如何在matlab中对图像进行去模糊？

虽然以前的答案是正确的，当他们说你无法找回丢失的信息时，你可以调查一下并做一些猜测。

Although previous answers are right when they say that you can't recover lost information, you could investigate a little and make a few guesses.

我以原始大小（75x75）下载了你的图像，你可以在这里看到一个缩放的片段（一个小方块=一个像素）

I downloaded your image in what seems to be the original size (75x75) and you can see here a zoomed segment (one little square = one pixel)

这似乎是一个非常线性的灰度！让我们通过绘制中心行的强度来验证它。在Mathematica中：

It seems a pretty linear grayscale! Let's verify it by plotting the intensities of the central row. In Mathematica:

ListLinePlot[First /@ ImageData[i][[38]][[1 ;; 15]]]

因此，它实际上是线性的，从零开始并以1结束。

So, it is effectively linear, starting at zero and ending at one.

所以你可能猜到它最初是一个B& W图像，线性模糊。

So you may guess it was originally a B&W image, linearly blurred.

最简单的去模糊方法（不总是给出好结果，但在你的情况下足够）是用0.5阈值二值化图像。像这样：

The easiest way to deblur that (not always giving good results, but enough in your case) is to binarize the image with a 0.5 threshold. Like this:

这是一种可行的方法。请记住，我们在这里猜测很多！

And this is a possible way. Just remember we are guessing a lot here!

HTH！