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
Un algorithme de post-traitement est présenté pour bloquer la réduction des artefacts dans des images codées en blocs à l'aide de filtres adaptatifs le long du motif de blocs de voisinage. Les artefacts de blocage apparaissent sous forme de composantes haute fréquence irrégulières aux limites des blocs, réduisant ainsi la non-corrélation entre les blocs en raison du processus de quantification indépendant de chaque bloc. En conséquence, un filtrage adaptatif par bloc est proposé pour supprimer ces composants et permettre des distributions de fréquences similaires au sein de deux blocs de voisinage et une corrélation élevée entre les blocs. Ce type de filtrage consiste en un filtrage inter-blocs pour supprimer les artefacts de blocage aux limites des blocs et un filtrage intra-bloc pour supprimer les bruits de sonnerie au sein d'un bloc. Tout d'abord, chaque bloc est classé dans l'une des sept classes en fonction des caractéristiques du coefficient DCT et du MV (vecteur de mouvement) reçus dans le décodeur. Par la suite, des filtres adaptatifs intra-bloc, rapprochés des distributions de fréquence normalisées de chaque classe, sont appliqués de manière adaptative en fonction des divers modèles et distributions de fréquence de chaque bloc ainsi que des directions de filtrage afin de réduire les artefacts de blocage. Enfin, un filtrage intra-bloc est effectué sur les blocs classés comme complexes afin de réduire tout bruit de sonnerie sans flouter les bords. Des tests expérimentaux ont confirmé l'efficacité de l'algorithme proposé.
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Suk-Hwan LEE, Seong-Geun KWON, Kee-Koo KWON, Byung-Ju KIM, Kuhn-Il LEE, "Postprocessing Algorithm in Block-Coded Images Using the Adaptive Filters along the Pattern of Neighborhood Blocks" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 12, pp. 1967-1974, December 2002, doi: .
Abstract: A postprocessing algorithm is presented for blocking artifact reduction in block-coded images using the adaptive filters along the pattern of neighborhood blocks. Blocking artifacts appear as irregular high-frequency components at block boundaries, thereby reducing the noncorrelation between blocks due to the independent quantization process of each block. Accordingly, block-adaptive filtering is proposed to remove such components and enable similar frequency distributions within two neighborhood blocks and a high correlation between blocks. This type of filtering consists of inter-block filtering to remove blocking artifacts at the block boundaries and intra-block filtering to remove ringing noises within a block. First, each block is classified into one of seven classes based on the characteristics of the DCT coefficient and MV (motion vector) received in the decoder. Thereafter, adaptive intra-block filters, approximated to the normalized frequency distributions of each class, are applied adaptively according to the various patterns and frequency distributions of each block as well as the filtering directions in order to reduce the blocking artifacts. Finally, intra-block filtering is performed on those blocks classified as complex to reduce any ringing noise without blurring the edges. Experimental tests confirmed the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_12_1967/_p
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@ARTICLE{e85-d_12_1967,
author={Suk-Hwan LEE, Seong-Geun KWON, Kee-Koo KWON, Byung-Ju KIM, Kuhn-Il LEE, },
journal={IEICE TRANSACTIONS on Information},
title={Postprocessing Algorithm in Block-Coded Images Using the Adaptive Filters along the Pattern of Neighborhood Blocks},
year={2002},
volume={E85-D},
number={12},
pages={1967-1974},
abstract={A postprocessing algorithm is presented for blocking artifact reduction in block-coded images using the adaptive filters along the pattern of neighborhood blocks. Blocking artifacts appear as irregular high-frequency components at block boundaries, thereby reducing the noncorrelation between blocks due to the independent quantization process of each block. Accordingly, block-adaptive filtering is proposed to remove such components and enable similar frequency distributions within two neighborhood blocks and a high correlation between blocks. This type of filtering consists of inter-block filtering to remove blocking artifacts at the block boundaries and intra-block filtering to remove ringing noises within a block. First, each block is classified into one of seven classes based on the characteristics of the DCT coefficient and MV (motion vector) received in the decoder. Thereafter, adaptive intra-block filters, approximated to the normalized frequency distributions of each class, are applied adaptively according to the various patterns and frequency distributions of each block as well as the filtering directions in order to reduce the blocking artifacts. Finally, intra-block filtering is performed on those blocks classified as complex to reduce any ringing noise without blurring the edges. Experimental tests confirmed the effectiveness of the proposed algorithm.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Postprocessing Algorithm in Block-Coded Images Using the Adaptive Filters along the Pattern of Neighborhood Blocks
T2 - IEICE TRANSACTIONS on Information
SP - 1967
EP - 1974
AU - Suk-Hwan LEE
AU - Seong-Geun KWON
AU - Kee-Koo KWON
AU - Byung-Ju KIM
AU - Kuhn-Il LEE
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2002
AB - A postprocessing algorithm is presented for blocking artifact reduction in block-coded images using the adaptive filters along the pattern of neighborhood blocks. Blocking artifacts appear as irregular high-frequency components at block boundaries, thereby reducing the noncorrelation between blocks due to the independent quantization process of each block. Accordingly, block-adaptive filtering is proposed to remove such components and enable similar frequency distributions within two neighborhood blocks and a high correlation between blocks. This type of filtering consists of inter-block filtering to remove blocking artifacts at the block boundaries and intra-block filtering to remove ringing noises within a block. First, each block is classified into one of seven classes based on the characteristics of the DCT coefficient and MV (motion vector) received in the decoder. Thereafter, adaptive intra-block filters, approximated to the normalized frequency distributions of each class, are applied adaptively according to the various patterns and frequency distributions of each block as well as the filtering directions in order to reduce the blocking artifacts. Finally, intra-block filtering is performed on those blocks classified as complex to reduce any ringing noise without blurring the edges. Experimental tests confirmed the effectiveness of the proposed algorithm.
ER -