This panoramic image was stitched from five images in portrait orientation. I used a neutral density filter with 10 f-stops to get an exposure of 8 seconds.
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Category: Pano Rectilinear Projection
Panoramas in rectilinear projection.
Long time exposure at Goðafoss (at day)
This image is a panoramic image in rectilinear projection. It’s stitched from 4 images in landscape orientation. Each of the images was taken with a neutral density filter (10 f-stops) to get an exposure time of 8 seconds.
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Long time exposure at Goðafoss (at night)
This image is a panoramic image in rectilinear projection. It’s stitched from 10 images in portrait orientation. Each of the images was taken with a neutral density filter (10 f-stops) to get an exposure time of 15 seconds.
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Raw Recovery with ‘Oloneo Photo Engine’
Yesterday I presented a somewhat older panoramic image from 2006. Usually I don’t need that much time to reach a result which matches my vision. My standard workflow for panoramic images starts with loading all the files in the raw converter. I choose a common white balance for all images and unify exposure, shadows, and other parameters which have to be identical among every source image. After stitching I got the following result:
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I was really disappointed. In my imagination the view just was stunning. But what I saw on the screen was really dull and boring. I tried to achieve a better result with adding masks and doing some dodging and burning, but I didn’t reach my goal of a spectacular image. So I left the files on the harddisk and they were buried in oblivion.
Recently I purchased Olonoe Photo Engine in order to use it for my high dynamic range workflow of spherical panoramas. Independently of that fact, I was recently crawling through the sphericals of our website and I stumbled upon the panorama PanoTwin Jürgen shooting Castle Rock. So I browsed my database for the images and found the long forgotten files of Castle Rock on my hardddisk. Immediately I realised that this image is a good candidate for the mode ‘raw recovery’ of Olonoe Photo Engine. So here is the result after playing a bit with the parameters:
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So I choose the ‘raw recovered’ image as new base image of my tweaks. Again I applied some dodging and burning, but now the image matched my vision when I was standing at the coast of Lynton and looking towards Castle Rock. And this is the final result:
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As Olonoe Photo Engine is capable of processing TIFF images with a bit depth of 16bit, be sure to start your panoramic imagery with images in RAW mode of your camera. And for best results stick to a full 16bit workflow.
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Castle Rock near Lynton (Devon, England)
Nearly six years ago we’ve been at the Panotools-Meeting in Bath. After the sessions we toured the south-west of England four another two weeks. And while taking a little hike near Lynton I took this panorama. And finally today I consider this image as completely post-processed 🙂
Panotwin Markus made a spherical while I was shooting a mosaic of this view. Back in 2006 I used a Konica Minolta Dynax 7D which had 6 Megapixel. As the shot was hand-held and I wanted to make sure not to forget some portions of the view, I chose an overlap of approximately 50%. So I ended up with 20 images (4 columns with 5 rows in landscape orientation). The final panorama has a resolution of only 42 Megapixel. But hey, this was nearly six years ago!
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Bridge over the Ostrach near Bad Hindelang in the winter
This is the second panoramic image which I shot with my first DSLR camera. I took eight images in two rows in landscape orientation. The size of the resulting image is 9080 x 3709 pixel.
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Panorama at Aratiatia Rapids
Despite the resolution of only 5 megapixels of one of the original images the stitched image has 55 megapixel due to its high number of source images. For this panorama I used 22 images in landscape orientation.
The Aratiatia Rapids are flooded every two hours from the dammed section of the Waikato river.
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Tawhai Falls in Tongariro National Park
Standing at the Franz-Josef-Glacier in New Zealand (2004)
This image was stitched from eleven images in mixed orientation (landscape and portrait). The final image is 7033 x 3303 pixels
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