• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.830-833
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• 2009

Deblocking Filter (DF) is newly introduced into H.264/AVC to remove blocky artifacts. It improves the picture quality and the improved picture is set to the frame buffer for motion compensation. As a result, higher coding efficiency is achieved by DF. However, if the original image has heavily-slanted patterns, DF removes the edges to be kept because it is applied only perpendicularly to the block boundaries. In this paper, we propose Edge Adaptive Deblocking Filter (EADF) which is applied not only for the perpendicular but also for several slanted directions to deal with the problem. Simulation results showed us that EADF was especially effective for the sequence "Foreman" with PSNR gain of 0.04 dB.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 춘계종합학술대회 A
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• pp.285-288
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• 2008

In ubiquitous computing environment the biological signal ECG (Electrocardiogram signal) is usually recorded with noise components. Adaptive interference (or noise) canceller do adaptive filtering of the noise reference input to maximally match and subtract out noise or interference from the primary (signal plus noise) input thereby adaptively eliminate unwanted interference from the ECG signal. Measured Stress ECG (or exercise ECG signal) signal have three major noisy component like baseline wander noise, motion artifact noise and EMG (Electro-mayo-cardiogram) noise. These noises are not only distorted signal but also root of incorrect diagnosis while ECG data are analyzed. Motion artifact and EMG noises behave like wide band spectrum signals, and they considerably do overlapping with the ECG spectrum. Here the multidimensional adaptive method used for filtering which is more effective to improve signal to noise ratio.

• 전기학회논문지
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• 제67권5호
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• pp.675-679
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• 2018

A novel heart rate estimation algorithm is presented based on normalized least-mean-square (NLMS) algorithm. This paper presented a three-step processing scheme for estimating heart rate from PPG signal with motion artifacts. The proposed active noise cancellation algorithm has low computational complexity compared to the NLMS algorithm. Experimental results show that the proposed algorithms perform similar with the previous algorithm under motion artifact noises.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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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.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2003년도 추계학술대회 및 정기총회
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• pp.201-206
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• 2003

In clinical practice, CT Angiography is a powerful technique for the visualziation of blood flow in arterial vessels throughout the body. However CT Angiography images of blood vessels anywhere in the body may be fuzzy if the patient moves during the exam. In this paper, we propose a novel technique for removing global motion artifacts in the 3D space. The proposed methods are based on the two key ideas as follows. First, the method involves the extraction of a set of feature points by using a 3D edge detection technique based on image gradient of the mask volume where enhanced vessels cannot be expected to appear, Second, the corresponding set of feature points in the contrast volume are determined by correlation-based registration. The proposed method has been successfully applied to pre- and post-contrast CTA brain dataset. Since the registration for motion correction estimates correlation between feature points extracted from skull area in mask and contrast volume, it offers an accelerated technique to accurately visualize blood vessels of the brain.

• 대한전자공학회논문지SP
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• 제39권3호
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• pp.58-65
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• 2002

본 논문에서는 프레임간 압축된 영상의 블록화 현상을 감소시키기 위해 재구성하기 전 차분 영상을 처리하는 새로운 복원 알고리듬을 제안한다. 프레임내 압축 영상의 블록화 현상은 오직 8×8 DCT에 의해서 일어나는 반면에, 프레임간 압축된 영상에서는 8×8 DCT뿐만 아니라 움직임 보상을 위해 사용한 16×16의 매크로 블록에 의해서 발생된다. 이러한 이유로 본 논문에서는 차분 영상에 대한 새로운 열화모델을 제시하고, 블록 경계와 내부의 불연속에 대한 POCS를 이용한 복원 알고리듬을 제시한다. 제안된 알고리듬은 DCT계수의 일부를 이용해 블록 경계의 방향을 고려하는 공간 적응적 저대역 통과 필터를 포함하는 표준 정규화의 변환된 형태이다. 일반적인 비디오 압축 표준은 블록을 기준으로 하는 움직임 보상과 블록 이산여현 변환(BDCT)을 이용한 혼성(hybrid) 구조를 채택하고 있다. 이러한 이유에서 블록화 현상은 블록 경계와 블록 내부에서 일어난다. 두 종류의 블록화 현상을 좀 더 완벽히 제거하기 위해서 복원된 차분 영상은 블록 경계와 블록 내부에서의 방향성 불연속과 같은 제약조건을 만족시켜야만 한다. 그러한 제약조건은 차분 영상을 복구하기 위한 convex set을 정의하는데 이용한다.

• Imaging Science in Dentistry
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• 제50권3호
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• pp.227-236
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• 2020

Purpose: Image artifacts caused by patient motion cause problems in cone-beam computed tomography (CBCT) because they lead to distortion of the 3-dimensional reconstruction. This prospective study was performed to quantify patient movement during CBCT acquisition and its influence on image quality. Materials and Methods: In total, 412 patients receiving CBCT imaging were equipped with a wireless head sensor system that detected inertial, gyroscopic, and magnetometric movements with 6 dimensions of freedom. The type and amplitude of movements during CBCT acquisition were evaluated and image quality was rated in 7 different anatomical regions of interest. For continuous variables, significance was calculated using the Student t-test. A linear regression model was applied to identify associations of the type and extent of motion with image quality scores. Kappa statistics were used to assess intra- and inter-rater agreement. Chi-square testing was used to analyze the impact of age and sex on head movement. Results: All CBCT images were acquired in a 10-month period. In 24% of the investigations, movement was recorded (acceleration: >0.10 [m/s²]; angular velocity: >0.018 [°/s]). In all examined regions of interest, head motion during CBCT acquisition resulted in significant impairment of image quality (P<0.001). Movement in the horizontal and vertical axes was most relevant for image quality (R²>0.7). Conclusion: Relevant head motions during CBCT imaging were frequently detected, leading to image quality loss and potentially impairing diagnosis and therapy planning. The presented data illustrate the need for digital correction algorithms and hardware to minimize motion artefacts in CBCT imaging.

• 방송공학회논문지
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• 제18권4호
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• pp.543-549
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• 2013

자율신경계 및 중추신경계 반응 신호는 취득 시 피험자의 움직임이 있는 경우 노이즈가 첨가되어 의도한 분석이 불가능하게 될 수 있다. 본 논문에서는 생리신호 취득시 피험자의 영상을 동시에 촬영 및 분석하고 움직임을 감지하여, 생리신호의 노이즈 구간을 정의하는 방법을 제안한다. 움직임 감지를 위해 시계열에서 영상 프레임간 1차 미분하고 임계치 이상 움직임이 발생했을 때를 해당 신호의 노이즈 발생 구간으로 정의하였다. 또한, 영상을 사용하지 않는 방법으로써, 수집된 신호를 주기 단위로 분석하여 길이와 높이를 특징으로 한 정상 신호를 2차원 가우시안 확률밀도함수로 모델화하여, 신호의 훼손 구간을 정의하는 방법을 제안한다. 두 방법으로 정의된 훼손 구간은 가우시안 함수를 기반으로 보간하였다. 광혈류량 신호에 적용한 결과, 심전도 신호에서 추출된 평균 심박간격에 가까운 수치로 복원됨을 확인하였다. 또한, 영상기반 방법은 정상구간을 훼손구간으로, 신호기반 방법은 훼손구간을 정상구간으로 잘못 인식하는 경우가 나타남을 확인하였다.

• Investigative Magnetic Resonance Imaging
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• 제1권1호
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• pp.51-57
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• 1997

MRI의 artifact는 대부분 신호의 부호화 방향에 따라서 방향성을 가지는데, 이를 요약해보면, 위상부호화 방향의 artifact에는 motion artifact, flow artifact, RF noise등이 있고, 주파수 부호화 방향의 artfact는 susceptibility artfact, chemical shift artifact, central line artifact등이 있으며, 양방향 모두 생길수 있는 것은 Aliasing artifact와 Gibb's phenomenon이고, 전체적으로 영샹의 질을 떨어뜨리는 것은 susceptibility artifact, Eddy current, cross talk등이 있다. 이런 artifact는 대부분은 MRI 자체의 물리적 특성에 다소간 기인하므로, artifact가 없는 양호한 영상을 얻기 위해서는 MRI의 설치 단계부터 관심이 필요하고, MRI의 기본원리와 다양한 artifact에 대해 이해함으로써, 제거 가능한 artifact는 제거하여 양질의 영상을 만들고 판독시의 오류를 피할 수 있도록 해야할 것이다.

• Journal of information and communication convergence engineering
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• 제9권2호
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• pp.220-223
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• 2011

Respiration signal of the vital signs is an important parameter in clinical parts. To extract the respiration signal from PPG signal for mobile healthcare system is difficult because the bands of the motion artifacts and respiration in the frequency domain are overlapped. This study to improve this problem suggested a respiration extraction method using the independent component analysis and evaluated its performances. In results of evaluation, the ICA method showed better performance than LPF suggested recently.