Sparse Optimisation Research Code
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Updated
Apr 29, 2024 - Python
Sparse Optimisation Research Code
Scientific Computational Imaging COde
External Module for Total Variation Algorithms, providing wrap for https://github.com/albarji/proxTV
Code for Adaptation Network introduced in "Block-wise Scrambled Image Recognition Using Adaptation Network" paper (AAAI WS 2020)
Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition
Cut-pursuit with preconditioned forward-Douglas-Rachford for regularization of classical functionals by graph total variation
A small tool in python to read the bright-field image data and the phase image data recovered from a Digital holographic microscope (DHM) and segment the nuclei to calculate physical parameters like roughness and volume.
Primal-Dual Solver for Inverse Problems
A Bayesian framework for Multi-Frame Image Super-Resolution. Based on "Bayesian Image Super-Resolution" (ME Tipping and CM Bishop, NeurIPS 2003)
OL: Code for "Hyperspectral Image Super-resolution via Multi-stage Scheme without Employing Spatial Degradation"
Master's thesis 'Low rank- and sparsity-based image registration'
Matlab/Octave Implementation of Crystallographic Pole Figure Inversion
[TVCG 2021] Mesh Total Generalized Variation for Denoising
Carpet: Neural Net based solver for the 1d-TV problem
Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging (ICASSP 2021)
Total variation - sliding Frank Wolfe
Solving hyperbolic PDEs using the Lax-Wendroff Scheme and a finite volume method.
Partial Differential Equations (PDEs) and its application in Image Restoration
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