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Strip-Method for Image and Signal Transformation (De Gruyter Studies in Mathematical Physics, 1) - Hardcover

Buch 1 von 53: De Gruyter Studies in Mathematical Physics

Mironovsky, Leonid A.; Slaev, Valery A.

 
9783110251920: Strip-Method for Image and Signal Transformation (De Gruyter Studies in Mathematical Physics, 1)

Inhaltsangabe

This work deals with the matrix methods of continuous signal and image processing according to which strip-transformation is used. The authors suggest ways to solve a problem of evaluating potential noise immunity and synthesis of an optimal filter for the case of pulse noises, of applying the two-dimensional strip-transformation for storage and noise immune transmission of images. The strip-transformation of images is illustrated by examples and classes of images invariant relative to symmetrical orthogonal transformations.

The monograph is intended for scientists and specialists whose activities are connected with computer signals and images processing, instrumentation and metrology. It can also be used by undergraduates, as well as by post-graduates for studying computer methods of signal and image processing.

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Über die Autorin bzw. den Autor

Leonid A. Mironovsky, Saint Petersburg State University of Aerospace Instrumentation, Russia; Valery A. Slaev, Mendeleyev Research Institute for Metrology, Saint Petersburg, Russia.

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The monograph deals with the matrix methods of continuous signal and image processing according to which strip-transformation is used. The authors suggest ways to solve a problem of evaluating potential noise immunity and synthesis of an optimal filter for the case of pulse noises, of applying the two-dimensional strip-transformation for storage and noise immune transmission of images. The strip-transformation of images is illustrated by examples and classes of images invariant relative to symmetrical orthogonal transformations are given. The monograph is intended for scientists and specialists whose activities are connected with computer signals and images processing, instrumentation and metrology. It can also be used by undergraduates, as well as by post-graduates for studying computer methods of signal and image processing.

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