Image Processing uing OpenCV - Image Filtering, Contour Finder, Color Image Processing, QrCode Reader, ...
Non Local Means (NLM) python implementation.
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
Adding and removing salt and pepper noise, median filter
Adaptive Cesáro Mean Filter for Salt-and-Pepper Noise Removal
An Iterative Mean Filter for Image Denoising
A visual snow syndrome diagnostic tool made with Python and PyQT5 . Involves image processing with numpy and OpenCV.
Different Adaptive Modified Riesz Mean Filter For High-Density Salt-and-Pepper Noise Removal in Grayscale Images
This GitHub repository contains an example demonstrating the application of fundamental image processing filters (Mean, Median, Gaussian) using Python and OpenCV, along with the addition of Salt and Pepper Noise.
This Matlab code is used to add the Salt and Pepper Noise to images.
Python implementation of the Non Local Means algorithm for Image Denoising
Code to apply Salt & Pepper filter on images.
This is a homework about Edge detection, various image filters and image transformation for Computer vision course @ FUM.
The median filter is a non-linear digital filtering technique, often used to remove noise from an image or signal.
A very fast and efficient multistage selective convolution filter for removal of salt and pepper noise
Add a description, image, and links to the salt-and-pepper-noise topic page so that developers can more easily learn about it.
To associate your repository with the salt-and-pepper-noise topic, visit your repo's landing page and select "manage topics."