Image denoising based on wavelet transform

Yan Ha

doi:10.1117/12.828818

20 May 2009 Image denoising based on wavelet transform

Yan Ha

Proceedings Volume 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 728348 (2009) https://doi.org/10.1117/12.828818
Event: AOMATT 2008 - 4th International Symposium on Advanced Optical Manufacturing, 2008, Chengdu, Chengdu, China

Abstract

Several wavelet denoising methods based on wavelet transform, such as modulus maximum and threshold denoising, have been proposed in this paper. In modulus maximum method, we use a new piecewise cubic spline interpolating (PCSI) algorithm instead of alternate projection (AP) method to reconstruct wavelet coefficients. Middle threshold is presented based on wavelet shrinkage. It overcomes not only the discontinuous of hard-threshold algorithm but also the shortcoming that there is an invariable dispersion between the estimated wavelet coefficients and decomposed wavelet coefficients of soft-threshold algorithm. At the same time, it is more elastic than the soft- threshold and hard-threshold function.

Citation Download Citation

Yan Ha "Image denoising based on wavelet transform", Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 728348 (20 May 2009); https://doi.org/10.1117/12.828818

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