• 제목/요약/키워드: range estimation

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슈퍼픽셀 기반의 움직임 추정을 이용한 HDR 동영상 합성 (HDR Video Synthesis Using Superpixel-Based Motion Estimation)

  • ;이철
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2018년도 하계학술대회
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    • pp.90-91
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    • 2018
  • We propose a novel high dynamic range (HDR) video synthesis algorithm using alternatively exposed low dynamic range (LDR) videos. We first develop a superpixel-based illumination invariant correspondence estimation algorithm. Then, we propose a reliability weight to further improve the quality of the synthesized HDR frame. Experimental results show that the proposed algorithm provides high-quality HDR frames compared to conventional algorithms.

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OFDM 시스템에 알맞은 낮은 복잡도의 주파수 옵셋 추정 기법 (A Low Complexity Frequency Offset Estimation Scheme for OFDM Systems)

  • 이영윤;정다해;윤태웅;송정한;김상훈;박소령;윤석호
    • 한국통신학회논문지
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    • 제34권5C호
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    • pp.548-554
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    • 2009
  • 직교 주파수 분할 다중화 (orthogonal frequency division multiplexing: OFDM) 시스템은 주파수 옵셋에 매우 민감하다. 따라서 주파수 옵셋 추정은 OFDM 시스템에서 매우 중요하다. 최근 Ren에 의해 제안된 주기도표 기반의 주파수 옵셋 추정 기법은 세 개의 단계로 구성되어 있으며, 정밀하게 주파수 옵셋을 추정할 수 있다. 하지만 두 번째 단계와 세 번째 단계에서의 주파수 옵셋 추정 가능 범위가 좁다는 단점이 있다. 이는 전체 신호의 대역폭파 비교하였을 때 추정 가능 범위가 좁으며, 첫 번째 단계에서의 시스템 복잡도를 증가시킨다. 따라서 본 논문에서는 OFDM 시스템에서 넓은 주파수 옵셋 추정 범위를 제공하며 낮은 복잡도를 지니는 새로운 기법을 제안한다. 모의실험을 통하여 제안된 기법의 주파수 옵셋 추정 범위가 Ren의 기법보다 넓으며, 시스템 복잡도는 낮음을 알 수 있다.

유사 비디오 시퀀스 기반의 라이트필드 영상 부호화를 위한 움직임 탐색 영역 제한 (Limiting Motion Search Range for the Pseudo Video Sequence-based Light Field Image Coding)

  • 임종훈;;;전병우
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2022년도 하계학술대회
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    • pp.182-183
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    • 2022
  • The large data volume of light field (LF) image has motivated much research on how to compress the data volume more efficiently. One of the approaches is to compress LF images after representing them in the form of pseudo video sequence. In this way, the pseudo temporal redundancy between views can be exploited by motion estimation and compensation. Based on our observation that images obtained by LF cameras have small range of disparity values between adjacent views, we propose to limit the motion search range to reduce the time complexity of motion estimation. Our experimental results show that a smaller motion search range reduces the encoding time while not affecting the bitrate of H.266/VVC much.

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센서네트워크 내의 IV 기법과 QCLS 기법을 결합한 위치 추정 (Target Localization using Combination of the IV and QCLS Method in the Sensor Network)

  • 김용휘;최가형;윤태성;박진배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.1768-1769
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    • 2011
  • The nonlinear estimation and the pseudo-linear estimation are used to treat the target localization in sensor network which provides range difference of arrival (RDOA) measurements. It is known that the nonlinear estimation has sensitive problem for the initial estimate and the pseudo-linear estimation has a large estimation error. The QCLS method is the typical estimator of the methods for pseudo-linear estimation. However the estimate by using the QCLS method includes the estimation error because the first stage of two estimation processes of the QCLS method causes the biased estimation error. Therefore we propose a instrumental variables(IV) method for minimizing the estimation error of the first stage. The simulation shows that the performance of the proposed method is superior to the QCLS method.

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EMG-Based Muscle Torque Estimation for FES Control System Design

  • Hyun, Bo-Ra;Song, Tong-Jin;Hwang, Sun-Hee;Khang, Gon;Eom, Gwang-Moon;Lee, Moon-Suk;Lee, Bum-Suk
    • 대한의용생체공학회:의공학회지
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    • 제28권1호
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    • pp.29-35
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    • 2007
  • This study was designed to investigate the feasibility to utilize the electromyogram (EMG) for estimating the muscle torque. The muscle torque estimation plays an important role in functional electrical stimulation because electrical stimulation causes muscles to fatigue much faster than voluntary contraction, and the stimulation intensity should then be modified to keep the muscle torque within the desired range. We employed the neural network method which was trained using the major EMG parameters and the corresponding knee extensor torque measured and extracted during isometric contractions. The experimental results suggested that (1) our neural network algorithm and protocol was feasible to be adopted in a real-time feedback control of the stimulation intensity, (2) the training data needed to cover the entire range of the measured value, (3) different amplitudes and frequencies made little difference to the estimation quality, and (4) a single input to the neural network led to a better estimation rather than a combination of two or three. Since this study was done under a limited contraction condition, the results need more experiments under many different contraction conditions, such as during walking, for justification.

질감 활성도 기반 양방향 움직임 추정과 인접 움직임 정보를 이용한 프레임률 증가 기법 (Frame rate up conversion method using bilateral motion estimation based on texture activity and neighboring motion information)

  • 정윤호;김진형;고윤호
    • 한국멀티미디어학회논문지
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    • 제17권7호
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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.

H.264 동영상 표준 부호화 방식을 위한 고속 움직임 추정 기법 (Fast Motion Estimation Algorithm for H.264 Video Coding Standard)

  • 윤성현;최권열;이성수;홍민철
    • 한국통신학회논문지
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    • 제30권11C호
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    • pp.1091-1097
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    • 2005
  • 본 논문에서는 H.264 동영상 표준 부호화 방식을 위한 고속 움직임 추정 기법을 제안한다. 제안된 고속 움직임 추정 기법은 움직임 벡터가 국부적으로 일정한 상관관계를 유지하고 있다는 특성을 이용하여 각 블록의 움직임 추정 시 부호화된 인접 블록의 움직임 벡터 값으로부터 주어진 탐색 영역 내에서 수평, 수직 방향 각각 독립적으로 불필요한 탐색 영역을 제거하여 축소된 비대칭 가변 크기 탐색 영역을 결정한다. 또한, 예측된 탐색 영역제약 조건을 이용하여 가변 단계 탐색 방식을 취하는 것을 특징으로 한다. 실험 결과를 통해 제안된 방식에 의해 움직임 추정 탐색 지점이 전영역 탐색 방식(Full Search)에 비해 평균 $98\%$ 이상 절감되었으며, PSNR과 비트율은 평균적으로 전영역 탐색 방식과 등일 수준인 것을 결과로부터 확인 할 수 있었다.

Absolute Depth Estimation Based on a Sharpness-assessment Algorithm for a Camera with an Asymmetric Aperture

  • Kim, Beomjun;Heo, Daerak;Moon, Woonchan;Hahn, Joonku
    • Current Optics and Photonics
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    • 제5권5호
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    • pp.514-523
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    • 2021
  • Methods for absolute depth estimation have received lots of interest, and most algorithms are concerned about how to minimize the difference between an input defocused image and an estimated defocused image. These approaches may increase the complexity of the algorithms to calculate the defocused image from the estimation of the focused image. In this paper, we present a new method to recover depth of scene based on a sharpness-assessment algorithm. The proposed algorithm estimates the depth of scene by calculating the sharpness of deconvolved images with a specific point-spread function (PSF). While most depth estimation studies evaluate depth of the scene only behind a focal plane, the proposed method evaluates a broad depth range both nearer and farther than the focal plane. This is accomplished using an asymmetric aperture, so the PSF at a position nearer than the focal plane is different from that at a position farther than the focal plane. From the image taken with a focal plane of 160 cm, the depth of object over the broad range from 60 to 350 cm is estimated at 10 cm resolution. With an asymmetric aperture, we demonstrate the feasibility of the sharpness-assessment algorithm to recover absolute depth of scene from a single defocused image.

심층신경망을 활용한 활주로 가시거리 예측 모델 개발 (Development for Estimation Model of Runway Visual Range using Deep Neural Network)

  • 구성관;홍석민
    • 한국항행학회논문지
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    • 제21권5호
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    • pp.435-442
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    • 2017
  • 안개 등의 영향을 받는 활주로 시정은 비행장에서 항공기 이착륙의 가능 여부를 결정하는 주요 지표중 하나이다. 운송용 항공기가 운항되는 공항의 경우 활주로 시정을 포함한 주요 국지 기상 예보를 시행하며, 이를 항공종사자가 확인할 수 있도록 하고 있다. 본 논문은 최근 영상 처리, 음성 인식, 자연어 처리 등의 다양한 분야에 적용되고 있는 심층신경망을 활주로 시정 예측에 적용하여 국지 비행장의 활주로 시정 예측 모델을 개발하고 이를 활용한 예측을 수행하였다. 적용 대상 비행장의 과거 실제 기상 관측 값을 활용하여 신경망 학습 후 시정에 대한 예측을 수행하였고, 기존 관측 데이터와 비교한 결과 비교적 정확한 예측 결과를 확인하였다. 또한 개발된 모델은 별도의 예보 기능이 없는 해당 비행장에서 참고할 수 있는 기상정보를 생성하는데 사용될 수 있을 것이다.

해면 산란효과에 의한 선박 방사소음 추정치 오차 (Error Characteristics of Ship Radiated Noise Estimation by Sea Surface Scattering Effect)

  • 박규칠;박지현;서철원;최재용;이필호;윤종락
    • 한국소음진동공학회논문집
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    • 제23권6호
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    • pp.563-573
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    • 2013
  • The ship radiated noise level fluctuates by the interference between direct and reflected paths. The effect of sea surface reflection path on interference depends strongly on sea surface roughness. This paper describes error characteristics of ship acoustic signature estimation by sea surface scattering effect. The coherent reflection coefficient which explains a magnitude of sea surface scattering and its resultant interference acoustic field is analyzed quantitatively as a function of a grazing angle, effective surface height, frequency, source-receiver range and depths of source and receiver. Theoretical interference acoustic field is compared with experimental result for two different sea surfaces and five different frequencies by changing source-receiver range. It is found that both matches well each other and a magnitude of interference acoustic field is decreasing by increasing a grazing angle, effective surface height, frequency, and depths of source and receiver and decreasing source-receiver range. For given experimental conditions, the transmission anomaly which is a bias error of ship acoustic signature estimation, is about a range of 1~3 dB. The bias error of an existing ship radiated noise measurement system is also analyzed considering wind speed, source depth and frequency.