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关于哈尔小波下采样 #40

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zhh99 opened this issue Apr 18, 2022 · 2 comments
Open

关于哈尔小波下采样 #40

zhh99 opened this issue Apr 18, 2022 · 2 comments

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@zhh99
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zhh99 commented Apr 18, 2022

一般的哈尔小波变换是基于pytorch_wavelets库做的，本文设置一些haar_weight，通过卷积形式来实现，不太明白为什么这样可以，可以解释一下吗，谢谢
@pkuxmq
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pkuxmq commented Apr 28, 2022 •
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本代码的实现参考了https://github.com/VLL-HD/FrEIA
Haar变换可以实现为一种卷积操作，即对每个2x2的patch，通过同样的加权运算得到4个通道的1x1的元素，可以实现为输入通道为C，输出通道为4C，stride=2，卷积权值给定的一种卷积运算操作。

@tengqi200
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想问一下这个卷积核怎么推导？能否将这个2D核推广到3D核？可以查阅哪些文献？

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@tengqi200 @pkuxmq @zhh99