Detection and removal of specific types of outliers present in different data formats which includes detection and removal of contextual outliers from textual data using LOF, outliers from tabular numeric data using LOF, gaussian noise from image data using NLM and gaussian noisy image frames from video data using autoencoder.

a denoiser using gaussian, median filters and PCA

PyTorch-based implementation of non-local means with GPU support.

Non-local means denoise filter, drop-in replacement of the venerable KNLMeansCL for VapourSynth, but without the OpenCL dependency (CPU only)

Swig-Python Wrapper for Video Non-Local Bayes

CAT12 image denoising as a Docker container

Electron density maps denoising algorithms implementation

A Python implementation of a classical video denoising method, VNLB. Numba + Pytorch are used to achieve GPU parallelism.

Python implementation of "A non-local algorithm for image denoising" paper.

Python implementation of the Non Local Means algorithm for Image Denoising

Non Local Means (NLM) python implementation.

GPU-ported Non-Local-Means for accelerated image denoising

Repository for Aristotle Univerisity of Thessaloniki ECE Deparment, Parallel & Distributed Systems' 3rd project

Implemented the Non Local Means Algorithm for denoising an image

image filtering techniques in python with examples

Python implementation of the Non Local Means algorithm for image denoising.

Optical Coherence Tomography Retinal Image Reconstruction via Non-local Weighted Sparse Representation