Implementation of `High-Quality Motion Deblurring from a Single Image (SIGGRAPH 2008)`

This repository refers to a project for the course INF01046 - Image Processing Fundamentals at INF in UFRGS.

Brief Documentation

blind/ - contains some images generated from our blind deconvolution
non-blind/ - contains some images generated from our non-blind deconvolution
examples/ - contains a few examples of blurred images and their respective blurred kernels
fails/ - contains some fails generated during work
convolve.py - contains the methods related to convolution
deblur.py - contains the methods to perform the deconvolution
helpers.py - contains some methods for reading images and kernels
main.py - performs the algorithm

For a more detailed and comprehensive explanation of this project, please refer to this document.

These are the results of applying non-blind deconvolution (the input is both the blurred image and the kernel) to certain images:

These are the results of applying blind deconvolution (the input is only the blurred image) comparing the results with the original paper:

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
blind		blind
examples		examples
fails		fails
non-blind		non-blind
.gitignore		.gitignore
Phi-geogebra.ggb		Phi-geogebra.ggb
README.md		README.md
convolve.py		convolve.py
deblur.py		deblur.py
helpers.py		helpers.py
main.py		main.py
report.pdf		report.pdf
requirements.txt		requirements.txt