• 제목/요약/키워드: average error

검색결과 2,635건 처리시간 0.025초

원영상의 기울기 성형을 이용한 경계강조 오차확산법 (Edge Enhanced Error Diffusion based on Gradient Shaping of Original image)

  • 강태하;황병원
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(4)
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    • pp.70-73
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    • 2000
  • The error diffusion is good for reproducing continuous image to binary image. However the reproduction of edge characteristics is weak in power spectrum analysis of display error. It is suggested for us an edge-enhanced error-diffusion method that is included pre-processing algorithm for edge characteristic enhancement. Pre-processing algorithm is organized horizontal and vertical directional 2nd order differential values and weighting function of pre-filter. The improved Error diffusion using pre-filter, presents a good results visually which edge characteristics is enhanced. The performance of the proposed algorithm is compared with that of the conventional edge-enhanced error diffusion by measuring the RAPSD of display error, the egde correlation and the local average accordance.

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PDP에서 가중치 오차확산 보정 (Weighted error diffusion in PDP)

  • 정한영;이동호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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    • pp.179-181
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    • 2005
  • There is asymmetric in horizontal and vertical side of PDP cell. Every vertical line has BM(Black Mask) to improve luminance contrast. When error diffusion is processed in PDP system, these problems make an error bigger. In 4 inch PDP system, every red, green, blue color of test pattern is presented and each luminance is measured. That is called horizontal(H), diagonal right(R), diagonal left(L) and vertical(V). In red channel, high luminance descending order is V-H-R-L. In green channel, V-H-L-R. In blue channel, V-M-R=L. After average luminance of each direction is calculated. new weighted error diffusion(Weighted ED) is proposed. In digital image signal processing, the error in weighted ED is differ from ED's. The image of weighted ED is more less error compare to conventional ED and close to original image. As the gray level linearity and big size panel is adopted, weighted ED could produce good image.

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원영상의 기울기 성형을 이용한 경계강조 오차확산법 (Edge Enhanced Error Diffusion based on Gradient Shaping of Original Image)

  • 강태하
    • 한국통신학회논문지
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    • 제25권10B호
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    • pp.1832-1840
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    • 2000
  • The error diffusion algorithm is good for reproducing continuous images to binary images. However the reproduction of edge characteristics is weak in power spectrum an analysis of display error. In this paper an edge enhanced error diffusion method is proposed to improve the edge characteristic enhancement. Spatial gradient information in original image is adapted for edge enhance in threshold modulation of error diffusion. First the horizontal and vertical second order differential values are obtained from the gradient of peripheral pixels(3x3) in original image. second weighting function is composed by function including absolute value and sign of second order differential values. The proposed method presents a good visual results which edge characteristics is enhanced. The performance of the proposed method is compared with that of the conventional edge enhanced error diffusion by measuring the edge correlation and the local average accordance over a range of viewing distances and the RAPSD of display error.

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에러 보정 코드를 이용한 비동기용 대용량 메모리 모듈의 성능 향상 (Performance Improvement of Asynchronous Mass Memory Module Using Error Correction Code)

  • 안재현;양오;연준상
    • 반도체디스플레이기술학회지
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    • 제19권3호
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    • pp.112-117
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    • 2020
  • NAND flash memory is a non-volatile memory that retains stored data even without power supply. Internal memory used as a data storage device and solid-state drive (SSD) is used in portable devices such as smartphones and digital cameras. However, NAND flash memory carries the risk of electric shock, which can cause errors during read/write operations, so use error correction codes to ensure reliability. It efficiently recovers bad block information, which is a defect in NAND flash memory. BBT (Bad Block Table) is configured to manage data to increase stability, and as a result of experimenting with the error correction code algorithm, the bit error rate per page unit of 4Mbytes memory was on average 0ppm, and 100ppm without error correction code. Through the error correction code algorithm, data stability and reliability can be improved.

직장암 방사선치료기법별 자세오차에 관한 분석 (Analysis of setup error at rectal cancer radiotherapy technique)

  • 김정호;배석환;김기진;유세종;김지윤
    • 한국산학기술학회논문지
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    • 제14권12호
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    • pp.6346-6352
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    • 2013
  • 직장암의 방사선치료는 정지된 영상을 이용하였다. 하지만 방사선치료 시 환자의 움직임이 발생된다. 이에 직장암 환자 14명을 대상으로 치료시간과 체형에 따른 기법별 자세오차를 비교하고자 하였다. 또한 평균오차에 대한 기법별 선량학적 변화량을 비교하였다. 비교를 통해 치료기법 선택의 기준을 마련하고자 하였다. 측정결과 3DCRT와 VMAT은 치료시간 및 자세오차가 비슷하였다. 이에 비해 IMRT는 치료시간이 약 2배, 자세오차는 약 4배 증가하였다. 체형에서는 비만형일수록 모든 치료기법에서 자세오차가 증가하였다. 선량평가에서는 소장측면에서는 동일한 오차에 대해 IMRT와 VMAT이 3DCRT에 비해 큰 폭의 선량증가를 보였다. 따라서 비만형인 직장암 환자의 경우 치료시간이 짧은 3DCRT를 적용하여야 한다. 소장의 피폭이 많을 경우에는 IMRT보다는 VMAT을 선택하여야 한다.

H.264/AVC를 위한 선택적 시간축 에러 은닉 방법 (Selective temporal error concealment method for H.264/AVC)

  • 정봉수;최웅일;전병우;김명돈;최송인
    • 대한전자공학회논문지SP
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    • 제42권2호
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    • pp.87-100
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    • 2005
  • 본 논문은 H.264/AVC 비디오 비트스트림의 전송 에러 복원에 알맞는 선택적 시간축 에러 은닉 알고리즘을 제안한다. 제안 알고리즘은 손실 매크로블록이 전경인지 배경인지 판단한 결과에 따른 해당 에러 은닉방법을 수행한다. 손실 블록이 배경으로 판단된 경우에는 단순 대체 기법으로 은닉하며, 손실 블록이 전경으로 선택되었을 경우에는 다중 참조영상에서 추정된 블록들의 유사성을 판단하여 추정블록들을 선택적으로 평균하여 은닉을 한다. 제안된 알고리즘은 CDMA2000 (UMTS)망의 무선(air) 인터페이스에서 발생하는 에러 모의실험을 통하여 H.264/AVC의 FMO 부호화에서 H.264/AVC의 테스트 모델상의 에러 은닉 알고리즘보다 평균 1.18dB 성능 향상이 있으며, N-Slice 부호화에서는 평균 0.33dB의 성능 향상을 나타내었다 또한 주관적 화질면에서도 제안된 방법이 다른 에러 은닉 알고리즘보다 우수함을 보인다.

저전력 LiDAR 시스템을 위한 Adaptive Convolution Filter에 기반한 3D 공간 구성 (Adaptive Convolution Filter-Based 3D Plane Reconstruction for Low-Power LiDAR Sensor Systems)

  • 정태원;박대진
    • 한국정보통신학회논문지
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    • 제25권10호
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    • pp.1416-1426
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    • 2021
  • Scanning 타입 다채널 LiDAR 센서의 경우 수신되는 신호의 세기의 차이에 의한 walk error라는 거리 오차가 발생할 수 있다. 이러한 오차는 다수의 LiDAR 센서를 기반으로 주변 환경을 스캐닝할 경우 같은 물체에 대해 서로 다른 거리 값을 출력하게 한다. 다수의 LiDAR 센서를 이용하여 전방향 스캐닝할 경우, 센서의 시야각이 겹치는 구간에서 발생하는 walk error를 최소화하기 위해 외부 시스템 상에서 센서의 각 채널에 대한 convolution을 수행하고 오차를 최소화하고자 한다. 약 6×6 m 환경의 중앙에 4개의 LiDAR 센서들을 배치하고 주변 환경을 스캐닝 하였으며, 필터링을 적용한 결과, 거리 오차를 평균 0.5125m에서 0.16m까지 약 68% 개선할 수 있었으며, 표준 편차는 평균 0.0591에서 0.030675까지 약 48% 개선할 수 있었다.

우량계 설치조건에 따른 관측치 신뢰성 평가 연구 (A Study on Confidence Evaluation of the Observed Data According to the Rain Gauges Installation Conditions)

  • 박지창;김남;강명주;류경식
    • 한국환경과학회지
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    • 제18권10호
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    • pp.1115-1121
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    • 2009
  • The purpose of this study is to estimate the impact of rainfall measurement according to the installation conditions of rain gauges: windbreak, grass mat, installation elevation or obstacle. Rain gauges were installed by the standards of Korea Meteorological Administration(KMA), and the rainfall measurement was conducted daily unit during two years(2007~2008). In conclusion, observed error of rain gauge did not affect whether windbreak was installed or not. If there is the obstacle around rain gauge, average error rate was increased about 3.3%: (2007year-2.49%, 2008year-4.10%). If rain gauge is located in a high place, average error rate was increased about 4.89%. Additionally, the observed error of rain gauge according to the wind speed has a positive correlation with obstacle and installation elevation and has a negative correlation with windbreak and has no affection with grass mat.

시계열모형을 이용한 굴 생산량 예측 가능성에 관한 연구 (A Study on Forecast of Oyster Production using Time Series Models)

  • 남종오;노승국
    • Ocean and Polar Research
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    • 제34권2호
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    • pp.185-195
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    • 2012
  • This paper focused on forecasting a short-term production of oysters, which have been farmed in Korea, with distinct periodicity of production by year, and different production level by month. To forecast a short-term oyster production, this paper uses monthly data (260 observations) from January 1990 to August 2011, and also adopts several econometrics methods, such as Multiple Regression Analysis Model (MRAM), Seasonal Autoregressive Integrated Moving Average (SARIMA) Model, and Vector Error Correction Model (VECM). As a result, first, the amount of short-term oyster production forecasted by the multiple regression analysis model was 1,337 ton with prediction error of 246 ton. Secondly, the amount of oyster production of the SARIMA I and II models was forecasted as 12,423 ton and 12,442 ton with prediction error of 11,404 ton and 11,423 ton, respectively. Thirdly, the amount of oyster production based on the VECM was estimated as 10,425 ton with prediction errors of 9,406 ton. In conclusion, based on Theil inequality coefficient criterion, short-term prediction of oyster by the VECM exhibited a better fit than ones by the SARIMA I and II models and Multiple Regression Analysis Model.

Priority-based Unequal Error Protection Scheme of Data partitioned H.264 video with Hierarchical QAM

  • Chen, Rui;Wu, Minghu;Yang, Jie;Rui, Xiongli
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권11호
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    • pp.4189-4202
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    • 2014
  • In this paper, we propose a priority-based unequal error protection scheme of data partitioned H.264/AVC video with hierarchical quadrature amplitude modulation. In order to map data with higher priority onto the most significant bits of QAM constellation points, a priority sorting method categorizes different data partitions according to the unequal importance factor of encoded video data in one group of pictures by evaluated the average distortion. Then we propose a hierarchical quadrature amplitude modulation arrangement with adaptive constellation distances, which takes into account the unequal importance of encoded video data and the channel status. Simulation results show that the proposed scheme improves the received video quality by about 2 dB in PSNR comparing with the state-of-the-art unequal error protection scheme, and outperforms EEP scheme by up to 5 dB when the average channel SNR is low.