Paper Info
Title
A novel max-plus algebra based wavelet transform and its applications in image processing
Abstract
Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...
Year
DOI
Venue
2009
10.1109/ICSMC.2009.5346727
SMC
Keywords
Field
DocType
evolutionary multiobjective optimization,evolutionary computation,entire pareto front,novel max-plus,image processing,active research area,non-dominated solution set,emo algorithm,multiobjective optimization,algebra,mathematical morphology,wavelet transform,data mining,image reconstruction,wavelet transforms,computational complexity,pixel
Harmonic wavelet transform,Computer science,Artificial intelligence,Discrete wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet,Computer vision,Algorithm,Second-generation wavelet transform,Cascade algorithm,Stationary wavelet transform,Machine learning
Conference
ISSN
Citations 
PageRank 
1062-922X
3
0.39
References 
Authors
4
2
Name
Order
Citations
PageRank
Barnabás Bede168944.85
Hajime Nobuhara219234.02