• Title/Summary/Keyword: H.263 Annex 1

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Improved Intraframe Coding Method based on H.263 Annex I (H.263 Annex I 기반 화면내 부호화 기법의 성능개선)

  • 유국열
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2001.06a
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    • pp.213-216
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    • 2001
  • The H.263 Annex I method for the intraframe coding is based on the prediction in DCT domain, unlike JPEG, MPEG-1, and MPEG-2 where the intraframe coding uses block DCT, independent of the neighboring blocks. In this paper, we show the ineffectiveness of H.263 Annex I prediction method by mathematically deriving the spatial domain meaning of H.263 Annex I prediction method. Based on the derivation, we propose a prediction method which is based on the spatial correlation property of image signals. From the experiment and derivation, we verified the proposed method.

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Improved DCT Coefficient Prediction Method for H.263-based Intraframe Coding (DCT 계수 예측을 이용한 H.263기반 화면내 부호화 성능 개선)

  • 유국열
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.8B
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    • pp.1168-1175
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    • 2001
  • H.263부호기에서 정지영상 부호화를 위한 부가 부호기법인 Annex I는 기존의 JPEG, MPEG-1, -2와는 달리 부호화하고자 하는 현재 블록의 DCT 계수를 기부호화된 블록의 DCT 계수들을 이용하여 예측부호화 (Differential Pulse Coded Modulation; DPCM)를 행하고, 이를 통한 부호화 이득의 향상을 얻고 있다. 본 논문에서는 이런 H.263 Annex I의 예측기법을 공간영역에서의 의미를 수학적으로 유도한다. 이를 통해서 H.263 Annex I의 예측기법의 비효율성을 지적하고, 영상신호의 특성에 맞게 예측방식을 수정한다. 제안된 DCT 계수 예측 방식과 기존의 H.263 Annex I 방식의 이론적인 예측성능을 평가하고, H.263 부호기에 적용하여 제안방식의 효율성을 검증한다.

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Applications of Regularized Dequantizers for Compressed Images (압축된 영상에서 정규화 된 역양자화기의 응용)

  • Lee, Gun-Ho;Sung, Ju-Seung;Song, Moon-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.39 no.5
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    • pp.11-20
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    • 2002
  • Based on regularization principles, we propose a new dequantization scheme on DCT-based transform coding for reducing of blocking artifacts and minimizing the quantization error. The conventional image dequantization is simply to multiply the received quantized DCT coefficients by the quantization matrix. Therefore, for each DCT coefficients, we premise that the quantization noise is as large as half quantizer step size (in DCT domain). Our approach is based on basic constraint that quantization error is bounded to ${\pm}$(quantizer spacing/2) and at least there are not high frequency components corresponding to discontinuities across block boundaries of the images. Through regularization, our proposed dequantization scheme, sharply reduces blocking artifacts in decoded images. Our proposed algorithm guarantees that the dequantization process will map the quantized DCT coefficients will be evaluated against the standard JPEG, MPEG-1 and H.263 (with Annex J deblocking filter) decoding process. The experimental results will show visual improvements as well as numerical improvements in terms of the peak-signal-to-noise ratio (PSNR) and the blockiness measure (BM) to be defined.