Institute of Information Theory and Automation

Publication details

Invariants to convolution in arbitrary dimensions

Journal Article

Flusser Jan, Boldyš Jiří, Zitová Barbara


serial: Journal of Mathematical Imaging and Vision vol.13, 2 (2000), p. 101-113

research: AV0Z1075907

project(s): IZ4178, MZ, GA102/00/1711, GA ČR

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abstract (eng):

Our paper introduces a new class of image descriptors which are invariant to convolution of the original image with arbitrary centrosymmetric point-spread function (PSF). The invariants are based on image moments and can be defined in the spectral domain as well as in the spatial domain. They can be used for restoration of multidimensional image data which were acquired by a linear imaging system of unknown PSF. The paper presents theoretical results as well as numerical examples and practical applications.

Cosati: 09K

RIV: JD

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Last modification: 21.12.2012
Institute of Information Theory and Automation