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Reading --- Image denoising using scale mixtures of Gaussians in the wavelet domain
时间 2021-01-11
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阅读时主要关注,对distribution的定义,最终GSM所描述的model是什么样子的,和histogram相比有什么区别? Introduction 在去噪这个问题中,知道 noise 和 uncorrupted images 的 prior probability model 是非常重要的,但是由于信号的 high dimensionality,导致建模过程并不简单。 常用的两个降维假设是
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相关文章
1.
Mixtures of Gaussians and the EM algorithm
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Filtering Images in the Frequency Domain
3.
论文笔记5:Noise Reduction of Hyperspectral Imagery Using Hybrid Spatial-Spectral Derivative-Domain Wavel
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