DocumentCode :
1655577
Title :
Lifting-based directionlet transform for image coding
Author :
Bai, Jing ; Wu, Jiaji ; Lu, Shan ; Jiao, Licheng
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an
fYear :
2008
Firstpage :
1055
Lastpage :
1058
Abstract :
In this paper, a new lifting scheme of directionlet transform(LDT) is presented, the corresponding multi-directional and anisotropic transform has lattice-based separable filtering and subsampling along any two directions with rational slopes. We design an adaptive compression algorithm based on LDT, using the quad-tree segmentation resulting optimized directions. Experimental results show that our proposed compression algorithm for image coding outperforms the standard wavelet-based SPIHT and JPEG2000 both in terms of PSNR and visual quality, especially at the low-rate.
Keywords :
data compression; filtering theory; image coding; transforms; JPEG2000; PSNR; adaptive compression algorithm; anisotropic transform; image coding; lattice-based separable filtering; lifting-based directionlet transform; multidirectional transform; quad-tree segmentation; visual quality; wavelet-based SPIHT; Algorithm design and analysis; Anisotropic magnetoresistance; Compression algorithms; Energy resolution; Filtering; Image coding; Image segmentation; Quantization; Transform coding; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697310
Filename :
4697310
Link To Document :
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