Strip-Method for Image and Signal Transformation

Leonid A. Mironovsky, Valery A. Slaev

ISBN 10: 3110251922 / ISBN 13: 9783110251920

Published by De Gruyter, DE, 2011

About this Item

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.

Seller Inventory # LU-9783110251920

Bibliographic Details

• Title: Strip-Method for Image and Signal Transformation
• Publisher: De Gruyter, DE
• Publication Date: 2011
• Language: English
• ISBN 10: 3110251922
• ISBN 13: 9783110251920
• Binding: Hardback
• Condition: New
• Weight: 438 grams

About this title

Synopsis

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.

About the Author

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