Matts (email not shown publicly) I work for MessageLabs [messagelabs.com] in Toronto, ON, Canada. I write spam filters, MTA software, high performance network software, string matching algorithms, and other cool stuff mostly in Perl and C.
I started badly but quickly reaslised that it's easy to spot a JPEG if there is gradual colour JPEGs look more blotchy. So the ones with the grey backgrounds turned out to be dead easy, those with solid backs were much harder to discriminate.
I found the "quality 11" ones to be very difficult, having to go on the subtle gradient splotchiness that ajt mentioned. The "quality 7" ones typically had serious edge color distortion.
Not sure how I did so well. My crummy 1028x768 laptop lcd was a heck of a handicap. I mostly used shadows to figure it out. For some reason I had an easier time if there was some red in the image.
I got nine out of ten. But I'm a really picky bastard. My wife is a graphic designer, but she asks me to proof stuff when she wants to know if there's too much dot gain or if an image is misplaced by.1 pica.
Not Office Safe (Score:1)
Bill
# I had a sig when sigs were cool
use Sig;
Re:Not Office Safe (Score:2)
Re:Not Office Safe (Score:1)
Bill
# I had a sig when sigs were cool
use Sig;
Re:Not Office Safe (Score:2)
Not very safe for browsing around one's wife, either!
J. David works really hard, has a passion for writing good software, and knows many of the world's best Perl programmers
8 out of 10 (Score:2)
I started badly but quickly reaslised that it's easy to spot a JPEG if there is gradual colour JPEGs look more blotchy. So the ones with the grey backgrounds turned out to be dead easy, those with solid backs were much harder to discriminate.
-- "It's not magic, it's work..."
10 out of 10 (Score:1)
Re:10 out of 10 (Score:2)
9/10 (Score:2)
Interesting test.
9/10 (Score:2)
—Theory
On a laptop, it was a near wash (Score:2)