image filtering techniques in python with examples

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

Non Local Means Filter for Image Denoising in CUDA

Non Local Means (NLM) python implementation.

Non-local means implementation (Image Processing coursework)

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

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

Electron density maps denoising algorithms implementation

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

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

Python implementation of the Non Local Means algorithm for Image Denoising

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

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

Implementation and evaluation of classical and deep learning-based image denoising methods. The project compares Non-Local Means (NLM), BM3D, U-Net, and Denoising Autoencoders under different noise models (Gaussian, Salt & Pepper), using PSNR as the primary performance metric.

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

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

CAT12 image denoising as a Docker container