Image Destabilization: Programmable Defocus using Lens and Sensor Motion
Name
Mohan-2009-Image Destabilization Programmable Defocus using Lens and Sensor Motion.pdf
Size
6.78 MB
Format
Adobe PDF
Checksum (MD5)
3c8b84a3d0382281d6bda62984869156
Author(s)
Lanman, Douglas R.
Mohan, Ankit
Hiura, Shinsaku
Raskar, Ramesh
Date Issued
August 2010
Journal
IEEE International Conference on Computational Photography (ICCP), 2009
Publisher
Institute of Electrical and Electronics Engineers
Citation
Mohan, A. et al. “Image destabilization: Programmable defocus using lens and sensor motion.” Computational Photography (ICCP), 2009 IEEE International Conference on. 2009. 1-8. © 2009 IEEE.
Version
Final published version
Abstract
We propose a novel camera setup in which both the lens and the sensor are perturbed during the exposure. We analyze the defocus effects produced by such a setup, and use it to demonstrate new methods for simulating a lens with a larger effective aperture size (i.e., shallower depth of field) and methods for achieving approximately depth-independent defocus blur size. We achieve exaggerated, programmable, and pleasing bokeh with relatively small aperture sizes such as those found on cell phone cameras. Destabilizing the standard alignment of the sensor and lens allows us to introduce programmable defocus effects and achieve greater flexibility in the image capture process.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
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