A visual snow syndrome diagnostic tool made with Python and PyQT5 . Involves image processing with numpy and OpenCV.

This is a homework about Edge detection, various image filters and image transformation for Computer vision course @ FUM.

Adding and removing salt and pepper noise, median filter

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.

Median Filter

Different Adaptive Modified Riesz Mean Filter For High-Density Salt-and-Pepper Noise Removal in Grayscale Images

Adaptive Cesáro Mean Filter for Salt-and-Pepper Noise Removal

A very fast and efficient multistage selective convolution filter for removal of salt and pepper noise

An Iterative Mean Filter for Image Denoising

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.

Image Processing uing OpenCV - Image Filtering, Contour Finder, Color Image Processing, QrCode Reader, ...

A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks

The median filter is a non-linear digital filtering technique, often used to remove noise from an image or signal.

Non Local Means (NLM) python implementation.