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Denoising is a collection of techniques to remove unwanted noise from a signal. Typically this is done by filtering, but a variety of other techniques is available. Often combinations are used in sequence to optimize the denoising.
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Poisson noise and curve fitting - denoise first?
Denoising images is often good for qualitative reasons, but I'm curious to know about the quantitative case, for example where the volume of the Gaussian is important? … By "denoising", I'm thinking along the lines of the techniques such as Non-local PCA rather than median filtering etc. …