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