Image Inpainting with Global Gradient Statistics
This is a python script to fill holes in grayscale images.
The command line arguments are: filename, x1, x2, y1, y2, T.
(x1, y1) is the upper left coordinate of the hole, and (x2, y2) is the lower right coordinate of the hole.
T is the number of iteratons in the simulated annealing step.
Example: python inpaint.py circle_bw_lowres.jpg 10 16 11 25 10000
How the algorithm works:
- First, collect global statistics about gradient magnitude and gradient angles. For example, a square has either 90 degree gradient angle or 0 degree gradient angle, whereas a circle has uniform gradient angle.
- Construct a maximum likelihood estimator based on gradient statistics.
- Solve the MLE with simulated annealing.
See report.pdf for more details.