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
Dans cet article, une nouvelle transformation en ondelettes discrètes (SDA-DWT) adaptative de forme, de direction et basée sur le levage, qui peut être utilisée pour des segments de forme arbitraire, est proposée. Le SDA-DWT contient trois techniques principales : le DWT basé sur le levage, la technique directionnelle adaptative et le concept de compression basée sur les objets en MPEG-4. Avec SDA-DWT, le nombre de coefficients transformés est égal au nombre de pixels dans l'image de segment de forme arbitraire, et la corrélation spatiale entre les sous-bandes est bien préservée. SDA-DWT peut également adapter localement ses directions de filtrage en fonction des orientations de texture pour améliorer le compactage énergétique des images contenant des textures de bords non horizontales ou non verticales. SDA-DWT peut être appliqué à toute application basée sur des ondelettes et la technique de levage offre une grande flexibilité pour la mise en œuvre matérielle. Les résultats expérimentaux montrent que, pour les images d'objets fixes avec des textures d'orientation riches, le SDA-DWT surpasse le SA-DWT jusqu'à 5.88 dB en PSNR dans des conditions de 2.15 bpp (bit/pixel objet), et réduit le budget binaire jusqu'à 28.5 % pour compression sans perte. SDA-DWT surpasse également DA-DWT jusqu'à 5.44 dB en PSNR dans des conditions de 3.28 bpp et réduit le budget binaire jusqu'à 14.0 %.
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Sheng-Fuu LIN, Chien-Kun SU, "Shape-Direction-Adaptive Lifting-Based Discrete Wavelet Transform for Arbitrarily Shaped Segments in Image Compression" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 10, pp. 2467-2476, October 2008, doi: 10.1093/ietisy/e91-d.10.2467.
Abstract: In this paper, a new lifting-based shape-direction-adaptive discrete wavelet transform (SDA-DWT) which can be used for arbitrarily shaped segments is proposed. The SDA-DWT contains three major techniques: the lifting-based DWT, the adaptive directional technique, and the concept of object-based compression in MPEG-4. With SDA-DWT, the number of transformed coefficients is equal to the number of pixels in the arbitrarily shaped segment image, and the spatial correlation across subbands is well preserved. SDA-DWT also can locally adapt its filtering directions according to the texture orientations to improve energy compaction for images containing non-horizontal or non-vertical edge textures. SDA-DWT can be applied to any application that is wavelet based and the lifting technique provides much flexibility for hardware implementation. Experimental results show that, for still object images with rich orientation textures, SDA-DWT outperforms SA-DWT up to 5.88 dB in PSNR under 2.15-bpp (bit / object pixel) condition, and reduces the bit-budget up to 28.5% for lossless compression. SDA-DWT also outperforms DA-DWT up to 5.44 dB in PSNR under 3.28-bpp condition, and reduces the bit-budget up to 14.0%.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.10.2467/_p
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@ARTICLE{e91-d_10_2467,
author={Sheng-Fuu LIN, Chien-Kun SU, },
journal={IEICE TRANSACTIONS on Information},
title={Shape-Direction-Adaptive Lifting-Based Discrete Wavelet Transform for Arbitrarily Shaped Segments in Image Compression},
year={2008},
volume={E91-D},
number={10},
pages={2467-2476},
abstract={In this paper, a new lifting-based shape-direction-adaptive discrete wavelet transform (SDA-DWT) which can be used for arbitrarily shaped segments is proposed. The SDA-DWT contains three major techniques: the lifting-based DWT, the adaptive directional technique, and the concept of object-based compression in MPEG-4. With SDA-DWT, the number of transformed coefficients is equal to the number of pixels in the arbitrarily shaped segment image, and the spatial correlation across subbands is well preserved. SDA-DWT also can locally adapt its filtering directions according to the texture orientations to improve energy compaction for images containing non-horizontal or non-vertical edge textures. SDA-DWT can be applied to any application that is wavelet based and the lifting technique provides much flexibility for hardware implementation. Experimental results show that, for still object images with rich orientation textures, SDA-DWT outperforms SA-DWT up to 5.88 dB in PSNR under 2.15-bpp (bit / object pixel) condition, and reduces the bit-budget up to 28.5% for lossless compression. SDA-DWT also outperforms DA-DWT up to 5.44 dB in PSNR under 3.28-bpp condition, and reduces the bit-budget up to 14.0%.},
keywords={},
doi={10.1093/ietisy/e91-d.10.2467},
ISSN={1745-1361},
month={October},}
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TY - JOUR
TI - Shape-Direction-Adaptive Lifting-Based Discrete Wavelet Transform for Arbitrarily Shaped Segments in Image Compression
T2 - IEICE TRANSACTIONS on Information
SP - 2467
EP - 2476
AU - Sheng-Fuu LIN
AU - Chien-Kun SU
PY - 2008
DO - 10.1093/ietisy/e91-d.10.2467
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2008
AB - In this paper, a new lifting-based shape-direction-adaptive discrete wavelet transform (SDA-DWT) which can be used for arbitrarily shaped segments is proposed. The SDA-DWT contains three major techniques: the lifting-based DWT, the adaptive directional technique, and the concept of object-based compression in MPEG-4. With SDA-DWT, the number of transformed coefficients is equal to the number of pixels in the arbitrarily shaped segment image, and the spatial correlation across subbands is well preserved. SDA-DWT also can locally adapt its filtering directions according to the texture orientations to improve energy compaction for images containing non-horizontal or non-vertical edge textures. SDA-DWT can be applied to any application that is wavelet based and the lifting technique provides much flexibility for hardware implementation. Experimental results show that, for still object images with rich orientation textures, SDA-DWT outperforms SA-DWT up to 5.88 dB in PSNR under 2.15-bpp (bit / object pixel) condition, and reduces the bit-budget up to 28.5% for lossless compression. SDA-DWT also outperforms DA-DWT up to 5.44 dB in PSNR under 3.28-bpp condition, and reduces the bit-budget up to 14.0%.
ER -