The design approaches of two-dimensional digital filters based on metaheuristic optimization algorithms: a review of the literature

Recently, the design of the two-dimensional digital filter has become a subject of interest in the field of two-dimensional signal processing. The two-dimensional digital filter has been applied in many important areas such as image processing, television systems and seismic signal processing. In di...

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Vydané v:The Artificial intelligence review Ročník 44; číslo 2; s. 265 - 287
Hlavní autori: Kockanat, Serdar, Karaboga, Nurhan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Dordrecht Springer Netherlands 01.08.2015
Springer
Springer Nature B.V
Predmet:
Algorithms
Artificial Intelligence
Complexity
Computation
Computer Science
Computing time
Design engineering
Design optimization
Digital filters
Digital imaging
Digital signal processors
Electric filters
Equipment and supplies
Evolutionary algorithms
Evolutionary computation
Filter design (mathematics)
Function words
Genetic algorithms
Genetic engineering
Genetics
Heuristic methods
Image processing
Literature reviews
Mathematical functions
Mathematical optimization
Optimization
Optimization algorithms
Particle swarm optimization
Researchers
Signal processing
Television
Television systems
Two dimensional
Metaheuristic optimization algorithms
Two-dimensional digital filter
Swarm intelligence
Filter design
Evolutionary algorithm
Optimization
ISSN:0269-2821, 1573-7462
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Shrnutí:Recently, the design of the two-dimensional digital filter has become a subject of interest in the field of two-dimensional signal processing. The two-dimensional digital filter has been applied in many important areas such as image processing, television systems and seismic signal processing. In digital filter design, there are several indispensable aims such as stability, reduced computational complexity and computational time. Thus, researchers and practitioners have investigated various advanced methods based on metaheuristic optimization algorithms for the design of the two-dimensional digital filter. Metaheuristic optimization algorithms have been applied to solve different complicated problems in various fields and they have also been successfully used in digital filter design. This paper presents a review of the design approaches of two-dimensional digital filters based on metaheuristic optimization algorithms such as the genetic algorithm, differential evolution and particle swarm optimization. By comparing the proposed design approaches based on metaheuristic optimization algorithms, it is observed that the genetic algorithm is the most preferred algorithm and emerging novel algorithms using metaheuristic optimization algorithms have better performance in terms of computational complexity and computational time. It is hoped that this review will be helpful for researchers and practitioners studying the design of two-dimensional digital filters.
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ISSN:0269-2821
1573-7462
DOI:10.1007/s10462-014-9427-1