Share Email Print
cover

Proceedings Paper

Image denoising using improved adaptive proportion-shrinking algorithm based on second generation bandelets
Author(s): Biao Hou; Haigang Li; Licheng Jiao; Hongxiao Feng
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

As one important multiresoltion geometry analysis tool, second generation bandelets can make full use of intrinsic geometry regularity of images, and then produces a sparse representation. This paper proposes a new denoising method, which is based on second generation bandelets and improved adaptive proportion-shrinking algorithm. Experiments on natural images with additive Gaussian white noise show that our method not only has the high peak signal to noise ratio(PSNR) value, but also has finer impression in vision, especially, has better performance on preservation of edges information and textures information than the classical proportion-shriking algorithm.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863E (15 November 2007); doi: 10.1117/12.750038
Show Author Affiliations
Biao Hou, Xidian Univ. (China)
Haigang Li, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)
Hongxiao Feng, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

© SPIE. Terms of Use
Back to Top