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
본 논문에서는 임의 모양의 세그먼트에 사용할 수 있는 새로운 리프팅 기반 모양-방향 적응형 이산 웨이블릿 변환(SDA-DWT)을 제안합니다. SDA-DWT에는 리프팅 기반 DWT, 적응형 방향 기술, MPEG-4의 객체 기반 압축 개념이라는 세 가지 주요 기술이 포함되어 있습니다. SDA-DWT를 사용하면 변환된 계수의 수는 임의 모양의 세그먼트 이미지의 픽셀 수와 동일하며 서브밴드 전체의 공간 상관 관계가 잘 보존됩니다. SDA-DWT는 또한 수평이 아니거나 수직이 아닌 가장자리 텍스처가 포함된 이미지의 에너지 압축을 개선하기 위해 텍스처 방향에 따라 필터링 방향을 국부적으로 조정할 수 있습니다. SDA-DWT는 웨이블릿 기반의 모든 애플리케이션에 적용될 수 있으며 리프팅 기술은 하드웨어 구현에 많은 유연성을 제공합니다. 실험 결과에 따르면 방향 텍스처가 풍부한 정지 객체 이미지의 경우 SDA-DWT는 5.88-bpp(비트/객체 픽셀) 조건에서 PSNR에서 SA-DWT보다 최대 2.15dB 성능이 뛰어나며 비트 예산을 최대 28.5%까지 줄입니다. 무손실 압축. 또한 SDA-DWT는 5.44bpp 조건의 PSNR에서 DA-DWT보다 최대 3.28dB 성능이 뛰어나고 비트 예산을 최대 14.0%까지 줄입니다.
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
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
부
@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},}
부
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 -