first it is impossible undo the artifacts in jpeg images
now a lot can be done to synthetically "fix" them
information IS LOST in the jpg compression
yes it went into a black hole BUT the info was NOT conserved on the EH nor passed to a different dimension to be averaged out in the multiverse
-- it's gone --
A test image " Kodak's lenna " --- a industry standard used to calibrate equipment in labs
[attachment=25352:lenna.png]
the eyes and nose are good for showing results ( "g" rated ones )
( the below images are jpg's but , oh well . )
the orig. close up
http://www.imagebam.com/image/f7495b146097871
a jpg artifact added ( two saves at 65% 2x2x2x2 )
http://www.imagebam.com/image/09b07c146097876
over the years i have found a few things to do this NOTHING works very very well . However GREYCstoration now Gmic works well , within reason.
http://gmic.sourceforge.net/gimp.shtml
a gimp add on and a bash command line tool .
the gimp tool ONLY works on 8 bit / layer ( 24 bit rgb )
the command line tool works on 8,16 singed & unsinged ,and 32 bit floating point .
warning this only artificially fixes them
for now the gimp tool
i like the "edge preservation flow" pde
http://www.imagebam.com/image/ab66bb146099305
and the close up
http://www.imagebam.com/image/bf37c5146099340
the artifacts are gone BUT the image is way too smooth
add some noise
http://www.imagebam.com/image/e6cc98146099566
a small amount 4 will do
and the close up AND the orig. image
http://www.imagebam.com/image/878dcf146099960 http://www.imagebam.com/image/f7495b146099973
the terminal command
I just stumbled upon this post --- one problem with this technique is that it yields an excessively smoothed image, not so much esthetically (as was improved by adding a bit of noise) but in the sense of losing fine edge detail. It occurs to me that an edge enhancement which downplays vertical and horizontal edges (which would mostly be jpeg artifacts) might be combined with this technique to yield somewhat better results. Probably would need a custom script to do this sort of edge enhancement, then merge the results of the two methods as a single image. Just a thought
hi , maybe but the problem of jpg images is that the original data is already missing from the compression
JPEG artifact "removal" continues to be an area of active research, with current work (unsurprisingly) utilizing "AI" techniques. See https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=jpeg+artifact+removal
Hi Brian , things have gotten a bit better in the 10 YEARS since i posted this , but it is still a bit of a problem and an AI program looks to be an option .
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