SheydaGhb/SDNet
Estimation of non-stationary noise and noise sigma map
This tool helps researchers and engineers working with image processing to accurately identify and map non-uniform noise in digital images. It takes a noisy grayscale or RGB image as input and outputs a 'sigma-map,' which visually represents the local noise levels across the image. This precise noise mapping is crucial for applying highly effective image denoising methods.
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Use this if you need to precisely understand and quantify spatially varying noise in images before applying advanced denoising techniques.
Not ideal if you only need to remove simple, uniform (additive white Gaussian) noise, as simpler methods might suffice.
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MATLAB
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Last pushed
Mar 30, 2023
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