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
Neste artigo, é proposta uma nova transformada wavelet discreta adaptativa à direção da forma baseada em levantamento (SDA-DWT) que pode ser usada para segmentos de formato arbitrário. O SDA-DWT contém três técnicas principais: o DWT baseado em levantamento, a técnica direcional adaptativa e o conceito de compressão baseada em objeto em MPEG-4. Com o SDA-DWT, o número de coeficientes transformados é igual ao número de pixels na imagem do segmento de formato arbitrário, e a correlação espacial entre as subbandas é bem preservada. O SDA-DWT também pode adaptar localmente suas direções de filtragem de acordo com as orientações da textura para melhorar a compactação de energia para imagens contendo texturas de borda não horizontais ou não verticais. SDA-DWT pode ser aplicado a qualquer aplicação baseada em wavelet e a técnica de levantamento oferece muita flexibilidade para implementação de hardware. Resultados experimentais mostram que, para imagens estáticas de objetos com texturas de orientação ricas, o SDA-DWT supera o SA-DWT em até 5.88 dB em PSNR na condição de 2.15 bpp (bit / pixel do objeto) e reduz o orçamento de bits em até 28.5% para compressão sem perdas. O SDA-DWT também supera o DA-DWT em até 5.44 dB em PSNR na condição de 3.28 bpp e reduz o orçamento de bits em até 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 -