Computational Photography: End of Fuzzy Photos
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Computer Science and Artificial Intelligence (CSAIL) researchers Bill Freeman PhD ’92 and Frédo Durand are bringing photography to a new level where widespread errors such as blur are but a distant memory.
Computational photography, their tool, is a means of expanding the capabilities of photography through algorithms. Durand and Freeman expect it will do for the camera what iPhone technology has done for mobile phones. A lot.
Computational photography jumps from a model based on film photography to a new way of seeing things that you cannot see otherwise. It not only enhances reality in snapshots, bringing items into clearer focus, but it can also help create virtual worlds. A technique called image synthesis allows users to create a new worlds by blending images into a seamless panorama.
Find out what's new in Zooming in With Computational Photography.
Comments
Sean
Thu, 07/14/2011 6:55pm
wow - fantastic
but blur is art as other says. lolx
Steve Thompson
Mon, 07/11/2011 6:19pm
We have moved on dramtically in what can be achieved with our photography of today. I never thought fuji velvia would be surpassed but change is with us. Whether we like it or not the computer is an integral part of our photo taking and we should embrace it.
Rob @ Bristol …
Wed, 07/06/2011 8:10am
I don't understand these folks who seem to have a problem with digital manipulation and digital forms of photography. Photography is an artform and as art, its definition and limits are boundless. I'm frequently meddling with Matlab codes in order to find different ways of enhancing and manipulating my photographs.
mehmet
Mon, 04/11/2011 7:01pm
Fantastic concept. However, I sincerely hope that it will not sacrifice the artistic side of photography as HDR has done.
Would love to read about it and see more samples.
Thanks,