Multi-Image Fusion
We are all used to taking a single photograph of a scene. However, the photographer’s intent is often to capture more than what can be seen in a single photograph. By combining hundreds or even thousands of images we can create images that are much better than a single photograph. Computation to fuse the image set run either in the cloud or on a single machine can result in enhanced images and experiences of the scene.
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Publications
- Neel Joshi and Michael Cohen, Seeing Mt. Rainier: Lucky Imaging for Multi-Image Denoising, Sharpening, and Haze Removal, in IEEE International Conference on Computational Photography, Institute of Electrical and Electronics Engineers, Inc., March 2010
- Yunpeng Li, Sing Bing Kang, Neel Joshi, Steve Seitz, and Daniel Huttenlocher, Generating sharp panoramas from motion-blurred videos, in IEEE Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, Inc., 2010
