Bayesian deconvolution

Bayesian deconvolution is a statistical method used to recover an original signal that has been blurred or mixed together due to measurement limitations or noise. Using Bayes' theorem, it combines prior knowledge about the signal with observed data to estimate the most probable original signal. This approach accounts for uncertainties and helps to separate, or "deconvolve," the true signal from the distortions. It's widely used in fields like image processing, astronomy, and medical imaging to improve clarity and interpret the underlying information more accurately.