Explore: Déconvolution

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

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 can result from an electron transition in an atom,

wavelet. This is useful when it comes to a process known as deconvolution. Deconvolution allows for a more readable and more focused VSP. The idea is

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

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