OK – to straighten things out first, only the first three photos are new. It amazes me… whenever I have time to shoot photos outside, it rains. When I don’t (and end up not getting home until after-dark), it’s… well… dark. This has been annoying as of late.
I do have good news, though. Over the summer, I entered an HDR image of Sri Meenakshi Temple in Pearland, Texas (click on the title for that post/photo) to Harvard University’s Pluralism Project. The Pluralism Project exists to educate people about America’s growing religious diversity and I was excited when they had a call for photos. Well, I am one of the winners, but I can’t say that I got the grand prize. That’s OK – the grand prize definitely kicked everyone’s butt… it’s a beautiful shot of floating lanterns. My shot wasn’t bad, but looking back, I realize that I still need to keep working on framing. I liked the dramatic perspective this one had and will try to improve on it in the future.
Anyway, as for tonight’s shots – the first three come from a quick jaunt out for some rice and pork at a Japanese-Taiwanese restaurant. It was pretty good and cheap… nutritious, too… so no complaints here. The first shot is a nearby restaurant’s paper lantern:
After dinner, Yuling and I walked around the neighborhood. We came across this temple which was located right next to a park – the first shot includes some bokeh in the background as I was trying to get the obligatory temple incense shot:
I had mixed feelings once I was done with the following shot. Since these were taken at night, I was playing around with ISO settings on my camera. I set the ISO on the following shot a little too low/slow (OK, “a lot” too low/slow) and it came out a bit blurry. At the same time, I like the effect on the colors and think the blurriness might work for the photo…
The following photos were taken and recently re-touched. The first was on this blog earlier – I decided to lighten the photo some in order to make it “pop” out more:
…followed by a Taipei photo I dug out of the neglected batch: