Digital Image Processing filters developed by python using ipywidgets.

Learning-to-Augment Strategy Using Noisy and Denoised Data: An Algorithm to Improve Generalization of Deep CNN

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

An Autoencoder Model to Create New Data Using Noisy and Denoised Images Corrupted by the Speckle, Gaussian, Poisson, and impulse Noise.

An Iterative Mean Filter for Image Denoising

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

Diffusion based method for impulse noise removal using residual feedback

Nearest Neighbor Filtering Method

Matlab implementation of: HSMF: hardware-efficient single-stage feedback mean filter for high-density salt-and-pepper noise removal.