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

Python implementation of the Non Local Means algorithm for Image Denoising

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

Swig-Python Wrapper for Video Non-Local Bayes

a denoiser using gaussian, median filters and PCA

Implemented the Non Local Means Algorithm for denoising an image

CAT12 image denoising as a Docker container

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.

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

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

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

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

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

Electron density maps denoising algorithms implementation

An efficient CUDA implementation of Adaptive Non Local Means algorithm for image denoising.

Non-local means implementation (Image Processing coursework)

Non Local Means (NLM) python implementation.

Non Local Means Filter for Image Denoising in CUDA