• Title/Summary/Keyword: 양자화기

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Fast Codevector Search on Vector Quantization (백터양자화기의 신속코더백터 찾기)

  • 우홍체
    • Journal of Korea Society of Industrial Information Systems
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    • v.5 no.2
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    • pp.16-21
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    • 2000
  • Vector quantization(VQ) is widely used in many high-quality and high-rate data compression applications such as speech coding, audio coding, image coding and video coding. When the size of a VQ codebook is large, the computational complexity for the full codeword search method is a significant problem for many applications. A number of complexity reduction algorithms have been proposed and investigated using such properties of the codebook as the triangle inequality. This paper proposes a new fast VQ search algorithm that is based on a multi-stage structure for searching for the best codeword. Even using only two stages, a significant complexity reduction can be obtained without any loss of quality.

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Design of a Variable half rate speech codec (가변율 half rate 음성 부호화기의 설계)

  • 성호상
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1998.06e
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    • pp.293-296
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    • 1998
  • 본 논문에서는 다양한 멀티미디어 서비스를 위해 가변율 half rate 음성 부호화기를 설계하였다. 유, 무성음과 묵음의 구분을 위해 본 논문에서는 프레임 에너지와 음성 파라메터들을 이용한 효과적인 voicing 결정 알고리즘을 사용하였다. 유성음을 위한 half rate 음성 부호화기는 저속에서 좋은 특성을 보이는 generalized AbS구조를 이용하였다. LPC 계수는 LSP 계수로 변환한 후 predictive 2-stage VQ를 통해서 양자화하며, 여기 신호는 음질저하를 최소화하며 복잡도를 감소시킨 shift 방식의 대수적 고정 코드북 구조를 사용하고, 적응코드북과 여기코드북의 이득은 VQ로 양자화 하였다. 무성음을 위한 부호화기는 대부분이 유성음을 위한 부호화기와 동일하지만, 무성음에서는 피치간 상관도가 매우 낮으므로 피치 보간 방법을 사용하지 않고 개루프로 피치 lag를 찾은 후 전체 프레임에 사용한다. 1 kb/s 부호화기는 묵음 구간과 주변소음 구간에 사용되며 이 구간의 신호를 피치 성분이 미약한 주변소음들로 제한하고 이에 최적인 부음성 부호화기를 설계하였다. 최종적으로 완성된 가변율 half rate 부호화기는 voice activity factor(VAF)가 0.47인 시험음성에서 약 2.6 kb/s의 평균 전송률을 보였다. 주관적 음질 평가의 일환으로 IS-96 표준 코덱인 가변율 8 kb/s QCELP와 A-B preference 시험을 실시하였다. 시험 결과 평균전송률이 약 2배인 가변율 8 kb/s QCELP 보다 우수한 음질 성능을 보였다.

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Performance Improvement Using Mean Compensation of Quantization Noise in Low Bit-rate Video Encoder (저 전송률 통영상에서 양자화 잡음의 평균값 보상을 사용한 부호화기의 성능 개선)

  • 신정환;백성학;김재호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.12A
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    • pp.2085-2091
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    • 2001
  • In lossy compression method, the transformed coefficients are quantized. This results in the quantization noise. The video image quality and bit rate is closely related with the quantization step. In this paper, we proposed a new quantization function for the improved performance. The DC value of each macroblock is compensated depending on the magnitude of DC quantization error. It is implemented very low bit-rate video coding, i.e., H.26L. The experimental result is useful when the object motion is not severe.

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Efficient Variable Dimension Quantization of Harmonic Magnitude (효율적인 가변차원 하모닉 크기 양자화기법)

  • 신경진;이인성
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.7
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    • pp.47-54
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    • 2001
  • In this paper, we present a variable dimension vector quantization for spectral magnitudes. Espectially, spectral magnitudes of the Harmonic coder, need variable dimension quantizer because those are not fixed dimension. So, this paper present efficient quantization methods. These methods use variable Discrete Cosine Transform(DCT) for spectral magnitude parameters and NSTVQ which is combined odd/even, split and multi-stage structure, proposed quantization methods use Spectral Distortion(SD) for performance measure. Consequently, Multi-Stage Nonsquare Transform Vector Quantization(MSNSTVQ) is the best in performance measure.

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A Study of BWE-Prediction-Based Split-Band Coding Scheme (BWE 예측기반 대역분할 부호화기에 대한 연구)

  • Song, Geun-Bae;Kim, Austin
    • The Journal of the Acoustical Society of Korea
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    • v.27 no.6
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    • pp.309-318
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    • 2008
  • In this paper, we discuss a method for efficiently coding the high-band signal in the split-band coding approach where an input signal is divided into two bands and then each band may be encoded separately. Generally, and especially through the research on the artificial bandwidth extension (BWE), it is well known that there is a correlation between the two bands to some degree. Therefore, some coding gain could be achieved by utilizing the correlation. In the BWE-prediction-based coding approach, using a simple linear BWE function may not yield optimal results because the correlation has a non-linear characteristic. In this paper, we investigate the new coding scheme more in details. A few representative BWE functions including linear and non-linear ones are investigated and compared to find a suitable one for the coding purpose. In addition, it is also discussed whether there are some additional gains in combining the BWE coder with the predictive vector quantizer which exploits the temporal correlation.

Enhanced Wavelet Transform-based CELP Coder with Band Selection and Selective VQ (대역 선택 구조와 선택적 벡터 양자화를 이용한 개선된 웨이브릿 변화형 CELP 보호화기)

  • Chang, Dong-Il;Cho, Young-Kwon;Ann, Sou-Guil
    • The Journal of the Acoustical Society of Korea
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    • v.14 no.1E
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    • pp.46-55
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    • 1995
  • In this paper, we present a new wavelet transform-based CELP coder, called band selection wavelet transform CELP (BS-WTCELP) operated at 4.8 kbps. The proposed algorithm uses a band selection scheme of frequency bands of wavelet transform and selective vector quantization (VQ). The band selection and selective VQ structure is implemented by using a classified VQ structure. The proposed algorithm has about 0.5-1.0 dB improvement in segmental SNR compared with the conventional CELP that uses the random codebook search, while is has significantly reduced computational and storage complexity. Many experimental results have shown that the proposed algorithm is more suitable for most real-applications than the conventional CELP and wavelet transform CELP.

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The Study of Comparison of DCT-based H.263 Quantizer for Computative Quantity Reduction (계산량 감축을 위한 DCT-Based H.263 양자화기의 비교 연구)

  • Shin, Kyung-Cheol
    • Journal of the Institute of Convergence Signal Processing
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    • v.9 no.3
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    • pp.195-200
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    • 2008
  • To compress the moving picture data effectively, it is needed to reduce spatial and temporal redundancy of input image data. While motion estimation! compensation methods is effectively able to reduce temporal redundancy but it is increased computation complexity because of the prediction between frames. So, the study of algorithm for computation reduction and real time processing is needed. This paper is presenting quantizer effectively able to quantize DCT coefficient considering the human visual sensitivity. As quantizer that proposed DCT-based H.263 could make transmit more frame than TMN5 at a same transfer speed, and it could decrease the frame drop effect. And the luminance signal appeared the difference of $-0.3{\sim}+0.65dB$ in the average PSNR for the estimation of objective image quality and the chrominance signal appeared the improvement in about 1.73dB in comparision with TMN5. The proposed method reduces $30{\sim}31%$ compared with NTSS and $20{\sim}21%$ compared to 4SS in comparition of calculation quantity.

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Wavelet Image Coding Using the Significant Cluster Extraction by Morphology and the Adaptive Quantization (모폴로지에 의한 중요 클러스터 추출과 적응양자화를 이용한 웨이브릿 영상부호화)

  • 류태경;강경원;권기룡;김문수;문광석
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.2
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    • pp.85-90
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    • 2004
  • This paper proposes the wavelet image coding using the significant cluster extraction by morphology and the adaptive quantization. In the conventional MRWD method, the additional seed data takes large potion of the total data bits. The proposed method extracts the significant cluster using morphology to improve the coding efficiency. In addition, the adaptive quantization is proposed to reduce the number of redundant comparative operations which are indispensably occurred in the MRWD quantization. The experimental result shows that the proposed algorithm has the improved coding efficiency and computational cost while preserving superior PSNR

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Subband Image Coding using Multirate Tree-Structured Vector Quantization (다중비트율 트리구조 벡터 양자화를 이용한 영상의 대역분할 부호화)

  • 이광기;이완주;김대관;최일상;박규태
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.6
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    • pp.895-906
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    • 1993
  • In this paper, MTSVQ(Multirate Tree-Structured Vector Quantization) is introduced for subband image coding. Original images are decomposed into a number of subband components, and multiresolution codebook is designed by MTSVQ algorithm. Optimal bit allocation among the subband components becomes the problem selecting the particular pruned subtree of MTSVQ which has the desired rate and distortion.

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