• Title/Summary/Keyword: Adaptive Edge

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Improverd Edge-Adaptive Color Interpolation Scheme for Progressive Scan CCD Image Sensor (순차주사 CCD 이미지 센서를 위한 개선된 경계적응적 칼라 보간 구조)

  • 홍훈섭;허봉수;강문기
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2000.11b
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    • pp.81-86
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    • 2000
  • 본 논문에서는 순차주사 CCD 이미지 센서를 위한 개선된 경계적응적 칼라 보간 구조를 제안했다. 제안된 경계 표시자(edge indicator) 함수는 채널내 상관관계뿐만 아니라 채널간의 상관관계를 이용하며 국소적으로 나타난 왜곡된 칼라는 칼라 경계 검출법에 기반한 스위칭 알고리즘에 의해 제거됐다. 개선된 경계적응적 칼라 보간 구조는 기존의 접근 방법에 비해 주관적 화질과 객관적 화질 모두 우수한 결과를 실험적으로 보였다.

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Edge offset category classification method for improving the performance of SAO in HEVC (HEVC에서 SAO의 성능개선을 위한 edge offset category 분류 방법)

  • Jeong, Yeon-Kyeong;Han, Jong-Ki
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.06a
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    • pp.354-356
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    • 2013
  • ITU와 ISO/IEC가 공동으로 UHD급 영상 부호화를 위해 표준화를 진행하고 있는 HEVC 코덱은 H.264/AVC 대비 2배 이상의 압축 효율을 갖는 것을 목표로 정하고 있다. HEVC(High Efficiency Video Coding)는 In-Loop Filter 기술로 H.264/AVC에서 사용하고 있는 Deblocking Filter와 새롭게 추가 된 SAO(Sample Adaptive Offset)를 사용하고 있다. 본 논문에서는 HEVC의 In-Loop Filter 기술 중 하나인 SAO의 기술의 EO에서 Category를 조금 더 정확하게 판단하여 분류하는 방법을 제안을 한다.

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Edge Detection of Variable Image by Adaptive Threshold (자동 임계치에 의한 다양한 영상의 에지 추출)

  • Baek, Soon-Hwa
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11a
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    • pp.739-742
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    • 2002
  • 본 논문에서는 에지 추출을 위하여 다양한 영상에 탄력적으로 적용되는 자동 임계치에 의한 에지 추출 방법을 제안한다. 자동 임계치는 Prewitt 연산자를 이용하여 얻어진 영상을 사용하여 구한다. 에지 추출(Edge Detection)은 영상처리에 있어 데이터의 양을 크게 줄일 수 있는 장점과 함께 각종 영상처리의 전처리로 이용되어지고 있는데 정확한 에지 추출은 영상을 이해하고 분석하는데 있어서 대단히 중요한 요소로 영상처리의 다양한 분야와 결합하여 이용되어 지고 있다. 본 논문에서 제안한 자동 임계치 알고리즘에 의한 에지 추출은 영상의 세세한 부분의 에지를 탐색하는데 효과적임을 알 수가 있었다.

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An Aggregate Three Color Marker without Per Flow Management for End-to-End QoS Improvement of Assured Service in DiffServ (DiffServ 방식에서 플로별 관리 없이 Assured Service의 End-to-End QoS를 향상하기위한 Aggregate Three Color Marker)

  • Hur, Kyeong;Park, Ji-Hoon;Roh, Young-Sup;Eom, Doo-Seop;Tchah, Kyun-Hyon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.6B
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    • pp.588-603
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    • 2003
  • In this paper, we propose an Aggregate Three Color Marker without per flow management which is required for an Edge router to improve End-to-End QoS of Assured Service in DiffServ. Proposed Aggregate Three Color Marker is used with the Adaptive RIO-DC scheme to achieve the minimum rate guarantee without per flow management. Assuming that the admission control for Assured Service has been performed, proposed Aggregate Three Color Marker measures incoming In-profile traffic rate at the output link of an edge router using a token-bucket with a token rate equal to the sum of contracted rates of admitted flows passing the edge router. If there are token losses from the token bucket, out-of-profile packets are promoted to Yellow packets within the aggregate traffic profile. And yellow packets are demoted to out-of-profile packets at the input link to an Edge router fer the purpose of fairness maintenance. In-profile packets and Yellow packets are processed identically at the RIO-DC buffer management scheme in our proposed method. Simulation results show that through using proposed Aggregate Three Color Marker with the Adaptive RIO-DC scheme, the minimum rate guarantee for Assured Service can be achieved without per flow management at multiple DiffServ domains.

Locally Adaptive Bi-level Image Segmentation Technique (국부 적응 2 진 화상 영역화 기법)

  • Jung, Gyoo-Sung;Park, Rae-Hong
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1367-1370
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    • 1987
  • This paper describes a new automatic bi-level image segmentation algorithm which determines local thresholds by applying a locally adaptive edge detection technique to a variable threshold selection method. Computer simulations show that the performance of the proposed algorithm is more robust than those of automatic global thresholding methods.

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Postprocessing Method for Quantization Noise Reduction Using Block Classification and Adaptive Filtering (블록 분류와 적응적 필터링을 이용한 후처리에서의 양자화 잡음 제거 기법)

  • 이석환;권성근;이종원;이승진;이건일
    • Proceedings of the IEEK Conference
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    • 2000.06d
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    • pp.66-69
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    • 2000
  • In this paper, we proposed a postprocessing algorithm for quantization effects reduction in block coded images using the block classification and adaptive filtering. The proposed method consists of classification, adaptive inter-block filtering, and intra-block filtering. First, each block is classified into one of seven classes based on the characteristics of 8${\times}$8 DCT coefficients. Then each block boundary is filtered by adaptive inter-block filters according to the block classification. Finally for blocks which are classified into edge block, intra-block filtering is peformed. Experimental results show that the proposed method gives better results than the conventional methods from both a subjective and an objective viewpoint.

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Robust Adaptive Output Feedback Control Design for a Multi-Input Multi-Output Aeroelastic System

  • Wang, Z.;Behal, A.;Marzocca, P.
    • International Journal of Aeronautical and Space Sciences
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    • v.12 no.2
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    • pp.179-189
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    • 2011
  • In this paper, robust adaptive control design problem is addressed for a class of parametrically uncertain aeroelastic systems. A full-state robust adaptive controller was designed to suppress aeroelastic vibrations of a nonlinear wing section. The design used leading and trailing edge control actuations. The full state feedback (FSFB) control yielded a global uniformly ultimately bounded result for two-axis vibration suppression. The pitching and plunging displacements were measurable; however, the pitching and plunging rates were not measurable. Thus, a high gain observer was used to modify the FSFB control design to become an output feedback (OFB) design while the stability analysis for the OFB control law was presented. Simulation results demonstrate the efficacy of the multi-input multi-output control toward suppressing aeroelastic vibrations and limit cycle oscillations occurring in pre- and post-flutter velocity regimes.

ADAPTIVE INTERPOLATION CONSIDERING WITH SUBJECTIVE PICTURE QUALITY

  • Yamamoto, Yuya;Sagara, Naoya;Sugiyama, Kenji
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.623-627
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    • 2009
  • Recently, we have many kinds of picture format and display, and resizing (scaling) of picture becomes important. In this processing, quality of picture depends on re-sizing method. For this, some methods to improve the PSNR have been proposed. However, subjective picture quality is more important. Especially, degradation caused by re-sizing, such as jaggy (aliasing) and ringing, should be reduced. To solve them, we have proposed the method using directional adaptive interpolation. To improve the performance of this method, we consider the shape analysis this time. In the proposed method, directional adaptive processing is applied for pure edge only. In the texture area and flat area, 8 tap re-sampling filter is used. As the results of processing, the reductions of jaggy and incorrect interpolated pixels are recognized. The subjective picture quality of proposed method is significantly better than 8-tap re-sampling which gives good PSNR.

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Adaptive Filtering Processing for Target Signature Enhancement in Monostatic Borehole Radar Data

  • Hyun, Seung-Yeup;Kim, Se-Yun
    • Journal of electromagnetic engineering and science
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    • v.14 no.2
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    • pp.79-81
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    • 2014
  • In B-scan data measured by a pulse-type monostatic borehole radar, target signatures are seriously obscured by two clutters that differ in orientation and intensity. The primary clutter appears as a nearly constant time delay, which is caused by internal ringing between antenna and transceiver in the radar system. The secondary clutter occurs as an oblique time delay due to the guided borehole wave along the logging cable of the radar antenna. This issue led us to perform adaptive filtering processing for orientation-based clutter removal. This letter describes adaptive filtering processing consisting of a combination of edge detection, data rotation, and eigenimage filtering. We show that the hyperbolic signatures of a dormant air-filled tunnel target can be more distinctly enhanced by applying the proposed approach to the B-scan data, which are measured in a well-suited test site for underground tunnel detection.

Hybrid Super Resolution Based on Curve Subdivision Interpolation and Neighbor Embedding (곡선 부-분할 보간과 Neighbor Embedding 기반의 복합 초고해상도 기법)

  • Oh, Euiyeol;Lee, Yonggun;Lee, Jieun;Choe, Yoonsik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.9
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    • pp.1369-1373
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    • 2015
  • Curve subdivision interpolation reconstructs edge well with low complexity, however it lacks of ability to recover texture components, instead. While, neighbor embedding is superior in texture reconstruction. Therefore, in this paper, a novel Super Resolution technique which combines curve subdivision interpolation and neighbor embedding is proposed. First, edge region and non-edge regions are classified. Then, for edge region, the curve subdivision algorithm is used to make two polynomials derived from discrete pixels and adaptive weights are adapted for gradients of 4 different sides to make smooth edge. For non edge region, neighbor-embedding method is used to conserve texture property in original image. Consequently results show that the proposed technique conserves sharp edges and details in texture better, simultaneously.