TY - GEN
T1 - Mixed constrained image filter design using particle swarm optimization
AU - Bao, Zhiguo
AU - Watanabe, Takahiro
PY - 2010/12/1
Y1 - 2010/12/1
N2 - This paper describes evolutionary image filter design for noise reduction using particle swarm optimization (PSO), where mixed constraints on the circuit complexity, power and signal delay are optimized. First, the evaluating values about correctness, complexity, power and signal delay are introduced to the fitness function. Then PSO autonomously synthesizes a filter. To verify the validity of our method, an image filter for noise reduction is synthesized. The performance of resultant filter by PSO is similar to that of Genetic Algorithm (GA), but the running time of PSO is 10% shorter than that of GA.
AB - This paper describes evolutionary image filter design for noise reduction using particle swarm optimization (PSO), where mixed constraints on the circuit complexity, power and signal delay are optimized. First, the evaluating values about correctness, complexity, power and signal delay are introduced to the fitness function. Then PSO autonomously synthesizes a filter. To verify the validity of our method, an image filter for noise reduction is synthesized. The performance of resultant filter by PSO is similar to that of Genetic Algorithm (GA), but the running time of PSO is 10% shorter than that of GA.
KW - Evolutionary design
KW - Image filter
KW - PSO
UR - http://www.scopus.com/inward/record.url?scp=80052335323&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052335323&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:80052335323
SN - 9784990288044
T3 - Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
SP - 230
EP - 235
BT - Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
T2 - 15th International Symposium on Artificial Life and Robotics, AROB '10
Y2 - 4 February 2010 through 6 February 2010
ER -