IEICE TRANSACTIONS on Fundamentals
Adaptive Selection and Rearrangement of Wavelet Packets for Quad-Tree Image Coding
Summary :
Embedded zero-tree image coding in wavelet domain has drawn a lot of attention. Among noteworthy algorithms is the set partitioning in hierarchical trees (SPIHT). Typically, most of images' energy is concentrated in low frequency subbands. For an image with textures, however many middle-high frequency wavelet coefficients are likely to become significant in the early passes of SPIHT; thus the coding results are often insufficient. Middle and high frequency subbands of images may demand further decompositions using adaptive basis functions. As wavelet packet transform offers a great diversity of basis functions, we propose a quad-tree based adaptive wavelet packet transform to construct adaptive wavelet packet trees for zero-tree image coding. Experimental results show that coding performances can be significantly improved especially for fingerprints images.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.9 pp.2655-2662
- Publication Date
- 2008/09/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.9.2655
- Type of Manuscript
- PAPER
- Category
- Image
Authors
Keyword
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Hsi-Chin HSIN, Tze-Yun SUNG, "Adaptive Selection and Rearrangement of Wavelet Packets for Quad-Tree Image Coding" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 9, pp. 2655-2662, September 2008, doi: 10.1093/ietfec/e91-a.9.2655.
Abstract: Embedded zero-tree image coding in wavelet domain has drawn a lot of attention. Among noteworthy algorithms is the set partitioning in hierarchical trees (SPIHT). Typically, most of images' energy is concentrated in low frequency subbands. For an image with textures, however many middle-high frequency wavelet coefficients are likely to become significant in the early passes of SPIHT; thus the coding results are often insufficient. Middle and high frequency subbands of images may demand further decompositions using adaptive basis functions. As wavelet packet transform offers a great diversity of basis functions, we propose a quad-tree based adaptive wavelet packet transform to construct adaptive wavelet packet trees for zero-tree image coding. Experimental results show that coding performances can be significantly improved especially for fingerprints images.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.9.2655/_p
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@ARTICLE{e91-a_9_2655,
author={Hsi-Chin HSIN, Tze-Yun SUNG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Selection and Rearrangement of Wavelet Packets for Quad-Tree Image Coding},
year={2008},
volume={E91-A},
number={9},
pages={2655-2662},
abstract={Embedded zero-tree image coding in wavelet domain has drawn a lot of attention. Among noteworthy algorithms is the set partitioning in hierarchical trees (SPIHT). Typically, most of images' energy is concentrated in low frequency subbands. For an image with textures, however many middle-high frequency wavelet coefficients are likely to become significant in the early passes of SPIHT; thus the coding results are often insufficient. Middle and high frequency subbands of images may demand further decompositions using adaptive basis functions. As wavelet packet transform offers a great diversity of basis functions, we propose a quad-tree based adaptive wavelet packet transform to construct adaptive wavelet packet trees for zero-tree image coding. Experimental results show that coding performances can be significantly improved especially for fingerprints images.},
keywords={},
doi={10.1093/ietfec/e91-a.9.2655},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Adaptive Selection and Rearrangement of Wavelet Packets for Quad-Tree Image Coding
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2655
EP - 2662
AU - Hsi-Chin HSIN
AU - Tze-Yun SUNG
PY - 2008
DO - 10.1093/ietfec/e91-a.9.2655
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2008
AB - Embedded zero-tree image coding in wavelet domain has drawn a lot of attention. Among noteworthy algorithms is the set partitioning in hierarchical trees (SPIHT). Typically, most of images' energy is concentrated in low frequency subbands. For an image with textures, however many middle-high frequency wavelet coefficients are likely to become significant in the early passes of SPIHT; thus the coding results are often insufficient. Middle and high frequency subbands of images may demand further decompositions using adaptive basis functions. As wavelet packet transform offers a great diversity of basis functions, we propose a quad-tree based adaptive wavelet packet transform to construct adaptive wavelet packet trees for zero-tree image coding. Experimental results show that coding performances can be significantly improved especially for fingerprints images.
ER -
English
