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[return to "Image Scrubber: tool for anonymizing photographs taken at protests"]
1. Ansil8+vn[view] [source] 2020-05-31 18:06:15
>>dsr12+(OP)
Some tips to maximise user privacy while deploying this tool:

1) The code, for now, runs locally. This is good. To avoid the possibility of the code being tampered with at a later day (for example, it could be modified to send copies of the image to a server), download the webpage and use the saved copy, not the live copy.

2) Do not use the blur functionality. For maximum privacy, this should be removed from the app entirely. There are _a lot_ of forensic methods to reverse blur techniques.

3) Be weary of other things in the photograph that might identify someone: reflections, shadows, so on.

4) Really a subset of 2 and 3, but be aware that blocking out faces is often times not sufficient to anonymise the subject in the photo. Identifying marks like tattoos, or even something as basic as the shoes they are wearing, can be used to identify the target.

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2. Nightl+Qn[view] [source] 2020-05-31 18:09:34
>>Ansil8+vn
"There are _a lot_ of forensic methods to reverse blur techniques"

Any examples? You can't reverse it if the data is gone.

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3. norriu+qy[view] [source] 2020-05-31 19:35:07
>>Nightl+Qn
If you do something really simple like a Gaussian blur (which is a type of convolution), it might be possible to find the inverse convolution (de-convolution) and restore the original image with some accuracy.

One method is the Lucy-Richardson deconvolution [1], which is an iterative algorithm, and here [2] is the best practical example I could find right away. Unfortunately the text is not in English, but the illustrations and formulae might be enough to give some intuition of the process.

[1] https://en.wikipedia.org/wiki/Richardson%E2%80%93Lucy_deconv...

[2] https://habr.com/en/post/136853/

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4. buzzie+eB[view] [source] 2020-05-31 19:56:24
>>norriu+qy
https://github.com/Y-Vladimir/SmartDeblur

http://smartdeblur.net/

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