• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.9C
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• pp.868-875
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• 2003

In this paper, enhanced multiresolution motion estimation(MRME) using reduction of one-pixel shift in wavelet domain is proposed. Conventional multiresolution motion estimation using hierarchical relationship of wavelet coefficient has difficulty for accurate motion estimation due to shift-variant property by decimation process of the wavelet transform. Therefore, to overcome shift-variant property of wavelet coefficient, two level wavelet transform is performed. In order too reduce one-pixel shift on low band signal, S$_4$ band is interpolated by inserting average value. Secondly, one level wavelet transform is applied to the interpolated S$_4$ band. To estimate initial motion vector, block matching algorithm is applied to low band signal S$_{8}$. Multiresolution motion estimation is performed at the rest subbands in low level. According to the experimental results, proposed method showed 1-2dB improvement of PSNR performance at the same bit rate as well as subjective quality compared with the conventional multiresolution motion estimation(MRME) methods and full-search block matching in wavelet domain.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.1
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• pp.60-69
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• 2019

In this paper, we deal with forward-looking imaging, and focus on forward-looking synthetic inverse scattering imaging for a vehicle with curved motion. For image formation, time domain correlation(TDC) is used and a 2D image of the ground in front of the vehicle is generated. Because TDC is a technique that implements matched filtering for a space-variant system, it is robust to Gaussian additive noise of measurements. Furthermore, comparison and analysis between images from linear motion and curved motion show that the resolution of the image is improved; however, the entropy of the image is increased owing to curved motion.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.2C
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• pp.110-120
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• 2003

In this paper, we propose a Multiresolution Motion Estimation(MRME) adapted to Low-Band-Shift(LBS) method in wavelet domain. To overcome shift-variant property on wavelet coefficients, the LBS was previously proposed. This method which is applied to reference frame in video coding technique, has superior performance in terms of rate-distortion characteristic. However, this method needs more memory and computational complexity. In this paper, The computational complexity of the proposed method(LBS-MRME) is about 15.6% of that of existing method at 3-level wavelet transform. And although it has about 7 times as much as existing method's motion vector since each subband has different motion vector, it decreases motion compensated prediction error by detailed motion estimation, and then has better efficient coding performance. The experimental results with the proposed method showed about 0.3∼11.6% improvement of MAD performance in case of lossless coding, and 0.3∼3.0㏈ improvement of PSNR performance at the same bit rate in case of lossy coding.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.349-352
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• 2001

일반적인 동영상 압축 부호화 방법에서 시간적 중복 정보를 줄이기 위해 움직임 예측과 움직임 보상 방법을 이용한다. 웨이블릿 변환을 이용한 동영상 압축 부호화 기법 중에는 기존의 공간 영역에서의 움직임을 예측하는 대신에 웨이블릿 변환 영역에서 움직임을 예측하기도 한다. 이러한 방법은 움직임 예측 시간을 줄이는 장점이 있지만, 웨이블릿 변환에서 추림(Desimation)하는 과정에서 천이-변동 문제 (Shift-Variant Problem)를 일으켜 좋지 않은 성능을 나타낸다. 본 논문에서는 웨이블릿 영역에서의 다중 해상도 움직임 예측에서 천이-변동 문제를 해결하기 위한 새로운 움직임 예측과 움직임 보상 방법을 제안한다. 제안된 방법은, 기존의 공간 영역에서의 블록 정합 방법과 비교하여, 더 높은 화질을 나타낼 뿐 아니라, 주관적 화질에도 개선된 결과를 보인다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.05a
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• pp.105-107
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• 2003

강자성 형상기억합금은 기존의 압전재료 및 열적 형상기억합금을 이용한 전기-열-기계적 거동의 액츄에이터 재료를 대신할 수 있는 새로운 고성능 액츄에이터 재료로서 각광을 받고 있다. 그러한 강자성 형상기억합금들 중의 한 종류로서 단결정 및 다결정 $Ni_{2}MnGa$ 합금을 이용하여 자장인가시 변형을 관찰하였다. 거대 자장 유기 변형률을 설명하기 위하여 두 모델이 제안되었다. 변태 온도보다 낮은 온도에서는 마르텐사이트 상의 재배열에 의하여 변형이 일어났으며, 그 변태온도보다 높은 온도에서는 상변태에 의한 변형이 일어났다. 미세구조 관찰을 통하여 인가 자장의 방향에 따라 우선적으로 형성되는 마르텐사이트상을 관찰하였다.