DocumentCode :
467775
Title :
Fuzzy Blocking Artifacts Reduction Algorithm Based on Human Visual System
Author :
Zhao, Wei-bin ; Zhou, Zhi-heng
Author_Institution :
Guangdong Police Officers Coll., Guangzhou
Volume :
3
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
1626
Lastpage :
1630
Abstract :
Traditional blocking artifacts reduction algorithm often causes image edges losing. To address this problem, a fuzzy edge-sensitivity blocking artifacts reduction algorithm is proposed. Based on some characteristics of human visual system, this algorithm applies adaptive filter to current pixel by integrating fuzzy logic technique. The experimental results show that this algorithm can obtain better results than traditional ones.
Keywords :
artificial intelligence; fuzzy set theory; adaptive filter; fuzzy blocking artifacts reduction algorithm; fuzzy logic technique; human visual system; Cybernetics; Decoding; Discrete cosine transforms; Fuzzy systems; Humans; Image processing; Machine learning; Machine learning algorithms; Transform coding; Visual system; Blocking artifacts; Fuzzy rule; Human visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370406
Filename :
4370406
Link To Document :
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