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Image denoising based on wavelets and multifractals for singularity detection and multiscale anisotropic diffusion
Image denoising based on wavelets and multifractals for singularity detection and multiscale anisotropic diffusion
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机译:基于小波和分形的奇异检测和多尺度各向异性扩散图像降噪
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摘要
A noisy image is transformed through a wavelet transform into multiple scales. The wavelet coefficients are classified at each scale into two categories corresponding to irregular coefficients, edge-related and regular coefficients. Different denoising algorithms are applied to different classes. Alternatively, a denoising technique is applied to the finest scale, and the wavelet coefficients at all scales are denoised through anisotropic diffusion.
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