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Proceedings Paper

Image denoising with window shrink wavelet coefficients by adaptive threshold
Author(s): Yifan Zhao; Jiuxian Li; Liangzheng Xia
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Paper Abstract

We introduce an adaptive wavelet coefficients shrinkage method and apply it to image denoising. Donoho's denoising scheme which is based on thresholding the wavelet coefficients, eliminates too many wavelet coefficient without considering the image's local characteristics. In this paper we propose a new shrinkage method which can modify the magnitude of shrinkage by considering neighboring wavelet coefficients and variance of noise. So we can use more wavelet decomposition levels than other wavelet shrinkage methods to recover the noisy images. The proposed method outperforms the other methods given in literature, while its implementation and concept are both simple.

Paper Details

Date Published: 15 November 2007
PDF: 5 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678613 (15 November 2007); doi: 10.1117/12.737633
Show Author Affiliations
Yifan Zhao, Southeast Univ. (China)
Jiuxian Li, Southeast Univ. (China)
Liangzheng Xia, Southeast Univ. (China)


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

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