2.3 相干增强扩散模型(Coherence-enhancing diffusion) 21-23 第三章 PDE模型中的相关问题和数值离散格式 23-30
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Both theory analysis and numerical results show that the new model has better enhancement result than coherence enhancing diffusion and forward and backward diffusion.
理论分析和数值计算表明,该方法具有比相干增强扩散及前向-后向扩散更好的增强效果。
For serial images with linear structure, 3d coherence enhancing diffusion model is introduced.
在此基础上,针对线性结构图像序列,给出了三维一致增强性扩散模型。
Finally, it gave an image de-noising algorithm of coherence enhancing diffusion, which used wavelet coefficients to estimate the image edge according to the wavelets time-frequent analysis function.
针对相干增强扩散计算扩散矩阵较慢的缺点,提出了一种用小波系数估计图像边缘方向的相干增强扩散图像降噪算法。
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