Variational method for image denoising by distributed genetic algorithms on GRID environment

Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE

Volumn , Issue , 2006, Pages 227-232

  Cannavo F ^a   Nunnari, G ^a   Giordano, D ^a   Spampinato, C ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

(PL) PROPERTIES; APPLIED (CO); AUTONOMOUS ENTITIES; DE-NOISING; DENOISING PROBLEMS; DISTRIBUTED GENETIC ALGORITHMS; ENABLING TECHNOLOGIES; FILTER ALGORITHMS; GLOBAL PROBLEMS; GRID ARCHITECTURES; GRID ENVIRONMENTS; HIGH PERFORMANCE COMPUTING (HIPC); IMAGE DE-NOISING; IN ORDER; INTERNATIONAL WORKSHOPS; OPTIMIZ ATION PROBLEMS; OPTIMIZATION TASK; TIME CONSUMING; TIME PERFORMANCE; VARIATIONAL METHODS; VIRTUAL ORGANIZATION (VO); WIDE-RANGE;

ALGORITHMS; BOOLEAN FUNCTIONS; COMPUTATION THEORY; COMPUTER GRAPHICS; COMPUTER SOFTWARE; DIESEL ENGINES; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; IMAGE PROCESSING; IMAGING SYSTEMS; MATHEMATICAL PROGRAMMING; MIDDLEWARE; OPTICAL DATA PROCESSING; OPTIMIZATION; PARALLEL ALGORITHMS; PHILOSOPHICAL ASPECTS; SHAPE OPTIMIZATION; STRUCTURAL OPTIMIZATION;

GRID COMPUTING;

EID: 46449096284     PISSN: 15244547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WETICE.2006.72     Document Type: Conference Paper

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