For those who know me, they know that I am a beginner photographer equipped with a Nikon D50 DSLR and have bought a Sigma 18-200mm DC OS lens back in February when I visited Singapore.
Since I usually take casual photographs I have never really paid that much attention to people in my photos. My subjects are usually buildings, landscape and views that I find interesting.
Earlier this month I offered to take pictures at my niece’s wedding, and also last weekend at a friend’s engagement ceremony. I was too busy to notice that aberration has occurred to my photographs for both occasions!!!
Here are the 100% crops for both occasions. Directly converted to JPG from Nikon Capture NX without any other processing.
Do you see the almost purple glow at the border between the subject and the background? I have yet to understand this phenomenon but this must have something to do with my lens or the technique I am shooting the pictures. It became a lot worst when there is high contrast between the subject and the background as you can see in the first sample above.
Right now I am totally disappointed. Any photography expert or enthusiasts reading? Opinions are mostly welcome!
bang..lense baru satuuuuuu….
So who’s your old enemy? haha
@azlan: Nak belikan? 😀
@Rizal: “Keep your friends close, and your enemies closer”. So people who are closest to me are my enemies? I can’t figure out Sun-Tzu.
Are you referring to the purple fringing? try this : http://www.cameralabs.com/reviews/Sigma18200mm/page5.shtml
chromatic aberration causing the purple fringing.
i suspect the lens causing this issue. maybe next time you should give attention to those lens with low dispersion glass (UD,LD,ED -depends on lens brand) – as this type of glass will trim down the CA greatly.
have you tried with your 50mm?.. sometimes image sensor also can contribute this special effect 😆
if 50mm image also got purple fringing.. alamatnya DEE-TUJUH-RATUS lah… or newly release DEE-SEMBILAN-PULUH :D.
@fadzli: DEE-SEMBILAN-PULUH sounds nice. I will try my 50mm as soon as I have the chance
@anilezfa: Thanks so it seems that the problem maybe related to SIGMA.