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IMAGE WAVELET DENOISING USING THE ROBUST LOCAL THRESHOLD

LinKezheng、ZhouHongyu

2002Acta Scientiarum Naturalium Universitatis SunyatseniComputer Science被引 2

摘要

This paper suggests a scheme of image denoising based on two-dimensional discrete wavelet transform. The denoising algorithm is described with some operators. By thresholding the wavelet transform coefficients of noisy images, the original image can be reconstructed correctly. Different threshold selections and thresholding methods are discussed. A new robust local threshold scheme is proposed. Quantifying the performance of image denoising schemes by using the mean square error, the performance of the robust local threshold scheme is demonstrated and is compared with the universal threshold scheme. The experiment shows that image denoising using the robust local threshold performs better than that using the universal threshold.

引用本文（GB/T 7714）