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Proceedings Paper

Image denoising based on local adaptive multi-scale wavelet least squares support vector regression (MWLS_SVR)
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Paper Abstract

Rather than attempting to separate signal from noise in the spatial domain, it is often advantageous to work in a transform domain. Building on previous work, a novel denoising method based on local adaptive multi-scale wavelet least squares support vector regression is proposed. Investigation on real images contaminated by Gaussian noise has demonstrated that the proposed method can achieve an acceptable trade off between the noise removal and smoothing of the edges and details.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678618 (15 November 2007); doi: 10.1117/12.747962
Show Author Affiliations
Dingxue Wu, Huazhong Univ. of Science and Technology (China)
Huanggang Normal Univ. (China)
Daiqiang Peng, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)


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

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