Share Email Print
cover

Proceedings Paper

Image enhancement based on intrascale dependencies of the second generation curvelet transform
Author(s): Hongxia Hao; Fang Liu; Licheng Jiao
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper presents a strong noise image enhancement method based on intrascale dependencies of the second generation curvelet transform. Observing that the immediate four neighbor coefficients bear the most important dependencies, we use spatial clustering property of the intrascale neighbor coefficients to separate noise and signal of interest, and to deal with them differently, i.e. to suppress noise and strengthen edges. Comparing our approach with Starck's enhancement model (Starck et al., 2003), we experimentally find that for high noise level images, our method outperforms the starck's system in noise suppression and signal strengthening and produces better enhancement results.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749849 (30 October 2009); doi: 10.1117/12.832501
Show Author Affiliations
Hongxia Hao, Xidian Univ. (China)
Ministry of Education of China (China)
Fang Liu, Xidian Univ. (China)
Ministry of Education of China (China)
Licheng Jiao, Ministry of Education of China (China)
Xidian Univ. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top