In this paper,the relationship between PDE and the Wavelet shrinkage denoising method,and the relationship between PDE and the Gaussian-Markov model are proved based on the Functional theory and the Markov random field theory,respectively. Then two composite denoising models are proposed.
本文根据泛函分析和马尔可夫随机场理论,证明了经典偏微分方程去噪模型与小波阈值收缩模型、高斯-马尔可夫模型的结构一致性,提出了两类偏微分方程与现代图像处理方法结合的复合去噪模型。
参考来源 - 偏微分方程在图像处理中应用的研究Compared with wavelet shrinkage method, the features obtained based on sparse coding have important benefit over wavelet ones.
与小波收缩法相比，稀疏编码法提取的特征要优于小波法提取的特征。
参考来源 - 期刊学术社区·2,447,543篇论文数据，部分数据来源于NoteExpress
The third algorithm proposes a hybrid image denoising algorithm based on wavelet shrinkage and TV diffusion owing to the disadvantage of TV diffusion.
第三种算法根据全变差模型在去除噪声时的缺陷，提出了将非抽样小波和全变差模型结合起来的自适应混合去噪策略。
The principle and process of the second generation transform based on interpolating subdivision is described, and then the selection of wavelet shrinkage is provided.
介绍了基于插值细分法的第二代小波变换的基本原理和变换过程，给出了小波降噪的阈值选取方法。
A fast location algorithm using classifying shrinkage in parameters space and a feature extraction method using improved wavelet cross-zero detection is presented.
提出了参数空间分级收缩的新的定位算法及其改进的小波过零检测的特征提取算法。
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