Paper
24 November 2009 Image denoising algorithm based on the relevance of wavelet coefficients
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Abstract
In this paper the wavelet transform and the wavelet transform theory have been elaborated. A wavelet coefficients' model in which individual shrinkage thresholds are selected for each coefficient has been established. The relationships between different wavelet coefficients are analyzed. According to this new model, a new algorithm of image denosing has been proposed. It is shown in the experiments that the new algorithm is more effective than traditional algorithms.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Ha "Image denoising algorithm based on the relevance of wavelet coefficients", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75132E (24 November 2009); https://doi.org/10.1117/12.838145
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KEYWORDS
Wavelets

Denoising

Image denoising

Image filtering

Wavelet transforms

Digital filtering

Image processing

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