In mathematics, deconvolution is the inverse of convolution. Both operations are used in signal processing and image processing. For example, it may be...

In mathematics, Wiener deconvolution is an application of the Wiener filter to the noise problems inherent in deconvolution. It works in the frequency...

In electrical engineering and applied mathematics, blind deconvolution is deconvolution without explicit knowledge of the impulse response function used...

The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been...

Cellular deconvolution (also referred to as cell type composition or cell proportion estimation) refers to computational techniques aiming at estimating...

deconvolution. For the case of laser beams, the PSF can be mathematically modeled using the concepts of Gaussian beams. For instance, deconvolution of...

other outputs can help developers deduce what the network has learned. Deconvolution, DeepDream and other generative methods can allow developers to see...

improving tonality are referred to as tone mapping. For image processing, deconvolution is the process of approximately inverting the process that caused an...

knowledge of shape function is needed for spectroscopic curve fitting and deconvolution. A spectral line corresponds to an electron transition in an atom, molecule...

synthesis that involves many purification steps. In MCCs, there is no deconvolution required to determine which compounds are biologically active because...