Vector quantization using the firefly algorithm for image compression

Expert Systems with Applications

Volumn 39, Issue 1, 2012, Pages 1078-1091

  Horng, Ming Huwi ^a  

^a NATIONAL PINGTUNG UNIVERSITY   (Taiwan)

Author keywords

Firefly algorithm; Honey bee mating optimization; LBG algorithm; Particle swarm optimization; Quantum particle swarm optimization; Vector quantization

Indexed keywords

CODEBOOKS; HONEY-BEE MATING OPTIMIZATION; LBG ALGORITHM; LINDE-BUZO-GRAY ALGORITHMS; LOCAL OPTIMAL; PARTICLE SWARM; PSO ALGORITHMS; QUANTUM PARTICLE SWARM OPTIMIZATION; RECONSTRUCTED IMAGE; VQ ALGORITHM;

ALGORITHMS; BIOLUMINESCENCE; FOOD PRODUCTS; VECTOR QUANTIZATION; VECTORS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 81855207490     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.07.108     Document Type: Article

References (21)

1. H.A. Abbasss Marriage in Honey-bee Optimization (HBO); A haploetrosis polygynous swarming approach The Congress on Evolutionary Computation (CEC 2001) 2001 207 214
2. C.C. Chang, T.C. Li, and J.B. Yeh Fast codebook search algorithms based on the tree-structured vector quantization Pattern Recognition Letters 27 2006 1077 1086
3. T.S. Chen, and C.C. Chang Diagonal axes method (DAM): A fast search algorithm for vector quantization IEEE Transactions on Circuit System and Video Technology 7 3 1997 555 559
4. Chen, Q.; Yang, J. G.; & Gou, J. (2005). Image compression method using improved PSO vector quantization. In First international conference on neural computation (ICNC 2005), Lecture Notes on Computer Science (Vol. 3612, pp. 490-495).
5. M. Fathian, B. Amiri, and A. Maroosi Application of Honey-bee Mating Optimization algorithm on clustering Applied Mathematics and Computations 19 2 2007 1502 1513
6. H.H. Feng, C.Y. Chen, and F. Ye Evolutionary fuzzy particle swarm optimization vector quantization learning scheme in image compression Expert Systems with Applications 32 2007 213 222
7. H. Frezza-Buet Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network Neurocomputing 71 2007 1191 1202
8. C.C. Han, Y.N. Chen, C.C. Lo, and C.T. Wang A novel approach for vector quantization using a neural network, mean shift, and principal component analysis-based seed re-initialization Signal Processing 87 2007 799 810
9. M.H. Horng Honey Bee Mating Optimization vector quantization scheme in image compression AICI, Lecture Notes in Computer Science 5855 2009 185 194
10. Jiang, T. W. (2009). The application of image thresholding and vector quantization using honey bee mating optimization. Master thesis of Department of Computer Science and Information Engineering, National PingTung Institute of Commerce.
11. Kennedy, J. & Everhart, R. (1995). Particle Swarm Optimization. In Proceedings of IEEE international conference on neural networks (pp.1942-1948).
12. T. Kohonen Self-organized formation of topologically correct feature maps Biological Cybernetics 43 1982 59 69
13. Y. Linde, A. Buzo, and R.M. Gray An algorithm for vector quantizer design IEEE Transaction on Communications 28 1 1980 84 95
14. Lloyd, S. P. (1957). Least Square Quantization in PCM's. Bell Telephone Laboratories Paper, Murray Hill. NJ.
15. Lukasik, S. & Zak, S. (2009). Firefly algorithm for continuous constrained optimization tasks. In 1st International conference on computational collective intelligence, semantic web, social networks and multiagent systems (pp. 5-7).
16. G. Patane, and M. Russo The enhanced LBG algorithm Neural Networks 14 2002 1219 1237
17. Rajpoot, A.; Hussain, A.; Saleem, K. & Qureshi, Q. (2004). A Novel Image Coding Algorithm Using Ant Colony System Vector Quantization. In International workshop on systems, signals and image processing, Poznan, Poland.
18. Y. Wang, X.Y. Feng, Y.X. Huang, D.B. Pu, W.G. Zhou, and Y.C. Liang A novel quantum swarm evolutionary algorithm and its applications Neurocomputing 70 2007 633 640
19. X.S. Yang Nature-inspired metaheuristic algorithms 2008 Luniver Press
20. Yang, X. S. (2009). Firefly algorithms for multimodal optimization. In Stochastic Algorithms: Foundation and Applications, SAGA 2009, Lecture Notes in Computer Sciences (Vol. 5792, pp. 169-178).
21. Zhao, Y.; Fang, A.; Wang, K. & Pang, H. (2007). Multilevel minimum cross entropy threshold selection based on quantum particle swarm optimization. In Proceeding of Eight ACIS international conference on software engineering, artificial intelligence, networking and parallel/distributed computing (pp. 65-69).