Title :
Image representation by means of CNN dynamics
Author :
Tang Tang ; Tetzlaff, Ronald
Author_Institution :
Fac. of Electr. Eng & Inf. Technol., Dresden Univ. of Technol., Dresden, Germany
Abstract :
By taking advantage of their nonlinear dynamics Cellular Nonlinear Networks (CNN) are considered to be powerful tools for many image processing applications. In this paper we will try to investigate the feasibility of image representation by using CNN dynamics.
Keywords :
cellular neural nets; image representation; nonlinear dynamical systems; CNN dynamics; image processing applications; image representation; nonlinear dynamics cellular nonlinear networks; Image coding; Image representation; Manganese; Mathematical model; Optimization; Polynomials; Standards; CNN; image representation;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location :
Turin
Print_ISBN :
978-1-4673-0287-6
DOI :
10.1109/CNNA.2012.6331407
