻을 수 있다. 빠르고 간단한 방법으로 실재 대상의 효과적인 모델을 얻을 수 있는 이 연구의 성과는 가상현실 분야의 모델링 작업에서 추구하는 바와 일치하므로, 가상현실 분야에서 유용하게 사용될 것으로 보이며, 알맞은 대상에 적용을 통해 실질적인 응용이 기대되어진다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1997.11a
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• pp.139-143
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• 1997

본 논문에서는 점확산함수(point spread function; PSF)의 추정을 기반으로 한 완전한 자동초점 시스템을 제안한다. 초점이 맞지 않은 영상의 정확한 PSF의 추정을 위해서, 입력 영상을 부영상으로 분할하고, 에지를 가진 부영상들의 계수함수 응답의 평균을 취한다. 초점이 맞지 않은 열화로 발생하는 PSF는 보통 영상이 물체와 배경간에 선형의 경계를 가지고 있다는 가정하에 에지의 방향을 따라 평균되어진 계단함수 응답의 차이를 따라 추정되어진다. 이렇게 예측된 PSF를 사용하여 영상복원 필터는 제한적 최소 제곱의 접근방법을 통해 구현되어진다.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2003.11a
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• pp.265-267
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• 2003

3차원 영상정보처리에 이용되는 변형 삼각간섭계는 인코히어런트 광을 이용한 3차원 영상정보의 기록과 복원에 이용되고 있다. 최근에는 3차원 영상의 기록과 재생이외의 분야, 예를 들면 3차원 물체의 결함검출 및 현미경분야에 대한 활용 연구도 진행되고 있다. 본 연구에서는 이러한 분야에 응용이 되고 있는 변형 삼각간섭계의 시스템개선과 시스템에 대한 전달함수와 PSF(point-spread function)의 일반화를 시도하였으며, 변형 삼각간섭계에 대한 복소홀로그램 생성과 수치적 복원영상결과도 제시하였다.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.7
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• pp.387-396
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• 2004

In this paper, we propose an algorithm that distributes processor time to the tasks decoding encoded frames with a goal maximizing total QoS (quality of services) of video conference system. An encoded frame has such a characteristic that the QoS of recovered frame image also increases as the processor time given for decoding the frame gets to increase. Thus, the quality of decoded image for each frame can be represented as a QoS function of the amount of service time given to decode. In addition, every stream of video conference has close time-dependency between continuous frames belonging to the same stream. Based on the time-dependency and QoS functions, we propose an on-line frame scheduling algorithm which does not schedule all frames in the system but just a few frames while maximizing total QoS of video streams in the conference. The simulation results show that, as the system load gets to increase, the proposed algorithm compared to the existing EDF algorithm can reduce the quality of decoded frame images more smoothly and show the movements of conference attendees more naturally without short cutting.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.2
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• pp.57-62
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• 1999

Estimation of the point spread function (PSF) is one of the main research topic of image processing, because it determines the performance of the auto-focusing system. In this paper, a new algorithm for PSF estimation is proposed, and its application to image restoration is also presented. The procedure for complete realization of the auto-focusing system consists of two steps: PSF estimation based on edge classification, and image restoration using the estimated PSF. More specifically, we divide imput image into multiple small image or block, estimate unit step response and average them on the blocks which contain edge, and estimate 2-dimensional isotropic PSF from the 1 dimensional step response. Finally we obtain in-focused image by using image restoration based on the estimated PSF.