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Deconvolution

Deconvolution is a mathematical operation used in Image Restoration to recover an image that is degraded by a process than can be described with a Convolution.

The Image Formation process is mathematically described by a Convolution equation of the form

 g\ =\ f\, \ast\, h (Eq. 1)

where the image g arises from the convolution of the real light sources f (the object) and the Point Spread Function (PSF) h.

In a image acquisition we obtain the image g. We can also know how the microscope degrades the image by measuring its PSF (for example by Recording Beads) or by a theoretical calculation based on some Microscopic Parameters. Therefore the situation is described by the following illustration:

 ConvolutionEq1_1

We want to obtain information about the original object, and we do it by Doing Deconvolution.

Blind Deconvolution is a deconvolution method that tries to obtain both the object f and the PSF h simultaneously out of the image g. Therefore in principle it does not require a measurement of the PSF.

 BlindDeconvolution_2

See more details on how the Huygens Software does deconvolution in Huygens Deconvolution.

This article is taken from the SVI-wiki, a support base that also you can edit.

© 1995-2010 Scientific Volume Imaging B.V.  Images used with permission.Updated: Thu 4 Jun 2009