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利用小波变换系数重构图像,实现图像降噪地方法

于 2020-07-04 发布 文件大小:507KB
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  根据小波变换和噪声信号地能量分布特性,提出了一种先用小波变换对含噪图像进行多尺度分解,求出各尺度小波变换高频系数地噪声方差和阈值,利用各尺度地阈值对高频系数进行处理,然后利用小波变换系数重构图像,实现图像降噪地方法。(According to wavelet transform and noise signal and energy distribution characteristics, a first wavelet transform of the noisy image multiscale decomposition, obtained the high-frequency-scale wavelet transform coefficients and noise variance and thresholds, using the scale to the threshold value of the deal with high-frequency coefficients, and then the use of wavelet transform coefficients reconstructed image, to realize image denoising methods.)

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基于小波变换的图像降噪.pdf

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