TY - GEN
T1 - Evolutionary design for image filter using GA
AU - Bao, Zhiguo
AU - Watanabe, Takahiro
PY - 2009
Y1 - 2009
N2 - This paper describes evolutionary image filter design for noise reduction using Genetic Algorithm (GA), where the circuit complexity, power and signal delay are optimized. First, the evaluating value about correctness, complexity, power and signal delay are introduced to the fitness function. Then GA autonomously synthesizes a circuit which is simple and has good performance. To verify the effectiveness of our method, an image filter for noise reduction is experimentally synthesized. The resultant image filter by GA and the quality of filtered image are discussed.
AB - This paper describes evolutionary image filter design for noise reduction using Genetic Algorithm (GA), where the circuit complexity, power and signal delay are optimized. First, the evaluating value about correctness, complexity, power and signal delay are introduced to the fitness function. Then GA autonomously synthesizes a circuit which is simple and has good performance. To verify the effectiveness of our method, an image filter for noise reduction is experimentally synthesized. The resultant image filter by GA and the quality of filtered image are discussed.
UR - http://www.scopus.com/inward/record.url?scp=77951139569&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951139569&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2009.5396235
DO - 10.1109/TENCON.2009.5396235
M3 - Conference contribution
AN - SCOPUS:77951139569
SN - 9781424445479
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - TENCON 2009 - 2009 IEEE Region 10 Conference
T2 - 2009 IEEE Region 10 Conference, TENCON 2009
Y2 - 23 November 2009 through 26 November 2009
ER -