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

Non Local Means (NLM) python implementation.

✨ Dive into image denoising magic! This project uses Attention U-Net and PatchGAN to tackle noise types like low Gaussian and salt-and-pepper noise. Perfect for computer vision, deep learning, and generative modeling enthusiasts. Restore clarity to noisy images with cutting-edge AI! 🚀🎨

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

Adding and removing salt and pepper noise, median filter

An Iterative Mean Filter for Image Denoising

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

Python implementation of the Non Local Means algorithm 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.

Code to apply Salt & Pepper filter on images.

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

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

Median Filter

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