Computational Photography presentation by Sanket Mane

1. Computational Photography
Redefining the way to capture Images
- By Sanket Mane

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

3. Why is the need for Computational
Photography.
CCD vs CMOS sensors.
The Limitation of the this sensors.
Reduction in the size of the pixels

4. How Computational Photography is
better?
Ability to capture more Light
Angular resolution is also captured along with the
linear resolution
Computational Photography the next big thing

5. Ways to capture Light
Light the heart of photography.
Two techniques used –
a) Use of the Mirrorless Interchangeable Lens
b) Programmable Aperture Camera

6. Mirrorless Interchangeable Lens
Traditional Method of
recording light
New Method of recording
Light

7. Aperture Programmable Lens

8. Working of the Camera
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.

9. Various Features of Computational
Photography
Refocusing
Remove the Motion Blur
WYSIWYG (What you see is what you get)
Offline Editing
Video Editing

10. Refocusing
How it is done ?

11. Motion Less Image
Image with Motion Blur
Without Motion Blur

12. WYSIWYG
Adjusting of the tone , saturation , color.

13. Video Editing
Make the necessary changes and continue that
change throughout the recording

14. How would be the resolution for this
camera?
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

15. Future of Computational
Photography
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

16. Conclusion

17. Thank You…
Thank TT