Ademola-IdowuKhwajaGhosh

Introduction

• Introduction

• Background

• Methods

Pattern:

pattern used by delbraciao

• Results

Using the algorithm as described above the PSF of the camera system was calculated as shown in the figure below:

Estimated PSF

Next we also magnify each block so that the nature of the PSF is visible more clearly, and show the results in the next figure.

PSF in each block magnified

We see that there is a lot of noise in the estimated PSF. This noise can be attributed to the erroneous selection of points while trying to remove perspective distortion. The process was manual, and could have been prone to human error. Although we tried to remove this error through multiple selections of points, which improved the results slightly, but didn’t remove it totally. That is the reason why, selection of different regions while doing the division of Fourier transforms, gave different erroneous regions in the final PSF estimation.

Testing for the validity of estimated PSF To check whether our PSF estimation is correct, we generated 5 patterns, as shown below

5 geneated patterns

We captured the images of these 5 patterns using 3 different camera settings with 3 different f numbers. We took the Fourier transform of each pattern and multiplied it with the Fourier Transform of the PSF. Then we took the inverse Fourier transform and compared it to the captured images. The following figure shows the results for the radial pattern. The first column is the pattern, the second column shows captured images at F# 5.6,18 and 34 and the second column shows the corresponding convolved images.

• Conclusions

• References