Fujifilm F10 testing
Pier 39, Fisherman's Warf
This is a perfect example of the F10's lack of dynamic range. In the first shot I metered the background and the figure became too dark, but look what happened in the second shot when I metered the foreground--the background gets totally blown out. Although it's a tricky metering situation for any camera, my Canon 1D MKII would've done much better--although it's at a very different price point.
Richmond district
Although both of these were taken at ISO 800, look at how much cleaner the one of the left is in terms of noise. When I set the ISO to automatic, it often picks ISO 800 even when it's relatively bright--which is what happend to the photo on the left.
Crocker Galleria
Downtown
It's really easy to blow the highlights with the F10.
Union Square
San Francisco Shopping Center
Marnee Thai restaurant in Sunset District--one of my favorite restaurants in the city.
At ISO 1600, the pictures are way too soft, however the lack of noise is quite impressive. The in-camera noise removal algorithm is most likely what's causing the softness.
A mediterranean restaurant in Palo Alto
At ISO 800, the images already get pretty soft.
Chevy's in Foster City
The flash strength of the F10 can't be changed, which is kind of annoying--as demonstrated here. Yes, that is food from Chevy's--totally grossed Elena out with how fattening everything was.
Taken by Elena
Pier 39 at Fisherman's Warf
Ghirardelli Square
Driving around Market Street
Japan Town. While growing up, it's one of the favorite places for me and my friend, since we're all Japanese pop-culture addicts.
Richmond District
Fog in the Sunset District
Palace of Fine Art
Chinatown
Neiman Marcus. If you've ever been in there, you know just how funny the price tags are on everything.
The kind of Victorian houses that's unique to San Francisco
One very annoying things about driving in San Francisco is sloped streets like this.
University Avenue in Palo Alto
These were taken by Elena with the Olympus C3030Z. How many of you can actually see the unique characteristics of individual camera's recorded images? Some cameras have more "personality" than others.