Computational photography by Sanket Mane

Computational Photography

Redefining the way to capture Images

- By Sanket Mane

Computational Photography is a new technique of capturing images by combining the computer graphics, computer vision and optics.

What is Computational Photography?

CCD vs CMOS sensors. The Limitation of the this sensors. Reduction in the size of the pixels

Why is the need for Computational Photography.

Ability to capture more Light Angular resolution is also captured along

with the linear resolution Computational Photography the next big

thing

How Computational Photography is better?

Light the heart of photography. Two techniques used – a) Use of the Mirrorless Interchangeable Lens

b) Programmable Aperture Camera

Ways to capture Light

Mirrorless Interchangeable Lens

Traditional Method of recording light

New Method of recording Light

Aperture Programmable Lens

Properly exposed image is to be obtained Focus and Depth of Field plays an important

role in it Multiple Images are captured Spanning of the entire scene observed by

the camera.

Working of the Camera

Refocusing Remove the Motion Blur WYSIWYG (What you see is what you get) Offline Editing Video Editing

Various Features of Computational Photography

How it is done ?

Refocusing

Motion Less Image

Image with Motion Blur Without Motion Blur

Adjusting of the tone , saturation , color.

WYSIWYG

Make the necessary changes and continue that change throughout the recording

Video Editing

Megapixels Matters to the people? Earlier the images obtained were not in the

good resolution, but now the thing has changed.

New Algorithms are used

How would be the resolution for this camera?

How the Images in Mobile Phones can be improved

Compact Programmable Flashes New Research on better and improving

editing facilities

BLACK BOX WITH JUST ONE BUTTON

Future of Computational Photography

Conclusion

Thank You…

Thank TT