Title :
Variational methods in signal and image analysis
Author :
Mottl, Vadim ; Blinov, Alexander ; Kopylov, Andrey ; Kostin, Alexey ; Muchnik, Ilya
Author_Institution :
Tula State Univ., Russia
Abstract :
A class of signal and image processing problems is considered from the standpoint of treating them as those of coordinating the local data-dependent information and model-based smoothness constraints. Such a generalized problem is set as the formal problem of minimization of a separable objective function defined on an appropriate neighborhood graph of data array elements
Keywords :
graph theory; image processing; minimisation; variational techniques; data array elements; image analysis; image processing; local data-dependent information; model-based smoothness constraints; neighborhood graph; separable objective function minimization; signal analysis; signal processing; variational methods; Computer science; Data analysis; Decision making; Image analysis; Image processing; Image texture analysis; Lattices; Mathematics; Signal analysis; Signal processing;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711196
