The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A quantização vetorial de estado finito (FSVQ) é uma técnica de codificação de bloco bem conhecida para compressão de imagens digitais em aplicações de baixa taxa de bits. Neste artigo, um algoritmo aprimorado de quantização vetorial de estado finito (IFMFSVQ) de mapa de recursos usando previsão de correspondência lateral de três lados é proposto para codificação de imagem. A nova correspondência lateral de três lados melhora a qualidade de previsão dos blocos de entrada. Blocos pré-codificados são usados para aliviar a propagação de erros de correspondência lateral. Um limite de borda é usado para classificar os blocos em blocos sem borda ou com borda para melhorar o desempenho da taxa de bits. Além disso, um método adaptativo também é obtido. Os resultados experimentais revelam que o novo IFMFSVQ reduz significativamente a taxa de bits, mantendo a mesma qualidade subjetiva, em comparação com o método FMFSVQ básico.
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Newaz M. S. RAHIM, Takashi YAHAGI, "Image Coding Using an Improved Feature Map Finite-State Vector Quantization" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 11, pp. 2453-2458, November 2002, doi: .
Abstract: Finite-state vector quantization (FSVQ) is a well-known block encoding technique for digital image compression at low bit rate application. In this paper, an improved feature map finite-state vector quantization (IFMFSVQ) algorithm using three-sided side-match prediction is proposed for image coding. The new three-sided side-match improves the prediction quality of input blocks. Precoded blocks are used to alleviate the error propagation of side-match. An edge threshold is used to classify the blocks into nonedge or edge blocks to improve bit rate performance. Furthermore, an adaptive method is also obtained. Experimental results reveal that the new IFMFSVQ reduces bit rate significantly maintaining the same subjective quality, as compared to the basic FMFSVQ method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_11_2453/_p
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@ARTICLE{e85-a_11_2453,
author={Newaz M. S. RAHIM, Takashi YAHAGI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Image Coding Using an Improved Feature Map Finite-State Vector Quantization},
year={2002},
volume={E85-A},
number={11},
pages={2453-2458},
abstract={Finite-state vector quantization (FSVQ) is a well-known block encoding technique for digital image compression at low bit rate application. In this paper, an improved feature map finite-state vector quantization (IFMFSVQ) algorithm using three-sided side-match prediction is proposed for image coding. The new three-sided side-match improves the prediction quality of input blocks. Precoded blocks are used to alleviate the error propagation of side-match. An edge threshold is used to classify the blocks into nonedge or edge blocks to improve bit rate performance. Furthermore, an adaptive method is also obtained. Experimental results reveal that the new IFMFSVQ reduces bit rate significantly maintaining the same subjective quality, as compared to the basic FMFSVQ method.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Image Coding Using an Improved Feature Map Finite-State Vector Quantization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2453
EP - 2458
AU - Newaz M. S. RAHIM
AU - Takashi YAHAGI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2002
AB - Finite-state vector quantization (FSVQ) is a well-known block encoding technique for digital image compression at low bit rate application. In this paper, an improved feature map finite-state vector quantization (IFMFSVQ) algorithm using three-sided side-match prediction is proposed for image coding. The new three-sided side-match improves the prediction quality of input blocks. Precoded blocks are used to alleviate the error propagation of side-match. An edge threshold is used to classify the blocks into nonedge or edge blocks to improve bit rate performance. Furthermore, an adaptive method is also obtained. Experimental results reveal that the new IFMFSVQ reduces bit rate significantly maintaining the same subjective quality, as compared to the basic FMFSVQ method.
ER -