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Speckle Noise Estimation and Removal
This function estimates automaticly speckle noise amount (for example of SAR images) and then denoise it using the sigma filter. This is done based on the following 2 papers: 1.L. A. FRULLA, J. A. MILOVICH and D. A. GAGLIARDINI, Automatic computation of speckle standard deviation in SAR images, remote sensing,2000, vol. 21, no. 15, 2883-2900 2. J.S. Lee, Digital image smoothing and the sigma filter, Computer Vision, Graphics, And Image Processing 24, 256-269 (1983)
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Noise Removal using the alpha-trimmed mean filter
This function adds noise with specified Signal to Noise Ratio (SNR) to the original image and then filter it (denoise it) using the alpha-trimmed mean filter. A comparison to the median and mean filters is also shown
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Noise Removal Using the K-nearest neighbour (KNN) filter
This function adds noise with specified Signal to Noise Ratio (SNR) to the original image and then remove it using the K-nearest neighbour operator (KNN)
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Kalman Filter Simulation
Kalman filter simulation for a vehicle travelling along a road