CS 194 Project 5: Depth Refocusing and Aperture Adjustment with Light Field Data

Author: Ani Surumpudi

Overview

For this project, we had to use lightfield data from the Stanford Light Field Archive to implement the concepts of depth refocusing and aperture adjustment.

Part 1: Depth Refocusing

In order to implement the concept of depth refocusing, I used image at 8,8 as the reference center image. After that, I computed the displacement for every sub-aperature image corresponding to the image from the reference center image at 8,8. I then shift the sub-aperture image by the calculated displacement multiplied by a constant C. Once I did this for every sub-aperature image, I averaged all the shifted images into one final output image. We repeat his process 5 more times where each time we vary the C constant within a range of (-1,4). As you can clearly see, a larger C value focuses the image farther from the front, while a smaller C value focuses away from you. Below are the still images and then finally a GIF to show the transition.

c = -1

c = 0

c = 1

c = 2

c = 3

c = 4

Gif of all c values from (-1,4)

Part 2: Aperture Adjustment

In order to implement aperture adjustment, I averaged a subset of the shifted images with varius radia from the center 8,8. So for radius x, I will average all the images from [8-x],[8-x] to [8+x],[8+x]. Ex. if x = 1, I average images 7,7 7,8 7,9 8,7 8,8 8,9 9,7 9,8 9,9. The radius is varied with the following values: 1,2,4, and 8. You can see the still pictures below as well as the final GIF.

r = 1

r = 2

r = 4

r = 8

Gif of all r values