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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Pemampatan imej berasaskan wavelet semakin popular kerana ciri pemadatan yang menjanjikan pada kadar bit rendah. Skim pengekodan imej wavelet Zerotree dengan cekap mengeksploitasi lebihan berbilang peringkat yang terdapat dalam data yang diubah untuk meminimumkan bit pengekodan. Dalam makalah ini, teknik baharu dicadangkan untuk mencapai pemampatan tinggi dengan menambahkan zerotree baharu dan simbol penting kepada pengkod EZW asal. Bertentangan dengan empat simbol yang terdapat dalam skema EZW asas, algoritma yang diubah suai menggunakan lapan simbol untuk menjana bit yang lebih sedikit untuk data tertentu. Pas bawahan EZW dihapuskan dan digantikan dengan penghantaran nilai sisa tetap untuk pelaksanaan yang mudah. Pengubahsuaian ini juga memudahkan teknik pengekodan dan mempercepatkan proses, mengekalkan sifat embeddedness.
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Salinan
Tanzeem MUZAFFAR, Tae-Sun CHOI, "Simplified Wavelet Based Image Compression Using Fixed Length Residual Value" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 12, pp. 1828-1831, December 2001, doi: .
Abstract: Wavelet based image compression is getting popular due to its promising compaction properties at low bitrate. Zerotree wavelet image coding scheme efficiently exploits multi-level redundancy present in transformed data to minimize coding bits. In this paper, a new technique is proposed to achieve high compression by adding new zerotree and significant symbols to original EZW coder. Contrary to four symbols present in basic EZW scheme, the modified algorithm uses eight symbols to generate fewer bits for a given data. Subordinate pass of EZW is eliminated and replaced with fixed residual value transmission for easy implementation. This modification simplifies the coding technique as well and speeds up the process, retaining the property of embeddedness.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_12_1828/_p
Salinan
@ARTICLE{e84-d_12_1828,
author={Tanzeem MUZAFFAR, Tae-Sun CHOI, },
journal={IEICE TRANSACTIONS on Information},
title={Simplified Wavelet Based Image Compression Using Fixed Length Residual Value},
year={2001},
volume={E84-D},
number={12},
pages={1828-1831},
abstract={Wavelet based image compression is getting popular due to its promising compaction properties at low bitrate. Zerotree wavelet image coding scheme efficiently exploits multi-level redundancy present in transformed data to minimize coding bits. In this paper, a new technique is proposed to achieve high compression by adding new zerotree and significant symbols to original EZW coder. Contrary to four symbols present in basic EZW scheme, the modified algorithm uses eight symbols to generate fewer bits for a given data. Subordinate pass of EZW is eliminated and replaced with fixed residual value transmission for easy implementation. This modification simplifies the coding technique as well and speeds up the process, retaining the property of embeddedness.},
keywords={},
doi={},
ISSN={},
month={December},}
Salinan
TY - JOUR
TI - Simplified Wavelet Based Image Compression Using Fixed Length Residual Value
T2 - IEICE TRANSACTIONS on Information
SP - 1828
EP - 1831
AU - Tanzeem MUZAFFAR
AU - Tae-Sun CHOI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2001
AB - Wavelet based image compression is getting popular due to its promising compaction properties at low bitrate. Zerotree wavelet image coding scheme efficiently exploits multi-level redundancy present in transformed data to minimize coding bits. In this paper, a new technique is proposed to achieve high compression by adding new zerotree and significant symbols to original EZW coder. Contrary to four symbols present in basic EZW scheme, the modified algorithm uses eight symbols to generate fewer bits for a given data. Subordinate pass of EZW is eliminated and replaced with fixed residual value transmission for easy implementation. This modification simplifies the coding technique as well and speeds up the process, retaining the property of embeddedness.
ER -