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
웨이블릿 도메인에 내장된 제로 트리 이미지 코딩이 많은 주목을 받았습니다. 주목할만한 알고리즘 중에는 SPIHT(계층 트리의 세트 파티셔닝)가 있습니다. 일반적으로 대부분의 이미지 에너지는 저주파 하위 대역에 집중됩니다. 그러나 텍스처가 있는 이미지의 경우 많은 중-고주파 웨이블릿 계수가 SPIHT의 초기 통과에서 중요해질 가능성이 높습니다. 따라서 코딩 결과가 불충분한 경우가 많습니다. 이미지의 중간 및 고주파 부분대역은 적응형 기본 함수를 사용하여 추가 분해가 필요할 수 있습니다. 웨이블릿 패킷 변환은 매우 다양한 기본 기능을 제공하므로 제로 트리 이미지 코딩을 위한 적응형 웨이블릿 패킷 트리를 구성하기 위해 쿼드 트리 기반 적응형 웨이블릿 패킷 변환을 제안합니다. 실험 결과는 특히 지문 이미지의 경우 코딩 성능이 크게 향상될 수 있음을 보여줍니다.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
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
부
@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},}
부
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 -