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Digital image processing 6: The Wiener filter, given by w(1, 0) = HCM H(ur)? H(u.v)|H(1.c)| + S,(ur)/S,(u, v) is often referred to as the least
Digital image processing
6: The Wiener filter, given by w(1, 0) = HCM \H(ur)? H(u.v)|H(1.c)| + S,(ur)/S,(u, v) is often referred to as the least square error filter. Explain the statement, define the terms in the equation, and explain under which conditions the Wiener filter is equal to the inverse filtering procedure. END OF TEST
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Moving Objects Databases
Authors: Ralf Hartmut Güting, Markus Schneider
1st Edition
0120887991, 978-0120887996
