• Journal of Korea Multimedia Society
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• v.17 no.7
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• pp.797-805
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• 2014

In this paper we propose a new frame rate up conversion scheme which is used to overcome the motion blur problem of liquid crystal display caused by its slow response. The conventional bilateral motion estimation method which is mainly used in the frame rate up conversion scheme has a drawback that it cannot find true motion vector if there are blocks with simple texture in the search range. To solve this problem, a texture adaptive bilateral motion estimation method that increases cost value of block with simple texture is proposed. Also a motion estimation scheme that utilizes neighboring motion vector effectively is proposed to reduce computation time required to estimate motion. Since the proposed scheme does not apply all available motion vectors within the search range, the execution time of frame rate up conversion can be reduced dramatically. Experimental results show that the interpolated frame image quality of the proposed method is improved in subjective as well as objective view point compared with that of the conventional method.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.653-655
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• 1999

카메라 영상을 통하여 무인 헬리콥터 동작을 추정하기 위해 적응형 가중치를 사용한 새로운 Ego-Motion을 검출 기법을 제안하였다. 무인 헬리콥터 동적 특성은 비선형이며, 심한 진동 발생으로 영상 번짐(blur) 현상이 나타나기 때문에 상관 값만을 고려한 정합 방법으로는 빈번히 오차가 발생한다. 본 논문에서는 가속도, 각 가속도 및 제어입력 값에 의한 위치 추정 값과 상관 값 및 에지 강도를 가중치에 의해 융합하여 정확한 Ego-Motion을 계산할 수 있는 기법을 제안하였다. 또한 무인 헬리콥터의 가속도, 각 가속도, 상하 속도에 따라서 영상의 번짐 정도가 달라 이들 같이 크면 위치오차에 가중을 크게 주고, 작으면 상관 값에 가중치를 적게 주는 적응형 가중치 결정 알고리즘을 적용하였다. 제안한 적응형 가중치 기법을 무인 헬리콥터에 실험한 결과 카메라에 포착된 영상에 의해 무인헬기의 동작을 정확히 추정 할 수 있었다.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.1573-1576
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• 2008

A simulation system is developed to calculate the apparent motion-induced image from a sequence of temporal luminance transitions, while using the properties of the human visual system. Based on the simulation method, both edge (moving block) and detail degradation (line spreading, grating, sinusoidal pattern), and also color aberration are discussed.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.40 no.1
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• pp.43-48
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• 2012

This paper proposes a practical linear recursive robust motion deblurring filter using the inertial sensor measurements for strapdown image seekers. The angular rate information obtained from the gyro mounted on the missile is used to define the PSF(point spread function). Since the gyro output contains a unknown but bounded bias error. the motion blur image model can be expressed as the linear uncertain system. In consequence, the motion deblurring problem can be cast into the robust Kalman filtering which provides reliable state estimates even in the presence of the parametric uncertainty due to the gyro bias. Through the computer simulations using the actual IR scenes, it is verified that the proposed algorithm guarantees the robust motion deblurring performance.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.251-254
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• 2004

We developed a novel Fame interpolation method to interpolate a frame between two successive original frames. Using this method, we are able to apply a double-rate driving method instead of an impulse driving method where a black Fame is inserted between two successive original Fames. The double-rate driving method enables improvement to the motion blur of LCDs caused by the characteristics of human vision without reducing the luminosity of the whole screen. Here, we report on the initial model of our frame interpolation method.

• 한국정보디스플레이학회:학술대회논문집
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• 2005.07a
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• pp.129-133
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• 2005

An integrated pattern profile distortion is newly proposed to analyze various two-dimensional test patterns. The unit is converted to a time to make parameters comparable for various types of displays. In addition, this can be compared with that of extended blur edge width in time scale, which has been reported.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.40-47
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• 2015

VR(virtual reality) which already is used commonly in diverse areas including entertainment, design, and simulation training is most important area in ICT. VR already has various uses within the tourism sector. As VR technology continues to evolve, there is little reason to doubt that it will become more prevalent throughout society and the tourism sector in particular. In this paper, we plan to improve the VR content to the market possibility and competitiveness of VR content in the culture industry. Out of focus, lens dust, motion blur, blur effect were minimized to improve the simulation sickness which caused by the cognitive dissonance in the HMD. And also, the content was considered UI design for user's immersion.

• Journal of Korean Tunnelling and Underground Space Association
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• v.19 no.5
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• pp.813-827
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• 2017

Surveillance cameras installed in tunnels capture the various video frames effected by dynamic and variable factors. In addition, localizing and managing the cameras in tunnel is not affordable, and quality of capturing frame is effected by time. In this paper, we introduce a new method to detect and track the vehicles in tunnel by using surveillance cameras installed in a tunnel. It is difficult to detect the video frames directly from surveillance cameras due to the motion blur effect and blurring effect on lens by dirt. In order to overcome this difficulties, two new methods such as Differential Frame/Non-Maxima Suppression (DFNMS) and Haar Cascade Detector to track cars are proposed and investigated for their feasibilities. In the study, it was shown that high precision and recall values could be achieved by the two methods, which then be capable of providing practical data and key information to an automatic accident detection system in tunnels.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.181-184
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• 2005

기존의 비디오 분할 방법은 밝기의 변화가 큰 영상이나 움직임이 큰 영상에 대해서는 정확한 분할이 이루어지지 않았다. 본 논문은 움직임 정보를 이용하여 움직임이 큰 영상에서 좀 더 정확하게 비디오를 분할할 수 있는 방법을 제안한다. 이를 위해 블록 정합 알고리즘을 이용하여 얻어진 움직임 벡터로부터 움직임 유사도를 찾는 방법을 제안한다. 또 연속된 프레임에서 픽셀의 차이 값을 계산할 때 motion blur 로 생기는 오차를 각 블록의 움직임 크기로 보상하여 좀 더 정확한 픽셀의 차이 값을 계산하는 방법을 제안한다. 이렇게 얻어진 두 가지 정보를 이용하여 discontinuity value 를 계산한다. 움직임이 많은 액션 영화 3 편에 대해 실험한 결과 제안한 방법이 기존의 움직임 유사도와 픽셀 차이 값을 구하여 샷 경계 검출을 하는 방법보다 좀 더 정확한 샷 경계 검출을 하고 있다는 것을 보여준다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06a
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• pp.87-90
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• 1998

움직임 열화(motion blur)현상은 카메라와 피사체간의 상대적임 움직임에 발생되는 영상의 번짐 현상으로, 본 논문에서는 새롭게 제시한, 노이즈의 분산을 산출해 내기 위한 노이즈 지배영역과, 움직임 열화와 각도와 길이를 추정해내기 위한 신호 지배영역을 통하여 움직임 열화의 파라메터를 효율적으로 추정할 수 있는 방법을 제시하였다. 또한, 새롭게 제안한 가변가중치(weight)를 적용한 최소자승법(Least Man Square)은 극점 자취의 방향 추정에 있어 정밀한 측정이 가능케 한다. 열화의 방향이 얻어지면, 1차원 셉스트럼(Cepstrum)방법으로 빠르게 움직임 열화의 길이를 구할 수 있게 된다. 이러한 방법으로 얻어진 정보들을 이용하여, 실제 손상되어진 영상을 효과적으로 복원할 수 있었다.