Removal of random valued impulse noise using DTBDM algorithm - Identifies corrupted pixels in an image and corrects them based on neighboring values using non-linear filtering i.e., Modified decision based median filtering along with an impulse detector. • Displays edge preserving-enhancing abilities resulting in better contrast and color mappin…

MOVED to https://gitlab.com/nicstrisc/B-COSFIRE-MATLAB. Matlab implementation of the B-COSFIRE filters for detection of curvilinear patterns in images

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

Extended Kalman Filters Are useful when there is an Non Linearity in the su=ystem and the estimation/prediction and measurement step requires a Jacobian matrix( first Derivative in the Taylor Series) is required to transform and work optimally.

An Iterative Mean Filter for Image Denoising

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

Unscented Kalman Filter Project.The project "unscented Kalman filter" is based on the same structure as the extended Kalman filter. It uses a main file that calls a function called Process Measurement. Anything important happens in this function. The function is part of the class ukf.