Paper
4 December 2000 Wavelet denoising by MSFI and NSFI
EnBing Lin
Author Affiliations +
Abstract
Image denoising in wavelet transform domain using thresholding is one of the most effective techniques of image enhancement. Even though the thresholding on the wavelet transform domain generally works well, one can still visually note the remaining noise in the resulting image, especially in the non-edge areas. In this paper, we use multi-scaling function interpolation and nonseparable scaling function interpolation to smooth the noise image. Several simulation results will be presented and comparisons between MSFI and NSFI methods will be shown.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
EnBing Lin "Wavelet denoising by MSFI and NSFI", Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); https://doi.org/10.1117/12.408676
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KEYWORDS
Wavelets

Denoising

Signal to noise ratio

Wavelet transforms

Image denoising

Image processing

Visualization

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