What is Computational photography
What is Computational photography
According to wikipedia, Computational photography refers
to digital image capture and processing techniques that use digital computation
instead of optical processes. Computational photography can improve the
capabilities of a camera, or introduce features that were not possible at all
with film based photography, or reduce the cost or size of camera elements.
Examples of computational photography include in-camera computation of
digital panoramas, high-dynamic-range images, and light field
cameras. Light field cameras use novel optical elements to capture three
dimensional scene information which can then be used to produce 3D images,
enhanced depth-of-field, and selective de-focusing (or "post
focus"). Enhanced depth-of-field reduces the need for mechanical focusing systems.
All of these features use computational imaging techniques.
In
other words we can say:
The technology who enhanced the image or photos taken by the
cameras, in this technology many cameras are used to take the more images after
that all images are process using following technology:
1.Computer vision
2.Image progressing
3.Hardwar
4.Computer graphics
We can say Computational
Photography is using Camera With Brain
MORE
CAMERA = MORE DATA -> MORE DATA = BETTER PICTURE
Lytro was the first camera based on this principle, but
unfortunately it fails.
After that, Light16 try to work
on same principle but, we rarely heard about this. So I don’t have to say
anything more regarding this.
Comments
Post a Comment