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Proceedings Paper

Image denoising study based on balanced multiwavelet
Author(s): Lingyuan Li; Zhengqiang Wang; Lixin Song
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Paper Abstract

The particular noise in image not only lower the quality of image but also make denoising more difficult. The multiwavelet with the orthogonality and symmetry decompose the image signal more precisely and denoise better than wavelet. But for multiwavelet transform, the choice of prefilter is extremely important, meanwhile leads to the complication of computation. Furthermore, the image decomposition based on balanced orthogonal multiwavelet is excellent, and does not need pre-filtering. So, in this paper, we propose a method of combining threshold-selecting model with semi-soft thresholding function for image denoising based on the coefficients of balanced orthogonal multiwavelet transform. The simulation results show that this method is superior to others.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749424 (30 October 2009); doi: 10.1117/12.838093
Show Author Affiliations
Lingyuan Li, Central China Normal Univ. (China)
Zhengqiang Wang, Xiangfan Univ. (China)
Lixin Song, Xiangfan Univ. (China)


Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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