Non-local means implementation (Image Processing coursework)
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Updated
Jan 1, 2018 - Python
Non-local means implementation (Image Processing coursework)
Non Local Means Filter for Image Denoising in CUDA
An efficient CUDA implementation of Adaptive Non Local Means algorithm for image denoising.
Optical Coherence Tomography Retinal Image Reconstruction via Non-local Weighted Sparse Representation
Python implementation of the Non Local Means algorithm for image denoising.
image filtering techniques in python with examples
Implemented the Non Local Means Algorithm for denoising an image
Repository for Aristotle Univerisity of Thessaloniki ECE Deparment, Parallel & Distributed Systems' 3rd project
GPU-ported Non-Local-Means for accelerated image denoising
Non Local Means (NLM) python implementation.
Python implementation of the Non Local Means algorithm for Image Denoising
Python implementation of "A non-local algorithm for image denoising" paper.
A Python implementation of a classical video denoising method, VNLB. Numba + Pytorch are used to achieve GPU parallelism.
Electron density maps denoising algorithms implementation
CAT12 image denoising as a Docker container
Swig-Python Wrapper for Video Non-Local Bayes
Non-local means denoise filter, drop-in replacement of the venerable KNLMeansCL for VapourSynth, but without the OpenCL dependency (CPU only)
PyTorch-based implementation of non-local means with GPU support.
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