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
La transformation Contourlet (CT) est une nouvelle méthode de représentation d'image, qui peut représenter efficacement les contours et les textures des images. Cependant, CT est une sorte de transformation surcomplète avec un facteur de redondance de 4/3. S'il est appliqué directement à la compression d'images, le débit binaire de codage peut augmenter pour répondre à une distorsion donnée. Ce fait décourage la communauté des codeurs de développer des techniques de compression d'images basées sur CT avec des performances satisfaisantes. Dans cet article, nous analysons la distribution des coefficients de contourlets significatifs dans différentes sous-bandes et proposons un nouveau codage d'image intégré basé sur les contourlets (CEIC) schéma sur faible débit. Le célèbre codage d'images embarquées basé sur des ondelettes (WEIC) des algorithmes tels que EZW, SPIHT et SPECK peuvent être facilement intégrés dans le schéma proposé en construisant une sous-bande virtuelle basse fréquence, modifiant le cadre de codage de WEIC algorithmes selon la structure des coefficients de contourlet, et en adoptant un schéma de balayage de coefficients significatifs à haute efficacité pour CEIC schème. Le C proposéEIC Ce schéma peut fournir un flux binaire intégré, ce qui est souhaitable dans les réseaux hétérogènes. Nos expériences démontrent que le schéma proposé permet d'obtenir de meilleures performances de compression sur un faible débit. De plus, grâce au contourlet adopté dans le schéma proposé, davantage de contours et de textures dans les images codées sont préservées pour garantir une qualité subjective supérieure.
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Haohao SONG, Songyu YU, "A Contourlet-Based Embedded Image Coding Scheme on Low Bit-Rate" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 9, pp. 2333-2340, September 2008, doi: 10.1093/ietisy/e91-d.9.2333.
Abstract: Contourlet transform (CT) is a new image representation method, which can efficiently represent contours and textures in images. However, CT is a kind of overcomplete transform with a redundancy factor of 4/3. If it is applied to image compression straightforwardly, the encoding bit-rate may increase to meet a given distortion. This fact baffles the coding community to develop CT-based image compression techniques with satisfactory performance. In this paper, we analyze the distribution of significant contourlet coefficients in different subbands and propose a new contourlet-based embedded image coding (CEIC) scheme on low bit-rate. The well-known wavelet-based embedded image coding (WEIC) algorithms such as EZW, SPIHT and SPECK can be easily integrated into the proposed scheme by constructing a virtual low frequency subband, modifying the coding framework of WEIC algorithms according to the structure of contourlet coefficients, and adopting a high-efficiency significant coefficient scanning scheme for CEIC scheme. The proposed CEIC scheme can provide an embedded bit-stream, which is desirable in heterogeneous networks. Our experiments demonstrate that the proposed scheme can achieve the better compression performance on low bit-rate. Furthermore, thanks to the contourlet adopted in the proposed scheme, more contours and textures in the coded images are preserved to ensure the superior subjective quality.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.9.2333/_p
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@ARTICLE{e91-d_9_2333,
author={Haohao SONG, Songyu YU, },
journal={IEICE TRANSACTIONS on Information},
title={A Contourlet-Based Embedded Image Coding Scheme on Low Bit-Rate},
year={2008},
volume={E91-D},
number={9},
pages={2333-2340},
abstract={Contourlet transform (CT) is a new image representation method, which can efficiently represent contours and textures in images. However, CT is a kind of overcomplete transform with a redundancy factor of 4/3. If it is applied to image compression straightforwardly, the encoding bit-rate may increase to meet a given distortion. This fact baffles the coding community to develop CT-based image compression techniques with satisfactory performance. In this paper, we analyze the distribution of significant contourlet coefficients in different subbands and propose a new contourlet-based embedded image coding (CEIC) scheme on low bit-rate. The well-known wavelet-based embedded image coding (WEIC) algorithms such as EZW, SPIHT and SPECK can be easily integrated into the proposed scheme by constructing a virtual low frequency subband, modifying the coding framework of WEIC algorithms according to the structure of contourlet coefficients, and adopting a high-efficiency significant coefficient scanning scheme for CEIC scheme. The proposed CEIC scheme can provide an embedded bit-stream, which is desirable in heterogeneous networks. Our experiments demonstrate that the proposed scheme can achieve the better compression performance on low bit-rate. Furthermore, thanks to the contourlet adopted in the proposed scheme, more contours and textures in the coded images are preserved to ensure the superior subjective quality.},
keywords={},
doi={10.1093/ietisy/e91-d.9.2333},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - A Contourlet-Based Embedded Image Coding Scheme on Low Bit-Rate
T2 - IEICE TRANSACTIONS on Information
SP - 2333
EP - 2340
AU - Haohao SONG
AU - Songyu YU
PY - 2008
DO - 10.1093/ietisy/e91-d.9.2333
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2008
AB - Contourlet transform (CT) is a new image representation method, which can efficiently represent contours and textures in images. However, CT is a kind of overcomplete transform with a redundancy factor of 4/3. If it is applied to image compression straightforwardly, the encoding bit-rate may increase to meet a given distortion. This fact baffles the coding community to develop CT-based image compression techniques with satisfactory performance. In this paper, we analyze the distribution of significant contourlet coefficients in different subbands and propose a new contourlet-based embedded image coding (CEIC) scheme on low bit-rate. The well-known wavelet-based embedded image coding (WEIC) algorithms such as EZW, SPIHT and SPECK can be easily integrated into the proposed scheme by constructing a virtual low frequency subband, modifying the coding framework of WEIC algorithms according to the structure of contourlet coefficients, and adopting a high-efficiency significant coefficient scanning scheme for CEIC scheme. The proposed CEIC scheme can provide an embedded bit-stream, which is desirable in heterogeneous networks. Our experiments demonstrate that the proposed scheme can achieve the better compression performance on low bit-rate. Furthermore, thanks to the contourlet adopted in the proposed scheme, more contours and textures in the coded images are preserved to ensure the superior subjective quality.
ER -