Deblurring Images: Can Blur be Reversed?

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The discussion centers on the possibility of reversing image blur, which is described as a mathematical transformation that theoretically retains information, except at the edges where data may be lost. The argument suggests that if the algorithm and its parameters are known, it should be possible to restore an image to its original state. However, it is acknowledged that information is indeed lost during blurring, as the original pixel values cannot be definitively determined from the blurred result. Despite the theoretical basis for deblurring, the conversation questions the lack of widely available software that effectively removes blur. Some participants reference existing tools and methods, hinting at their existence in forensic applications like those seen in crime dramas. Links to relevant resources are provided for further exploration of deblurring techniques.
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Everyone always says that there is nothing that can ever remove blur from images.
Correct me if I'm wrong, but here's some thoughts:
Blur is a distinct mathematical transformation involving however many parameters. Which would mean that no information is lost in the image(except where the blur sends it out of the bounds of the image - i.e. on the edges).
Which means that given the knowledge of the applied algorithm and its input parameters, one should be able to reverse that transformation and restore (most of) the image back to its original state.
Now, normally you don't have that information, but there aren't that many popular blur algorithms that you wouldn't be able to make a fair guess as to which one and how it was used.

So why are there no programs out there that do that? Or if there are, could someone point me to them?
 
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martix said:
Everyone always says that there is nothing that can ever remove blur from images.
Correct me if I'm wrong, but here's some thoughts:
Blur is a distinct mathematical transformation involving however many parameters. Which would mean that no information is lost in the image(except where the blur sends it out of the bounds of the image - i.e. on the edges).
Yes, information is lost. One pixel can only represent one thing. Say pixel n has a value of 128,128,128, and it is a blur of the two pixels on either side of it. Were the two pixels 0,0,0 and 255,255,255? Or were they 255,128,0 and 0,128,255?

You can't know. Though you can make some guesses based on the likelihood of the changes with the 8 pixels adjacent to n.
martix said:
So why are there no programs out there that do that? Or if there are, could someone point me to them?
There are. Have you never watched CSI?

http://www.makemymood.com/2009/10/21/csi-zoom-story

:biggrin:
 
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