This is the blog of the PanoTwins
On our website a conventional photographic image was taken with a single shot. In most cases the lens was a rectilinear lens.
The original footage has been taken from a Full- HD movie. I exported some frames of the film to individual images and used Photoshop CS6 to create this cinemagraph (in fact it’s an animated GIF image).
Lessons learned: Use a tripod!
As I didn’t use a tripod in the shoot, I had to align each of the images to minimize the movement between frames.
Click on the thumbnail image to open the cinemagraph in a higher resolution. The original footage has been taken from a Full- HD movie. I exported some seconds of the film to individual images and used The Gimp to create this animated GIF image.
In a post from yesterday I analyzed a series of images from the Voigtländer Ultra Wide Heliar 12mm/5.6 on my Sony NEX-7 in order to identify the best aperture for maximum resolution. I wondered about the impact of my corrections at the stage of post-processing the images. To answer this question I picked the image taken with an aperture of f=8 and compare a uncorrected and a corrected version of the image.
While post-processing the uncorrected image I did the following:
While post-processing the corrected image I did the following:
For each of the marked locations in the full image I extracted a square (250 pixel * 250 pixel) which I will present at it’s original resolution. These images are not sharpened except for the same input sharpening with the raw converter. They are saved for web with a quality-setting of 60%.
In my opinion it’s clearly visible that the applied correction didn’t reduce the resolution of the image and therefore the identification of the best aperture for maximum resolution is not affected by these corrections.
Recently I started using a Voigtländer Ultra Wide Heliar 12mm/5.6 on my Sony NEX-7. In two other articles I already described how to configure your NEX-7 for maximum assistance with manual lenses, how to attach the lens to the camera and how to post-process the images to eliminate the magenta cast in the corners.
As I am aware of the fact, that any combination of lens and body has it’s maximum sharpness at a specific aperture I did a series of test images to find this maximum. My subject was the front of a building. It has a nearly flat surface and the clinker bricks contain a lot of fractal details. The camera was mounted on a tripod whose distance to the wall was approximately 15 meters (approximately 50 feet). Images were taken with self-timer to prevent any camera-shake. Focus was set at the first exposure which was taken at f=5.6. The image quality was set to RAW (6,000 pixel * 4,000 pixel).
While post-processing the images I did the following:
The following image (at f=8) was scaled to 1,500 pixel * 1,000 pixel, sharpened and saved for web with a quality-setting of 60%.
For each of the marked locations in the full image I extracted a square (250 pixel * 250 pixel) which I will present at it’s original resolution. These images are not sharpened except for the same input sharpening with the raw converter. They are saved for web with a quality-setting of 60%.
In my opinion it’s easy to see that the Voigtländer Ultra Wide Heliar 12mm/5.6 reaches it’s maximum sharpness at an aperture around 8 on a Sony NEX-7. If you stop further down diffraction starts to limit the resolution. For further reading on this issue try to start at this page at diglloyd.com.
Show on map
Today I was searching for an image of the subway station Westfriedhof in Munich. As I browsed my database I found the following image of Panotwin Markus shooting the Munich subway station Westfriedhof with a double monopod setup.
The final panorama is hosted at the WWP event ‘Color’.
Show on map
The following images have been taken with a SLR Magic 35/f1.7 lens.
This year we started with a photographic experiment. We recruited two assistants and used some sparklers to write 2012 in the air.
With this image we wish you happiness, luck and health for 2012. And of course a lot of new panoramic images 🙂