VariationalFrameworkInpainting

Implementation of a variational framework for non-local inpainting in Matlab, based on the paper from Vadim Fedorov, Gabriele Facciolo, Pablo Arias.

This MATLAB implementation of the variational framework for non-local inpainting is made in the context of the final project of the "Traitement d'Images Avancé" (Advance Image Processing) class for Master 2 students, at the University of Bordeaux. It is written by Yiye Jiang, Anais Gastineau and Candice Bentéjac.

To-do list

• Consider all types of images (grayscale and color images)
• Write the patch error function E for the patch non-local Poisson
• Implement the entire patch match algorithm to compute the nearest-neighbor fields
• Parallelize the patch match algorithm
• Minimize the energies
  • Correspondance update step
  • Image update step
• Implement the confidence masks
• Write the report (easy peasy 😁) -- https://www.overleaf.com/12314065qkxqstqrchft
• Make it work.

To do (if enough time left)

• Write the patch error function E for the patch non-local means
• Write the patch error function E for the patch non-local medians
• Add the new patch error functions to the patch match algorithm and make them a parameter
• Add the possibility for the user to choose which patch error function to use
• Decouple the image and correspondence update steps
• Implement the multiscale scheme
  • Construction of a masked Gaussian pyramid
  • Joint image and NNF upscaling
• Add the ability for the user to select the mask by themselves (brush system on the input image)