DeconvolutionMethoden
Deconvolution methods are a class of signal processing techniques used to reverse the process of blurring or distortion that has been applied to a signal. This distortion is often modeled as a convolution of the original signal with a kernel, often referred to as the point spread function (PSF) or blur kernel. The goal of deconvolution is to estimate the original signal from the observed, degraded signal.
Various deconvolution algorithms exist, each with different assumptions and approaches. One common method is inverse filtering,
Other important deconvolution techniques include Richardson-Lucy deconvolution, which is an iterative algorithm well-suited for image restoration,