• 제목/요약/키워드: Quadtree Structure

검색결과 55건 처리시간 0.023초

다중스펙트럼 위성영상 압축을 위한 복합부호화 기법 (Hybrid Coding for Multi-spectral Satellite Image Compression)

  • 정경훈
    • 한국지리정보학회지
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    • 제3권1호
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    • pp.1-11
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    • 2000
  • 본 논문에서는 인공위성으로부터 얻어진 다중스펙트럼영상의 부호화 방법을 다룬다. 위성영상의 공간 및 스펙트럼 해상도가 급속도로 향상되면서 처리해야 할 다중스펙트럼 영상의 데이터량은 엄청나게 증가하였다. 이에 따라 위성영상을 활용하기 위해서는 효율적으로 부호화하는 기술이 필요하다. 본 논문에서는 벡터양자화에 근거한 예측부호화, 영상의 quadtree 분할, 그리고 예측오차의 압축을 위한 DCT를 복합적으로 적용한 부호화 기법을 제시한다. 벡터양자화를 통해 대역영상간의 공간적인 특징이 동일하다는 점을 이용한 예측을 하고, 영상분할을 통해 영상의 공간적인 정보량에 따라 적응적으로 비트를 할당하며, DCT를 통해 예측오차의 공간적응적인 부호화를 수행한다. Landsat TM 영상을 대상으로 수행한 실험을 통해 제안 알고리듬의 위성영상 압축기법으로서의 타당성을 보였다.

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HEVC 인트라 부호화를 위한 특징점 기반의 고속 CU Depth 결정 (Keypoint-based Fast CU Depth Decision for HEVC Intra Coding)

  • 김남욱;임성창;고현석;전병우
    • 전자공학회논문지
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    • 제53권2호
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    • pp.89-96
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    • 2016
  • MPEG-H HEVC/ITU-T H.265는 quadtree 구조의 CU (Coding Unit)를 갖는 최신의 비디오 부호화 표준 기술이다. HEVC 부호화기는 모든 가능한 CU 구조에 대해서 Rate-distortion 최적화 과정을 통하여 최적 부호화 성능의 CU depth를 구할 수 있지만, 그 과정에 매우 많은 계산량을 필요로 한다. 본 연구에서는 컴퓨터 비젼 분야에서 잘 알려진 blob detection을 통하여 특징점을 찾는 과정이 저역 필터를 거치는 것과 같은 효과를 가진다는 것과 CU depth의 결정에는 영상의 고주파수 에너지 분포를 고려하는 것이 중요하다는 사실에 착안하여, blob detection 방법을 사용하여 추출된 특징점을 사용하여 HEVC 부호화기의 인트라 예측의 계산 복잡도를 낮추고자 한다. 실험을 통하여 all intra의 경우 0.45%의 BDBR 저하만으로 20% 정도의 부호화 시간을 절감할 수 있음을 보인다.

Two-Step Rate Distortion Optimization Algorithm for High Efficiency Video Coding

  • Goswami, Kalyan;Lee, Dae Yeol;Kim, Jongho;Jeong, Seyoon;Kim, Hui Yong;Kim, Byung-Gyu
    • Journal of Multimedia Information System
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    • 제4권4호
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    • pp.311-316
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    • 2017
  • High Efficiency Video Coding (HEVC) is the newest video coding standard for improvement in video data compression. This new standard provides a significant improvement in picture quality, especially for high-resolution videos. A quadtree-based structure is created for the encoding and decoding processes and the rate-distortion (RD) cost is calculated for all possible dimensions of coding units in the quadtree. To get the best combination of the block an optimization process is performed in the encoder, called rate distortion optimization (RDO). In this work we are proposing a novel approach to enhance the overall RDO process of HEVC encoder. The proposed algorithm is performed in two steps. In the first step, like HEVC, it performs general rate distortion optimization. The second step is an extra checking where a SSIM based cost is evaluated. Moreover, a fast SSIM (FSSIM) calculation technique is also proposed in this paper.

소용량 컴퓨터에 의한 CT 영상의 계층적 표현 (Hierachical representation of CT images with small memory computer)

  • 유선국;김선호;김남현;김원기;박상희
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1989년도 춘계학술대회
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    • pp.39-43
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    • 1989
  • In this paper, hierachical representation method with a 1-to-4 and 1-to-8 data structure is used to reconstruct the three-dimensional scene from two-dimensional cross sections provided by computed tomography with small memory computer system. To reduce the internal memory use, 2-D section is represented by quadtree, and 3-D scene is represented by octree. Octree is constructed by recursively merging consecutive quadtrees. This method uses 7/200 less memory than pointer type structure with all the case, and less memory up to 60.3% than linear octree with experimental data.

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쿼드트리 분할영상의 국부이진화를 통한 팩아이스 집적도 측정 알고리즘 (An Algorithm for Measurement of Pack Ice Concentration Using Localized Binarization of Quadtree-Subdivided Image)

  • 이정훈;변석호;남종호;조성락
    • 대한조선학회논문집
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    • 제54권1호
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    • pp.49-56
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    • 2017
  • Recently, many research works on the icebreaking vessels have been published as the possibility of passing Arctic routes has been increasing. The model ship test on the pack ice model in the ice basin is actively carried out as a way to investigate the performance of icebreaking vessels. In this test, the concentration of pack ice is important since it directly affects the performance. However, it is difficult to measure the concentration because not only the pack ice has uneven shape but also it keeps floating around in the basin. In this paper, an algorithm to identify the concentration of pack ice is introduced. From a digital image of pack ice obtained in the ice basin, the goal is to measure the area of pack ice using an image processing technique. Instead of the general global binarization that yields numerical errors in this problem, a local binarization technique, coupled with image subdivision based on the quadtree structure, is developed. The concentration results obtained by the developed algorithm are compared with the manually measured data to prove its accuracy.

Fast Intraframe Coding for High Efficiency Video Coding

  • Huang, Han;Zhao, Yao;Lin, Chunyu;Bai, Huihui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권3호
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    • pp.1093-1104
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    • 2014
  • The High Efficiency Video Coding (HEVC) is a new video coding standard that can provide much better compression efficiency than its predecessor H.264/AVC. However, it is computationally more intensive due to the use of flexible quadtree coding unit structure and more choices of prediction modes. In this paper, a fast intraframe coding scheme is proposed for HEVC. Firstly, a fast bottom-up pruning algorithm is designed to skip the mode decision process or reduce the candidate modes at larger block size coding unit. Then, a low complexity rough mode decision process is adopted to choose a small candidate set, followed by early DC and Planar mode decision and mode filtering to further reduce the number of candidate modes. The proposed method is evaluated by the HEVC reference software HM8.2. Averaging over 5 classes of HEVC test sequences, 41.39% encoding time saving is achieved with only 0.77% bitrate increase.

시간 적응 3차원 subband 부호화 기법 (Temporal adaptive 3D subband image sequence coding technique)

  • 김용관;김인철;이상욱
    • 한국통신학회논문지
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    • 제21권5호
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    • pp.1096-1108
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    • 1996
  • In this paper, we propose a temporal adaptive tranform 3D SBC coder with motion compensation, exploiting redundancy in the temporal domain. We propose a temporal adaptivity measure, by which the R-D optimal temporal transform can be chaosen. The base temporal subband frame is coded using H.261-like MC-DCT coder, while the higher temporal subband frames are coded using the 2D adaptive wavelet packet bases, considering the various energy distribution which results from the temporal variation. In encoding the subbands, we employ adaptive scanning methods, uniform step-size quantization with VLC, and coded/not-coded flag reduction technique using the quadtree structure. From the simulation results, the proposed adaptive 3D subband coder shows about 0.29~3.14 dB gain over the H.261 and the fixed 3D subband coder techniques.

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영상공간에서의 계층구조를 사용한 스플래팅의 속도 향상기법 (A Speed Enhancement Technique for Splatting Using Hierarchical Data Structure)

  • 이래경;임인성
    • 한국컴퓨터그래픽스학회논문지
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    • 제4권2호
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    • pp.33-45
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    • 1998
  • 볼륨 가시화(volume visualization)는 3차원 볼륨 데이터로부터 의미 있는 가시적 정보를 추출하도록 도와주는 연구분야이다. 볼륨 렌더링(volume rendering)은 볼륨 데이터로부터 영상(image)을 얻는 기술을 말하는데, 이러한 렌더링 기법 중 물체공간(object space)에 기반한 스플래팅(splatting) 기법은 볼륨 데이터에 존재하는 응집성(coherence)의 이점을 이용할 수 있는 팔진트리(octree)나 피라미드(pyramid)와 같은 계층구조를 적용하기 쉽다. 본 논문에서는 볼륨 데이터에 팔진트리를 적용한 기존의 스플래팅 기법에 영상공간(image space)에서의 응집성의 이점을 이용하기 위한 계층구조로 4진트리(quadtree)와 범위트리(range tree)를 적용하는 새로운 스플래팅 기법을 제안한다. 이 기법은 볼륨 데이터내의 불투명한 복셀(voxel)들에 의해 가려지는 복셀들에 대한 방문을 가능한 한 피함으로써 전체적인 스플래팅의 속도를 향상시킨다. 이 기법은 잘 알려진 팔진트리, 4진트리 그리고 범위트리를 사용함으로써 그 구현이 쉽고, 추가적으로 많은 메모리를 사용하지 않으면서도 렌더링의 속도를 효율적으로 향상시킬 수 있는 기법이다.

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계층적 데이터 구조를 이용한 3차원 물체인식에 관한 연구 (A Study on 3-D Object Recognition using Hierarchical Data Structure)

  • 우광방;김영일
    • 대한전자공학회논문지
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    • 제27권6호
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    • pp.851-860
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    • 1990
  • This paper presents a recognition method which interprets 3-D object in terms of several silhouettes of quadtree and octree. Object representation used in object matching should be invariant with respect to locatin and orientation of the object. Generalized octree is projected on to image plane along the principal axes. Regular octree is made from orthogonal directions, but generalized octree is independent to viewing directions. Recognition process is achieved in two-stage matching. The quadtrees and octrees of unknown object with minimum dissimilarities are matched with the quadtrees and octrees of the models. So as to verify efficiency of 3-D object representation and accuracy of object recognition, experiments are performed for 14 different type of geometrical models and its results have been shown.

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패턴 정보량에 따른 신경망을 이용한 영상분류 (Image Classificatiion using neural network depending on pattern information quantity)

  • 이윤정;김도년;조동섭
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.959-961
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    • 1995
  • The objective of most image proccessing applications is to extract meaningful information from one or more pictures. It is accomplished efficiently using neural networks, which is used in image classification and image recognition. In neural networks, background and meaningful information are processed with same weight in input layer. In this paper, we propose the image classification method using neural networks, especially EBP(Error Back Propagation). Preprocessing is needed. In preprocessing, background is compressed and meaningful information is emphasized. We use the quadtree approach, which is a hierarchical data structure based on a regular decomposition of space.

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