This package contains multiple 3D OCT denoising methods, including our proposed mixed multiscale BM4D (mmBM4D), which is one of the fastest multiscale 3D OCT denoising methods.
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Updated
Jun 14, 2024 - MATLAB
This package contains multiple 3D OCT denoising methods, including our proposed mixed multiscale BM4D (mmBM4D), which is one of the fastest multiscale 3D OCT denoising methods.
University Project for core course Scientific Computing
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
A MATLAB library for sparse representation problems
A fast MATLAB toolbox for N-dimensional sparse arrays.
MATLAB implementation of Orthogonal Matching Pursuit to find the sparsest solution to a linear system of equations, via combinatorial search.
Optical Coherence Tomography Retinal Image Reconstruction via Non-local Weighted Sparse Representation
Pattern Recognition 2018 paper
Code for Sampling of Graph Signals via Randomized Local Aggregations
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
Matlab based implementation for doing face recognition using Discriminative KSVD technique.
Various camera models (Full, Weak and Orthographic) are used to convert 3D real world points into 2D image pixel coordinates by simulating a 'virtual camera'
SPARSE + CELP lossy signal compression codecs
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