A Python implementation of a classical video denoising method, VNLB. Numba + Pytorch are used to achieve GPU parallelism.
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Updated
Mar 22, 2022 - Python
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
Python implementation of the Non Local Means algorithm for Image Denoising
Swig-Python Wrapper for Video Non-Local Bayes
a denoiser using gaussian, median filters and PCA
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 and gaussian noisy image frames from video data using autoencoder.
Implemented the Non Local Means Algorithm for denoising an image
Non-local means denoise filter, drop-in replacement of the venerable KNLMeansCL for VapourSynth, but without the OpenCL dependency (CPU only)
Repository for Aristotle Univerisity of Thessaloniki ECE Deparment, Parallel & Distributed Systems' 3rd project
Python implementation of "A non-local algorithm for image denoising" paper.
Optical Coherence Tomography Retinal Image Reconstruction via Non-local Weighted Sparse Representation
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
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