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I want to calculate a coef of image pixelation to remove bad pictures from a bunch of files.

Some pictures results from bad compression and we can see a lot of pixelation on them like img a here: https://i.stack.imgur.com/EPOBI.jpg

I have heard of Fourier transform to calculate repetitive pattern, maybe it can be used in this case to detect pixel square ?

any kind of code making it possible is welcome.

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  • $\begingroup$ Are these images coded using a variety of different techniques or just JPEG (for example)? $\endgroup$
    – Eric
    Oct 19, 2012 at 5:04
  • $\begingroup$ I extract them from videos (mainly encoded with flv and sometime h264) with ffmpeg so I think I can extract them as raw any other formats. $\endgroup$
    – kollo
    Oct 19, 2012 at 13:42
  • $\begingroup$ By "pixelation" you mean lossy compression "jaggy" artifacts? You mean you want to know which files were compressed at too high of a ratio? Does the file format store the compression ratio in its metadata? $\endgroup$
    – endolith
    Oct 19, 2012 at 13:51
  • $\begingroup$ ffmpeg -i filename.flv says Stream #0.0: Video: flv, yuv420p, 720x576, 200 kb/s, 29.97 tbr, 1k tbn, 1k tbc "200 kb/s" is what you want to know. Stream #0.0(und): Video: mpeg4, yuv420p, 176x144 [PAR 1:1 DAR 11:9], 270 kb/s, PAR 12:11 DAR 4:3, 10 fps, 10 tbr, 1k tbn, 10 tbc $\endgroup$
    – endolith
    Oct 19, 2012 at 14:05

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