• Title/Summary/Keyword: 블록 적응

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Adaptive Block Matching Algorithm Using Multi Block (다중 블록을 이용한 적응적 블록 정합 알고리즘)

  • Cho, Yunsub;Han, Yunsang;Lee, Sangkeun
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.11a
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    • pp.6-7
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    • 2013
  • 본 논문은 기존의 고정블록 알고리즘에서 발생할 수 있는 객체 추적의 문제점을 보안한 다중 블록을 이용한 적응적 블록 정합 알고리즘을 제안한다. 기존의 고정블록을 이용한 정합 알고리즘은 추적 대상 객체의 크기와 블록의 크기가 추적 성능에 미치는 영향이 크기 때문에 객체 추적에 실패하는 경우가 발생한다. 본 논문에서는 고정된 블록 정합 알고리즘의 문제점을 해결하기 위해 다중 블록을 이용하여 객체 내의 포함된 블록들을 효과적으로 선택하고 선택된 블록들의 특성으로부터 효과적인 가중치를 부여하여 추적 성능을 향상시킨다. 제안된 알고리즘은 블록 정합 알고리즘 중 가장 정확도가 높다고 알려진 전역 탐색 방법을 이용하여 정확도를 평가 하였다.

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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 방법)

  • Lee, Seung-Jin;Lee, Seok-Hwan;Gwon, Seong-Geun;Lee, Jong-Won;Lee, Geon-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.4
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    • pp.442-452
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    • 2001
  • 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 fitters according to the block classification. finally for blocks which are classified into edge block, intra-block filtering is performed. 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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Link Adaptation Method of the Block Coded Modulation for UWB-IR (무선광대역통신을 위한 블록부호화방식의 링크 적응 기법)

  • Min, Seungwook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.7
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    • pp.24-35
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    • 2018
  • In wireless communications environments, a link adaptation technique that selects the proper rate from among several transmission rates is adopted to cope with variations in channel status. In block coded modulation, the frame time and/or the block length can be adjusted to the channel status. A smaller frame time can cause inter-frame interference (IFI), however, a larger frame time can reduce the data rate. Therefore, frame time is the design factor decided by a tradeoff between performance and the data rate. This paper presents a method to determine the frame time based on the processing gain for the channel model, CM1~CM4, recommended by IEEE 802.15a. Also, a link adaptation technique for block coded modulation is proposed for efficient communications by varying the frame time and the block length. Through simulation, link adaptation can be carried out with a step size of 2~5 nsec in a frame time range of 14~ 50 nsec for channel models CM1~CM4.

Adaptive Postprocessing Technique for Compressed Images using Directional Activity-based Block Analysis (방향성 활동도 기반 블록 분석을 통한 압축 영상의 적응적 후처리 기법)

  • Kim, Jongho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.7
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    • pp.1687-1693
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    • 2013
  • This paper addresses an adaptive postprocessing technique to remove blocking effects of the highly compressed images. The proposed technique removes blocking effects selectively by applying filters with different strength according to block analysis based on the directional activity. One-dimensional filters which are used to remove grid noises accomplish the adaptive filtering to the signal itself as well as to the directionality of the block. Moreover, we propose a detection method of the staircase noises and corner outliers and a two-dimensional directional filter to remove them. Experimental results for various images and bitrates show that the proposed method outperforms the conventional methods in PSNR for the objective performance and GBIM for the subjective quality evaluation.

Fast Variable-size Block Matching Algorithm for Motion Estimation Based on Bit-pattern (비트패턴을 기반으로 한 고속의 적응적 가변 블록 움직임 예측 알고리즘)

  • 신동식;안재형
    • Journal of Korea Multimedia Society
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    • v.3 no.4
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    • pp.372-379
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    • 2000
  • In this paper, we propose a fast variable-size block matching algorithm for motion estimation based on bit-pattern. Motion estimation in the proposed algorithm is performed after the representation of image sequence is transformed 8bit pixel values into 1bit ones depending on the mean value of search block, which brings a short searching time by reducing the computational complexity. Moreover, adaptive searching methods according to the motion information of the block make the procedure of motion estimation efficient by eliminating an unnecessary searching of low motion block and deepening a searching procedure in high motion block. Experimental results show that the proposed algorithm provides better performance-0.5dB PSNR improvement-than full search block matching algorithm with a fixed block size.

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Frame Rate up-conversion Algorithm using Adaptive Overlapped Block Motion Compensation (적응적 중첩 블록 움직임 보상을 이용한 프레임 율 향상 알고리즘)

  • Lee, Kangjun
    • Journal of Broadcast Engineering
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    • v.24 no.5
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    • pp.785-790
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    • 2019
  • In this paper, a new bilateral frame rate up-conversion algorithm using adaptive overlapped block motion compensation is proposed. In this algorithm, the adaptive overlapped block motion compensation is based on the motion complexity of the reference region. As the motion complexity is determined by the size of the previously coded motion estimation prediction, the overlapped block motion compensation method is selected without any additional computational complexity. Experimental results show that the proposed algorithm provides better image quality than conventional methods both objectively and subjectively.

Blocking-Artifact Reduction using Projection onto Adaptive Quantization Constraint Set (적응 양자화 제한 집합으로의 투영을 이용한 블록 현상 제거)

  • 정연식;김인겸
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.40 no.1
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    • pp.79-86
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    • 2003
  • A new quantization constraint set based on the theory of Projection onto Convex Set(POCS) is proposed to reduce blocking artifact appearing in block-coded images. POCS-based postprocessing for alleviating the blocking artifact consists of iterative projections onto smoothness constraint set and quantization constraint set, respectively. In general, the conventional quantization constraint set has the maximum size of range where original image data can be included, therefore over-blurring of restored image is unavoidable as iteration proceeds. The projection onto the proposed quantization constraint set can reduce blocking artifact as well as maintain the clearness of the decoded image, since it controls adaptively the size of quantization constraint set according to the DCT coefficients. Simulation results using the proposed quantization constraint set as a substitute for conventional quantization constraint set show that the blocking artifact of the decoded image can be reduced by the small number of iterations, and we know that the postprocessed image maintains the distinction of the decoded image.

Modified Adaptive Motion Vector Resolution (수정된 적응적 움직임 벡터 해상도 부호화 방법)

  • Jang, Myoung-Hun;Han, Jong-Ki;Bae, Jinsoo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.11a
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    • pp.46-48
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    • 2011
  • 기존의 참조 소프트웨어인 MPEG-2, MPEG-4, H.264/AVC에서는 움직임 벡터를 찾을 때 항상 고정된 해상도를 사용하였으며 다른 참조 소프트웨어인 KTA에서는 움직임 벡터를 찾을 때 움직임벡터의 해상도를 슬라이스 단위로 성능이 가장 높은 해상도를 선택해서 사용하였다. 하지만 움직임 벡터의 해상도는 블록마다 서로 다르기 때문에 블록별로 서로 다른 해상도를 적응적으로 사용할 필요가 있다. 적응적인 움직임 벡터 해상도 부호화 방법은 이러한 점을 이용하여 블록 별로 현재 블록의 움직임 벡터가 1/4 해상도인지 1/8 해상도인지에 판단하고 그에 대한 정보를 복호기에 전송해준다. 제안하는 알고리즘은 적응적 움직임 벡터 해상도를 사용하여 부호화 할 때 1/8 해상도 움직임 벡터가 성능이 없다고 판단되는 곳에선 적응적 움직임 벡터 해상도 방식을 사용하지 않고 1/4 해상도로만 움직임 벡터를 찾는다. 이러한 경우 해상도 정보를 복호기에 전송하지 않아 부호화 효율을 높일 수 있고 또한 1/8 해상도에 대한 움직임 예측을 하지 않기 때문에 부호화기 복잡도를 낮출 수 있다. 실험결과 평균 0.2%의 성능을 얻을 수 있었으며 부호화기 복잡도는 4% 감소하였다.

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Single Image Super Resolution using Multi Grouped Block with Adaptive Weighted Residual Blocks (적응형 가중치 잔차 블록을 적용한 다중 블록 구조 기반의 단일 영상 초해상도 기법)

  • Hyun Ho Han
    • Journal of Digital Policy
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    • v.3 no.3
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    • pp.9-14
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    • 2024
  • In this paper, proposes a method using a multi block structure composed of residual blocks with adaptive weights to improve the quality of results in single image super resolution. In the process of generating super resolution images using deep learning, the most critical factor for enhancing quality is feature extraction and application. While extracting various features is essential for restoring fine details that have been lost due to low resolution, issues such as increased network depth and complexity pose challenges in practical implementation. Therefore, the feature extraction process was structured efficiently, and the application process was improved to enhance quality. To achieve this, a multi block structure was designed after the initial feature extraction, with nested residual blocks inside each block, where adaptive weights were applied. Additionally, for final high resolution reconstruction, a multi kernel image reconstruction process was employed, further improving the quality of the results. The performance of the proposed method was evaluated by calculating PSNR and SSIM values compared to the original image, and its superiority was demonstrated through comparisons with existing algorithms.

Adaptive Error Concealment Technique using a Variable Operating Region Algorithm based on MPEG-4 Coding (연산 영역 가변 알고리즘을 적용한 MPEG-4 부호화 기반의 적응적 오류 은닉 기법)

  • 김병주;권기구;이석환;권성근;김봉석;이건일
    • Journal of Korea Multimedia Society
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    • v.6 no.1
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    • pp.78-88
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    • 2003
  • A novel adaptive error concealment technique is proposed using a variable operating region algorithm based on MPEG-4 coding. In the algorithm, a missing block is classified as flat or edge block based on local information from the surrounding blocks extracted using a Sobel operation in a variable operating region (VOR). In this case, the VOR is determined adaptively according to the number of edge directions in the missing block. 1;sing the classification, the flat blocks are then concealed by the Proposed mean based weighted bilinear interpolation (MWBLI) method, and the edge blocks by the boundary directional interpolation (BDI) method. Consequently, the use of the Proposed VOR improves the subjective performance in a curved edge region, while the adaptive processing based on block classification improves the objective performance. Experimental results confirmed that the proposed algorithm produced better results than conventional algorithms, both subjectively and objectively.

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